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Weiye Loh

Science, Strong Inference -- Proper Scientific Method - 0 views

256.com/...strong_inference.html

Science Statistics Media Representation Methodolatry Falsifiability

shared by Weiye Loh on 20 Mar 11 - No Cached
  • Scientists these days tend to keep up a polite fiction that all science is equal. Except for the work of the misguided opponent whose arguments we happen to be refuting at the time, we speak as though every scientist's field and methods of study are as good as every other scientist's and perhaps a little better. This keeps us all cordial when it comes to recommending each other for government grants.
  • Why should there be such rapid advances in some fields and not in others? I think the usual explanations that we tend to think of - such as the tractability of the subject, or the quality or education of the men drawn into it, or the size of research contracts - are important but inadequate. I have begun to believe that the primary factor in scientific advance is an intellectual one. These rapidly moving fields are fields where a particular method of doing scientific research is systematically used and taught, an accumulative method of inductive inference that is so effective that I think it should be given the name of "strong inference." I believe it is important to examine this method, its use and history and rationale, and to see whether other groups and individuals might learn to adopt it profitably in their own scientific and intellectual work. In its separate elements, strong inference is just the simple and old-fashioned method of inductive inference that goes back to Francis Bacon. The steps are familiar to every college student and are practiced, off and on, by every scientist. The difference comes in their systematic application. Strong inference consists of applying the following steps to every problem in science, formally and explicitly and regularly: Devising alternative hypotheses; Devising a crucial experiment (or several of them), with alternative possible outcomes, each of which will, as nearly is possible, exclude one or more of the hypotheses; Carrying out the experiment so as to get a clean result; Recycling the procedure, making subhypotheses or sequential hypotheses to refine the possibilities that remain, and so on.
  • On any new problem, of course, inductive inference is not as simple and certain as deduction, because it involves reaching out into the unknown. Steps 1 and 2 require intellectual inventions, which must be cleverly chosen so that hypothesis, experiment, outcome, and exclusion will be related in a rigorous syllogism; and the question of how to generate such inventions is one which has been extensively discussed elsewhere (2, 3). What the formal schema reminds us to do is to try to make these inventions, to take the next step, to proceed to the next fork, without dawdling or getting tied up in irrelevancies.
  • ...28 more annotations...
  • It is clear why this makes for rapid and powerful progress. For exploring the unknown, there is no faster method; this is the minimum sequence of steps. Any conclusion that is not an exclusion is insecure and must be rechecked. Any delay in recycling to the next set of hypotheses is only a delay. Strong inference, and the logical tree it generates, are to inductive reasoning what the syllogism is to deductive reasoning in that it offers a regular method for reaching firm inductive conclusions one after the other as rapidly as possible.
  • "But what is so novel about this?" someone will say. This is the method of science and always has been, why give it a special name? The reason is that many of us have almost forgotten it. Science is now an everyday business. Equipment, calculations, lectures become ends in themselves. How many of us write down our alternatives and crucial experiments every day, focusing on the exclusion of a hypothesis? We may write our scientific papers so that it looks as if we had steps 1, 2, and 3 in mind all along. But in between, we do busywork. We become "method- oriented" rather than "problem-oriented." We say we prefer to "feel our way" toward generalizations. We fail to teach our students how to sharpen up their inductive inferences. And we do not realize the added power that the regular and explicit use of alternative hypothesis and sharp exclusion could give us at every step of our research.
  • A distinguished cell biologist rose and said, "No two cells give the same properties. Biology is the science of heterogeneous systems." And he added privately. "You know there are scientists, and there are people in science who are just working with these over-simplified model systems - DNA chains and in vitro systems - who are not doing science at all. We need their auxiliary work: they build apparatus, they make minor studies, but they are not scientists." To which Cy Levinthal replied: "Well, there are two kinds of biologists, those who are looking to see if there is one thing that can be understood and those who keep saying it is very complicated and that nothing can be understood. . . . You must study the simplest system you think has the properties you are interested in."
  • At the 1958 Conference on Biophysics, at Boulder, there was a dramatic confrontation between the two points of view. Leo Szilard said: "The problems of how enzymes are induced, of how proteins are synthesized, of how antibodies are formed, are closer to solution than is generally believed. If you do stupid experiments, and finish one a year, it can take 50 years. But if you stop doing experiments for a little while and think how proteins can possibly be synthesized, there are only about 5 different ways, not 50! And it will take only a few experiments to distinguish these." One of the young men added: "It is essentially the old question: How small and elegant an experiment can you perform?" These comments upset a number of those present. An electron microscopist said. "Gentlemen, this is off the track. This is philosophy of science." Szilard retorted. "I was not quarreling with third-rate scientists: I was quarreling with first-rate scientists."
  • Any criticism or challenge to consider changing our methods strikes of course at all our ego-defenses. But in this case the analytical method offers the possibility of such great increases in effectiveness that it is unfortunate that it cannot be regarded more often as a challenge to learning rather than as challenge to combat. Many of the recent triumphs in molecular biology have in fact been achieved on just such "oversimplified model systems," very much along the analytical lines laid down in the 1958 discussion. They have not fallen to the kind of men who justify themselves by saying "No two cells are alike," regardless of how true that may ultimately be. The triumphs are in fact triumphs of a new way of thinking.
  • the emphasis on strong inference
  • is also partly due to the nature of the fields themselves. Biology, with its vast informational detail and complexity, is a "high-information" field, where years and decades can easily be wasted on the usual type of "low-information" observations or experiments if one does not think carefully in advance about what the most important and conclusive experiments would be. And in high-energy physics, both the "information flux" of particles from the new accelerators and the million-dollar costs of operation have forced a similar analytical approach. It pays to have a top-notch group debate every experiment ahead of time; and the habit spreads throughout the field.
  • Historically, I think, there have been two main contributions to the development of a satisfactory strong-inference method. The first is that of Francis Bacon (13). He wanted a "surer method" of "finding out nature" than either the logic-chopping or all-inclusive theories of the time or the laudable but crude attempts to make inductions "by simple enumeration." He did not merely urge experiments as some suppose, he showed the fruitfulness of interconnecting theory and experiment so that the one checked the other. Of the many inductive procedures he suggested, the most important, I think, was the conditional inductive tree, which proceeded from alternative hypothesis (possible "causes," as he calls them), through crucial experiments ("Instances of the Fingerpost"), to exclusion of some alternatives and adoption of what is left ("establishing axioms"). His Instances of the Fingerpost are explicitly at the forks in the logical tree, the term being borrowed "from the fingerposts which are set up where roads part, to indicate the several directions."
  • ere was a method that could separate off the empty theories! Bacon, said the inductive method could be learned by anybody, just like learning to "draw a straighter line or more perfect circle . . . with the help of a ruler or a pair of compasses." "My way of discovering sciences goes far to level men's wit and leaves but little to individual excellence, because it performs everything by the surest rules and demonstrations." Even occasional mistakes would not be fatal. "Truth will sooner come out from error than from confusion."
  • Nevertheless there is a difficulty with this method. As Bacon emphasizes, it is necessary to make "exclusions." He says, "The induction which is to be available for the discovery and demonstration of sciences and arts, must analyze nature by proper rejections and exclusions, and then, after a sufficient number of negatives come to a conclusion on the affirmative instances." "[To man] it is granted only to proceed at first by negatives, and at last to end in affirmatives after exclusion has been exhausted." Or, as the philosopher Karl Popper says today there is no such thing as proof in science - because some later alternative explanation may be as good or better - so that science advances only by disproofs. There is no point in making hypotheses that are not falsifiable because such hypotheses do not say anything, "it must be possible for all empirical scientific system to be refuted by experience" (14).
  • The difficulty is that disproof is a hard doctrine. If you have a hypothesis and I have another hypothesis, evidently one of them must be eliminated. The scientist seems to have no choice but to be either soft-headed or disputatious. Perhaps this is why so many tend to resist the strong analytical approach and why some great scientists are so disputatious.
  • Fortunately, it seems to me, this difficulty can be removed by the use of a second great intellectual invention, the "method of multiple hypotheses," which is what was needed to round out the Baconian scheme. This is a method that was put forward by T.C. Chamberlin (15), a geologist at Chicago at the turn of the century, who is best known for his contribution to the Chamberlain-Moulton hypothesis of the origin of the solar system.
  • Chamberlin says our trouble is that when we make a single hypothesis, we become attached to it. "The moment one has offered an original explanation for a phenomenon which seems satisfactory, that moment affection for his intellectual child springs into existence, and as the explanation grows into a definite theory his parental affections cluster about his offspring and it grows more and more dear to him. . . . There springs up also unwittingly a pressing of the theory to make it fit the facts and a pressing of the facts to make them fit the theory..." "To avoid this grave danger, the method of multiple working hypotheses is urged. It differs from the simple working hypothesis in that it distributes the effort and divides the affections. . . . Each hypothesis suggests its own criteria, its own method of proof, its own method of developing the truth, and if a group of hypotheses encompass the subject on all sides, the total outcome of means and of methods is full and rich."
  • The conflict and exclusion of alternatives that is necessary to sharp inductive inference has been all too often a conflict between men, each with his single Ruling Theory. But whenever each man begins to have multiple working hypotheses, it becomes purely a conflict between ideas. It becomes much easier then for each of us to aim every day at conclusive disproofs - at strong inference - without either reluctance or combativeness. In fact, when there are multiple hypotheses, which are not anyone's "personal property," and when there are crucial experiments to test them, the daily life in the laboratory takes on an interest and excitement it never had, and the students can hardly wait to get to work to see how the detective story will come out. It seems to me that this is the reason for the development of those distinctive habits of mind and the "complex thought" that Chamberlin described, the reason for the sharpness, the excitement, the zeal, the teamwork - yes, even international teamwork - in molecular biology and high- energy physics today. What else could be so effective?
  • Unfortunately, I think, there are other other areas of science today that are sick by comparison, because they have forgotten the necessity for alternative hypotheses and disproof. Each man has only one branch - or none - on the logical tree, and it twists at random without ever coming to the need for a crucial decision at any point. We can see from the external symptoms that there is something scientifically wrong. The Frozen Method, The Eternal Surveyor, The Never Finished, The Great Man With a Single Hypothcsis, The Little Club of Dependents, The Vendetta, The All-Encompassing Theory Which Can Never Be Falsified.
  • a "theory" of this sort is not a theory at all, because it does not exclude anything. It predicts everything, and therefore does not predict anything. It becomes simply a verbal formula which the graduate student repeats and believes because the professor has said it so often. This is not science, but faith; not theory, but theology. Whether it is hand-waving or number-waving, or equation-waving, a theory is not a theory unless it can be disproved. That is, unless it can be falsified by some possible experimental outcome.
  • the work methods of a number of scientists have been testimony to the power of strong inference. Is success not due in many cases to systematic use of Bacon's "surest rules and demonstrations" as much as to rare and unattainable intellectual power? Faraday's famous diary (16), or Fermi's notebooks (3, 17), show how these men believed in the effectiveness of daily steps in applying formal inductive methods to one problem after another.
  • Surveys, taxonomy, design of equipment, systematic measurements and tables, theoretical computations - all have their proper and honored place, provided they are parts of a chain of precise induction of how nature works. Unfortunately, all too often they become ends in themselves, mere time-serving from the point of view of real scientific advance, a hypertrophied methodology that justifies itself as a lore of respectability.
  • We speak piously of taking measurements and making small studies that will "add another brick to the temple of science." Most such bricks just lie around the brickyard (20). Tables of constraints have their place and value, but the study of one spectrum after another, if not frequently re-evaluated, may become a substitute for thinking, a sad waste of intelligence in a research laboratory, and a mistraining whose crippling effects may last a lifetime.
  • Beware of the man of one method or one instrument, either experimental or theoretical. He tends to become method-oriented rather than problem-oriented. The method-oriented man is shackled; the problem-oriented man is at least reaching freely toward that is most important. Strong inference redirects a man to problem-orientation, but it requires him to be willing repeatedly to put aside his last methods and teach himself new ones.
  • anyone who asks the question about scientific effectiveness will also conclude that much of the mathematizing in physics and chemistry today is irrelevant if not misleading. The great value of mathematical formulation is that when an experiment agrees with a calculation to five decimal places, a great many alternative hypotheses are pretty well excluded (though the Bohr theory and the Schrödinger theory both predict exactly the same Rydberg constant!). But when the fit is only to two decimal places, or one, it may be a trap for the unwary; it may be no better than any rule-of-thumb extrapolation, and some other kind of qualitative exclusion might be more rigorous for testing the assumptions and more important to scientific understanding than the quantitative fit.
  • Today we preach that science is not science unless it is quantitative. We substitute correlations for causal studies, and physical equations for organic reasoning. Measurements and equations are supposed to sharpen thinking, but, in my observation, they more often tend to make the thinking noncausal and fuzzy. They tend to become the object of scientific manipulation instead of auxiliary tests of crucial inferences.
  • Many - perhaps most - of the great issues of science are qualitative, not quantitative, even in physics and chemistry. Equations and measurements are useful when and only when they are related to proof; but proof or disproof comes first and is in fact strongest when it is absolutely convincing without any quantitative measurement.
  • you can catch phenomena in a logical box or in a mathematical box. The logical box is coarse but strong. The mathematical box is fine-grained but flimsy. The mathematical box is a beautiful way of wrapping up a problem, but it will not hold the phenomena unless they have been caught in a logical box to begin with.
  • Of course it is easy - and all too common - for one scientist to call the others unscientific. My point is not that my particular conclusions here are necessarily correct, but that we have long needed some absolute standard of possible scientific effectiveness by which to measure how well we are succeeding in various areas - a standard that many could agree on and one that would be undistorted by the scientific pressures and fashions of the times and the vested interests and busywork that they develop. It is not public evaluation I am interested in so much as a private measure by which to compare one's own scientific performance with what it might be. I believe that strong inference provides this kind of standard of what the maximum possible scientific effectiveness could be - as well as a recipe for reaching it.
  • The strong-inference point of view is so resolutely critical of methods of work and values in science that any attempt to compare specific cases is likely to sound but smug and destructive. Mainly one should try to teach it by example and by exhorting to self-analysis and self-improvement only in general terms
  • one severe but useful private test - a touchstone of strong inference - that removes the necessity for third-person criticism, because it is a test that anyone can learn to carry with him for use as needed. It is our old friend the Baconian "exclusion," but I call it "The Question." Obviously it should be applied as much to one's own thinking as to others'. It consists of asking in your own mind, on hearing any scientific explanation or theory put forward, "But sir, what experiment could disprove your hypothesis?"; or, on hearing a scientific experiment described, "But sir, what hypothesis does your experiment disprove?"
  • It is not true that all science is equal; or that we cannot justly compare the effectiveness of scientists by any method other than a mutual-recommendation system. The man to watch, the man to put your money on, is not the man who wants to make "a survey" or a "more detailed study" but the man with the notebook, the man with the alternative hypotheses and the crucial experiments, the man who knows how to answer your Question of disproof and is already working on it.
  • Weiye Loh on 20 Mar 11
     
    There is so much bad science and bad statistics information in media reports, publications, and shared between conversants that I think it is important to understand about facts and proofs and the associated pitfalls.
Weiye Loh

The Inequality That Matters - Tyler Cowen - The American Interest Magazine - 0 views

