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Weiye Loh

gladwell dot com - something borrowed - 0 views

gladwell.com/...2004_11_25_a_borrowed.html

Copyright

shared by Weiye Loh on 19 May 11 - Cached
  • Intellectual-property doctrine isn't a straightforward application of the ethical principle "Thou shalt not steal." At its core is the notion that there are certain situations where you can steal. The protections of copyright, for instance, are time-limited; once something passes into the public domain, anyone can copy it without restriction. Or suppose that you invented a cure for breast cancer in your basement lab. Any patent you received would protect your intellectual property for twenty years, but after that anyone could take your invention.
  • You get an initial monopoly on your creation because we want to provide economic incentives for people to invent things like cancer drugs. But everyone gets to steal your breast-cancer cure—after a decent interval—because it is also in society's interest to let as many people as possible copy your invention; only then can others learn from it, and build on it, and come up with better and cheaper alternatives. This balance between the protecting and the limiting of intellectual property
  • Stanford law professor Lawrence Lessig argues in his new book "Free Culture": In ordinary language, to call a copyright a "property" right is a bit misleading, for the property of copyright is an odd kind of property. . . . I understand what I am taking when I take the picnic table you put in your backyard. I am taking a thing, the picnic table, and after I take it, you don't have it. But what am I taking when I take the good idea you had to put a picnic table in the backyard—by, for example, going to Sears, buying a table, and putting it in my backyard? What is the thing that I am taking then? The point is not just about the thingness of picnic tables versus ideas, though that is an important difference. The point instead is that in the ordinary case—indeed, in practically every case except for a narrow range of exceptions—ideas released to the world are free. I don't take anything from you when I copy the way you dress—though I might seem weird if I do it every day. . . . Instead, as Thomas Jefferson said (and this is especially true when I copy the way someone dresses), "He who receives an idea from me, receives instruction himself without lessening mine; as he who lights his taper at mine, receives light without darkening me."
  • ...5 more annotations...
  • Lessig argues that, when it comes to drawing this line between private interests and public interests in intellectual property, the courts and Congress have, in recent years, swung much too far in the direction of private interests.
  • We could have sat in his living room playing at musical genealogy for hours. Did the examples upset him? Of course not, because he knew enough about music to know that these patterns of influence—cribbing, tweaking, transforming—were at the very heart of the creative process.
  • True, copying could go too far. There were times when one artist was simply replicating the work of another, and to let that pass inhibited true creativity. But it was equally dangerous to be overly vigilant in policing creative expression, because if Led Zeppelin hadn't been free to mine the blues for inspiration we wouldn't have got "Whole Lotta Love," and if Kurt Cobain couldn't listen to "More Than a Feeling" and pick out and transform the part he really liked we wouldn't have "Smells Like Teen Spirit"—and, in the evolution of rock, "Smells Like Teen Spirit" was a real step forward from "More Than a Feeling." A successful music executive has to understand the distinction between borrowing that is transformative and borrowing that is merely derivative, and that distinction, I realized, was what was missing from the discussion of Bryony Lavery's borrowings. Yes, she had copied my work. But no one was asking why she had copied it, or what she had copied, or whether her copying served some larger purpose.
  • It also matters how Lavery chose to use my words. Borrowing crosses the line when it is used for a derivative work. It's one thing if you're writing a history of the Kennedys, like Doris Kearns Goodwin, and borrow, without attribution, from another history of the Kennedys. But Lavery wasn't writing another profile of Dorothy Lewis. She was writing a play about something entirely new—about what would happen if a mother met the man who killed her daughter. And she used my descriptions of Lewis's work and the outline of Lewis's life as a building block in making that confrontation plausible.
  • this is the second problem with plagiarism. It is not merely extremist. It has also become disconnected from the broader question of what does and does not inhibit creativity. We accept the right of one writer to engage in a full-scale knockoff of another—think how many serial-killer novels have been cloned from "The Silence of the Lambs." Yet, when Kathy Acker incorporated parts of a Harold Robbins sex scene verbatim in a satiric novel, she was denounced as a plagiarist (and threatened with a lawsuit)
  • Weiye Loh on 19 May 11
     
    Under copyright law, what matters is not that you copied someone else's work. What matters is what you copied, and how much you copied.
Meenatchi

China jails Windows software pirates - 8 views

Case Summary: The article is about an intellectual property infringement that took place in China. A court in Eastern China has sentenced four people to up to three-and-a-half years in prison for ...

Intellectual property rights software piracy

started by Meenatchi on 25 Aug 09 no follow-up yet
Jody Poh

U.S. students fight copyright law - 9 views

http://www.nytimes.com/2007/10/11/technology/11iht-download.1.7846678.html?scp=20&sq=copyright&st=Search A student previously fined for breaking copyright laws at Brown University on Rhode Island ...

copyright :file sharing" "Intellectual property rights"

started by Jody Poh on 25 Aug 09 no follow-up yet
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.
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  • 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 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.
  • ...21 more annotations...
  • 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

Everything is a Remix Part 4 on Vimeo - 0 views

vimeo.com/36881035

Creativity Law Regulation Remix Culture

shared by Weiye Loh on 24 Feb 12 - No Cached
  • Weiye Loh on 24 Feb 12
     
    Our system of law doesn't acknowledge the derivative nature of creativity. Instead, ideas are regarded as property, as unique and original lots with distinct boundaries. But ideas aren't so tidy. They're layered, they're interwoven, they're tangled. And when the system conflicts with the reality... the system starts to fail.
Weiye Loh

Does patent/ copyright stifle or promote innovation? - 6 views

From a Critical Ethic perspective, Who do patents and copyrights protect? What kind of ideologies underly such a policy? I would argue that it is the capitalist ideologies, individualist ideolo...

MS Word patent copyright

started by Weiye Loh on 20 Aug 09 1 follow-up, last by Weiye Loh on 20 Aug 09
Jude John

What's so Original in Academic Research? - 26 views

Thanks for your comments. I may have appeared to be contradictory, but what I really meant was that ownership of IP should not be a motivating factor to innovate. I realise that in our capitalistic...

started by Weiye Loh on 21 Aug 09 4 follow-ups, last by Jude John on 25 Aug 09
Low Yunying

Pirate Party wins surprise Euro seat, calls for Web freedom - 3 views

Case study: Link: http://edition.cnn.com/2009/WORLD/europe/06/08/pirate.party.eu.win/index.html Summary: A Swedish political party campaigning the legalizing of file-sharing on the Internet won ...

copyright digital rights file sharing

started by Low Yunying on 25 Aug 09 no follow-up yet
juliet huang

Go slow with Net law - 4 views

Article : Go slow with tech law Published : 23 Aug 2009 Source: Straits Times Background : When Singapore signed a free trade agreement with the USA in 2003, intellectual property rights was a ...

sim lim square

started by juliet huang on 26 Aug 09 no follow-up yet
Weiye Loh

Roger Pielke Jr.'s Blog: Innovation in Drug Development: An Inverse Moore's Law? - 0 views

rogerpielkejr.blogspot.com/...-drug-development-inverse.html

Drugs Science Innovation Policy

shared by Weiye Loh on 10 Feb 11 - No Cached
  • Today's FT has this interesting graph and an accompanying story, showing a sort of inverse Moore's Law of drug development.  Over almost