www.the-american-interest.com/article-bd.cfm

Income Inequality Social Divide Economy

shared by Weiye Loh on 16 Dec 10 - No Cached
  • most of the worries about income inequality are bogus, but some are probably better grounded and even more serious than even many of their heralds realize.
  • In terms of immediate political stability, there is less to the income inequality issue than meets the eye. Most analyses of income inequality neglect two major points. First, the inequality of personal well-being is sharply down over the past hundred years and perhaps over the past twenty years as well. Bill Gates is much, much richer than I am, yet it is not obvious that he is much happier if, indeed, he is happier at all. I have access to penicillin, air travel, good cheap food, the Internet and virtually all of the technical innovations that Gates does. Like the vast majority of Americans, I have access to some important new pharmaceuticals, such as statins to protect against heart disease. To be sure, Gates receives the very best care from the world’s top doctors, but our health outcomes are in the same ballpark. I don’t have a private jet or take luxury vacations, and—I think it is fair to say—my house is much smaller than his. I can’t meet with the world’s elite on demand. Still, by broad historical standards, what I share with Bill Gates is far more significant than what I don’t share with him.
  • when average people read about or see income inequality, they don’t feel the moral outrage that radiates from the more passionate egalitarian quarters of society. Instead, they think their lives are pretty good and that they either earned through hard work or lucked into a healthy share of the American dream.
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  • This is why, for example, large numbers of Americans oppose the idea of an estate tax even though the current form of the tax, slated to return in 2011, is very unlikely to affect them or their estates. In narrowly self-interested terms, that view may be irrational, but most Americans are unwilling to frame national issues in terms of rich versus poor. There’s a great deal of hostility toward various government bailouts, but the idea of “undeserving” recipients is the key factor in those feelings. Resentment against Wall Street gamesters hasn’t spilled over much into resentment against the wealthy more generally. The bailout for General Motors’ labor unions wasn’t so popular either—again, obviously not because of any bias against the wealthy but because a basic sense of fairness was violated. As of November 2010, congressional Democrats are of a mixed mind as to whether the Bush tax cuts should expire for those whose annual income exceeds $250,000; that is in large part because their constituents bear no animus toward rich people, only toward undeservedly rich people.
  • envy is usually local. At least in the United States, most economic resentment is not directed toward billionaires or high-roller financiers—not even corrupt ones. It’s directed at the guy down the hall who got a bigger raise. It’s directed at the husband of your wife’s sister, because the brand of beer he stocks costs $3 a case more than yours, and so on. That’s another reason why a lot of people aren’t so bothered by income or wealth inequality at the macro level. Most of us don’t compare ourselves to billionaires. Gore Vidal put it honestly: “Whenever a friend succeeds, a little something in me dies.”
  • Occasionally the cynic in me wonders why so many relatively well-off intellectuals lead the egalitarian charge against the privileges of the wealthy. One group has the status currency of money and the other has the status currency of intellect, so might they be competing for overall social regard? The high status of the wealthy in America, or for that matter the high status of celebrities, seems to bother our intellectual class most. That class composes a very small group, however, so the upshot is that growing income inequality won’t necessarily have major political implications at the macro level.
  • All that said, income inequality does matter—for both politics and the economy.
  • The numbers are clear: Income inequality has been rising in the United States, especially at the very top. The data show a big difference between two quite separate issues, namely income growth at the very top of the distribution and greater inequality throughout the distribution. The first trend is much more pronounced than the second, although the two are often confused.
  • When it comes to the first trend, the share of pre-tax income earned by the richest 1 percent of earners has increased from about 8 percent in 1974 to more than 18 percent in 2007. Furthermore, the richest 0.01 percent (the 15,000 or so richest families) had a share of less than 1 percent in 1974 but more than 6 percent of national income in 2007. As noted, those figures are from pre-tax income, so don’t look to the George W. Bush tax cuts to explain the pattern. Furthermore, these gains have been sustained and have evolved over many years, rather than coming in one or two small bursts between 1974 and today.1
  • At the same time, wage growth for the median earner has slowed since 1973. But that slower wage growth has afflicted large numbers of Americans, and it is conceptually distinct from the higher relative share of top income earners. For instance, if you take the 1979–2005 period, the average incomes of the bottom fifth of households increased only 6 percent while the incomes of the middle quintile rose by 21 percent. That’s a widening of the spread of incomes, but it’s not so drastic compared to the explosive gains at the very top.
  • The broader change in income distribution, the one occurring beneath the very top earners, can be deconstructed in a manner that makes nearly all of it look harmless. For instance, there is usually greater inequality of income among both older people and the more highly educated, if only because there is more time and more room for fortunes to vary. Since America is becoming both older and more highly educated, our measured income inequality will increase pretty much by demographic fiat. Economist Thomas Lemieux at the University of British Columbia estimates that these demographic effects explain three-quarters of the observed rise in income inequality for men, and even more for women.2
  • Attacking the problem from a different angle, other economists are challenging whether there is much growth in inequality at all below the super-rich. For instance, real incomes are measured using a common price index, yet poorer people are more likely to shop at discount outlets like Wal-Mart, which have seen big price drops over the past twenty years.3 Once we take this behavior into account, it is unclear whether the real income gaps between the poor and middle class have been widening much at all. Robert J. Gordon, an economist from Northwestern University who is hardly known as a right-wing apologist, wrote in a recent paper that “there was no increase of inequality after 1993 in the bottom 99 percent of the population”, and that whatever overall change there was “can be entirely explained by the behavior of income in the top 1 percent.”4
  • And so we come again to the gains of the top earners, clearly the big story told by the data. It’s worth noting that over this same period of time, inequality of work hours increased too. The top earners worked a lot more and most other Americans worked somewhat less. That’s another reason why high earners don’t occasion more resentment: Many people understand how hard they have to work to get there. It also seems that most of the income gains of the top earners were related to performance pay—bonuses, in other words—and not wildly out-of-whack yearly salaries.5
  • It is also the case that any society with a lot of “threshold earners” is likely to experience growing income inequality. A threshold earner is someone who seeks to earn a certain amount of money and no more. If wages go up, that person will respond by seeking less work or by working less hard or less often. That person simply wants to “get by” in terms of absolute earning power in order to experience other gains in the form of leisure—whether spending time with friends and family, walking in the woods and so on. Luck aside, that person’s income will never rise much above the threshold.
  • The funny thing is this: For years, many cultural critics in and of the United States have been telling us that Americans should behave more like threshold earners. We should be less harried, more interested in nurturing friendships, and more interested in the non-commercial sphere of life. That may well be good advice. Many studies suggest that above a certain level more money brings only marginal increments of happiness. What isn’t so widely advertised is that those same critics have basically been telling us, without realizing it, that we should be acting in such a manner as to increase measured income inequality. Not only is high inequality an inevitable concomitant of human diversity, but growing income inequality may be, too, if lots of us take the kind of advice that will make us happier.
  • Why is the top 1 percent doing so well?
  • Steven N. Kaplan and Joshua Rauh have recently provided a detailed estimation of particular American incomes.6 Their data do not comprise the entire U.S. population, but from partial financial records they find a very strong role for the financial sector in driving the trend toward income concentration at the top. For instance, for 2004, nonfinancial executives of publicly traded companies accounted for less than 6 percent of the top 0.01 percent income bracket. In that same year, the top 25 hedge fund managers combined appear to have earned more than all of the CEOs from the entire S&P 500. The number of Wall Street investors earning more than $100 million a year was nine times higher than the public company executives earning that amount. The authors also relate that they shared their estimates with a former U.S. Secretary of the Treasury, one who also has a Wall Street background. He thought their estimates of earnings in the financial sector were, if anything, understated.
  • Many of the other high earners are also connected to finance. After Wall Street, Kaplan and Rauh identify the legal sector as a contributor to the growing spread in earnings at the top. Yet many high-earning lawyers are doing financial deals, so a lot of the income generated through legal activity is rooted in finance. Other lawyers are defending corporations against lawsuits, filing lawsuits or helping corporations deal with complex regulations. The returns to these activities are an artifact of the growing complexity of the law and government growth rather than a tale of markets per se. Finance aside, there isn’t much of a story of market failure here, even if we don’t find the results aesthetically appealing.
  • When it comes to professional athletes and celebrities, there isn’t much of a mystery as to what has happened. Tiger Woods earns much more, even adjusting for inflation, than Arnold Palmer ever did. J.K. Rowling, the first billionaire author, earns much more than did Charles Dickens. These high incomes come, on balance, from the greater reach of modern communications and marketing. Kids all over the world read about Harry Potter. There is more purchasing power to spend on children’s books and, indeed, on culture and celebrities more generally. For high-earning celebrities, hardly anyone finds these earnings so morally objectionable as to suggest that they be politically actionable. Cultural critics can complain that good schoolteachers earn too little, and they may be right, but that does not make celebrities into political targets. They’re too popular. It’s also pretty clear that most of them work hard to earn their money, by persuading fans to buy or otherwise support their product. Most of these individuals do not come from elite or extremely privileged backgrounds, either. They worked their way to the top, and even if Rowling is not an author for the ages, her books tapped into the spirit of their time in a special way. We may or may not wish to tax the wealthy, including wealthy celebrities, at higher rates, but there is no need to “cure” the structural causes of higher celebrity incomes.
  • to be sure, the high incomes in finance should give us all pause.
  • The first factor driving high returns is sometimes called by practitioners “going short on volatility.” Sometimes it is called “negative skewness.” In plain English, this means that some investors opt for a strategy of betting against big, unexpected moves in market prices. Most of the time investors will do well by this strategy, since big, unexpected moves are outliers by definition. Traders will earn above-average returns in good times. In bad times they won’t suffer fully when catastrophic returns come in, as sooner or later is bound to happen, because the downside of these bets is partly socialized onto the Treasury, the Federal Reserve and, of course, the taxpayers and the unemployed.
  • if you bet against unlikely events, most of the time you will look smart and have the money to validate the appearance. Periodically, however, you will look very bad. Does that kind of pattern sound familiar? It happens in finance, too. Betting against a big decline in home prices is analogous to betting against the Wizards. Every now and then such a bet will blow up in your face, though in most years that trading activity will generate above-average profits and big bonuses for the traders and CEOs.
  • To this mix we can add the fact that many money managers are investing other people’s money. If you plan to stay with an investment bank for ten years or less, most of the people playing this investing strategy will make out very well most of the time. Everyone’s time horizon is a bit limited and you will bring in some nice years of extra returns and reap nice bonuses. And let’s say the whole thing does blow up in your face? What’s the worst that can happen? Your bosses fire you, but you will still have millions in the bank and that MBA from Harvard or Wharton. For the people actually investing the money, there’s barely any downside risk other than having to quit the party early. Furthermore, if everyone else made more or less the same mistake (very surprising major events, such as a busted housing market, affect virtually everybody), you’re hardly disgraced. You might even get rehired at another investment bank, or maybe a hedge fund, within months or even weeks.
  • Moreover, smart shareholders will acquiesce to or even encourage these gambles. They gain on the upside, while the downside, past the point of bankruptcy, is borne by the firm’s creditors. And will the bondholders object? Well, they might have a difficult time monitoring the internal trading operations of financial institutions. Of course, the firm’s trading book cannot be open to competitors, and that means it cannot be open to bondholders (or even most shareholders) either. So what, exactly, will they have in hand to object to?
  • Perhaps more important, government bailouts minimize the damage to creditors on the downside. Neither the Treasury nor the Fed allowed creditors to take any losses from the collapse of the major banks during the financial crisis. The U.S. government guaranteed these loans, either explicitly or implicitly. Guaranteeing the debt also encourages equity holders to take more risk. While current bailouts have not in general maintained equity values, and while share prices have often fallen to near zero following the bust of a major bank, the bailouts still give the bank a lifeline. Instead of the bank being destroyed, sometimes those equity prices do climb back out of the hole. This is true of the major surviving banks in the United States, and even AIG is paying back its bailout. For better or worse, we’re handing out free options on recovery, and that encourages banks to take more risk in the first place.
  • there is an unholy dynamic of short-term trading and investing, backed up by bailouts and risk reduction from the government and the Federal Reserve. This is not good. “Going short on volatility” is a dangerous strategy from a social point of view. For one thing, in so-called normal times, the finance sector attracts a big chunk of the smartest, most hard-working and most talented individuals. That represents a huge human capital opportunity cost to society and the economy at large. But more immediate and more important, it means that banks take far too many risks and go way out on a limb, often in correlated fashion. When their bets turn sour, as they did in 2007–09, everyone else pays the price.
  • And it’s not just the taxpayer cost of the bailout that stings. The financial disruption ends up throwing a lot of people out of work down the economic food chain, often for long periods. Furthermore, the Federal Reserve System has recapitalized major U.S. banks by paying interest on bank reserves and by keeping an unusually high interest rate spread, which allows banks to borrow short from Treasury at near-zero rates and invest in other higher-yielding assets and earn back lots of money rather quickly. In essence, we’re allowing banks to earn their way back by arbitraging interest rate spreads against the U.S. government. This is rarely called a bailout and it doesn’t count as a normal budget item, but it is a bailout nonetheless. This type of implicit bailout brings high social costs by slowing down economic recovery (the interest rate spreads require tight monetary policy) and by redistributing income from the Treasury to the major banks.
  • the “going short on volatility” strategy increases income inequality. In normal years the financial sector is flush with cash and high earnings. In implosion years a lot of the losses are borne by other sectors of society. In other words, financial crisis begets income inequality. Despite being conceptually distinct phenomena, the political economy of income inequality is, in part, the political economy of finance. Simon Johnson tabulates the numbers nicely: From 1973 to 1985, the financial sector never earned more than 16 percent of domestic corporate profits. In 1986, that figure reached 19 percent. In the 1990s, it oscillated between 21 percent and 30 percent, higher than it had ever been in the postwar period. This decade, it reached 41 percent. Pay rose just as dramatically. From 1948 to 1982, average compensation in the financial sector ranged between 99 percent and 108 percent of the average for all domestic private industries. From 1983, it shot upward, reaching 181 percent in 2007.7
  • There’s a second reason why the financial sector abets income inequality: the “moving first” issue. Let’s say that some news hits the market and that traders interpret this news at different speeds. One trader figures out what the news means in a second, while the other traders require five seconds. Still other traders require an entire day or maybe even a month to figure things out. The early traders earn the extra money. They buy the proper assets early, at the lower prices, and reap most of the gains when the other, later traders pile on. Similarly, if you buy into a successful tech company in the early stages, you are “moving first” in a very effective manner, and you will capture most of the gains if that company hits it big.
  • The moving-first phenomenon sums to a “winner-take-all” market. Only some relatively small number of traders, sometimes just one trader, can be first. Those who are first will make far more than those who are fourth or fifth. This difference will persist, even if those who are fourth come pretty close to competing with those who are first. In this context, first is first and it doesn’t matter much whether those who come in fourth pile on a month, a minute or a fraction of a second later. Those who bought (or sold, as the case may be) first have captured and locked in most of the available gains. Since gains are concentrated among the early winners, and the closeness of the runner-ups doesn’t so much matter for income distribution, asset-market trading thus encourages the ongoing concentration of wealth. Many investors make lots of mistakes and lose their money, but each year brings a new bunch of projects that can turn the early investors and traders into very wealthy individuals.
  • These two features of the problem—“going short on volatility” and “getting there first”—are related. Let’s say that Goldman Sachs regularly secures a lot of the best and quickest trades, whether because of its quality analysis, inside connections or high-frequency trading apparatus (it has all three). It builds up a treasure chest of profits and continues to hire very sharp traders and to receive valuable information. Those profits allow it to make “short on volatility” bets faster than anyone else, because if it messes up, it still has a large enough buffer to pad losses. This increases the odds that Goldman will repeatedly pull in spectacular profits.
  • Still, every now and then Goldman will go bust, or would go bust if not for government bailouts. But the odds are in any given year that it won’t because of the advantages it and other big banks have. It’s as if the major banks have tapped a hole in the social till and they are drinking from it with a straw. In any given year, this practice may seem tolerable—didn’t the bank earn the money fair and square by a series of fairly normal looking trades? Yet over time this situation will corrode productivity, because what the banks do bears almost no resemblance to a process of getting capital into the hands of those who can make most efficient use of it. And it leads to periodic financial explosions. That, in short, is the real problem of income inequality we face today. It’s what causes the inequality at the very top of the earning pyramid that has dangerous implications for the economy as a whole.
  • What about controlling bank risk-taking directly with tight government oversight? That is not practical. There are more ways for banks to take risks than even knowledgeable regulators can possibly control; it just isn’t that easy to oversee a balance sheet with hundreds of billions of dollars on it, especially when short-term positions are wound down before quarterly inspections. It’s also not clear how well regulators can identify risky assets. Some of the worst excesses of the financial crisis were grounded in mortgage-backed assets—a very traditional function of banks—not exotic derivatives trading strategies. Virtually any asset position can be used to bet long odds, one way or another. It is naive to think that underpaid, undertrained regulators can keep up with financial traders, especially when the latter stand to earn billions by circumventing the intent of regulations while remaining within the letter of the law.
  • For the time being, we need to accept the possibility that the financial sector has learned how to game the American (and UK-based) system of state capitalism. It’s no longer obvious that the system is stable at a macro level, and extreme income inequality at the top has been one result of that imbalance. Income inequality is a symptom, however, rather than a cause of the real problem. The root cause of income inequality, viewed in the most general terms, is extreme human ingenuity, albeit of a perverse kind. That is why it is so hard to control.
  • Another root cause of growing inequality is that the modern world, by so limiting our downside risk, makes extreme risk-taking all too comfortable and easy. More risk-taking will mean more inequality, sooner or later, because winners always emerge from risk-taking. Yet bankers who take bad risks (provided those risks are legal) simply do not end up with bad outcomes in any absolute sense. They still have millions in the bank, lots of human capital and plenty of social status. We’re not going to bring back torture, trial by ordeal or debtors’ prisons, nor should we. Yet the threat of impoverishment and disgrace no longer looms the way it once did, so we no longer can constrain excess financial risk-taking. It’s too soft and cushy a world.
  • Why don’t we simply eliminate the safety net for clueless or unlucky risk-takers so that losses equal gains overall? That’s a good idea in principle, but it is hard to put into practice. Once a financial crisis arrives, politicians will seek to limit the damage, and that means they will bail out major financial institutions. Had we not passed TARP and related policies, the United States probably would have faced unemployment rates of 25 percent of higher, as in the Great Depression. The political consequences would not have been pretty. Bank bailouts may sound quite interventionist, and indeed they are, but in relative terms they probably were the most libertarian policy we had on tap. It meant big one-time expenses, but, for the most part, it kept government out of the real economy (the General Motors bailout aside).
  • We probably don’t have any solution to the hazards created by our financial sector, not because plutocrats are preventing our political system from adopting appropriate remedies, but because we don’t know what those remedies are. Yet neither is another crisis immediately upon us. The underlying dynamic favors excess risk-taking, but banks at the current moment fear the scrutiny of regulators and the public and so are playing it fairly safe. They are sitting on money rather than lending it out. The biggest risk today is how few parties will take risks, and, in part, the caution of banks is driving our current protracted economic slowdown. According to this view, the long run will bring another financial crisis once moods pick up and external scrutiny weakens, but that day of reckoning is still some ways off.
  • Is the overall picture a shame? Yes. Is it distorting resource distribution and productivity in the meantime? Yes. Will it again bring our economy to its knees? Probably. Maybe that’s simply the price of modern society. Income inequality will likely continue to rise and we will search in vain for the appropriate political remedies for our underlying problems.
Weiye Loh

How We Know by Freeman Dyson | The New York Review of Books - 0 views

www.nybooks.com/...how-we-know

Information Language Data History Science

shared by Weiye Loh on 27 Feb 11 - No Cached
  • Another example illustrating the central dogma is the French optical telegraph.
  • The telegraph was an optical communication system with stations consisting of large movable pointers mounted on the tops of sixty-foot towers. Each station was manned by an operator who could read a message transmitted by a neighboring station and transmit the same message to the next station in the transmission line.
  • The distance between neighbors was about seven miles. Along the transmission lines, optical messages in France could travel faster than drum messages in Africa. When Napoleon took charge of the French Republic in 1799, he ordered the completion of the optical telegraph system to link all the major cities of France from Calais and Paris to Toulon and onward to Milan. The telegraph became, as Claude Chappe had intended, an important instrument of national power. Napoleon made sure that it was not available to private users.
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  • Unlike the drum language, which was based on spoken language, the optical telegraph was based on written French. Chappe invented an elaborate coding system to translate written messages into optical signals. Chappe had the opposite problem from the drummers. The drummers had a fast transmission system with ambiguous messages. They needed to slow down the transmission to make the messages unambiguous. Chappe had a painfully slow transmission system with redundant messages. The French language, like most alphabetic languages, is highly redundant, using many more letters than are needed to convey the meaning of a message. Chappe’s coding system allowed messages to be transmitted faster. Many common phrases and proper names were encoded by only two optical symbols, with a substantial gain in speed of transmission. The composer and the reader of the message had code books listing the message codes for eight thousand phrases and names. For Napoleon it was an advantage to have a code that was effectively cryptographic, keeping the content of the messages secret from citizens along the route.
  • After these two historical examples of rapid communication in Africa and France, the rest of Gleick’s book is about the modern development of information technolog
  • The modern history is dominated by two Americans, Samuel Morse and Claude Shannon. Samuel Morse was the inventor of Morse Code. He was also one of the pioneers who built a telegraph system using electricity conducted through wires instead of optical pointers deployed on towers. Morse launched his electric telegraph in 1838 and perfected the code in 1844. His code used short and long pulses of electric current to represent letters of the alphabet.
  • Morse was ideologically at the opposite pole from Chappe. He was not interested in secrecy or in creating an instrument of government power. The Morse system was designed to be a profit-making enterprise, fast and cheap and available to everybody. At the beginning the price of a message was a quarter of a cent per letter. The most important users of the system were newspaper correspondents spreading news of local events to readers all over the world. Morse Code was simple enough that anyone could learn it. The system provided no secrecy to the users. If users wanted secrecy, they could invent their own secret codes and encipher their messages themselves. The price of a message in cipher was higher than the price of a message in plain text, because the telegraph operators could transcribe plain text faster. It was much easier to correct errors in plain text than in cipher.
  • Claude Shannon was the founding father of information theory. For a hundred years after the electric telegraph, other communication systems such as the telephone, radio, and television were invented and developed by engineers without any need for higher mathematics. Then Shannon supplied the theory to understand all of these systems together, defining information as an abstract quantity inherent in a telephone message or a television picture. Shannon brought higher mathematics into the game.
  • When Shannon was a boy growing up on a farm in Michigan, he built a homemade telegraph system using Morse Code. Messages were transmitted to friends on neighboring farms, using the barbed wire of their fences to conduct electric signals. When World War II began, Shannon became one of the pioneers of scientific cryptography, working on the high-level cryptographic telephone system that allowed Roosevelt and Churchill to talk to each other over a secure channel. Shannon’s friend Alan Turing was also working as a cryptographer at the same time, in the famous British Enigma project that successfully deciphered German military codes. The two pioneers met frequently when Turing visited New York in 1943, but they belonged to separate secret worlds and could not exchange ideas about cryptography.
  • In 1945 Shannon wrote a paper, “A Mathematical Theory of Cryptography,” which was stamped SECRET and never saw the light of day. He published in 1948 an expurgated version of the 1945 paper with the title “A Mathematical Theory of Communication.” The 1948 version appeared in the Bell System Technical Journal, the house journal of the Bell Telephone Laboratories, and became an instant classic. It is the founding document for the modern science of information. After Shannon, the technology of information raced ahead, with electronic computers, digital cameras, the Internet, and the World Wide Web.
  • According to Gleick, the impact of information on human affairs came in three installments: first the history, the thousands of years during which people created and exchanged information without the concept of measuring it; second the theory, first formulated by Shannon; third the flood, in which we now live
  • The event that made the flood plainly visible occurred in 1965, when Gordon Moore stated Moore’s Law. Moore was an electrical engineer, founder of the Intel Corporation, a company that manufactured components for computers and other electronic gadgets. His law said that the price of electronic components would decrease and their numbers would increase by a factor of two every eighteen months. This implied that the price would decrease and the numbers would increase by a factor of a hundred every decade. Moore’s prediction of continued growth has turned out to be astonishingly accurate during the forty-five years since he announced it. In these four and a half decades, the price has decreased and the numbers have increased by a factor of a billion, nine powers of ten. Nine powers of ten are enough to turn a trickle into a flood.
  • Gordon Moore was in the hardware business, making hardware components for electronic machines, and he stated his law as a law of growth for hardware. But the law applies also to the information that the hardware is designed to embody. The purpose of the hardware is to store and process information. The storage of information is called memory, and the processing of information is called computing. The consequence of Moore’s Law for information is that the price of memory and computing decreases and the available amount of memory and computing increases by a factor of a hundred every decade. The flood of hardware becomes a flood of information.
  • In 1949, one year after Shannon published the rules of information theory, he drew up a table of the various stores of memory that then existed. The biggest memory in his table was the US Library of Congress, which he estimated to contain one hundred trillion bits of information. That was at the time a fair guess at the sum total of recorded human knowledge. Today a memory disc drive storing that amount of information weighs a few pounds and can be bought for about a thousand dollars. Information, otherwise known as data, pours into memories of that size or larger, in government and business offices and scientific laboratories all over the world. Gleick quotes the computer scientist Jaron Lanier describing the effect of the flood: “It’s as if you kneel to plant the seed of a tree and it grows so fast that it swallows your whole town before you can even rise to your feet.”
  • On December 8, 2010, Gleick published on the The New York Review’s blog an illuminating essay, “The Information Palace.” It was written too late to be included in his book. It describes the historical changes of meaning of the word “information,” as recorded in the latest quarterly online revision of the Oxford English Dictionary. The word first appears in 1386 a parliamentary report with the meaning “denunciation.” The history ends with the modern usage, “information fatigue,” defined as “apathy, indifference or mental exhaustion arising from exposure to too much information.”
  • The consequences of the information flood are not all bad. One of the creative enterprises made possible by the flood is Wikipedia, started ten years ago by Jimmy Wales. Among my friends and acquaintances, everybody distrusts Wikipedia and everybody uses it. Distrust and productive use are not incompatible. Wikipedia is the ultimate open source repository of information. Everyone is free to read it and everyone is free to write it. It contains articles in 262 languages written by several million authors. The information that it contains is totally unreliable and surprisingly accurate. It is often unreliable because many of the authors are ignorant or careless. It is often accurate because the articles are edited and corrected by readers who are better informed than the authors
  • Jimmy Wales hoped when he started Wikipedia that the combination of enthusiastic volunteer writers with open source information technology would cause a revolution in human access to knowledge. The rate of growth of Wikipedia exceeded his wildest dreams. Within ten years it has become the biggest storehouse of information on the planet and the noisiest battleground of conflicting opinions. It illustrates Shannon’s law of reliable communication. Shannon’s law says that accurate transmission of information is possible in a communication system with a high level of noise. Even in the noisiest system, errors can be reliably corrected and accurate information transmitted, provided that the transmission is sufficiently redundant. That is, in a nutshell, how Wikipedia works.
  • The information flood has also brought enormous benefits to science. The public has a distorted view of science, because children are taught in school that science is a collection of firmly established truths. In fact, science is not a collection of truths. It is a continuing exploration of mysteries. Wherever we go exploring in the world around us, we find mysteries. Our planet is covered by continents and oceans whose origin we cannot explain. Our atmosphere is constantly stirred by poorly understood disturbances that we call weather and climate. The visible matter in the universe is outweighed by a much larger quantity of dark invisible matter that we do not understand at all. The origin of life is a total mystery, and so is the existence of human consciousness. We have no clear idea how the electrical discharges occurring in nerve cells in our brains are connected with our feelings and desires and actions.
  • Even physics, the most exact and most firmly established branch of science, is still full of mysteries. We do not know how much of Shannon’s theory of information will remain valid when quantum devices replace classical electric circuits as the carriers of information. Quantum devices may be made of single atoms or microscopic magnetic circuits. All that we know for sure is that they can theoretically do certain jobs that are beyond the reach of classical devices. Quantum computing is still an unexplored mystery on the frontier of information theory. Science is the sum total of a great multitude of mysteries. It is an unending argument between a great multitude of voices. It resembles Wikipedia much more than it resembles the Encyclopaedia Britannica.
  • The rapid growth of the flood of information in the last ten years made Wikipedia possible, and the same flood made twenty-first-century science possible. Twenty-first-century science is dominated by huge stores of information that we call databases. The information flood has made it easy and cheap to build databases. One example of a twenty-first-century database is the collection of genome sequences of living creatures belonging to various species from microbes to humans. Each genome contains the complete genetic information that shaped the creature to which it belongs. The genome data-base is rapidly growing and is available for scientists all over the world to explore. Its origin can be traced to the year 1939, when Shannon wrote his Ph.D. thesis with the title “An Algebra for Theoretical Genetics.
  • Shannon was then a graduate student in the mathematics department at MIT. He was only dimly aware of the possible physical embodiment of genetic information. The true physical embodiment of the genome is the double helix structure of DNA molecules, discovered by Francis Crick and James Watson fourteen years later. In 1939 Shannon understood that the basis of genetics must be information, and that the information must be coded in some abstract algebra independent of its physical embodiment. Without any knowledge of the double helix, he could not hope to guess the detailed structure of the genetic code. He could only imagine that in some distant future the genetic information would be decoded and collected in a giant database that would define the total diversity of living creatures. It took only sixty years for his dream to come true.
  • In the twentieth century, genomes of humans and other species were laboriously decoded and translated into sequences of letters in computer memories. The decoding and translation became cheaper and faster as time went on, the price decreasing and the speed increasing according to Moore’s Law. The first human genome took fifteen years to decode and cost about a billion dollars. Now a human genome can be decoded in a few weeks and costs a few thousand dollars. Around the year 2000, a turning point was reached, when it became cheaper to produce genetic information than to understand it. Now we can pass a piece of human DNA through a machine and rapidly read out the genetic information, but we cannot read out the meaning of the information. We shall not fully understand the information until we understand in detail the processes of embryonic development that the DNA orchestrated to make us what we are.
  • The explosive growth of information in our human society is a part of the slower growth of ordered structures in the evolution of life as a whole. Life has for billions of years been evolving with organisms and ecosystems embodying increasing amounts of information. The evolution of life is a part of the evolution of the universe, which also evolves with increasing amounts of information embodied in ordered structures, galaxies and stars and planetary systems. In the living and in the nonliving world, we see a growth of order, starting from the featureless and uniform gas of the early universe and producing the magnificent diversity of weird objects that we see in the sky and in the rain forest. Everywhere around us, wherever we look, we see evidence of increasing order and increasing information. The technology arising from Shannon’s discoveries is only a local acceleration of the natural growth of information.
  • . Lord Kelvin, one of the leading physicists of that time, promoted the heat death dogma, predicting that the flow of heat from warmer to cooler objects will result in a decrease of temperature differences everywhere, until all temperatures ultimately become equal. Life needs temperature differences, to avoid being stifled by its waste heat. So life will disappear
  • Thanks to the discoveries of astronomers in the twentieth century, we now know that the heat death is a myth. The heat death can never happen, and there is no paradox. The best popular account of the disappearance of the paradox is a chapter, “How Order Was Born of Chaos,” in the book Creation of the Universe, by Fang Lizhi and his wife Li Shuxian.2 Fang Lizhi is doubly famous as a leading Chinese astronomer and a leading political dissident. He is now pursuing his double career at the University of Arizona.
  • The belief in a heat death was based on an idea that I call the cooking rule. The cooking rule says that a piece of steak gets warmer when we put it on a hot grill. More generally, the rule says that any object gets warmer when it gains energy, and gets cooler when it loses energy. Humans have been cooking steaks for thousands of years, and nobody ever saw a steak get colder while cooking on a fire. The cooking rule is true for objects small enough for us to handle. If the cooking rule is always true, then Lord Kelvin’s argument for the heat death is correct.
  • the cooking rule is not true for objects of astronomical size, for which gravitation is the dominant form of energy. The sun is a familiar example. As the sun loses energy by radiation, it becomes hotter and not cooler. Since the sun is made of compressible gas squeezed by its own gravitation, loss of energy causes it to become smaller and denser, and the compression causes it to become hotter. For almost all astronomical objects, gravitation dominates, and they have the same unexpected behavior. Gravitation reverses the usual relation between energy and temperature. In the domain of astronomy, when heat flows from hotter to cooler objects, the hot objects get hotter and the cool objects get cooler. As a result, temperature differences in the astronomical universe tend to increase rather than decrease as time goes on. There is no final state of uniform temperature, and there is no heat death. Gravitation gives us a universe hospitable to life. Information and order can continue to grow for billions of years in the future, as they have evidently grown in the past.
  • The vision of the future as an infinite playground, with an unending sequence of mysteries to be understood by an unending sequence of players exploring an unending supply of information, is a glorious vision for scientists. Scientists find the vision attractive, since it gives them a purpose for their existence and an unending supply of jobs. The vision is less attractive to artists and writers and ordinary people. Ordinary people are more interested in friends and family than in science. Ordinary people may not welcome a future spent swimming in an unending flood of information.
  • A darker view of the information-dominated universe was described in a famous story, “The Library of Babel,” by Jorge Luis Borges in 1941.3 Borges imagined his library, with an infinite array of books and shelves and mirrors, as a metaphor for the universe.
  • Gleick’s book has an epilogue entitled “The Return of Meaning,” expressing the concerns of people who feel alienated from the prevailing scientific culture. The enormous success of information theory came from Shannon’s decision to separate information from meaning. His central dogma, “Meaning is irrelevant,” declared that information could be handled with greater freedom if it was treated as a mathematical abstraction independent of meaning. The consequence of this freedom is the flood of information in which we are drowning. The immense size of modern databases gives us a feeling of meaninglessness. Information in such quantities reminds us of Borges’s library extending infinitely in all directions. It is our task as humans to bring meaning back into this wasteland. As finite creatures who think and feel, we can create islands of meaning in the sea of information. Gleick ends his book with Borges’s image of the human condition:We walk the corridors, searching the shelves and rearranging them, looking for lines of meaning amid leagues of cacophony and incoherence, reading the history of the past and of the future, collecting our thoughts and collecting the thoughts of others, and every so often glimpsing mirrors, in which we may recognize creatures of the information.
Weiye Loh

Edge: HOW DOES OUR LANGUAGE SHAPE THE WAY WE THINK? By Lera Boroditsky - 0 views

www.edge.org/...boroditsky09_index.html

Language Sapir-Whorf Thesis Social Construction

shared by Weiye Loh on 22 Apr 11 - Cached
  • Do the languages we speak shape the way we see the world, the way we think, and the way we live our lives? Do people who speak different languages think differently simply because they speak different languages? Does learning new languages change the way you think? Do polyglots think differently when speaking different languages?
  • For a long time, the idea that language might shape thought was considered at best untestable and more often simply wrong. Research in my labs at Stanford University and at MIT has helped reopen this question. We have collected data around the world: from China, Greece, Chile, Indonesia, Russia, and Aboriginal Australia.
  • What we have learned is that people who speak different languages do indeed think differently and that even flukes of grammar can profoundly affect how we see the world.
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  • Suppose you want to say, "Bush read Chomsky's latest book." Let's focus on just the verb, "read." To say this sentence in English, we have to mark the verb for tense; in this case, we have to pronounce it like "red" and not like "reed." In Indonesian you need not (in fact, you can't) alter the verb to mark tense. In Russian you would have to alter the verb to indicate tense and gender. So if it was Laura Bush who did the reading, you'd use a different form of the verb than if it was George. In Russian you'd also have to include in the verb information about completion. If George read only part of the book, you'd use a different form of the verb than if he'd diligently plowed through the whole thing. In Turkish you'd have to include in the verb how you acquired this information: if you had witnessed this unlikely event with your own two eyes, you'd use one verb form, but if you had simply read or heard about it, or inferred it from something Bush said, you'd use a different verb form.
  • Clearly, languages require different things of their speakers. Does this mean that the speakers think differently about the world? Do English, Indonesian, Russian, and Turkish speakers end up attending to, partitioning, and remembering their experiences differently just because they speak different languages?
  • For some scholars, the answer to these questions has been an obvious yes. Just look at the way people talk, they might say. Certainly, speakers of different languages must attend to and encode strikingly different aspects of the world just so they can use their language properly. Scholars on the other side of the debate don't find the differences in how people talk convincing. All our linguistic utterances are sparse, encoding only a small part of the information we have available. Just because English speakers don't include the same information in their verbs that Russian and Turkish speakers do doesn't mean that English speakers aren't paying attention to the same things; all it means is that they're not talking about them. It's possible that everyone thinks the same way, notices the same things, but just talks differently.
  • Believers in cross-linguistic differences counter that everyone does not pay attention to the same things: if everyone did, one might think it would be easy to learn to speak other languages. Unfortunately, learning a new language (especially one not closely related to those you know) is never easy; it seems to require paying attention to a new set of distinctions. Whether it's distinguishing modes of being in Spanish, evidentiality in Turkish, or aspect in Russian, learning to speak these languages requires something more than just learning vocabulary: it requires paying attention to the right things in the world so that you have the correct information to include in what you say.
  • Follow me to Pormpuraaw, a small Aboriginal community on the western edge of Cape York, in northern Australia. I came here because of the way the locals, the Kuuk Thaayorre, talk about space. Instead of words like "right," "left," "forward," and "back," which, as commonly used in English, define space relative to an observer, the Kuuk Thaayorre, like many other Aboriginal groups, use cardinal-direction terms — north, south, east, and west — to define space.1 This is done at all scales, which means you have to say things like "There's an ant on your southeast leg" or "Move the cup to the north northwest a little bit." One obvious consequence of speaking such a language is that you have to stay oriented at all times, or else you cannot speak properly. The normal greeting in Kuuk Thaayorre is "Where are you going?" and the answer should be something like " Southsoutheast, in the middle distance." If you don't know which way you're facing, you can't even get past "Hello."
  • The result is a profound difference in navigational ability and spatial knowledge between speakers of languages that rely primarily on absolute reference frames (like Kuuk Thaayorre) and languages that rely on relative reference frames (like English).2 Simply put, speakers of languages like Kuuk Thaayorre are much better than English speakers at staying oriented and keeping track of where they are, even in unfamiliar landscapes or inside unfamiliar buildings. What enables them — in fact, forces them — to do this is their language. Having their attention trained in this way equips them to perform navigational feats once thought beyond human capabilities. Because space is such a fundamental domain of thought, differences in how people think about space don't end there. People rely on their spatial knowledge to build other, more complex, more abstract representations. Representations of such things as time, number, musical pitch, kinship relations, morality, and emotions have been shown to depend on how we think about space. So if the Kuuk Thaayorre think differently about space, do they also think differently about other things, like time? This is what my collaborator Alice Gaby and I came to Pormpuraaw to find out.
  • To test this idea, we gave people sets of pictures that showed some kind of temporal progression (e.g., pictures of a man aging, or a crocodile growing, or a banana being eaten). Their job was to arrange the shuffled photos on the ground to show the correct temporal order. We tested each person in two separate sittings, each time facing in a different cardinal direction. If you ask English speakers to do this, they'll arrange the cards so that time proceeds from left to right. Hebrew speakers will tend to lay out the cards from right to left, showing that writing direction in a language plays a role.3 So what about folks like the Kuuk Thaayorre, who don't use words like "left" and "right"? What will they do? The Kuuk Thaayorre did not arrange the cards more often from left to right than from right to left, nor more toward or away from the body. But their arrangements were not random: there was a pattern, just a different one from that of English speakers. Instead of arranging time from left to right, they arranged it from east to west. That is, when they were seated facing south, the cards went left to right. When they faced north, the cards went from right to left. When they faced east, the cards came toward the body and so on. This was true even though we never told any of our subjects which direction they faced. The Kuuk Thaayorre not only knew that already (usually much better than I did), but they also spontaneously used this spatial orientation to construct their representations of time.
  • I have described how languages shape the way we think about space, time, colors, and objects. Other studies have found effects of language on how people construe events, reason about causality, keep track of number, understand material substance, perceive and experience emotion, reason about other people's minds, choose to take risks, and even in the way they choose professions and spouses.8 Taken together, these results show that linguistic processes are pervasive in most fundamental domains of thought, unconsciously shaping us from the nuts and bolts of cognition and perception to our loftiest abstract notions and major life decisions. Language is central to our experience of being human, and the languages we speak profoundly shape the way we think, the way we see the world, the way we live our lives.
  • The fact that even quirks of grammar, such as grammatical gender, can affect our thinking is profound. Such quirks are pervasive in language; gender, for example, applies to all nouns, which means that it is affecting how people think about anything that can be designated by a noun.
  • How does an artist decide whether death, say, or time should be painted as a man or a woman? It turns out that in 85 percent of such personifications, whether a male or female figure is chosen is predicted by the grammatical gender of the word in the artist's native language. So, for example, German painters are more likely to paint death as a man, whereas Russian painters are more likely to paint death as a woman.
  • Does treating chairs as masculine and beds as feminine in the grammar make Russian speakers think of chairs as being more like men and beds as more like women in some way? It turns out that it does. In one study, we asked German and Spanish speakers to describe objects having opposite gender assignment in those two languages. The descriptions they gave differed in a way predicted by grammatical gender. For example, when asked to describe a "key" — a word that is masculine in German and feminine in Spanish — the German speakers were more likely to use words like "hard," "heavy," "jagged," "metal," "serrated," and "useful," whereas Spanish speakers were more likely to say "golden," "intricate," "little," "lovely," "shiny," and "tiny." To describe a "bridge," which is feminine in German and masculine in Spanish, the German speakers said "beautiful," "elegant," "fragile," "peaceful," "pretty," and "slender," and the Spanish speakers said "big," "dangerous," "long," "strong," "sturdy," and "towering." This was true even though all testing was done in English, a language without grammatical gender. The same pattern of results also emerged in entirely nonlinguistic tasks (e.g., rating similarity between pictures). And we can also show that it is aspects of language per se that shape how people think: teaching English speakers new grammatical gender systems influences mental representations of objects in the same way it does with German and Spanish speakers. Apparently even small flukes of grammar, like the seemingly arbitrary assignment of gender to a noun, can have an effect on people's ideas of concrete objects in the world.
  • Even basic aspects of time perception can be affected by language. For example, English speakers prefer to talk about duration in terms of length (e.g., "That was a short talk," "The meeting didn't take long"), while Spanish and Greek speakers prefer to talk about time in terms of amount, relying more on words like "much" "big", and "little" rather than "short" and "long" Our research into such basic cognitive abilities as estimating duration shows that speakers of different languages differ in ways predicted by the patterns of metaphors in their language. (For example, when asked to estimate duration, English speakers are more likely to be confused by distance information, estimating that a line of greater length remains on the test screen for a longer period of time, whereas Greek speakers are more likely to be confused by amount, estimating that a container that is fuller remains longer on the screen.)
  • An important question at this point is: Are these differences caused by language per se or by some other aspect of culture? Of course, the lives of English, Mandarin, Greek, Spanish, and Kuuk Thaayorre speakers differ in a myriad of ways. How do we know that it is language itself that creates these differences in thought and not some other aspect of their respective cultures? One way to answer this question is to teach people new ways of talking and see if that changes the way they think. In our lab, we've taught English speakers different ways of talking about time. In one such study, English speakers were taught to use size metaphors (as in Greek) to describe duration (e.g., a movie is larger than a sneeze), or vertical metaphors (as in Mandarin) to describe event order. Once the English speakers had learned to talk about time in these new ways, their cognitive performance began to resemble that of Greek or Mandarin speakers. This suggests that patterns in a language can indeed play a causal role in constructing how we think.6 In practical terms, it means that when you're learning a new language, you're not simply learning a new way of talking, you are also inadvertently learning a new way of thinking. Beyond abstract or complex domains of thought like space and time, languages also meddle in basic aspects of visual perception — our ability to distinguish colors, for example. Different languages divide up the color continuum differently: some make many more distinctions between colors than others, and the boundaries often don't line up across languages.
  • To test whether differences in color language lead to differences in color perception, we compared Russian and English speakers' ability to discriminate shades of blue. In Russian there is no single word that covers all the colors that English speakers call "blue." Russian makes an obligatory distinction between light blue (goluboy) and dark blue (siniy). Does this distinction mean that siniy blues look more different from goluboy blues to Russian speakers? Indeed, the data say yes. Russian speakers are quicker to distinguish two shades of blue that are called by the different names in Russian (i.e., one being siniy and the other being goluboy) than if the two fall into the same category. For English speakers, all these shades are still designated by the same word, "blue," and there are no comparable differences in reaction time. Further, the Russian advantage disappears when subjects are asked to perform a verbal interference task (reciting a string of digits) while making color judgments but not when they're asked to perform an equally difficult spatial interference task (keeping a novel visual pattern in memory). The disappearance of the advantage when performing a verbal task shows that language is normally involved in even surprisingly basic perceptual judgments — and that it is language per se that creates this difference in perception between Russian and English speakers.
  • What it means for a language to have grammatical gender is that words belonging to different genders get treated differently grammatically and words belonging to the same grammatical gender get treated the same grammatically. Languages can require speakers to change pronouns, adjective and verb endings, possessives, numerals, and so on, depending on the noun's gender. For example, to say something like "my chair was old" in Russian (moy stul bil' stariy), you'd need to make every word in the sentence agree in gender with "chair" (stul), which is masculine in Russian. So you'd use the masculine form of "my," "was," and "old." These are the same forms you'd use in speaking of a biological male, as in "my grandfather was old." If, instead of speaking of a chair, you were speaking of a bed (krovat'), which is feminine in Russian, or about your grandmother, you would use the feminine form of "my," "was," and "old."
  • Weiye Loh on 22 Apr 11
     
    For a long time, the idea that language might shape thought was considered at best untestable and more often simply wrong. Research in my labs at Stanford University and at MIT has helped reopen this question. We have collected data around the world: from China, Greece, Chile, Indonesia, Russia, and Aboriginal Australia. What we have learned is that people who speak different languages do indeed think differently and that even flukes of grammar can profoundly affect how we see the world. Language is a uniquely human gift, central to our experience of being human. Appreciating its role in constructing our mental lives brings us one step closer to understanding the very nature of humanity.
Weiye Loh

'There Is No Values-Free Form Of Education,' Says U.S. Philosopher - Radio Fr... - 0 views

www.rferl.org/...2315794.html

Education Value Democracy Humanities

shared by Weiye Loh on 26 Feb 11 - No Cached
  • from the earliest years, education should be based primarily on exploration, understanding in depth, and the development of logical, critical thinking. Such an emphasis, she says, not only produces a citizenry capable of recognizing and rooting out political jingoism and intolerance. It also produces people capable of questioning authority and perceived wisdom in ways that enhance innovation and economic competitiveness. Nussbaum warns against a narrow educational focus on technical competence.
  • a successful, long-term democracy depends on a citizenry with certain qualities that can be fostered by education.
  • The first is the capacity we associate in the Western tradition with Socrates, but it certainly appears in all traditions -- that is, the ability to think critically about proposals that are brought your way, to analyze an argument, to distinguish a good argument from a bad argument. And just in general, to lead what Socrates called “the examined life.” Now that’s, of course, important because we know that people are very prone to go along with authority, with fashion, with peer pressure. And this kind of critical enlivened citizenry is the only thing that can keep democracy vital.
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  • it can be trained from very early in a child’s education. There’re ways that you can get quite young children to recognize what’s a good argument and what’s a bad argument. And as children grow older, it can be done in a more and more sophisticated form until by the time they’re undergraduates in universities they would be studying Plato’s dialogues for example and really looking at those tricky arguments and trying to figure out how to think. And this is important not just for the individual thinking about society, but it’s important for the way people talk to each other. In all too many public discussions people just throw out slogans and they throw out insults. And what democracy needs is listening. And respect. And so when people learn how to analyze an argument, then they look at what the other person’s saying differently. And they try to take it apart, and they think: “Well, do I share some of those views and where do I differ here?” and so on. And this really does produce a much more deliberative, respectful style of public interaction.
  • The second [quality] is what I call “the ability to think as a citizen of the whole world.” We’re all narrow and this is again something that we get from our animal heritage. Most non-human animals just think about the group. But, of course, in this world we need to think, first of all, our whole nation -- its many different groups, minority and majority. And then we need to think outside the nation, about how problems involving, let’s say, the environment or global economy and so on need cooperative resolution that brings together people from many different nations.
  • That’s complicated and it requires learning a lot of history, and it means learning not just to parrot some facts about history but to think critically about how to assess historical evidence. It means learning how to think about the global economy. And then I think particularly important in this era, it means learning something about the major world religions. Learning complicated, nonstereotypical accounts of those religions because there’s so much fear that’s circulating around in every country that’s based usually on just inadequate stereotypes of what Muslims are or whatever. So knowledge can at least begin to address that.
  • the third thing, which I think goes very closely with the other two, is what I call “the narrative imagination,” which is the ability to put yourself in the shoes of another person to have some understanding of how the world looks from that point of view. And to really have that kind of educated sympathy with the lives of others. Now again this is something we come into the world with. Psychologists have now found that babies less than a year old are able to take up the perspective of another person and do things, see things from that perspective. But it’s very narrow and usually people learn how to think about what their parents are thinking and maybe other family members but we need to extend that and develop it, and learn how the world looks from the point of view of minorities in our own culture, people outside our culture, and so on.
  • since we can’t go to all the places that we need to understand -- it’s accomplished by reading narratives, reading literature, drama, participating through the arts in the thought processes of another culture. So literature and the arts are the major ways we would develop and extend that capacity.
  • For many years, the leading model of development ... used by economists and international agencies measuring welfare was simply that for a country to develop means to increase [its] gross domestic product per capita. Now, in recent years, there has been a backlash to that because people feel that it just doesn’t ask enough about what goods are really doing for people, what can people really do and be.
  • so since 1990s the United Nations’ development program has produced annually what’s called a “Human Development Report” that looks at things like access to education, access to health care. In other words, a much richer menu of human chances and opportunities that people have. And at the theoretical end I’ve worked for about 20 years now with economist Amartya Sen, who won the Nobel Prize in 1998 for economics. And we’ve developed this as account of -- so for us what it is for a country to do better is to enhance the set of capabilities meaning substantial opportunities that people have to lead meaningful, fruitful lives. And then I go on to focus on a certain core group of those capabilities that I think ought to be protected by constitutional law in every country.
  • Life; health; bodily integrity; the development of senses, imagination, and thought; the development of practical reason; opportunities to have meaningful affiliations both friendly and political with other people; the ability to have emotional health -- not to be in other words dominated by overwhelming fear and so on; the ability to have a productive relationship with the environment and the world of nature; the ability to play and have leisure time, which is something that I think people don’t think enough about; and then, finally, control over one’s material and social environment, some measure of control. Now of course, each of these is very abstract, and I specify them further. Although I also think that each country needs to finally specify them with its own particular circumstances in view.
  • when kids learn in a classroom that just makes them sit in a chair, well, they can take in something in their heads, but it doesn’t make them competent at negotiating in the world. And so starting, at least, with Jean Jacques Rousseau in the 18th century, people thought: “Well, if we really want people to be independent citizens in a democracy that means that we can’t have whole classes of people who don’t know how to do anything, who are just simply sitting there waiting to be waited on in practical matters.” And so the idea that children should participate in their practical environment came out of the initial democratizing tendencies that went running through the 18th century.
  • even countries who absolutely do not want that kind of engaged citizenry see that for the success of business these abilities are pretty important. Both Singapore and China have conducted mass education reforms over the last five years because they realized that their business cultures don’t have enough imagination and they also don’t have enough critical thinking, because you can have awfully corrupt business culture if no one is willing to say the unpleasant word or make a criticism.
  • So they have striven to introduce more critical thinking and more imagination into their curricula. But, of course, for them, they want to cordon it off -- they want to do it in the science classroom, in the business classroom, but not in the politics classroom. Well, we’ll see -- can they do that? Can they segment it that way? I think democratic thinking is awfully hard to segment as current events in the Middle East are showing us. It does have the tendency to spread.
  • so maybe the people in Singapore and China will not like the end result of what they tried to do or maybe the reform will just fail, which is equally likely -- I mean the educational reform.
  • if you really don’t want democracy, this is not the education for you. It had its origins in the ancient Athenian democracy which was a very, very strong participatory democracy and it is most at home in really true democracy, where our whole goal is to get each and every person involved and to get them thinking about things. So, of course, if politicians have ambivalence about that goal they may well not want this kind of education.
  • when we bring up children in the family or in the school, we are always engineering. I mean, there is no values-free form of education in the world. Even an education that just teaches you a list of facts has values built into it. Namely, it gives a negative value to imagination and to the critical faculties and a very high value to a kind of rote, technical competence. So, you can't avoid shaping children.
  • ncreasingly the child should be in control and should become free. And that's what the critical thinking is all about -- it's about promoting freedom as the child goes on. So, the end product should be an adult who is really thinking for him- or herself about the direction of society. But you don't get freedom just by saying, "Oh, you are free." Progressive educators that simply stopped teaching found out very quickly that that didn't produce freedom. Even some of the very extreme forms of progressive school where children were just allowed to say every day what it was they wanted to learn, they found that didn't give the child the kind of mastery of self and of the world that you really need to be a free person.
Weiye Loh

McKinsey & Company - Clouds, big data, and smart assets: Ten tech-enabled business tren... - 0 views

www.mckinsey.com/...ten_of_the_best.asp

Cloud Computing Crowd-Sourcing Data

shared by Weiye Loh on 20 Mar 11 - No Cached
  • 1. Distributed cocreation moves into the mainstreamIn the past few years, the ability to organise communities of Web participants to develop, market, and support products and services has moved from the margins of business practice to the mainstream. Wikipedia and a handful of open-source software developers were the pioneers. But in signs of the steady march forward, 70 per cent of the executives we recently surveyed said that their companies regularly created value through Web communities. Similarly, more than 68m bloggers post reviews and recommendations about products and services.
  • for every success in tapping communities to create value, there are still many failures. Some companies neglect the up-front research needed to identify potential participants who have the right skill sets and will be motivated to participate over the longer term. Since cocreation is a two-way process, companies must also provide feedback to stimulate continuing participation and commitment. Getting incentives right is important as well: cocreators often value reputation more than money. Finally, an organisation must gain a high level of trust within a Web community to earn the engagement of top participants.
  • 2. Making the network the organisation In earlier research, we noted that the Web was starting to force open the boundaries of organisations, allowing nonemployees to offer their expertise in novel ways. We called this phenomenon "tapping into a world of talent." Now many companies are pushing substantially beyond that starting point, building and managing flexible networks that extend across internal and often even external borders. The recession underscored the value of such flexibility in managing volatility. We believe that the more porous, networked organisations of the future will need to organise work around critical tasks rather than molding it to constraints imposed by corporate structures.
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  • 3. Collaboration at scale Across many economies, the number of people who undertake knowledge work has grown much more quickly than the number of production or transactions workers. Knowledge workers typically are paid more than others, so increasing their productivity is critical. As a result, there is broad interest in collaboration technologies that promise to improve these workers' efficiency and effectiveness. While the body of knowledge around the best use of such technologies is still developing, a number of companies have conducted experiments, as we see in the rapid growth rates of video and Web conferencing, expected to top 20 per cent annually during the next few years.
  • 4. The growing ‘Internet of Things' The adoption of RFID (radio-frequency identification) and related technologies was the basis of a trend we first recognised as "expanding the frontiers of automation." But these methods are rudimentary compared with what emerges when assets themselves become elements of an information system, with the ability to capture, compute, communicate, and collaborate around information—something that has come to be known as the "Internet of Things." Embedded with sensors, actuators, and communications capabilities, such objects will soon be able to absorb and transmit information on a massive scale and, in some cases, to adapt and react to changes in the environment automatically. These "smart" assets can make processes more efficient, give products new capabilities, and spark novel business models. Auto insurers in Europe and the United States are testing these waters with offers to install sensors in customers' vehicles. The result is new pricing models that base charges for risk on driving behavior rather than on a driver's demographic characteristics. Luxury-auto manufacturers are equipping vehicles with networked sensors that can automatically take evasive action when accidents are about to happen. In medicine, sensors embedded in or worn by patients continuously report changes in health conditions to physicians, who can adjust treatments when necessary. Sensors in manufacturing lines for products as diverse as computer chips and pulp and paper take detailed readings on process conditions and automatically make adjustments to reduce waste, downtime, and costly human interventions.
  • 5. Experimentation and big data Could the enterprise become a full-time laboratory? What if you could analyse every transaction, capture insights from every customer interaction, and didn't have to wait for months to get data from the field? What if…? Data are flooding in at rates never seen before—doubling every 18 months—as a result of greater access to customer data from public, proprietary, and purchased sources, as well as new information gathered from Web communities and newly deployed smart assets. These trends are broadly known as "big data." Technology for capturing and analysing information is widely available at ever-lower price points. But many companies are taking data use to new levels, using IT to support rigorous, constant business experimentation that guides decisions and to test new products, business models, and innovations in customer experience. In some cases, the new approaches help companies make decisions in real time. This trend has the potential to drive a radical transformation in research, innovation, and marketing.
  • Using experimentation and big data as essential components of management decision making requires new capabilities, as well as organisational and cultural change. Most companies are far from accessing all the available data. Some haven't even mastered the technologies needed to capture and analyse the valuable information they can access. More commonly, they don't have the right talent and processes to design experiments and extract business value from big data, which require changes in the way many executives now make decisions: trusting instincts and experience over experimentation and rigorous analysis. To get managers at all echelons to accept the value of experimentation, senior leaders must buy into a "test and learn" mind-set and then serve as role models for their teams.
  • 6. Wiring for a sustainable world Even as regulatory frameworks continue to evolve, environmental stewardship and sustainability clearly are C-level agenda topics. What's more, sustainability is fast becoming an important corporate-performance metric—one that stakeholders, outside influencers, and even financial markets have begun to track. Information technology plays a dual role in this debate: it is both a significant source of environmental emissions and a key enabler of many strategies to mitigate environmental damage. At present, information technology's share of the world's environmental footprint is growing because of the ever-increasing demand for IT capacity and services. Electricity produced to power the world's data centers generates greenhouse gases on the scale of countries such as Argentina or the Netherlands, and these emissions could increase fourfold by 2020. McKinsey research has shown, however, that the use of IT in areas such as smart power grids, efficient buildings, and better logistics planning could eliminate five times the carbon emissions that the IT industry produces.
  • 7. Imagining anything as a service Technology now enables companies to monitor, measure, customise, and bill for asset use at a much more fine-grained level than ever before. Asset owners can therefore create services around what have traditionally been sold as products. Business-to-business (B2B) customers like these service offerings because they allow companies to purchase units of a service and to account for them as a variable cost rather than undertake large capital investments. Consumers also like this "paying only for what you use" model, which helps them avoid large expenditures, as well as the hassles of buying and maintaining a product.
  • In the IT industry, the growth of "cloud computing" (accessing computer resources provided through networks rather than running software or storing data on a local computer) exemplifies this shift. Consumer acceptance of Web-based cloud services for everything from e-mail to video is of course becoming universal, and companies are following suit. Software as a service (SaaS), which enables organisations to access services such as customer relationship management, is growing at a 17 per cent annual rate. The biotechnology company Genentech, for example, uses Google Apps for e-mail and to create documents and spreadsheets, bypassing capital investments in servers and software licenses. This development has created a wave of computing capabilities delivered as a service, including infrastructure, platform, applications, and content. And vendors are competing, with innovation and new business models, to match the needs of different customers.
  • 8. The age of the multisided business model Multisided business models create value through interactions among multiple players rather than traditional one-on-one transactions or information exchanges. In the media industry, advertising is a classic example of how these models work. Newspapers, magasines, and television stations offer content to their audiences while generating a significant portion of their revenues from third parties: advertisers. Other revenue, often through subscriptions, comes directly from consumers. More recently, this advertising-supported model has proliferated on the Internet, underwriting Web content sites, as well as services such as search and e-mail (see trend number seven, "Imagining anything as a service," earlier in this article). It is now spreading to new markets, such as enterprise software: Spiceworks offers IT-management applications to 950,000 users at no cost, while it collects advertising from B2B companies that want access to IT professionals.
  • 9. Innovating from the bottom of the pyramid The adoption of technology is a global phenomenon, and the intensity of its usage is particularly impressive in emerging markets. Our research has shown that disruptive business models arise when technology combines with extreme market conditions, such as customer demand for very low price points, poor infrastructure, hard-to-access suppliers, and low cost curves for talent. With an economic recovery beginning to take hold in some parts of the world, high rates of growth have resumed in many developing nations, and we're seeing companies built around the new models emerging as global players. Many multinationals, meanwhile, are only starting to think about developing markets as wellsprings of technology-enabled innovation rather than as traditional manufacturing hubs.
  • 10. Producing public good on the grid The role of governments in shaping global economic policy will expand in coming years. Technology will be an important factor in this evolution by facilitating the creation of new types of public goods while helping to manage them more effectively. This last trend is broad in scope and draws upon many of the other trends described above.
Weiye Loh

BioCentre - 0 views

www.bioethics.ac.uk/...reject-radical-enhancement.php

Human Technology Transhumanism Bioethics

shared by Weiye Loh on 14 Apr 11 - No Cached
  • Humanity’s End. The main premise of the book is that proposals that would supposedly promise to make us smarter like never before or add thousands of years to our live seem rather far fetched and the domain of mere fantasy. However, it is these very proposals which form the basis of many of the ideas and thoughts presented by advocates of radical enhancement and which are beginning to move from the sidelines to the centre of main stream discussion. A variety of technologies and therapies are being presented to us as options to expand our capabilities and capacities in order for us to become something other than human.
  • Agar takes issue with this and argues against radical human enhancement. He structures his analysis and discussion by focusing on four key figures and their proposals which help to form the core of the case for radical enhancement debate.  First to be examined by Agar is Ray Kurzweil who argues that Man and Machine will become one as technology allows us to transcend our biology. Second, is Aubrey de Grey who is a passionate advocate and pioneer of anti-ageing therapies which allow us to achieve “longevity escape velocity”. Next is Nick Bostrom, a leading transhumanist who defends the morality and rationality of enhancement and finally James Hughes who is a keen advocate of a harmonious democracy of the enhanced and un-enhanced.
  • He avoids falling into any of the pitfalls of basing his argument solely upon the “playing God” question but instead seeks to posit a well founded argument in favour of the precautionary principle.
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  • Agar directly tackles Hughes’ ideas of a “democratic transhumanism.” Here as post-humans and humans live shoulder to shoulder in wonderful harmony, all persons have access to the technologies they want in order to promote their own flourishing.  Under girding all of this is the belief that no human should feel pressurised to become enhance. Agar finds no comfort with this and instead can foresee a situation where it would be very difficult for humans to ‘choose’ to remain human.  The pressure to radically enhance would be considerable given the fact that the radically enhanced would no doubt be occupying the positions of power in society and would consider the moral obligation to utilise to the full enhancement techniques as being a moral imperative for the good of society.  For those who were able to withstand then a new underclass would no doubt emerge between the enhanced and the un-enhanced. This is precisely the kind of society which Hughes appears to be overly optimistic will not emerge but which is more akin to Lee Silver’s prediction of the future with the distinction made between the "GenRich" and the "naturals”.  This being the case, the author proposes that we have two options: radical enhancement is either enforced across the board or banned outright. It is the latter option which Agar favours but crucially does not elaborate further on so it is unclear as to how he would attempt such a ban given the complexity of the issue. This is disappointing as any general initial reflections which the author felt able to offer would have added to the discussion and added further strength to his line of argument.
  • A Transhuman Manifesto The final focus for Agar is James Hughes, who published his transhumanist manifesto Citizen Cyborg in 2004. Given the direct connection with politics and public policy this for me was a particularly interesting read. The basic premise to Hughes argument is that once humans and post humans recognise each other as citizens then this will mark the point at which they will be able to get along with each other.
  • Agar takes to task the argument Bostrom made with Toby Ord, concerning claims against enhancement. Bostrom and Ord argue that it boils down to a preference for the status quo; current human intellects and life spans are preferred and deemed best because they are what we have now and what we are familiar with (p. 134).  Agar discusses the fact that in his view, Bostrom falls into a focalism – focusing on and magnifying the positives whilst ignoring the negative implications.  Moreover, Agar goes onto develop and reiterate his earlier point that the sort of radical enhancements Bostrom et al enthusiastically support and promote take us beyond what is human so they are no longer human. It therefore cannot be said to be human enhancement given the fact that the traits or capacities that such enhancement afford us would be in many respects superior to ours, but they would not be ours.
  • With his law of accelerating returns and talk of the Singularity Ray Kurzweil proposes that we are speeding towards a time when our outdated systems of neurons and synapses will be traded for far more efficient electronic circuits, allowing us to become artificially super-intelligent and transferring our minds from brains into machines.
  • Having laid out the main ideas and thinking behind Kurzweil’s proposals, Agar makes the perceptive comment that despite the apparent appeal of greater processing power it would nevertheless be no longer human. Introducing chips to the human body and linking into the human nervous system to computers as per Ray Kurzweil’s proposals will prove interesting but it goes beyond merely creating a copy of us in order to that future replication and uploading can take place. Rather it will constitute something more akin to an upgrade. Electrochemical signals that the brain use to achieve thought travel at 100 metres per second. This is impressive but contrast this with the electrical signals in a computer which travel at 300 million metres per second then the distinction is clear. If the predictions are true how will such radically enhanced and empowered beings live not only the unenhanced but also what will there quality of life really be? In response, Agar favours something what he calls “rational biological conservatism” (pg. 57) where we set limits on how intelligent we can become in light of the fact that it will never be rational to us for human beings to completely upload their minds onto computers.
  • Agar then proceeds to argue that in the pursuit of Kurzweil enhanced capacities and capabilities we might accidentally undermine capacities of equal value. This line of argument would find much sympathy from those who consider human organisms in “ecological” terms, representing a profound interconnectedness which when interfered with presents a series of unknown and unexpected consequences. In other words, our specifies-specific form of intelligence may well be linked to species-specific form of desire. Thus, if we start building upon and enhancing our capacity to protect and promote deeply held convictions and beliefs then due to the interconnectedness, it may well affect and remove our desire to perform such activities (page 70). Agar’s subsequent discussion and reference to the work of Jerry Foder, philosopher and cognitive scientist is particularly helpful in terms of the functioning of the mind by modules and the implications of human-friendly AI verses human-unfriendly AI.
  • In terms of the author’s discussion of Aubrey de Grey, what is refreshing to read from the outset is the author’s clear grasp of Aubrey’s ideas and motivation. Some make the mistake of thinking he is the man who wants to live forever, when in actual fact this is not the case.  De Grey wants to reverse the ageing process - Strategies for Engineered Negligible Senescence (SENS) so that people are living longer and healthier lives. Establishing this clear distinction affords the author the opportunity to offer more grounded critiques of de Grey’s than some of his other critics. The author makes plain that de Grey’s immediate goal is to achieve longevity escape velocity (LEV), where anti-ageing therapies add years to life expectancy faster than age consumes them.
  • In weighing up the benefits of living significantly longer lives, Agar posits a compelling argument that I had not fully seen before. In terms of risk, those radically enhanced to live longer may actually be the most risk adverse and fearful people to live. Taking the example of driving a car, a forty year-old senescing human being who gets into their car to drive to work and is involved in a fatal accident “stands to lose, at most, a few healthy, youthful years and a slightly larger number of years with reduced quality” (p.116). In stark contrast should a negligibly senescent being who drives a car and is involved in an accident resulting in their death, stands to lose on average one thousand, healthy, youthful years (p.116).  
  • De Grey’s response to this seems a little flippant; with the end of ageing comes an increased sense of risk-aversion so the desire for risky activity such as driving will no longer be prevalent. Moreover, plus because we are living for longer we will not be in such a hurry to get to places!  Virtual reality comes into its own at this point as a means by which the negligibly senescent being ‘adrenaline junkie’ can be engaged with activities but without the associated risks. But surely the risk is part of the reason why they would want to engage in snow boarding, bungee jumping et al in the first place. De Grey’s strategy seemingly fails to appreciate the extent to which human beings want “direct” contact with the “real” world.
  • Continuing this idea further though, Agar’s subsequent discussion of the role of fire-fighters is an interesting one.  A negligibly senescent fire fighter may stand to loose more when they are trapped in a burning inferno but being negligibly senescent means that they are better fire-fighters by virtue of increase vitality. Having recently heard de Grey speak and had the privilege of discussing his ideas further with him, Agar’s discussion of De Grey were a particular highlight of the book and made for an engaging discussion. Whilst expressing concern and doubt in relation to De Grey’s ideas, Agar is nevertheless quick and gracious enough to acknowledge that if such therapies could be achieved then De Grey is probably the best person to comment on and achieve such therapies given the depth of knowledge and understanding that he has built up in this area.
Weiye Loh

The Decline Effect and the Scientific Method : The New Yorker - 0 views

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Truth Science Evidence Data

shared by Weiye Loh on 05 Jan 11 - No Cached
  • On September 18, 2007, a few dozen neuroscientists, psychiatrists, and drug-company executives gathered in a hotel conference room in Brussels to hear some startling news. It had to do with a class of drugs known as atypical or second-generation antipsychotics, which came on the market in the early nineties.
  • the therapeutic power of the drugs appeared to be steadily waning. A recent study showed an effect that was less than half of that documented in the first trials, in the early nineteen-nineties. Many researchers began to argue that the expensive pharmaceuticals weren’t any better than first-generation antipsychotics, which have been in use since the fifties. “In fact, sometimes they now look even worse,” John Davis, a professor of psychiatry at the University of Illinois at Chicago, told me.
  • Before the effectiveness of a drug can be confirmed, it must be tested and tested again. Different scientists in different labs need to repeat the protocols and publish their results. The test of replicability, as it’s known, is the foundation of modern research. Replicability is how the community enforces itself. It’s a safeguard for the creep of subjectivity. Most of the time, scientists know what results they want, and that can influence the results they get. The premise of replicability is that the scientific community can correct for these flaws.
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  • But now all sorts of well-established, multiply confirmed findings have started to look increasingly uncertain. It’s as if our facts were losing their truth: claims that have been enshrined in textbooks are suddenly unprovable. This phenomenon doesn’t yet have an official name, but it’s occurring across a wide range of fields, from psychology to ecology. In the field of medicine, the phenomenon seems extremely widespread, affecting not only antipsychotics but also therapies ranging from cardiac stents to Vitamin E and antidepressants: Davis has a forthcoming analysis demonstrating that the efficacy of antidepressants has gone down as much as threefold in recent decades.
  • the effect is especially troubling because of what it exposes about the scientific process. If replication is what separates the rigor of science from the squishiness of pseudoscience, where do we put all these rigorously validated findings that can no longer be proved? Which results should we believe? Francis Bacon, the early-modern philosopher and pioneer of the scientific method, once declared that experiments were essential, because they allowed us to “put nature to the question.” But it appears that nature often gives us different answers.
  • At first, he assumed that he’d made an error in experimental design or a statistical miscalculation. But he couldn’t find anything wrong with his research. He then concluded that his initial batch of research subjects must have been unusually susceptible to verbal overshadowing. (John Davis, similarly, has speculated that part of the drop-off in the effectiveness of antipsychotics can be attributed to using subjects who suffer from milder forms of psychosis which are less likely to show dramatic improvement.) “It wasn’t a very satisfying explanation,” Schooler says. “One of my mentors told me that my real mistake was trying to replicate my work. He told me doing that was just setting myself up for disappointment.”
  • In private, Schooler began referring to the problem as “cosmic habituation,” by analogy to the decrease in response that occurs when individuals habituate to particular stimuli. “Habituation is why you don’t notice the stuff that’s always there,” Schooler says. “It’s an inevitable process of adjustment, a ratcheting down of excitement. I started joking that it was like the cosmos was habituating to my ideas. I took it very personally.”
  • The most likely explanation for the decline is an obvious one: regression to the mean. As the experiment is repeated, that is, an early statistical fluke gets cancelled out. The extrasensory powers of Schooler’s subjects didn’t decline—they were simply an illusion that vanished over time. And yet Schooler has noticed that many of the data sets that end up declining seem statistically solid—that is, they contain enough data that any regression to the mean shouldn’t be dramatic. “These are the results that pass all the tests,” he says. “The odds of them being random are typically quite remote, like one in a million. This means that the decline effect should almost never happen. But it happens all the time!
  • this is why Schooler believes that the decline effect deserves more attention: its ubiquity seems to violate the laws of statistics. “Whenever I start talking about this, scientists get very nervous,” he says. “But I still want to know what happened to my results. Like most scientists, I assumed that it would get easier to document my effect over time. I’d get better at doing the experiments, at zeroing in on the conditions that produce verbal overshadowing. So why did the opposite happen? I’m convinced that we can use the tools of science to figure this out. First, though, we have to admit that we’ve got a problem.”
  • In 2001, Michael Jennions, a biologist at the Australian National University, set out to analyze “temporal trends” across a wide range of subjects in ecology and evolutionary biology. He looked at hundreds of papers and forty-four meta-analyses (that is, statistical syntheses of related studies), and discovered a consistent decline effect over time, as many of the theories seemed to fade into irrelevance. In fact, even when numerous variables were controlled for—Jennions knew, for instance, that the same author might publish several critical papers, which could distort his analysis—there was still a significant decrease in the validity of the hypothesis, often within a year of publication. Jennions admits that his findings are troubling, but expresses a reluctance to talk about them publicly. “This is a very sensitive issue for scientists,” he says. “You know, we’re supposed to be dealing with hard facts, the stuff that’s supposed to stand the test of time. But when you see these trends you become a little more skeptical of things.”
  • the worst part was that when I submitted these null results I had difficulty getting them published. The journals only wanted confirming data. It was too exciting an idea to disprove, at least back then.
  • the steep rise and slow fall of fluctuating asymmetry is a clear example of a scientific paradigm, one of those intellectual fads that both guide and constrain research: after a new paradigm is proposed, the peer-review process is tilted toward positive results. But then, after a few years, the academic incentives shift—the paradigm has become entrenched—so that the most notable results are now those that disprove the theory.
  • Jennions, similarly, argues that the decline effect is largely a product of publication bias, or the tendency of scientists and scientific journals to prefer positive data over null results, which is what happens when no effect is found. The bias was first identified by the statistician Theodore Sterling, in 1959, after he noticed that ninety-seven per cent of all published psychological studies with statistically significant data found the effect they were looking for. A “significant” result is defined as any data point that would be produced by chance less than five per cent of the time. This ubiquitous test was invented in 1922 by the English mathematician Ronald Fisher, who picked five per cent as the boundary line, somewhat arbitrarily, because it made pencil and slide-rule calculations easier. Sterling saw that if ninety-seven per cent of psychology studies were proving their hypotheses, either psychologists were extraordinarily lucky or they published only the outcomes of successful experiments. In recent years, publication bias has mostly been seen as a problem for clinical trials, since pharmaceutical companies are less interested in publishing results that aren’t favorable. But it’s becoming increasingly clear that publication bias also produces major distortions in fields without large corporate incentives, such as psychology and ecology.
  • While publication bias almost certainly plays a role in the decline effect, it remains an incomplete explanation. For one thing, it fails to account for the initial prevalence of positive results among studies that never even get submitted to journals. It also fails to explain the experience of people like Schooler, who have been unable to replicate their initial data despite their best efforts
  • an equally significant issue is the selective reporting of results—the data that scientists choose to document in the first place. Palmer’s most convincing evidence relies on a statistical tool known as a funnel graph. When a large number of studies have been done on a single subject, the data should follow a pattern: studies with a large sample size should all cluster around a common value—the true result—whereas those with a smaller sample size should exhibit a random scattering, since they’re subject to greater sampling error. This pattern gives the graph its name, since the distribution resembles a funnel.
  • The funnel graph visually captures the distortions of selective reporting. For instance, after Palmer plotted every study of fluctuating asymmetry, he noticed that the distribution of results with smaller sample sizes wasn’t random at all but instead skewed heavily toward positive results.
  • Palmer has since documented a similar problem in several other contested subject areas. “Once I realized that selective reporting is everywhere in science, I got quite depressed,” Palmer told me. “As a researcher, you’re always aware that there might be some nonrandom patterns, but I had no idea how widespread it is.” In a recent review article, Palmer summarized the impact of selective reporting on his field: “We cannot escape the troubling conclusion that some—perhaps many—cherished generalities are at best exaggerated in their biological significance and at worst a collective illusion nurtured by strong a-priori beliefs often repeated.”
  • Palmer emphasizes that selective reporting is not the same as scientific fraud. Rather, the problem seems to be one of subtle omissions and unconscious misperceptions, as researchers struggle to make sense of their results. Stephen Jay Gould referred to this as the “shoehorning” process. “A lot of scientific measurement is really hard,” Simmons told me. “If you’re talking about fluctuating asymmetry, then it’s a matter of minuscule differences between the right and left sides of an animal. It’s millimetres of a tail feather. And so maybe a researcher knows that he’s measuring a good male”—an animal that has successfully mated—“and he knows that it’s supposed to be symmetrical. Well, that act of measurement is going to be vulnerable to all sorts of perception biases. That’s not a cynical statement. That’s just the way human beings work.”
  • One of the classic examples of selective reporting concerns the testing of acupuncture in different countries. While acupuncture is widely accepted as a medical treatment in various Asian countries, its use is much more contested in the West. These cultural differences have profoundly influenced the results of clinical trials. Between 1966 and 1995, there were forty-seven studies of acupuncture in China, Taiwan, and Japan, and every single trial concluded that acupuncture was an effective treatment. During the same period, there were ninety-four clinical trials of acupuncture in the United States, Sweden, and the U.K., and only fifty-six per cent of these studies found any therapeutic benefits. As Palmer notes, this wide discrepancy suggests that scientists find ways to confirm their preferred hypothesis, disregarding what they don’t want to see. Our beliefs are a form of blindness.
  • John Ioannidis, an epidemiologist at Stanford University, argues that such distortions are a serious issue in biomedical research. “These exaggerations are why the decline has become so common,” he says. “It’d be really great if the initial studies gave us an accurate summary of things. But they don’t. And so what happens is we waste a lot of money treating millions of patients and doing lots of follow-up studies on other themes based on results that are misleading.”
  • In 2005, Ioannidis published an article in the Journal of the American Medical Association that looked at the forty-nine most cited clinical-research studies in three major medical journals. Forty-five of these studies reported positive results, suggesting that the intervention being tested was effective. Because most of these studies were randomized controlled trials—the “gold standard” of medical evidence—they tended to have a significant impact on clinical practice, and led to the spread of treatments such as hormone replacement therapy for menopausal women and daily low-dose aspirin to prevent heart attacks and strokes. Nevertheless, the data Ioannidis found were disturbing: of the thirty-four claims that had been subject to replication, forty-one per cent had either been directly contradicted or had their effect sizes significantly downgraded.
  • The situation is even worse when a subject is fashionable. In recent years, for instance, there have been hundreds of studies on the various genes that control the differences in disease risk between men and women. These findings have included everything from the mutations responsible for the increased risk of schizophrenia to the genes underlying hypertension. Ioannidis and his colleagues looked at four hundred and thirty-two of these claims. They quickly discovered that the vast majority had serious flaws. But the most troubling fact emerged when he looked at the test of replication: out of four hundred and thirty-two claims, only a single one was consistently replicable. “This doesn’t mean that none of these claims will turn out to be true,” he says. “But, given that most of them were done badly, I wouldn’t hold my breath.”
  • the main problem is that too many researchers engage in what he calls “significance chasing,” or finding ways to interpret the data so that it passes the statistical test of significance—the ninety-five-per-cent boundary invented by Ronald Fisher. “The scientists are so eager to pass this magical test that they start playing around with the numbers, trying to find anything that seems worthy,” Ioannidis says. In recent years, Ioannidis has become increasingly blunt about the pervasiveness of the problem. One of his most cited papers has a deliberately provocative title: “Why Most Published Research Findings Are False.”
  • The problem of selective reporting is rooted in a fundamental cognitive flaw, which is that we like proving ourselves right and hate being wrong. “It feels good to validate a hypothesis,” Ioannidis said. “It feels even better when you’ve got a financial interest in the idea or your career depends upon it. And that’s why, even after a claim has been systematically disproven”—he cites, for instance, the early work on hormone replacement therapy, or claims involving various vitamins—“you still see some stubborn researchers citing the first few studies that show a strong effect. They really want to believe that it’s true.”
  • scientists need to become more rigorous about data collection before they publish. “We’re wasting too much time chasing after bad studies and underpowered experiments,” he says. The current “obsession” with replicability distracts from the real problem, which is faulty design. He notes that nobody even tries to replicate most science papers—there are simply too many. (According to Nature, a third of all studies never even get cited, let alone repeated.)
  • Schooler recommends the establishment of an open-source database, in which researchers are required to outline their planned investigations and document all their results. “I think this would provide a huge increase in access to scientific work and give us a much better way to judge the quality of an experiment,” Schooler says. “It would help us finally deal with all these issues that the decline effect is exposing.”
  • Although such reforms would mitigate the dangers of publication bias and selective reporting, they still wouldn’t erase the decline effect. This is largely because scientific research will always be shadowed by a force that can’t be curbed, only contained: sheer randomness. Although little research has been done on the experimental dangers of chance and happenstance, the research that exists isn’t encouraging
  • John Crabbe, a neuroscientist at the Oregon Health and Science University, conducted an experiment that showed how unknowable chance events can skew tests of replicability. He performed a series of experiments on mouse behavior in three different science labs: in Albany, New York; Edmonton, Alberta; and Portland, Oregon. Before he conducted the experiments, he tried to standardize every variable he could think of. The same strains of mice were used in each lab, shipped on the same day from the same supplier. The animals were raised in the same kind of enclosure, with the same brand of sawdust bedding. They had been exposed to the same amount of incandescent light, were living with the same number of littermates, and were fed the exact same type of chow pellets. When the mice were handled, it was with the same kind of surgical glove, and when they were tested it was on the same equipment, at the same time in the morning.
  • The premise of this test of replicability, of course, is that each of the labs should have generated the same pattern of results. “If any set of experiments should have passed the test, it should have been ours,” Crabbe says. “But that’s not the way it turned out.” In one experiment, Crabbe injected a particular strain of mouse with cocaine. In Portland the mice given the drug moved, on average, six hundred centimetres more than they normally did; in Albany they moved seven hundred and one additional centimetres. But in the Edmonton lab they moved more than five thousand additional centimetres. Similar deviations were observed in a test of anxiety. Furthermore, these inconsistencies didn’t follow any detectable pattern. In Portland one strain of mouse proved most anxious, while in Albany another strain won that distinction.
  • The disturbing implication of the Crabbe study is that a lot of extraordinary scientific data are nothing but noise. The hyperactivity of those coked-up Edmonton mice wasn’t an interesting new fact—it was a meaningless outlier, a by-product of invisible variables we don’t understand. The problem, of course, is that such dramatic findings are also the most likely to get published in prestigious journals, since the data are both statistically significant and entirely unexpected. Grants get written, follow-up studies are conducted. The end result is a scientific accident that can take years to unravel.
  • This suggests that the decline effect is actually a decline of illusion.
  • While Karl Popper imagined falsification occurring with a single, definitive experiment—Galileo refuted Aristotelian mechanics in an afternoon—the process turns out to be much messier than that. Many scientific theories continue to be considered true even after failing numerous experimental tests. Verbal overshadowing might exhibit the decline effect, but it remains extensively relied upon within the field. The same holds for any number of phenomena, from the disappearing benefits of second-generation antipsychotics to the weak coupling ratio exhibited by decaying neutrons, which appears to have fallen by more than ten standard deviations between 1969 and 2001. Even the law of gravity hasn’t always been perfect at predicting real-world phenomena. (In one test, physicists measuring gravity by means of deep boreholes in the Nevada desert found a two-and-a-half-per-cent discrepancy between the theoretical predictions and the actual data.) Despite these findings, second-generation antipsychotics are still widely prescribed, and our model of the neutron hasn’t changed. The law of gravity remains the same.
  • Such anomalies demonstrate the slipperiness of empiricism. Although many scientific ideas generate conflicting results and suffer from falling effect sizes, they continue to get cited in the textbooks and drive standard medical practice. Why? Because these ideas seem true. Because they make sense. Because we can’t bear to let them go. And this is why the decline effect is so troubling. Not because it reveals the human fallibility of science, in which data are tweaked and beliefs shape perceptions. (Such shortcomings aren’t surprising, at least for scientists.) And not because it reveals that many of our most exciting theories are fleeting fads and will soon be rejected. (That idea has been around since Thomas Kuhn.) The decline effect is troubling because it reminds us how difficult it is to prove anything. We like to pretend that our experiments define the truth for us. But that’s often not the case. Just because an idea is true doesn’t mean it can be proved. And just because an idea can be proved doesn’t mean it’s true. When the experiments are done, we still have to choose what to believe.
Weiye Loh

Do avatars have digital rights? - 20 views

hi weiye, i agree with you that this brings in the topic of representation. maybe you should try taking media and representation by Dr. Ingrid to discuss more on this. Going back to your questio...

avatars

started by Elaine Ong on 16 Sep 09 7 follow-ups, last by Weiye Loh on 18 Sep 09
Weiye Loh

Skepticblog » A Creationist Challenge - 0 views

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Creationism Evolution Logic

shared by Weiye Loh on 01 Mar 11 - No Cached
  • The commenter starts with some ad hominems, asserting that my post is biased and emotional. They provide no evidence or argument to support this assertion. And of course they don’t even attempt to counter any of the arguments I laid out. They then follow up with an argument from authority – he can link to a PhD creationist – so there.
  • The article that the commenter links to is by Henry M. Morris, founder for the Institute for Creation Research (ICR) – a young-earth creationist organization. Morris was (he died in 2006 following a stroke) a PhD – in civil engineering. This point is irrelevant to his actual arguments. I bring it up only to put the commenter’s argument from authority into perspective. No disrespect to engineers – but they are not biologists. They have no expertise relevant to the question of evolution – no more than my MD. So let’s stick to the arguments themselves.
  • The article by Morris is an overview of so-called Creation Science, of which Morris was a major architect. The arguments he presents are all old creationist canards, long deconstructed by scientists. In fact I address many of them in my original refutation. Creationists generally are not very original – they recycle old arguments endlessly, regardless of how many times they have been destroyed.
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  • Morris also makes heavy use of the “taking a quote out of context” strategy favored by creationists. His quotes are often from secondary sources and are incomplete.
  • A more scholarly (i.e. intellectually honest) approach would be to cite actual evidence to support a point. If you are going to cite an authority, then make sure the quote is relevant, in context, and complete.
  • And even better, cite a number of sources to show that the opinion is representative. Rather we get single, partial, and often outdated quotes without context.
  • (nature is not, it turns out, cleanly divided into “kinds”, which have no operational definition). He also repeats this canard: Such variation is often called microevolution, and these minor horizontal (or downward) changes occur fairly often, but such changes are not true “vertical” evolution. This is the microevolution/macroevolution false dichotomy. It is only “often called” this by creationists – not by actual evolutionary scientists. There is no theoretical or empirical division between macro and micro evolution. There is just evolution, which can result in the full spectrum of change from minor tweaks to major changes.
  • Morris wonders why there are no “dats” – dog-cat transitional species. He misses the hierarchical nature of evolution. As evolution proceeds, and creatures develop a greater and greater evolutionary history behind them, they increasingly are committed to their body plan. This results in a nestled hierarchy of groups – which is reflected in taxonomy (the naming scheme of living things).
  • once our distant ancestors developed the basic body plan of chordates, they were committed to that body plan. Subsequent evolution resulted in variations on that plan, each of which then developed further variations, etc. But evolution cannot go backward, undo evolutionary changes and then proceed down a different path. Once an evolutionary line has developed into a dog, evolution can produce variations on the dog, but it cannot go backwards and produce a cat.
  • Stephen J. Gould described this distinction as the difference between disparity and diversity. Disparity (the degree of morphological difference) actually decreases over evolutionary time, as lineages go extinct and the surviving lineages are committed to fewer and fewer basic body plans. Meanwhile, diversity (the number of variations on a body plan) within groups tends to increase over time.
  • the kind of evolutionary changes that were happening in the past, when species were relatively undifferentiated (compared to contemporary species) is indeed not happening today. Modern multi-cellular life has 600 million years of evolutionary history constraining their future evolution – which was not true of species at the base of the evolutionary tree. But modern species are indeed still evolving.
  • Here is a list of research documenting observed instances of speciation. The list is from 1995, and there are more recent examples to add to the list. Here are some more. And here is a good list with references of more recent cases.
  • Next Morris tries to convince the reader that there is no evidence for evolution in the past, focusing on the fossil record. He repeats the false claim (again, which I already dealt with) that there are no transitional fossils: Even those who believe in rapid evolution recognize that a considerable number of generations would be required for one distinct “kind” to evolve into another more complex kind. There ought, therefore, to be a considerable number of true transitional structures preserved in the fossils — after all, there are billions of non-transitional structures there! But (with the exception of a few very doubtful creatures such as the controversial feathered dinosaurs and the alleged walking whales), they are not there.
  • I deal with this question at length here, pointing out that there are numerous transitional fossils for the evolution of terrestrial vertebrates, mammals, whales, birds, turtles, and yes – humans from ape ancestors. There are many more examples, these are just some of my favorites.
  • Much of what follows (as you can see it takes far more space to correct the lies and distortions of Morris than it did to create them) is classic denialism – misinterpreting the state of the science, and confusing lack of information about the details of evolution with lack of confidence in the fact of evolution. Here are some examples – he quotes Niles Eldridge: “It is a simple ineluctable truth that virtually all members of a biota remain basically stable, with minor fluctuations, throughout their durations. . . .“ So how do evolutionists arrive at their evolutionary trees from fossils of organisms which didn’t change during their durations? Beware the “….” – that means that meaningful parts of the quote are being omitted. I happen to have the book (The Pattern of Evolution) from which Morris mined that particular quote. Here’s the rest of it: (Remember, by “biota” we mean the commonly preserved plants and animals of a particular geological interval, which occupy regions often as large as Roger Tory Peterson’s “eastern” region of North American birds.) And when these systems change – when the older species disappear, and new ones take their place – the change happens relatively abruptly and in lockstep fashion.”
  • Eldridge was one of the authors (with Gould) of punctuated equilibrium theory. This states that, if you look at the fossil record, what we see are species emerging, persisting with little change for a while, and then disappearing from the fossil record. They theorize that most species most of the time are at equilibrium with their environment, and so do not change much. But these periods of equilibrium are punctuated by disequilibrium – periods of change when species will have to migrate, evolve, or go extinct.
  • This does not mean that speciation does not take place. And if you look at the fossil record we see a pattern of descendant species emerging from ancestor species over time – in a nice evolutionary pattern. Morris gives a complete misrepresentation of Eldridge’s point – once again we see intellectual dishonesty in his methods of an astounding degree.
  • Regarding the atheism = religion comment, it reminds me of a great analogy that I first heard on twitter from Evil Eye. (paraphrase) “those that say atheism is a religion, is like saying ‘not collecting stamps’ is a hobby too.”
  • Morris next tackles the genetic evidence, writing: More often is the argument used that similar DNA structures in two different organisms proves common evolutionary ancestry. Neither argument is valid. There is no reason whatever why the Creator could not or would not use the same type of genetic code based on DNA for all His created life forms. This is evidence for intelligent design and creation, not evolution.
  • Here is an excellent summary of the multiple lines of molecular evidence for evolution. Basically, if we look at the sequence of DNA, the variations in trinucleotide codes for amino acids, and amino acids for proteins, and transposons within DNA we see a pattern that can only be explained by evolution (or a mischievous god who chose, for some reason, to make life look exactly as if it had evolved – a non-falsifiable notion).
  • The genetic code is essentially comprised of four letters (ACGT for DNA), and every triplet of three letters equates to a specific amino acid. There are 64 (4^3) possible three letter combinations, and 20 amino acids. A few combinations are used for housekeeping, like a code to indicate where a gene stops, but the rest code for amino acids. There are more combinations than amino acids, so most amino acids are coded for by multiple combinations. This means that a mutation that results in a one-letter change might alter from one code for a particular amino acid to another code for the same amino acid. This is called a silent mutation because it does not result in any change in the resulting protein.
  • It also means that there are very many possible codes for any individual protein. The question is – which codes out of the gazillions of possible codes do we find for each type of protein in different species. If each “kind” were created separately there would not need to be any relationship. Each kind could have it’s own variation, or they could all be identical if they were essentially copied (plus any mutations accruing since creation, which would be minimal). But if life evolved then we would expect that the exact sequence of DNA code would be similar in related species, but progressively different (through silent mutations) over evolutionary time.
  • This is precisely what we find – in every protein we have examined. This pattern is necessary if evolution were true. It cannot be explained by random chance (the probability is absurdly tiny – essentially zero). And it makes no sense from a creationist perspective. This same pattern (a branching hierarchy) emerges when we look at amino acid substitutions in proteins and other aspects of the genetic code.
  • Morris goes for the second law of thermodynamics again – in the exact way that I already addressed. He responds to scientists correctly pointing out that the Earth is an open system, by writing: This naive response to the entropy law is typical of evolutionary dissimulation. While it is true that local order can increase in an open system if certain conditions are met, the fact is that evolution does not meet those conditions. Simply saying that the earth is open to the energy from the sun says nothing about how that raw solar heat is converted into increased complexity in any system, open or closed. The fact is that the best known and most fundamental equation of thermodynamics says that the influx of heat into an open system will increase the entropy of that system, not decrease it. All known cases of decreased entropy (or increased organization) in open systems involve a guiding program of some sort and one or more energy conversion mechanisms.
  • Energy has to be transformed into a usable form in order to do the work necessary to decrease entropy. That’s right. That work is done by life. Plants take solar energy (again – I’m not sure what “raw solar heat” means) and convert it into food. That food fuels the processes of life, which include development and reproduction. Evolution emerges from those processes- therefore the conditions that Morris speaks of are met.
  • But Morris next makes a very confused argument: Evolution has neither of these. Mutations are not “organizing” mechanisms, but disorganizing (in accord with the second law). They are commonly harmful, sometimes neutral, but never beneficial (at least as far as observed mutations are concerned). Natural selection cannot generate order, but can only “sieve out” the disorganizing mutations presented to it, thereby conserving the existing order, but never generating new order.
  • The notion that evolution (as if it’s a thing) needs to use energy is hopelessly confused. Evolution is a process that emerges from the system of life – and life certainly can use solar energy to decrease its entropy, and by extension the entropy of the biosphere. Morris slips into what is often presented as an information argument.  (Yet again – already dealt with. The pattern here is that we are seeing a shuffling around of the same tired creationists arguments.) It is first not true that most mutations are harmful. Many are silent, and many of those that are not silent are not harmful. They may be neutral, they may be a mixed blessing, and their relative benefit vs harm is likely to be situational. They may be fatal. And they also may be simply beneficial.
  • Morris finishes with a long rambling argument that evolution is religion. Evolution is promoted by its practitioners as more than mere science. Evolution is promulgated as an ideology, a secular religion — a full-fledged alternative to Christianity, with meaning and morality . . . . Evolution is a religion. This was true of evolution in the beginning, and it is true of evolution still today. Morris ties evolution to atheism, which, he argues, makes it a religion. This assumes, of course, that atheism is a religion. That depends on how you define atheism and how you define religion – but it is mostly wrong. Atheism is a lack of belief in one particular supernatural claim – that does not qualify it as a religion.
  • But mutations are not “disorganizing” – that does not even make sense. It seems to be based on a purely creationist notion that species are in some privileged perfect state, and any mutation can only take them farther from that perfection. For those who actually understand biology, life is a kluge of compromises and variation. Mutations are mostly lateral moves from one chaotic state to another. They are not directional. But they do provide raw material, variation, for natural selection. Natural selection cannot generate variation, but it can select among that variation to provide differential survival. This is an old game played by creationists – mutations are not selective, and natural selection is not creative (does not increase variation). These are true but irrelevant, because mutations increase variation and information, and selection is a creative force that results in the differential survival of better adapted variation.
  • Weiye Loh on 01 Mar 11
     
    One of my earlier posts on SkepticBlog was Ten Major Flaws in Evolution: A Refutation, published two years ago. Occasionally a creationist shows up to snipe at the post, like this one:i read this and found it funny. It supposedly gives a scientific refutation, but it is full of more bias than fox news, and a lot of emotion as well.here's a scientific case by an actual scientists, you know, one with a ph. D, and he uses statements by some of your favorite evolutionary scientists to insist evolution doesn't exist.i challenge you to write a refutation on this one.http://www.icr.org/home/resources/resources_tracts_scientificcaseagainstevolution/Challenge accepted.
Weiye Loh

The Black Swan of Cairo | Foreign Affairs - 0 views

www.foreignaffairs.com/...the-black-swan-of-cairo

Complex System Black Swan Falsifiability Politics Economics

shared by Weiye Loh on 01 May 11 - No Cached
  • It is both misguided and dangerous to push unobserved risks further into the statistical tails of the probability distribution of outcomes and allow these high-impact, low-probability "tail risks" to disappear from policymakers' fields of observation.
  • Such environments eventually experience massive blowups, catching everyone off-guard and undoing years of stability or, in some cases, ending up far worse than they were in their initial volatile state. Indeed, the longer it takes for the blowup to occur, the worse the resulting harm in both economic and political systems.
  • Seeking to restrict variability seems to be good policy (who does not prefer stability to chaos?), so it is with very good intentions that policymakers unwittingly increase the risk of major blowups. And it is the same misperception of the properties of natural systems that led to both the economic crisis of 2007-8 and the current turmoil in the Arab world. The policy implications are identical: to make systems robust, all risks must be visible and out in the open -- fluctuat nec mergitur (it fluctuates but does not sink) goes the Latin saying.
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  • Just as a robust economic system is one that encourages early failures (the concepts of "fail small" and "fail fast"), the U.S. government should stop supporting dictatorial regimes for the sake of pseudostability and instead allow political noise to rise to the surface. Making an economy robust in the face of business swings requires allowing risk to be visible; the same is true in politics.
  • Both the recent financial crisis and the current political crisis in the Middle East are grounded in the rise of complexity, interdependence, and unpredictability. Policymakers in the United Kingdom and the United States have long promoted policies aimed at eliminating fluctuation -- no more booms and busts in the economy, no more "Iranian surprises" in foreign policy. These policies have almost always produced undesirable outcomes. For example, the U.S. banking system became very fragile following a succession of progressively larger bailouts and government interventions, particularly after the 1983 rescue of major banks (ironically, by the same Reagan administration that trumpeted free markets). In the United States, promoting these bad policies has been a bipartisan effort throughout. Republicans have been good at fragilizing large corporations through bailouts, and Democrats have been good at fragilizing the government. At the same time, the financial system as a whole exhibited little volatility; it kept getting weaker while providing policymakers with the illusion of stability, illustrated most notably when Ben Bernanke, who was then a member of the Board of Governors of the U.S. Federal Reserve, declared the era of "the great moderation" in 2004.
  • Washington stabilized the market with bailouts and by allowing certain companies to grow "too big to fail." Because policymakers believed it was better to do something than to do nothing, they felt obligated to heal the economy rather than wait and see if it healed on its own.
  • The foreign policy equivalent is to support the incumbent no matter what. And just as banks took wild risks thanks to Greenspan's implicit insurance policy, client governments such as Hosni Mubarak's in Egypt for years engaged in overt plunder thanks to similarly reliable U.S. support.
  • Those who seek to prevent volatility on the grounds that any and all bumps in the road must be avoided paradoxically increase the probability that a tail risk will cause a major explosion.
  • In the realm of economics, price controls are designed to constrain volatility on the grounds that stable prices are a good thing. But although these controls might work in some rare situations, the long-term effect of any such system is an eventual and extremely costly blowup whose cleanup costs can far exceed the benefits accrued. The risks of a dictatorship, no matter how seemingly stable, are no different, in the long run, from those of an artificially controlled price.
  • Such attempts to institutionally engineer the world come in two types: those that conform to the world as it is and those that attempt to reform the world. The nature of humans, quite reasonably, is to intervene in an effort to alter their world and the outcomes it produces. But government interventions are laden with unintended -- and unforeseen -- consequences, particularly in complex systems, so humans must work with nature by tolerating systems that absorb human imperfections rather than seek to change them.
  • What is needed is a system that can prevent the harm done to citizens by the dishonesty of business elites; the limited competence of forecasters, economists, and statisticians; and the imperfections of regulation, not one that aims to eliminate these flaws. Humans must try to resist the illusion of control: just as foreign policy should be intelligence-proof (it should minimize its reliance on the competence of information-gathering organizations and the predictions of "experts" in what are inherently unpredictable domains), the economy should be regulator-proof, given that some regulations simply make the system itself more fragile. Due to the complexity of markets, intricate regulations simply serve to generate fees for lawyers and profits for sophisticated derivatives traders who can build complicated financial products that skirt those regulations.
  • The life of a turkey before Thanksgiving is illustrative: the turkey is fed for 1,000 days and every day seems to confirm that the farmer cares for it -- until the last day, when confidence is maximal. The "turkey problem" occurs when a naive analysis of stability is derived from the absence of past variations. Likewise, confidence in stability was maximal at the onset of the financial crisis in 2007.
  • The turkey problem for humans is the result of mistaking one environment for another. Humans simultaneously inhabit two systems: the linear and the complex. The linear domain is characterized by its predictability and the low degree of interaction among its components, which allows the use of mathematical methods that make forecasts reliable. In complex systems, there is an absence of visible causal links between the elements, masking a high degree of interdependence and extremely low predictability. Nonlinear elements are also present, such as those commonly known, and generally misunderstood, as "tipping points." Imagine someone who keeps adding sand to a sand pile without any visible consequence, until suddenly the entire pile crumbles. It would be foolish to blame the collapse on the last grain of sand rather than the structure of the pile, but that is what people do consistently, and that is the policy error.
  • Engineering, architecture, astronomy, most of physics, and much of common science are linear domains. The complex domain is the realm of the social world, epidemics, and economics. Crucially, the linear domain delivers mild variations without large shocks, whereas the complex domain delivers massive jumps and gaps. Complex systems are misunderstood, mostly because humans' sophistication, obtained over the history of human knowledge in the linear domain, does not transfer properly to the complex domain. Humans can predict a solar eclipse and the trajectory of a space vessel, but not the stock market or Egyptian political events. All man-made complex systems have commonalities and even universalities. Sadly, deceptive calm (followed by Black Swan surprises) seems to be one of those properties.
  • The system is responsible, not the components. But after the financial crisis of 2007-8, many people thought that predicting the subprime meltdown would have helped. It would not have, since it was a symptom of the crisis, not its underlying cause. Likewise, Obama's blaming "bad intelligence" for his administration's failure to predict the crisis in Egypt is symptomatic of both the misunderstanding of complex systems and the bad policies involved.
  • Obama's mistake illustrates the illusion of local causal chains -- that is, confusing catalysts for causes and assuming that one can know which catalyst will produce which effect. The final episode of the upheaval in Egypt was unpredictable for all observers, especially those involved. As such, blaming the CIA is as foolish as funding it to forecast such events. Governments are wasting billions of dollars on attempting to predict events that are produced by interdependent systems and are therefore not statistically understandable at the individual level.
  • Political and economic "tail events" are unpredictable, and their probabilities are not scientifically measurable. No matter how many dollars are spent on research, predicting revolutions is not the same as counting cards; humans will never be able to turn politics into the tractable randomness of blackjack.
  • Most explanations being offered for the current turmoil in the Middle East follow the "catalysts as causes" confusion. The riots in Tunisia and Egypt were initially attributed to rising commodity prices, not to stifling and unpopular dictatorships. But Bahrain and Libya are countries with high gdps that can afford to import grain and other commodities. Again, the focus is wrong even if the logic is comforting. It is the system and its fragility, not events, that must be studied -- what physicists call "percolation theory," in which the properties of the terrain are studied rather than those of a single element of the terrain.
  • When dealing with a system that is inherently unpredictable, what should be done? Differentiating between two types of countries is useful. In the first, changes in government do not lead to meaningful differences in political outcomes (since political tensions are out in the open). In the second type, changes in government lead to both drastic and deeply unpredictable changes.
  • Humans fear randomness -- a healthy ancestral trait inherited from a different environment. Whereas in the past, which was a more linear world, this trait enhanced fitness and increased chances of survival, it can have the reverse effect in today's complex world, making volatility take the shape of nasty Black Swans hiding behind deceptive periods of "great moderation." This is not to say that any and all volatility should be embraced. Insurance should not be banned, for example.
  • But alongside the "catalysts as causes" confusion sit two mental biases: the illusion of control and the action bias (the illusion that doing something is always better than doing nothing). This leads to the desire to impose man-made solutions
  • Variation is information. When there is no variation, there is no information. This explains the CIA's failure to predict the Egyptian revolution and, a generation before, the Iranian Revolution -- in both cases, the revolutionaries themselves did not have a clear idea of their relative strength with respect to the regime they were hoping to topple. So rather than subsidize and praise as a "force for stability" every tin-pot potentate on the planet, the U.S. government should encourage countries to let information flow upward through the transparency that comes with political agitation. It should not fear fluctuations per se, since allowing them to be in the open, as Italy and Lebanon both show in different ways, creates the stability of small jumps.
  • As Seneca wrote in De clementia, "Repeated punishment, while it crushes the hatred of a few, stirs the hatred of all . . . just as trees that have been trimmed throw out again countless branches." The imposition of peace through repeated punishment lies at the heart of many seemingly intractable conflicts, including the Israeli-Palestinian stalemate. Furthermore, dealing with seemingly reliable high-level officials rather than the people themselves prevents any peace treaty signed from being robust. The Romans were wise enough to know that only a free man under Roman law could be trusted to engage in a contract; by extension, only a free people can be trusted to abide by a treaty. Treaties that are negotiated with the consent of a broad swath of the populations on both sides of a conflict tend to survive. Just as no central bank is powerful enough to dictate stability, no superpower can be powerful enough to guarantee solid peace alone.
  • As Jean-Jacques Rousseau put it, "A little bit of agitation gives motivation to the soul, and what really makes the species prosper is not peace so much as freedom." With freedom comes some unpredictable fluctuation. This is one of life's packages: there is no freedom without noise -- and no stability without volatility.∂
Weiye Loh

Mystery and Evidence - NYTimes.com - 0 views

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Evidence Science Religion

shared by Weiye Loh on 08 Sep 10 - Cached
  • a very natural way for atheists to react to religious claims: to ask for evidence, and reject these claims in the absence of it. Many of the several hundred comments that followed two earlier Stone posts “Philosophy and Faith” and “On Dawkins’s Atheism: A Response,” both by Gary Gutting, took this stance. Certainly this is the way that today’s “new atheists”  tend to approach religion. According to their view, religions — by this they mean basically Christianity, Judaism and Islam and I will follow them in this — are largely in the business of making claims about the universe that are a bit like scientific hypotheses. In other words, they are claims — like the claim that God created the world — that are supported by evidence, that are proved by arguments and tested against our experience of the world. And against the evidence, these hypotheses do not seem to fare well.
  • But is this the right way to think about religion? Here I want to suggest that it is not, and to try and locate what seem to me some significant differences between science and religion
  • To begin with, scientific explanation is a very specific and technical kind of knowledge. It requires patience, pedantry, a narrowing of focus and (in the case of the most profound scientific theories) considerable mathematical knowledge and ability. No-one can understand quantum theory — by any account, the most successful physical theory there has ever been — unless they grasp the underlying mathematics. Anyone who says otherwise is fooling themselves.
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  • Religious belief is a very different kind of thing. It is not restricted only to those with a certain education or knowledge, it does not require years of training, it is not specialized and it is not technical. (I’m talking here about the content of what people who regularly attend church, mosque or synagogue take themselves to be thinking; I’m not talking about how theologians interpret this content.)
  • while religious belief is widespread, scientific knowledge is not. I would guess that very few people in the world are actually interested in the details of contemporary scientific theories. Why? One obvious reason is that many lack access to this knowledge. Another reason is that even when they have access, these theories require sophisticated knowledge and abilities, which not everyone is capable of getting.
  • most people aren’t deeply interested in science, even when they have the opportunity and the basic intellectual capacity to learn about it. Of course, educated people who know about science know roughly what Einstein, Newton and Darwin said. Many educated people accept the modern scientific view of the world and understand its main outlines. But this is not the same as being interested in the details of science, or being immersed in scientific thinking.
  • This lack of interest in science contrasts sharply with the worldwide interest in religion. It’s hard to say whether religion is in decline or growing, partly because it’s hard to identify only one thing as religion — not a question I can address here. But it’s pretty obvious that whatever it is, religion commands and absorbs the passions and intellects of hundreds of millions of people, many more people than science does. Why is this? Is it because — as the new atheists might argue — they want to explain the world in a scientific kind of way, but since they have not been properly educated they haven’t quite got there yet? Or is it because so many people are incurably irrational and are incapable of scientific thinking? Or is something else going on?
  • Some philosophers have said that religion is so unlike science that it has its own “grammar” or “logic” and should not be held accountable to the same standards as scientific or ordinary empirical belief. When Christians express their belief that “Christ has risen,” for example, they should not be taken as making a factual claim, but as expressing their commitment to what Wittgenstein called a certain “form of life,” a way of seeing significance in the world, a moral and practical outlook which is worlds away from scientific explanation.
  • This view has some merits, as we shall see, but it grossly misrepresents some central phenomena of religion. It is absolutely essential to religions that they make certain factual or historical claims. When Saint Paul says “if Christ is not risen, then our preaching is in vain and our faith is in vain” he is saying that the point of his faith depends on a certain historical occurrence.
  • Theologians will debate exactly what it means to claim that Christ has risen, what exactly the meaning and significance of this occurrence is, and will give more or less sophisticated accounts of it. But all I am saying is that whatever its specific nature, Christians must hold that there was such an occurrence. Christianity does make factual, historical claims. But this is not the same as being a kind of proto-science. This will become clear if we reflect a bit on what science involves.
  • The essence of science involves making hypotheses about the causes and natures of things, in order to explain the phenomena we observe around us, and to predict their future behavior. Some sciences — medical science, for example — make hypotheses about the causes of diseases and test them by intervening. Others — cosmology, for example — make hypotheses that are more remote from everyday causes, and involve a high level of mathematical abstraction and idealization. Scientific reasoning involves an obligation to hold a hypothesis only to the extent that the evidence requires it. Scientists should not accept hypotheses which are “ad hoc” — that is, just tailored for one specific situation but cannot be generalized to others. Most scientific theories involve some kind of generalization: they don’t just make claims about one thing, but about things of a general kind. And their hypotheses are designed, on the whole, to make predictions; and if these predictions don’t come out true, then this is something for the scientists to worry about.
  • Religions do not construct hypotheses in this sense. I said above that Christianity rests upon certain historical claims, like the claim of the resurrection. But this is not enough to make scientific hypotheses central to Christianity, any more than it makes such hypotheses central to history. It is true, as I have just said, that Christianity does place certain historical events at the heart of their conception of the world, and to that extent, one cannot be a Christian unless one believes that these events happened. Speaking for myself, it is because I reject the factual basis of the central Christian doctrines that I consider myself an atheist. But I do not reject these claims because I think they are bad hypotheses in the scientific sense. Not all factual claims are scientific hypotheses. So I disagree with Richard Dawkins when he says “religions make existence claims, and this means scientific claims.”
  • Taken as hypotheses, religious claims do very badly: they are ad hoc, they are arbitrary, they rarely make predictions and when they do they almost never come true. Yet the striking fact is that it does not worry Christians when this happens. In the gospels Jesus predicts the end of the world and the coming of the kingdom of God. It does not worry believers that Jesus was wrong (even if it causes theologians to reinterpret what is meant by ‘the kingdom of God’). If Jesus was framing something like a scientific hypothesis, then it should worry them. Critics of religion might say that this just shows the manifest irrationality of religion. But what it suggests to me is that that something else is going on, other than hypothesis formation.
  • Religious belief tolerates a high degree of mystery and ignorance in its understanding of the world. When the devout pray, and their prayers are not answered, they do not take this as evidence which has to be weighed alongside all the other evidence that prayer is effective. They feel no obligation whatsoever to weigh the evidence. If God does not answer their prayers, well, there must be some explanation of this, even though we may never know it. Why do people suffer if an omnipotent God loves them? Many complex answers have been offered, but in the end they come down to this: it’s a mystery.
  • Science too has its share of mysteries (or rather: things that must simply be accepted without further explanation). But one aim of science is to minimize such things, to reduce the number of primitive concepts or primitive explanations. The religious attitude is very different. It does not seek to minimize mystery. Mysteries are accepted as a consequence of what, for the religious, makes the world meaningful.
  • Religion is an attempt to make sense of the world, but it does not try and do this in the way science does. Science makes sense of the world by showing how things conform to its hypotheses. The characteristic mode of scientific explanation is showing how events fit into a general pattern.
  • Religion, on the other hand, attempts to make sense of the world by seeing a kind of meaning or significance in things. This kind of significance does not need laws or generalizations, but just the sense that the everyday world we experience is not all there is, and that behind it all is the mystery of God’s presence. The believer is already convinced that God is present in everything, even if they cannot explain this or support it with evidence. But it makes sense of their life by suffusing it with meaning. This is the attitude (seeing God in everything) expressed in George Herbert’s poem, “The Elixir.” Equipped with this attitude, even the most miserable tasks can come to have value: Who sweeps a room as for Thy laws/ Makes that and th’ action fine.
  • None of these remarks are intended as being for or against religion. Rather, they are part of an attempt (by an atheist, from the outside) to understand what it is. Those who criticize religion should have an accurate understanding of what it is they are criticizing. But to understand a world view, or a philosophy or system of thought, it is not enough just to understand the propositions it contains. You also have to understand what is central and what is peripheral to the view. Religions do make factual and historical claims, and if these claims are false, then the religions fail. But this dependence on fact does not make religious claims anything like hypotheses in the scientific sense. Hypotheses are not central. Rather, what is central is the commitment to the meaningfulness (and therefore the mystery) of the world.
  • while religious thinking is widespread in the world, scientific thinking is not. I don’t think that this can be accounted for merely in terms of the ignorance or irrationality of human beings. Rather, it is because of the kind of intellectual, emotional and practical appeal that religion has for people, which is a very different appeal from the kind of appeal that science has. Stephen Jay Gould once argued that religion and science are “non-overlapping magisteria.” If he meant by this that religion makes no factual claims which can be refuted by empirical investigations, then he was wrong. But if he meant that religion and science are very different kinds of attempt to understand the world, then he was certainly right.
  • Weiye Loh on 08 Sep 10
     
    Mystery and Evidence By TIM CRANE
Weiye Loh

The Death of Postmodernism And Beyond | Philosophy Now - 0 views

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Postmodernism Foucault Philosophy Modernism Spectacle Reality Reality TV

shared by Weiye Loh on 28 Apr 12 - No Cached
  • Most of the undergraduates who will take ‘Postmodern Fictions’ this year will have been born in 1985 or after, and all but one of the module’s primary texts were written before their lifetime. Far from being ‘contemporary’, these texts were published in another world, before the students were born: The French Lieutenant’s Woman, Nights at the Circus, If on a Winter’s Night a Traveller, Do Androids Dream of Electric Sheep? (and Blade Runner), White Noise: this is Mum and Dad’s culture. Some of the texts (‘The Library of Babel’) were written even before their parents were born. Replace this cache with other postmodern stalwarts – Beloved, Flaubert’s Parrot, Waterland, The Crying of Lot 49, Pale Fire, Slaughterhouse 5, Lanark, Neuromancer, anything by B.S. Johnson – and the same applies. It’s all about as contemporary as The Smiths, as hip as shoulder pads, as happening as Betamax video recorders. These are texts which are just coming to grips with the existence of rock music and television; they mostly do not dream even of the possibility of the technology and communications media – mobile phones, email, the internet, computers in every house powerful enough to put a man on the moon – which today’s undergraduates take for granted.
  • somewhere in the late 1990s or early 2000s, the emergence of new technologies re-structured, violently and forever, the nature of the author, the reader and the text, and the relationships between them.
  • Postmodernism, like modernism and romanticism before it, fetishised [ie placed supreme importance on] the author, even when the author chose to indict or pretended to abolish him or herself. But the culture we have now fetishises the recipient of the text to the degree that they become a partial or whole author of it. Optimists may see this as the democratisation of culture; pessimists will point to the excruciating banality and vacuity of the cultural products thereby generated (at least so far).
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  • Pseudo-modernism also encompasses contemporary news programmes, whose content increasingly consists of emails or text messages sent in commenting on the news items. The terminology of ‘interactivity’ is equally inappropriate here, since there is no exchange: instead, the viewer or listener enters – writes a segment of the programme – then departs, returning to a passive role. Pseudo-modernism also includes computer games, which similarly place the individual in a context where they invent the cultural content, within pre-delineated limits. The content of each individual act of playing the game varies according to the particular player.
  • The pseudo-modern cultural phenomenon par excellence is the internet. Its central act is that of the individual clicking on his/her mouse to move through pages in a way which cannot be duplicated, inventing a pathway through cultural products which has never existed before and never will again. This is a far more intense engagement with the cultural process than anything literature can offer, and gives the undeniable sense (or illusion) of the individual controlling, managing, running, making up his/her involvement with the cultural product. Internet pages are not ‘authored’ in the sense that anyone knows who wrote them, or cares. The majority either require the individual to make them work, like Streetmap or Route Planner, or permit him/her to add to them, like Wikipedia, or through feedback on, for instance, media websites. In all cases, it is intrinsic to the internet that you can easily make up pages yourself (eg blogs).
  • Where once special effects were supposed to make the impossible appear credible, CGI frequently [inadvertently] works to make the possible look artificial, as in much of Lord of the Rings or Gladiator. Battles involving thousands of individuals have really happened; pseudo-modern cinema makes them look as if they have only ever happened in cyberspace.
  • Similarly, television in the pseudo-modern age favours not only reality TV (yet another unapt term), but also shopping channels, and quizzes in which the viewer calls to guess the answer to riddles in the hope of winning money.
  • The purely ‘spectacular’ function of television, as with all the arts, has become a marginal one: what is central now is the busy, active, forging work of the individual who would once have been called its recipient. In all of this, the ‘viewer’ feels powerful and is indeed necessary; the ‘author’ as traditionally understood is either relegated to the status of the one who sets the parameters within which others operate, or becomes simply irrelevant, unknown, sidelined; and the ‘text’ is characterised both by its hyper-ephemerality and by its instability. It is made up by the ‘viewer’, if not in its content then in its sequence – you wouldn’t read Middlemarch by going from page 118 to 316 to 401 to 501, but you might well, and justifiably, read Ceefax that way.
  • A pseudo-modern text lasts an exceptionally brief time. Unlike, say, Fawlty Towers, reality TV programmes cannot be repeated in their original form, since the phone-ins cannot be reproduced, and without the possibility of phoning-in they become a different and far less attractive entity.
  • If scholars give the date they referenced an internet page, it is because the pages disappear or get radically re-cast so quickly. Text messages and emails are extremely difficult to keep in their original form; printing out emails does convert them into something more stable, like a letter, but only by destroying their essential, electronic state.
  • The cultural products of pseudo-modernism are also exceptionally banal
  • Much text messaging and emailing is vapid in comparison with what people of all educational levels used to put into letters.
  • A triteness, a shallowness dominates all.
  • In music, the pseudo-modern supersedingof the artist-dominated album as monolithic text by the downloading and mix-and-matching of individual tracks on to an iPod, selected by the listener, was certainly prefigured by the music fan’s creation of compilation tapes a generation ago. But a shift has occurred, in that what was a marginal pastime of the fan has become the dominant and definitive way of consuming music, rendering the idea of the album as a coherent work of art, a body of integrated meaning, obsolete.
  • To a degree, pseudo-modernism is no more than a technologically motivated shift to the cultural centre of something which has always existed (similarly, metafiction has always existed, but was never so fetishised as it was by postmodernism). Television has always used audience participation, just as theatre and other performing arts did before it; but as an option, not as a necessity: pseudo-modern TV programmes have participation built into them.
  • Whereas postmodernism called ‘reality’ into question, pseudo-modernism defines the real implicitly as myself, now, ‘interacting’ with its texts. Thus, pseudo-modernism suggests that whatever it does or makes is what is reality, and a pseudo-modern text may flourish the apparently real in an uncomplicated form: the docu-soap with its hand-held cameras (which, by displaying individuals aware of being regarded, give the viewer the illusion of participation); The Office and The Blair Witch Project, interactive pornography and reality TV; the essayistic cinema of Michael Moore or Morgan Spurlock.
  • whereas postmodernism favoured the ironic, the knowing and the playful, with their allusions to knowledge, history and ambivalence, pseudo-modernism’s typical intellectual states are ignorance, fanaticism and anxiety
  • pseudo-modernism lashes fantastically sophisticated technology to the pursuit of medieval barbarism – as in the uploading of videos of beheadings onto the internet, or the use of mobile phones to film torture in prisons. Beyond this, the destiny of everyone else is to suffer the anxiety of getting hit in the cross-fire. But this fatalistic anxiety extends far beyond geopolitics, into every aspect of contemporary life; from a general fear of social breakdown and identity loss, to a deep unease about diet and health; from anguish about the destructiveness of climate change, to the effects of a new personal ineptitude and helplessness, which yield TV programmes about how to clean your house, bring up your children or remain solvent.
  • Pseudo-modernism belongs to a world pervaded by the encounter between a religiously fanatical segment of the United States, a largely secular but definitionally hyper-religious Israel, and a fanatical sub-section of Muslims scattered across the planet: pseudo-modernism was not born on 11 September 2001, but postmodernism was interred in its rubble.
  • pseudo-modernist communicates constantly with the other side of the planet, yet needs to be told to eat vegetables to be healthy, a fact self-evident in the Bronze Age. He or she can direct the course of national television programmes, but does not know how to make him or herself something to eat – a characteristic fusion of the childish and the advanced, the powerful and the helpless. For varying reasons, these are people incapable of the “disbelief of Grand Narratives” which Lyotard argued typified postmodernists
  • Weiye Loh on 28 Apr 12
     
    Postmodern philosophy emphasises the elusiveness of meaning and knowledge. This is often expressed in postmodern art as a concern with representation and an ironic self-awareness. And the argument that postmodernism is over has already been made philosophically. There are people who have essentially asserted that for a while we believed in postmodern ideas, but not any more, and from now on we're going to believe in critical realism. The weakness in this analysis is that it centres on the academy, on the practices and suppositions of philosophers who may or may not be shifting ground or about to shift - and many academics will simply decide that, finally, they prefer to stay with Foucault [arch postmodernist] than go over to anything else. However, a far more compelling case can be made that postmodernism is dead by looking outside the academy at current cultural production.
Weiye Loh

New voting methods and fair elections : The New Yorker - 0 views

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Democracy Methodology

shared by Weiye Loh on 29 Jul 10 - Cached
  • history of voting math comes mainly in two chunks: the period of the French Revolution, when some members of France’s Academy of Sciences tried to deduce a rational way of conducting elections, and the nineteen-fifties onward, when economists and game theorists set out to show that this was impossible
  • The first mathematical account of vote-splitting was given by Jean-Charles de Borda, a French mathematician and a naval hero of the American Revolutionary War. Borda concocted examples in which one knows the order in which each voter would rank the candidates in an election, and then showed how easily the will of the majority could be frustrated in an ordinary vote. Borda’s main suggestion was to require voters to rank candidates, rather than just choose one favorite, so that a winner could be calculated by counting points awarded according to the rankings. The key idea was to find a way of taking lower preferences, as well as first preferences, into account.Unfortunately, this method may fail to elect the majority’s favorite—it could, in theory, elect someone who was nobody’s favorite. It is also easy to manipulate by strategic voting.
  • If the candidate who is your second preference is a strong challenger to your first preference, you may be able to help your favorite by putting the challenger last. Borda’s response was to say that his system was intended only for honest men.
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  • After the Academy dropped Borda’s method, it plumped for a simple suggestion by the astronomer and mathematician Pierre-Simon Laplace, who was an important contributor to the theory of probability. Laplace’s rule insisted on an over-all majority: at least half the votes plus one. If no candidate achieved this, nobody was elected to the Academy.
  • Another early advocate of proportional representation was John Stuart Mill, who, in 1861, wrote about the critical distinction between “government of the whole people by the whole people, equally represented,” which was the ideal, and “government of the whole people by a mere majority of the people exclusively represented,” which is what winner-takes-all elections produce. (The minority that Mill was most concerned to protect was the “superior intellects and characters,” who he feared would be swamped as more citizens got the vote.)
  • The key to proportional representation is to enlarge constituencies so that more than one winner is elected in each, and then try to align the share of seats won by a party with the share of votes it receives. These days, a few small countries, including Israel and the Netherlands, treat their entire populations as single constituencies, and thereby get almost perfectly proportional representation. Some places require a party to cross a certain threshold of votes before it gets any seats, in order to filter out extremists.
  • The main criticisms of proportional representation are that it can lead to unstable coalition governments, because more parties are successful in elections, and that it can weaken the local ties between electors and their representatives. Conveniently for its critics, and for its defenders, there are so many flavors of proportional representation around the globe that you can usually find an example of whatever point you want to make. Still, more than three-quarters of the world’s rich countries seem to manage with such schemes.
  • The alternative voting method that will be put to a referendum in Britain is not proportional representation: it would elect a single winner in each constituency, and thus steer clear of what foreigners put up with. Known in the United States as instant-runoff voting, the method was developed around 1870 by William Ware
  • In instant-runoff elections, voters rank all or some of the candidates in order of preference, and votes may be transferred between candidates. The idea is that your vote may count even if your favorite loses. If any candidate gets more than half of all the first-preference votes, he or she wins, and the game is over. But, if there is no majority winner, the candidate with the fewest first-preference votes is eliminated. Then the second-preference votes of his or her supporters are distributed to the other candidates. If there is still nobody with more than half the votes, another candidate is eliminated, and the process is repeated until either someone has a majority or there are only two candidates left, in which case the one with the most votes wins. Third, fourth, and lower preferences will be redistributed if a voter’s higher preferences have already been transferred to candidates who were eliminated earlier.
  • At first glance, this is an appealing approach: it is guaranteed to produce a clear winner, and more voters will have a say in the election’s outcome. Look more closely, though, and you start to see how peculiar the logic behind it is. Although more people’s votes contribute to the result, they do so in strange ways. Some people’s second, third, or even lower preferences count for as much as other people’s first preferences. If you back the loser of the first tally, then in the subsequent tallies your second (and maybe lower) preferences will be added to that candidate’s first preferences. The winner’s pile of votes may well be a jumble of first, second, and third preferences.
  • Such transferrable-vote elections can behave in topsy-turvy ways: they are what mathematicians call “non-monotonic,” which means that something can go up when it should go down, or vice versa. Whether a candidate who gets through the first round of counting will ultimately be elected may depend on which of his rivals he has to face in subsequent rounds, and some votes for a weaker challenger may do a candidate more good than a vote for that candidate himself. In short, a candidate may lose if certain voters back him, and would have won if they hadn’t. Supporters of instant-runoff voting say that the problem is much too rare to worry about in real elections, but recent work by Robert Norman, a mathematician at Dartmouth, suggests otherwise. By Norman’s calculations, it would happen in one in five close contests among three candidates who each have between twenty-five and forty per cent of first-preference votes. With larger numbers of candidates, it would happen even more often. It’s rarely possible to tell whether past instant-runoff elections have gone topsy-turvy in this way, because full ballot data aren’t usually published. But, in Burlington’s 2006 and 2009 mayoral elections, the data were published, and the 2009 election did go topsy-turvy.
  • Kenneth Arrow, an economist at Stanford, examined a set of requirements that you’d think any reasonable voting system could satisfy, and proved that nothing can meet them all when there are more than two candidates. So designing elections is always a matter of choosing a lesser evil. When the Royal Swedish Academy of Sciences awarded Arrow a Nobel Prize, in 1972, it called his result “a rather discouraging one, as regards the dream of a perfect democracy.” Szpiro goes so far as to write that “the democratic world would never be the same again,
  • There is something of a loophole in Arrow’s demonstration. His proof applies only when voters rank candidates; it would not apply if, instead, they rated candidates by giving them grades. First-past-the-post voting is, in effect, a crude ranking method in which voters put one candidate in first place and everyone else last. Similarly, in the standard forms of proportional representation voters rank one party or group of candidates first, and all other parties and candidates last. With rating methods, on the other hand, voters would give all or some candidates a score, to say how much they like them. They would not have to say which is their favorite—though they could in effect do so, by giving only him or her their highest score—and they would not have to decide on an order of preference for the other candidates.
  • One such method is widely used on the Internet—to rate restaurants, movies, books, or other people’s comments or reviews, for example. You give numbers of stars or points to mark how much you like something. To convert this into an election method, count each candidate’s stars or points, and the winner is the one with the highest average score (or the highest total score, if voters are allowed to leave some candidates unrated). This is known as range voting, and it goes back to an idea considered by Laplace at the start of the nineteenth century. It also resembles ancient forms of acclamation in Sparta. The more you like something, the louder you bash your shield with your spear, and the biggest noise wins. A recent variant, developed by two mathematicians in Paris, Michel Balinski and Rida Laraki, uses familiar language rather than numbers for its rating scale. Voters are asked to grade each candidate as, for example, “Excellent,” “Very Good,” “Good,” “Insufficient,” or “Bad.” Judging politicians thus becomes like judging wines, except that you can drive afterward.
  • Range and approval voting deal neatly with the problem of vote-splitting: if a voter likes Nader best, and would rather have Gore than Bush, he or she can approve Nader and Gore but not Bush. Above all, their advocates say, both schemes give voters more options, and would elect the candidate with the most over-all support, rather than the one preferred by the largest minority. Both can be modified to deliver forms of proportional representation.
  • Whether such ideas can work depends on how people use them. If enough people are carelessly generous with their approval votes, for example, there could be some nasty surprises. In an unlikely set of circumstances, the candidate who is the favorite of more than half the voters could lose. Parties in an approval election might spend less time attacking their opponents, in order to pick up positive ratings from rivals’ supporters, and critics worry that it would favor bland politicians who don’t stand for anything much. Defenders insist that such a strategy would backfire in subsequent elections, if not before, and the case of Ronald Reagan suggests that broad appeal and strong views aren’t mutually exclusive.
  • Why are the effects of an unfamiliar electoral system so hard to puzzle out in advance? One reason is that political parties will change their campaign strategies, and voters the way they vote, to adapt to the new rules, and such variables put us in the realm of behavior and culture. Meanwhile, the technical debate about electoral systems generally takes place in a vacuum from which voters’ capriciousness and local circumstances have been pumped out. Although almost any alternative voting scheme now on offer is likely to be better than first past the post, it’s unrealistic to think that one voting method would work equally well for, say, the legislature of a young African republic, the Presidency of an island in Oceania, the school board of a New England town, and the assembly of a country still scarred by civil war. If winner takes all is a poor electoral system, one size fits all is a poor way to pick its replacements.
  • Mathematics can suggest what approaches are worth trying, but it can’t reveal what will suit a particular place, and best deliver what we want from a democratic voting system: to create a government that feels legitimate to people—to reconcile people to being governed, and give them reason to feel that, win or lose (especially lose), the game is fair.
  • Weiye Loh on 29 Jul 10
     
    WIN OR LOSE No voting system is flawless. But some are less democratic than others. by Anthony Gottlieb
Weiye Loh

Research integrity: Sabotage! : Nature News - 0 views

www.nature.com/...467516a.html

Science Politics Academic Research

shared by Weiye Loh on 02 Oct 10 - No Cached
  • University of Michigan in Ann Arbor
  • Vipul Bhrigu, a former postdoc at the university's Comprehensive Cancer Center, wears a dark-blue three-buttoned suit and a pinched expression as he cups his pregnant wife's hand in both of his. When Pollard Hines calls Bhrigu's case to order, she has stern words for him: "I was inclined to send you to jail when I came out here this morning."
  • Bhrigu, over the course of several months at Michigan, had meticulously and systematically sabotaged the work of Heather Ames, a graduate student in his lab, by tampering with her experiments and poisoning her cell-culture media. Captured on hidden camera, Bhrigu confessed to university police in April and pleaded guilty to malicious destruction of personal property, a misdemeanour that apparently usually involves cars: in the spaces for make and model on the police report, the arresting officer wrote "lab research" and "cells". Bhrigu has said on multiple occasions that he was compelled by "internal pressure" and had hoped to slow down Ames's work. Speaking earlier this month, he was contrite. "It was a complete lack of moral judgement on my part," he said.
  • ...16 more annotations...
  • Bhrigu's actions are surprising, but probably not unique. There are few firm numbers showing the prevalence of research sabotage, but conversations with graduate students, postdocs and research-misconduct experts suggest that such misdeeds occur elsewhere, and that most go unreported or unpoliced. In this case, the episode set back research, wasted potentially tens of thousands of dollars and terrorized a young student. More broadly, acts such as Bhrigu's — along with more subtle actions to hold back or derail colleagues' work — have a toxic effect on science and scientists. They are an affront to the implicit trust between scientists that is necessary for research endeavours to exist and thrive.
  • Despite all this, there is little to prevent perpetrators re-entering science.
  • federal bodies that provide research funding have limited ability and inclination to take action in sabotage cases because they aren't interpreted as fitting the federal definition of research misconduct, which is limited to plagiarism, fabrication and falsification of research data.
  • In Bhrigu's case, administrators at the University of Michigan worked with police to investigate, thanks in part to the persistence of Ames and her supervisor, Theo Ross. "The question is, how many universities have such procedures in place that scientists can go and get that kind of support?" says Christine Boesz, former inspector-general for the US National Science Foundation in Arlington, Virginia, and now a consultant on scientific accountability. "Most universities I was familiar with would not necessarily be so responsive."
  • Some labs are known to be hyper-competitive, with principal investigators pitting postdocs against each other. But Ross's lab is a small, collegial place. At the time that Ames was noticing problems, it housed just one other graduate student, a few undergraduates doing projects, and the lab manager, Katherine Oravecz-Wilson, a nine-year veteran of the lab whom Ross calls her "eyes and ears". And then there was Bhrigu, an amiable postdoc who had joined the lab in April 2009.
  • Some people whom Ross consulted with tried to convince her that Ames was hitting a rough patch in her work and looking for someone else to blame. But Ames was persistent, so Ross took the matter to the university's office of regulatory affairs, which advises on a wide variety of rules and regulations pertaining to research and clinical care. Ray Hutchinson, associate dean of the office, and Patricia Ward, its director, had never dealt with anything like it before. After several meetings and two more instances of alcohol in the media, Ward contacted the department of public safety — the university's police force — on 9 March. They immediately launched an investigation — into Ames herself. She endured two interrogations and a lie-detector test before investigators decided to look elsewhere.
  • At 4:00 a.m. on Sunday 18 April, officers installed two cameras in the lab: one in the cold room where Ames's blots had been contaminated, and one above the refrigerator where she stored her media. Ames came in that day and worked until 5:00 p.m. On Monday morning at around 10:15, she found that her medium had been spiked again. When Ross reviewed the tapes of the intervening hours with Richard Zavala, the officer assigned to the case, she says that her heart sank. Bhrigu entered the lab at 9:00 a.m. on Monday and pulled out the culture media that he would use for the day. He then returned to the fridge with a spray bottle of ethanol, usually used to sterilize lab benches. With his back to the camera, he rummaged through the fridge for 46 seconds. Ross couldn't be sure what he was doing, but it didn't look good. Zavala escorted Bhrigu to the campus police department for questioning. When he told Bhrigu about the cameras in the lab, the postdoc asked for a drink of water and then confessed. He said that he had been sabotaging Ames's work since February. (He denies involvement in the December and January incidents.)
  • Misbehaviour in science is nothing new — but its frequency is difficult to measure. Daniele Fanelli at the University of Edinburgh, UK, who studies research misconduct, says that overtly malicious offences such as Bhrigu's are probably infrequent, but other forms of indecency and sabotage are likely to be more common. "A lot more would be the kind of thing you couldn't capture on camera," he says. Vindictive peer review, dishonest reference letters and withholding key aspects of protocols from colleagues or competitors can do just as much to derail a career or a research project as vandalizing experiments. These are just a few of the questionable practices that seem quite widespread in science, but are not technically considered misconduct. In a meta-analysis of misconduct surveys, published last year (D. Fanelli PLoS ONE 4, e5738; 2009), Fanelli found that up to one-third of scientists admit to offences that fall into this grey area, and up to 70% say that they have observed them.
  • Some say that the structure of the scientific enterprise is to blame. The big rewards — tenured positions, grants, papers in stellar journals — are won through competition. To get ahead, researchers need only be better than those they are competing with. That ethos, says Brian Martinson, a sociologist at HealthPartners Research Foundation in Minneapolis, Minnesota, can lead to sabotage. He and others have suggested that universities and funders need to acknowledge the pressures in the research system and try to ease them by means of education and rehabilitation, rather than simply punishing perpetrators after the fact.
  • Bhrigu says that he felt pressure in moving from the small college at Toledo to the much bigger one in Michigan. He says that some criticisms he received from Ross about his incomplete training and his work habits frustrated him, but he doesn't blame his actions on that. "In any kind of workplace there is bound to be some pressure," he says. "I just got jealous of others moving ahead and I wanted to slow them down."
  • At Washtenaw County Courthouse in July, having reviewed the case files, Pollard Hines delivered Bhrigu's sentence. She ordered him to pay around US$8,800 for reagents and experimental materials, plus $600 in court fees and fines — and to serve six months' probation, perform 40 hours of community service and undergo a psychiatric evaluation.
  • But the threat of a worse sentence hung over Bhrigu's head. At the request of the prosecutor, Ross had prepared a more detailed list of damages, including Bhrigu's entire salary, half of Ames's, six months' salary for a technician to help Ames get back up to speed, and a quarter of the lab's reagents. The court arrived at a possible figure of $72,000, with the final amount to be decided upon at a restitution hearing in September.
  • Ross, though, is happy that the ordeal is largely over. For the month-and-a-half of the investigation, she became reluctant to take on new students or to hire personnel. She says she considered packing up her research programme. She even questioned her own sanity, worrying that she was the one sabotaging Ames's work via "an alternate personality". Ross now wonders if she was too trusting, and urges other lab heads to "realize that the whole spectrum of humanity is in your lab. So, when someone complains to you, take it seriously."
  • She also urges others to speak up when wrongdoing is discovered. After Bhrigu pleaded guilty in June, Ross called Trempe at the University of Toledo. He was shocked, of course, and for more than one reason. His department at Toledo had actually re-hired Bhrigu. Bhrigu says that he lied about the reason he left Michigan, blaming it on disagreements with Ross. Toledo let Bhrigu go in July, not long after Ross's call.
  • Now that Bhrigu is in India, there is little to prevent him from getting back into science. And even if he were in the United States, there wouldn't be much to stop him. The National Institutes of Health in Bethesda, Maryland, through its Office of Research Integrity, will sometimes bar an individual from receiving federal research funds for a time if they are found guilty of misconduct. But Bhigru probably won't face that prospect because his actions don't fit the federal definition of misconduct, a situation Ross finds strange. "All scientists will tell you that it's scientific misconduct because it's tampering with data," she says.
  • Ames says that the experience shook her trust in her chosen profession. "I did have doubts about continuing with science. It hurt my idea of science as a community that works together, builds upon each other's work and collaborates."
  • Weiye Loh on 02 Oct 10
     
    Research integrity: Sabotage! Postdoc Vipul Bhrigu destroyed the experiments of a colleague in order to get ahead.
Weiye Loh

Can a group of scientists in California end the war on climate change? | Science | The ... - 0 views

www.guardian.co.uk/...entists-end-climate-change-war

Climate Science Academic Research Data Mining Data Open Source Funding ClimateGate Polarisation Statistics

shared by Weiye Loh on 01 Mar 11 - No Cached
  • Muller calls his latest obsession the Berkeley Earth project. The aim is so simple that the complexity and magnitude of the undertaking is easy to miss. Starting from scratch, with new computer tools and more data than has ever been used, they will arrive at an independent assessment of global warming. The team will also make every piece of data it uses – 1.6bn data points – freely available on a website. It will post its workings alongside, including full information on how more than 100 years of data from thousands of instruments around the world are stitched together to give a historic record of the planet's temperature.
  • Muller is fed up with the politicised row that all too often engulfs climate science. By laying all its data and workings out in the open, where they can be checked and challenged by anyone, the Berkeley team hopes to achieve something remarkable: a broader consensus on global warming. In no other field would Muller's dream seem so ambitious, or perhaps, so naive.
  • "We are bringing the spirit of science back to a subject that has become too argumentative and too contentious," Muller says, over a cup of tea. "We are an independent, non-political, non-partisan group. We will gather the data, do the analysis, present the results and make all of it available. There will be no spin, whatever we find." Why does Muller feel compelled to shake up the world of climate change? "We are doing this because it is the most important project in the world today. Nothing else comes close," he says.
  • ...20 more annotations...
  • There are already three heavyweight groups that could be considered the official keepers of the world's climate data. Each publishes its own figures that feed into the UN's Intergovernmental Panel on Climate Change. Nasa's Goddard Institute for Space Studies in New York City produces a rolling estimate of the world's warming. A separate assessment comes from another US agency, the National Oceanic and Atmospheric Administration (Noaa). The third group is based in the UK and led by the Met Office. They all take readings from instruments around the world to come up with a rolling record of the Earth's mean surface temperature. The numbers differ because each group uses its own dataset and does its own analysis, but they show a similar trend. Since pre-industrial times, all point to a warming of around 0.75C.
  • You might think three groups was enough, but Muller rolls out a list of shortcomings, some real, some perceived, that he suspects might undermine public confidence in global warming records. For a start, he says, warming trends are not based on all the available temperature records. The data that is used is filtered and might not be as representative as it could be. He also cites a poor history of transparency in climate science, though others argue many climate records and the tools to analyse them have been public for years.
  • Then there is the fiasco of 2009 that saw roughly 1,000 emails from a server at the University of East Anglia's Climatic Research Unit (CRU) find their way on to the internet. The fuss over the messages, inevitably dubbed Climategate, gave Muller's nascent project added impetus. Climate sceptics had already attacked James Hansen, head of the Nasa group, for making political statements on climate change while maintaining his role as an objective scientist. The Climategate emails fuelled their protests. "With CRU's credibility undergoing a severe test, it was all the more important to have a new team jump in, do the analysis fresh and address all of the legitimate issues raised by sceptics," says Muller.
  • This latest point is where Muller faces his most delicate challenge. To concede that climate sceptics raise fair criticisms means acknowledging that scientists and government agencies have got things wrong, or at least could do better. But the debate around global warming is so highly charged that open discussion, which science requires, can be difficult to hold in public. At worst, criticising poor climate science can be taken as an attack on science itself, a knee-jerk reaction that has unhealthy consequences. "Scientists will jump to the defence of alarmists because they don't recognise that the alarmists are exaggerating," Muller says.
  • The Berkeley Earth project came together more than a year ago, when Muller rang David Brillinger, a statistics professor at Berkeley and the man Nasa called when it wanted someone to check its risk estimates of space debris smashing into the International Space Station. He wanted Brillinger to oversee every stage of the project. Brillinger accepted straight away. Since the first meeting he has advised the scientists on how best to analyse their data and what pitfalls to avoid. "You can think of statisticians as the keepers of the scientific method, " Brillinger told me. "Can scientists and doctors reasonably draw the conclusions they are setting down? That's what we're here for."
  • For the rest of the team, Muller says he picked scientists known for original thinking. One is Saul Perlmutter, the Berkeley physicist who found evidence that the universe is expanding at an ever faster rate, courtesy of mysterious "dark energy" that pushes against gravity. Another is Art Rosenfeld, the last student of the legendary Manhattan Project physicist Enrico Fermi, and something of a legend himself in energy research. Then there is Robert Jacobsen, a Berkeley physicist who is an expert on giant datasets; and Judith Curry, a climatologist at Georgia Institute of Technology, who has raised concerns over tribalism and hubris in climate science.
  • Robert Rohde, a young physicist who left Berkeley with a PhD last year, does most of the hard work. He has written software that trawls public databases, themselves the product of years of painstaking work, for global temperature records. These are compiled, de-duplicated and merged into one huge historical temperature record. The data, by all accounts, are a mess. There are 16 separate datasets in 14 different formats and they overlap, but not completely. Muller likens Rohde's achievement to Hercules's enormous task of cleaning the Augean stables.
  • The wealth of data Rohde has collected so far – and some dates back to the 1700s – makes for what Muller believes is the most complete historical record of land temperatures ever compiled. It will, of itself, Muller claims, be a priceless resource for anyone who wishes to study climate change. So far, Rohde has gathered records from 39,340 individual stations worldwide.
  • Publishing an extensive set of temperature records is the first goal of Muller's project. The second is to turn this vast haul of data into an assessment on global warming.
  • The big three groups – Nasa, Noaa and the Met Office – work out global warming trends by placing an imaginary grid over the planet and averaging temperatures records in each square. So for a given month, all the records in England and Wales might be averaged out to give one number. Muller's team will take temperature records from individual stations and weight them according to how reliable they are.
  • This is where the Berkeley group faces its toughest task by far and it will be judged on how well it deals with it. There are errors running through global warming data that arise from the simple fact that the global network of temperature stations was never designed or maintained to monitor climate change. The network grew in a piecemeal fashion, starting with temperature stations installed here and there, usually to record local weather.
  • Among the trickiest errors to deal with are so-called systematic biases, which skew temperature measurements in fiendishly complex ways. Stations get moved around, replaced with newer models, or swapped for instruments that record in celsius instead of fahrenheit. The times measurements are taken varies, from say 6am to 9pm. The accuracy of individual stations drift over time and even changes in the surroundings, such as growing trees, can shield a station more from wind and sun one year to the next. Each of these interferes with a station's temperature measurements, perhaps making it read too cold, or too hot. And these errors combine and build up.
  • This is the real mess that will take a Herculean effort to clean up. The Berkeley Earth team is using algorithms that automatically correct for some of the errors, a strategy Muller favours because it doesn't rely on human interference. When the team publishes its results, this is where the scrutiny will be most intense.
  • Despite the scale of the task, and the fact that world-class scientific organisations have been wrestling with it for decades, Muller is convinced his approach will lead to a better assessment of how much the world is warming. "I've told the team I don't know if global warming is more or less than we hear, but I do believe we can get a more precise number, and we can do it in a way that will cool the arguments over climate change, if nothing else," says Muller. "Science has its weaknesses and it doesn't have a stranglehold on the truth, but it has a way of approaching technical issues that is a closer approximation of truth than any other method we have."
  • It might not be a good sign that one prominent climate sceptic contacted by the Guardian, Canadian economist Ross McKitrick, had never heard of the project. Another, Stephen McIntyre, whom Muller has defended on some issues, hasn't followed the project either, but said "anything that [Muller] does will be well done". Phil Jones at the University of East Anglia was unclear on the details of the Berkeley project and didn't comment.
  • Elsewhere, Muller has qualified support from some of the biggest names in the business. At Nasa, Hansen welcomed the project, but warned against over-emphasising what he expects to be the minor differences between Berkeley's global warming assessment and those from the other groups. "We have enough trouble communicating with the public already," Hansen says. At the Met Office, Peter Stott, head of climate monitoring and attribution, was in favour of the project if it was open and peer-reviewed.
  • Peter Thorne, who left the Met Office's Hadley Centre last year to join the Co-operative Institute for Climate and Satellites in North Carolina, is enthusiastic about the Berkeley project but raises an eyebrow at some of Muller's claims. The Berkeley group will not be the first to put its data and tools online, he says. Teams at Nasa and Noaa have been doing this for many years. And while Muller may have more data, they add little real value, Thorne says. Most are records from stations installed from the 1950s onwards, and then only in a few regions, such as North America. "Do you really need 20 stations in one region to get a monthly temperature figure? The answer is no. Supersaturating your coverage doesn't give you much more bang for your buck," he says. They will, however, help researchers spot short-term regional variations in climate change, something that is likely to be valuable as climate change takes hold.
  • Despite his reservations, Thorne says climate science stands to benefit from Muller's project. "We need groups like Berkeley stepping up to the plate and taking this challenge on, because it's the only way we're going to move forwards. I wish there were 10 other groups doing this," he says.
  • Muller's project is organised under the auspices of Novim, a Santa Barbara-based non-profit organisation that uses science to find answers to the most pressing issues facing society and to publish them "without advocacy or agenda". Funding has come from a variety of places, including the Fund for Innovative Climate and Energy Research (funded by Bill Gates), and the Department of Energy's Lawrence Berkeley Lab. One donor has had some climate bloggers up in arms: the man behind the Charles G Koch Charitable Foundation owns, with his brother David, Koch Industries, a company Greenpeace called a "kingpin of climate science denial". On this point, Muller says the project has taken money from right and left alike.
  • No one who spoke to the Guardian about the Berkeley Earth project believed it would shake the faith of the minority who have set their minds against global warming. "As new kids on the block, I think they will be given a favourable view by people, but I don't think it will fundamentally change people's minds," says Thorne. Brillinger has reservations too. "There are people you are never going to change. They have their beliefs and they're not going to back away from them."
yongernn teo

Ethics and Values Case Study- Mercy Killing, Euthanasia - 8 views

www.brainmass.com/...86151

Euthanasia

shared by yongernn teo on 21 Oct 09 - Cached
  • yongernn teo on 21 Oct 09
     
    THE ETHICAL PROBLEM: Allowing someone to die, mercy death, and mercy killing, Euthanasia: A 24-year-old man named Robert who has a wife and child is paralyzed from the neck down in a motorcycle accident. He has always been very active and hates the idea of being paralyzed. He also is in a great deal of pain, an he has asked his doctors and other members of his family to "put him out of his misery." After several days of such pleading, his brother comes into Robert's hospital ward and asks him if he is sure he still wants to be put out of his misery. Robert says yes and pleads with his brother to kill him. The brother kisses and blesses Robert, then takes out a gun and shoots him, killing him instantly. The brother later is tried for murder and acquitted by reason of temporary insanity. Was what Robert's brother did moral? Do you think he should have been brought to trial at all? Do you think he should have been acquitted? Would you do the same for a loved one if you were asked? THE DISCUSSION: In my opinion, the most dubious part about the case would be the part on Robert pleading with his brother, asking his brother to kill him. This could be his brother's own account of the incident and could/could not have been a plea by Robert. 1) With assumption that Robert indeed pleaded with his brother to kill him, an ethical analysis as such could be derived: That Robert's brother was only respecting Robert's choice and killed him because he wanted to relieve him from his misery. This could be argued to be ethical using a teleoloigical framework where the focus is on the end-result and the consequences that entails the action. Here, although the act of killing per se may be wrong and illegal, Robert was able to relieved of his pain and suffering. 2) With an assumption that Robert did not plea with his brother to kill him and that it was his brother's own decision to relieve Robert of all-suffering: In this case, the b
  • ...2 more comments...
  • Elaine Ong on 22 Oct 09
     
    I find euthanasia to be a very interesting ethical dilemma. Even I myself am caught in the middle. Euthanasia has been termed as 'mercy killing' and even 'happy death'. Others may simply just term it as being 'evil'. Is it right to end someone's life even when he or she pleads you to do so? In the first place, is it even right to commit suicide? Once someone pulls off the main support that's keeping the person alive, such as the feeding tube, there is no turning back. Hmm..Come to think of it, technology is kind of unethical by being made available, for in the past, when someone is dying, they had the right to die naturally. Now, scientific technology is 'forcing' us to stay alive and cling on to a life that may be deemed being worthless if we were standing outside our bodies looking at our comatose selves. Then again, this may just be MY personal standpoint. But I have to argue, who gave technology the right to make me a worthless vegetable!(and here I am, attaching a value/judgement onto an immobile human being..) Hence, being incompetent in making decisions for my unconscious self (or perhaps even brain dead), who should take responsibility for my life, for my existence? And on what basis are they allowed to help me out? Taking the other side of the argument, against euthanasia, we can say that the act of ending someone else's life is the act of destroying societal respect for life. Based on the utilitarian perspective, we are not thinking of the overall beneficence for society and disregarding the moral considerations encompassed within the state's interest to preserve the sanctity of all life. It has been said that life in itself takes priority over all other values. We should let the person live so as to give him/her a chance to wake up or hope for recovery (think comatose patients). But then again we can also argue that life is not the top of the hierarchy! A life without rights is as if not living a life at all? By removing the patient
  • juliet huang on 28 Oct 09
     
    as a human being, you supposedly have a right to live, whether you are mobile or immobile. however, i think that, in the case of euthanasia, you 'give up' your rights when you "show" that you are no longer able to serve the pre-requisites of having the right. for example, if "living" rights are equate to you being able to talk, walk, etc etc, then, obviously the opposite means you no longer are able to perform up to the expectations of that right. then again, it is very subjective as to who gets to make that criteria!
  • Magdaleine on 02 Nov 09
     
    hmm interesting.. however, a question i have is who and when can this "right" be "given up"? when i am a victim in a car accident, and i lost the ability to breathe, walk and may need months to recover. i am unconscious and the doctor is unable to determine when am i gonna regain consciousness. when should my parents decide i can no longer be able to have any living rights? and taking elaine's point into consideration, is committing suicide even 'right'? if it is legally not right, when i ask someone to take my life and wrote a letter that it was cus i wanted to die, does that make it committing suicide only in the hands of others?
  • Low Yunying on 04 Nov 09
     
    Similarly, I question the 'rights' that you have to 'give up' when you no longer 'serve the pre-requisites of having the right'. If the living rights means being able to talk and walk, then where does it leave infants? Where does it leave people who may be handicapped? Have their lost their rights to living?
Weiye Loh

Arsenic bacteria - a post-mortem, a review, and some navel-gazing | Not Exactly Rocket ... - 0 views

blogs.discovermagazine.com/...a-review-and-some-navel-gazing

Journalism Ethics Science Biology

shared by Weiye Loh on 11 Dec 10 - No Cached
  • t was the big news that wasn’t. Hyperbolic claims about the possible discovery of alien life, or a second branch of life on Earth, turned out to be nothing more than bacteria that can thrive on arsenic, using it in place of phosphorus in their DNA and other molecules. But after the initial layers of hype were peeled away, even this extraordinar
  • This is a chronological roundup of the criticism against the science in the paper itself, ending with some personal reflections on my own handling of the story (skip to Friday, December 10th for that bit).
  • Thursday, December 2nd: Felisa Wolfe-Simon published a paper in Science, claiming to have found bacteria in California’s Mono Lake that can grow using arsenic instead of phosphorus. Given that phosphorus is meant to be one of six irreplaceable elements, this would have been a big deal, not least because the bacteria apparently used arsenic to build the backbones of their DNA molecules.
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  • In my post, I mentioned some caveats. Wolfe-Simon isolated the arsenic-loving strain, known as GFAJ-1, by growing Mono Lake bacteria in ever-increasing concentrations of arsenic while diluting out the phosphorus. It is possible that the bacteria’s arsenic molecules were an adaptation to the harsh environments within the experiment, rather than Mono Lake itself. More importantly, there were still detectable levels of phosphorus left in the cells at the end of the experiment, although Wolfe-Simon claimed that the bacteria shouldn’t have been able to grow on such small amounts.
  • signs emerged that NASA weren’t going to engage with the criticisms. Dwayne Brown, their senior public affairs officer, highlighted the fact that the paper was published in one of the “most prestigious scientific journals” and deemed it inappropriate to debate the science using the same media and bloggers who they relied on for press coverage of the science. Wolfe-Simon herself tweeted that “discussion about scientific details MUST be within a scientific venue so that we can come back to the public with a unified understanding.”
  • Jonathan Eisen says that “they carried out science by press release and press conference” and “are now hypocritical if they say that the only response should be in the scientific literature.” David Dobbs calls the attitude “a return to pre-Enlightenment thinking”, and rightly noted that “Rosie Redfield is a peer, and her blog is peer review”.
  • Chris Rowan agreed, saying that what happens after publication is what he considers to be “real peer review”. Rowan said, “The pre-publication stuff is just a quality filter, a check that the paper is not obviously wrong – and an imperfect filter at that. The real test is what happens in the months and years after publication.”Grant Jacobs and others post similar thoughts, while Nature and the Columbia Journalism Review both cover the fracas.
  • Jack Gilbert at the University of Chicago said that impatient though he is, peer-reviewed journals are the proper forum for criticism. Others were not so kind. At the Guardian, Martin Robbins says that “at almost every stage of this story the actors involved were collapsing under the weight of their own slavish obedience to a fundamentally broken… well… ’system’” And Ivan Oransky noted that NASA failed to follow its own code of conduct when announcing the study.
  • Dr Isis said, “If question remains about the voracity of these authors findings, then the only thing that is going to answer that doubt is data.  Data cannot be generated by blog discussion… Talking about digging a ditch never got it dug.”
  • it is astonishing how quickly these events unfolded and the sheer number of bloggers and media outlets that became involved in the criticism. This is indeed a brave new world, and one in which we are all the infamous Third Reviewer.
  • I tried to quell the hype around the study as best I could. I had the paper and I think that what I wrote was a fair representation of it. But, of course, that’s not necessarily enough. I’ve argued before that journalists should not be merely messengers – we should make the best possible efforts to cut through what’s being said in an attempt to uncover what’s actually true. Arguably, that didn’t happen although to clarify, I am not saying that the paper is rubbish or untrue. Despite the criticisms, I want to see the authors respond in a thorough way or to see another lab attempt replicate the experiments before jumping to conclusions.
  • the sheer amount of negative comment indicates that I could have been more critical of the paper in my piece. Others have been supportive in suggesting that this was more egg on the face of the peer reviewers and indeed, several practicing scientists took the findings on face value, speculating about everything from the implications for chemotherapy to whether the bacteria have special viruses. The counter-argument, which I have no good retort to, is that peer review is no guarantee of quality, and that writers should be able to see through the fog of whatever topic they write about.
  • my response was that we should expect people to make reasonable efforts to uncover truth and be skeptical, while appreciating that people can and will make mistakes.
  • it comes down to this: did I do enough? I was certainly cautious. I said that “there is room for doubt” and I brought up the fact that the arsenic-loving bacteria still contain measurable levels of phosphorus. But I didn’t run the paper past other sources for comment, which I typically do it for stories that contain extraordinary claims. There was certainly plenty of time to do so here and while there were various reasons that I didn’t, the bottom line is that I could have done more. That doesn’t always help, of course, but it was an important missed step. A lesson for next time.
  • I do believe that it you’re going to try to hold your profession to a higher standard, you have to be honest and open when you’ve made mistakes yourself. I also think that if you cover a story that turns out to be a bit dodgy, you have a certain responsibility in covering the follow-up
  • A basic problem with is the embargo. Specifically that journalists get early access, while peers – other specialists in the field – do not. It means that the journalist, like yourself, can rely only on the original authors, with no way of getting other views on the findings. And it means that peers can’t write about the paper when the journalists (who, inevitably, do a positive-only coverage due to the lack of other viewpoints) do, but will be able to voice only after they’ve been able to digest the paper and formulate a response.
  • No, that’s not true. The embargo doens’t preclude journalists from sending papers out to other authors for review and comment. I do this a lot and I have been critical about new papers as a result, but that’s the step that I missed for this story.
Weiye Loh

Religion: Faith in science : Nature News - 0 views

www.nature.com/...470323a.html

Science Religion Faith Funding Academic Academic Research

shared by Weiye Loh on 18 Feb 11 - No Cached
  • The Templeton Foundation claims to be a friend of science. So why does it make so many researchers uneasy?
  • With a current endowment estimated at US$2.1 billion, the organization continues to pursue Templeton's goal of building bridges between science and religion. Each year, it doles out some $70 million in grants, more than $40 million of which goes to research in fields such as cosmology, evolutionary biology and psychology.
  • however, many scientists find it troubling — and some see it as a threat. Jerry Coyne, an evolutionary biologist at the University of Chicago, Illinois, calls the foundation "sneakier than the creationists". Through its grants to researchers, Coyne alleges, the foundation is trying to insinuate religious values into science. "It claims to be on the side of science, but wants to make faith a virtue," he says.
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  • But other researchers, both with and without Templeton grants, say that they find the foundation remarkably open and non-dogmatic. "The Templeton Foundation has never in my experience pressured, suggested or hinted at any kind of ideological slant," says Michael Shermer, editor of Skeptic, a magazine that debunks pseudoscience, who was hired by the foundation to edit an essay series entitled 'Does science make belief in God obsolete?'
  • The debate highlights some of the challenges facing the Templeton Foundation after the death of its founder in July 2008, at the age of 95.
  • With the help of a $528-million bequest from Templeton, the foundation has been radically reframing its research programme. As part of that effort, it is reducing its emphasis on religion to make its programmes more palatable to the broader scientific community. Like many of his generation, Templeton was a great believer in progress, learning, initiative and the power of human imagination — not to mention the free-enterprise system that allowed him, a middle-class boy from Winchester, Tennessee, to earn billions of dollars on Wall Street. The foundation accordingly allocates 40% of its annual grants to programmes with names such as 'character development', 'freedom and free enterprise' and 'exceptional cognitive talent and genius'.
  • Unlike most of his peers, however, Templeton thought that the principles of progress should also apply to religion. He described himself as "an enthusiastic Christian" — but was also open to learning from Hinduism, Islam and other religious traditions. Why, he wondered, couldn't religious ideas be open to the type of constructive competition that had produced so many advances in science and the free market?
  • That question sparked Templeton's mission to make religion "just as progressive as medicine or astronomy".
  • Early Templeton prizes had nothing to do with science: the first went to the Catholic missionary Mother Theresa of Calcutta in 1973.
  • By the 1980s, however, Templeton had begun to realize that fields such as neuroscience, psychology and physics could advance understanding of topics that are usually considered spiritual matters — among them forgiveness, morality and even the nature of reality. So he started to appoint scientists to the prize panel, and in 1985 the award went to a research scientist for the first time: Alister Hardy, a marine biologist who also investigated religious experience. Since then, scientists have won with increasing frequency.
  • "There's a distinct feeling in the research community that Templeton just gives the award to the most senior scientist they can find who's willing to say something nice about religion," says Harold Kroto, a chemist at Florida State University in Tallahassee, who was co-recipient of the 1996 Nobel Prize in Chemistry and describes himself as a devout atheist.
  • Yet Templeton saw scientists as allies. They had what he called "the humble approach" to knowledge, as opposed to the dogmatic approach. "Almost every scientist will agree that they know so little and they need to learn," he once said.
  • Templeton wasn't interested in funding mainstream research, says Barnaby Marsh, the foundation's executive vice-president. Templeton wanted to explore areas — such as kindness and hatred — that were not well known and did not attract major funding agencies. Marsh says Templeton wondered, "Why is it that some conflicts go on for centuries, yet some groups are able to move on?"
  • Templeton's interests gave the resulting list of grants a certain New Age quality (See Table 1). For example, in 1999 the foundation gave $4.6 million for forgiveness research at the Virginia Commonwealth University in Richmond, and in 2001 it donated $8.2 million to create an Institute for Research on Unlimited Love (that is, altruism and compassion) at Case Western Reserve University in Cleveland, Ohio. "A lot of money wasted on nonsensical ideas," says Kroto. Worse, says Coyne, these projects are profoundly corrupting to science, because the money tempts researchers into wasting time and effort on topics that aren't worth it. If someone is willing to sell out for a million dollars, he says, "Templeton is there to oblige him".
  • At the same time, says Marsh, the 'dean of value investing', as Templeton was known on Wall Street, had no intention of wasting his money on junk science or unanswerables such as whether God exists. So before pursuing a scientific topic he would ask his staff to get an assessment from appropriate scholars — a practice that soon evolved into a peer-review process drawing on experts from across the scientific community.
  • Because Templeton didn't like bureaucracy, adds Marsh, the foundation outsourced much of its peer review and grant giving. In 1996, for example, it gave $5.3 million to the American Association for the Advancement of Science (AAAS) in Washington DC, to fund efforts that work with evangelical groups to find common ground on issues such as the environment, and to get more science into seminary curricula. In 2006, Templeton gave $8.8 million towards the creation of the Foundational Questions Institute (FQXi), which funds research on the origins of the Universe and other fundamental issues in physics, under the leadership of Anthony Aguirre, an astrophysicist at the University of California, Santa Cruz, and Max Tegmark, a cosmologist at the Massachusetts Institute of Technology in Cambridge.
  • But external peer review hasn't always kept the foundation out of trouble. In the 1990s, for example, Templeton-funded organizations gave book-writing grants to Guillermo Gonzalez, an astrophysicist now at Grove City College in Pennsylvania, and William Dembski, a philosopher now at the Southwestern Baptist Theological Seminary in Fort Worth, Texas. After obtaining the grants, both later joined the Discovery Institute — a think-tank based in Seattle, Washington, that promotes intelligent design. Other Templeton grants supported a number of college courses in which intelligent design was discussed. Then, in 1999, the foundation funded a conference at Concordia University in Mequon, Wisconsin, in which intelligent-design proponents confronted critics. Those awards became a major embarrassment in late 2005, during a highly publicized court fight over the teaching of intelligent design in schools in Dover, Pennsylvania. A number of media accounts of the intelligent design movement described the Templeton Foundation as a major supporter — a charge that Charles Harper, then senior vice-president, was at pains to deny.
  • Some foundation officials were initially intrigued by intelligent design, Harper told The New York Times. But disillusionment set in — and Templeton funding stopped — when it became clear that the theory was part of a political movement from the Christian right wing, not science. Today, the foundation website explicitly warns intelligent-design researchers not to bother submitting proposals: they will not be considered.
  • Avowedly antireligious scientists such as Coyne and Kroto see the intelligent-design imbroglio as a symptom of their fundamental complaint that religion and science should not mix at all. "Religion is based on dogma and belief, whereas science is based on doubt and questioning," says Coyne, echoing an argument made by many others. "In religion, faith is a virtue. In science, faith is a vice." The purpose of the Templeton Foundation is to break down that wall, he says — to reconcile the irreconcilable and give religion scholarly legitimacy.
  • Foundation officials insist that this is backwards: questioning is their reason for being. Religious dogma is what they are fighting. That does seem to be the experience of many scientists who have taken Templeton money. During the launch of FQXi, says Aguirre, "Max and I were very suspicious at first. So we said, 'We'll try this out, and the minute something smells, we'll cut and run.' It never happened. The grants we've given have not been connected with religion in any way, and they seem perfectly happy about that."
  • John Cacioppo, a psychologist at the University of Chicago, also had concerns when he started a Templeton-funded project in 2007. He had just published a paper with survey data showing that religious affiliation had a negative correlation with health among African-Americans — the opposite of what he assumed the foundation wanted to hear. He was bracing for a protest when someone told him to look at the foundation's website. They had displayed his finding on the front page. "That made me relax a bit," says Cacioppo.
  • Yet, even scientists who give the foundation high marks for openness often find it hard to shake their unease. Sean Carroll, a physicist at the California Institute of Technology in Pasadena, is willing to participate in Templeton-funded events — but worries about the foundation's emphasis on research into 'spiritual' matters. "The act of doing science means that you accept a purely material explanation of the Universe, that no spiritual dimension is required," he says.
  • It hasn't helped that Jack Templeton is much more politically and religiously conservative than his father was. The foundation shows no obvious rightwards trend in its grant-giving and other activities since John Templeton's death — and it is barred from supporting political activities by its legal status as a not-for-profit corporation. Still, many scientists find it hard to trust an organization whose president has used his personal fortune to support right-leaning candidates and causes such as the 2008 ballot initiative that outlawed gay marriage in California.
  • Scientists' discomfort with the foundation is probably inevitable in the current political climate, says Scott Atran, an anthropologist at the University of Michigan in Ann Arbor. The past 30 years have seen the growing power of the Christian religious right in the United States, the rise of radical Islam around the world, and religiously motivated terrorist attacks such as those in the United States on 11 September 2001. Given all that, says Atran, many scientists find it almost impossible to think of religion as anything but fundamentalism at war with reason.
  • the foundation has embraced the theme of 'science and the big questions' — an open-ended list that includes topics such as 'Does the Universe have a purpose?'
  • Towards the end of Templeton's life, says Marsh, he became increasingly concerned that this reaction was getting in the way of the foundation's mission: that the word 'religion' was alienating too many good scientists.
  • The peer-review and grant-making system has also been revamped: whereas in the past the foundation ran an informal mix of projects generated by Templeton and outside grant seekers, the system is now organized around an annual list of explicit funding priorities.
  • The foundation is still a work in progress, says Jack Templeton — and it always will be. "My father believed," he says, "we were all called to be part of an ongoing creative process. He was always trying to make people think differently." "And he always said, 'If you're still doing today what you tried to do two years ago, then you're not making progress.'" 
Weiye Loh

Rationally Speaking: Is modern moral philosophy still in thrall to religion? - 0 views

rationallyspeaking.blogspot.com/...moral-philosophy-still-in.html

Ethics Virtue Ethics Utilitarianism Deontology Religion

shared by Weiye Loh on 13 Mar 11 - No Cached
  • Recently I re-read Richard Taylor’s An Introduction to Virtue Ethics, a classic published by Prometheus
  • Taylor compares virtue ethics to the other two major approaches to moral philosophy: utilitarianism (a la John Stuart Mill) and deontology (a la Immanuel Kant). Utilitarianism, of course, is roughly the idea that ethics has to do with maximizing pleasure and minimizing pain; deontology is the idea that reason can tell us what we ought to do from first principles, as in Kant’s categorical imperative (e.g., something is right if you can agree that it could be elevated to a universally acceptable maxim).
  • Taylor argues that utilitarianism and deontology — despite being wildly different in a variety of respects — share one common feature: both philosophies assume that there is such a thing as moral right and wrong, and a duty to do right and avoid wrong. But, he says, on the face of it this is nonsensical. Duty isn’t something one can have in the abstract, duty is toward a law or a lawgiver, which begs the question of what could arguably provide us with a universal moral law, or who the lawgiver could possibly be.
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  • His answer is that both utilitarianism and deontology inherited the ideas of right, wrong and duty from Christianity, but endeavored to do without Christianity’s own answers to those questions: the law is given by God and the duty is toward Him. Taylor says that Mill, Kant and the like simply absorbed the Christian concept of morality while rejecting its logical foundation (such as it was). As a result, utilitarians and deontologists alike keep talking about the right thing to do, or the good as if those concepts still make sense once we move to a secular worldview. Utilitarians substituted pain and pleasure for wrong and right respectively, and Kant thought that pure reason can arrive at moral universals. But of course neither utilitarians nor deontologist ever give us a reason why it would be irrational to simply decline to pursue actions that increase global pleasure and diminish global pain, or why it would be irrational for someone not to find the categorical imperative particularly compelling.
  • The situation — again according to Taylor — is dramatically different for virtue ethics. Yes, there too we find concepts like right and wrong and duty. But, for the ancient Greeks they had completely different meanings, which made perfect sense then and now, if we are not mislead by the use of those words in a different context. For the Greeks, an action was right if it was approved by one’s society, wrong if it wasn’t, and duty was to one’s polis. And they understood perfectly well that what was right (or wrong) in Athens may or may not be right (or wrong) in Sparta. And that an Athenian had a duty to Athens, but not to Sparta, and vice versa for a Spartan.
  • But wait a minute. Does that mean that Taylor is saying that virtue ethics was founded on moral relativism? That would be an extraordinary claim indeed, and he does not, in fact, make it. His point is a bit more subtle. He suggests that for the ancient Greeks ethics was not (principally) about right, wrong and duty. It was about happiness, understood in the broad sense of eudaimonia, the good or fulfilling life. Aristotle in particular wrote in his Ethics about both aspects: the practical ethics of one’s duty to one’s polis, and the universal (for human beings) concept of ethics as the pursuit of the good life. And make no mistake about it: for Aristotle the first aspect was relatively trivial and understood by everyone, it was the second one that represented the real challenge for the philosopher.
  • For instance, the Ethics is famous for Aristotle’s list of the virtues (see Table), and his idea that the right thing to do is to steer a middle course between extreme behaviors. But this part of his work, according to Taylor, refers only to the practical ways of being a good Athenian, not to the universal pursuit of eudaimonia. Vice of Deficiency Virtuous Mean Vice of Excess Cowardice Courage Rashness Insensibility Temperance Intemperance Illiberality Liberality Prodigality Pettiness Munificence Vulgarity Humble-mindedness High-mindedness Vaingloriness Want of Ambition Right Ambition Over-ambition Spiritlessness Good Temper Irascibility Surliness Friendly Civility Obsequiousness Ironical Depreciation Sincerity Boastfulness Boorishness Wittiness Buffoonery</t
  • How, then, is one to embark on the more difficult task of figuring out how to live a good life? For Aristotle eudaimonia meant the best kind of existence that a human being can achieve, which in turns means that we need to ask what it is that makes humans different from all other species, because it is the pursuit of excellence in that something that provides for a eudaimonic life.
  • Now, Plato - writing before Aristotle - ended up construing the good life somewhat narrowly and in a self-serving fashion. He reckoned that the thing that distinguishes humanity from the rest of the biological world is our ability to use reason, so that is what we should be pursuing as our highest goal in life. And of course nobody is better equipped than a philosopher for such an enterprise... Which reminds me of Bertrand Russell’s quip that “A process which led from the amoeba to man appeared to the philosophers to be obviously a progress, though whether the amoeba would agree with this opinion is not known.”
  • But Aristotle's conception of "reason" was significantly broader, and here is where Taylor’s own update of virtue ethics begins to shine, particularly in Chapter 16 of the book, aptly entitled “Happiness.” Taylor argues that the proper way to understand virtue ethics is as the quest for the use of intelligence in the broadest possible sense, in the sense of creativity applied to all walks of life. He says: “Creative intelligence is exhibited by a dancer, by athletes, by a chess player, and indeed in virtually any activity guided by intelligence [including — but certainly not limited to — philosophy].” He continues: “The exercise of skill in a profession, or in business, or even in such things as gardening and farming, or the rearing of a beautiful family, all such things are displays of creative intelligence.”
  • what we have now is a sharp distinction between utilitarianism and deontology on the one hand and virtue ethics on the other, where the first two are (mistakenly, in Taylor’s assessment) concerned with the impossible question of what is right or wrong, and what our duties are — questions inherited from religion but that in fact make no sense outside of a religious framework. Virtue ethics, instead, focuses on the two things that really matter and to which we can find answers: the practical pursuit of a life within our polis, and the lifelong quest of eudaimonia understood as the best exercise of our creative faculties
  • &gt; So if one's profession is that of assassin or torturer would being the best that you can be still be your duty and eudaimonic? And what about those poor blighters who end up with an ugly family? &lt;Aristotle's philosophy is ver much concerned with virtue, and being an assassin or a torturer is not a virtue, so the concept of a eudaimonic life for those characters is oxymoronic. As for ending up in a "ugly" family, Aristotle did write that eudaimonia is in part the result of luck, because it is affected by circumstances.
  • &gt; So to the title question of this post: "Is modern moral philosophy still in thrall to religion?" one should say: Yes, for some residual forms of philosophy and for some philosophers &lt;That misses Taylor's contention - which I find intriguing, though I have to give it more thought - that *all* modern moral philosophy, except virtue ethics, is in thrall to religion, without realizing it.
  • “The exercise of skill in a profession, or in business, or even in such things as gardening and farming, or the rearing of a beautiful family, all such things are displays of creative intelligence.”So if one's profession is that of assassin or torturer would being the best that you can be still be your duty and eudaimonic? And what about those poor blighters who end up with an ugly family?
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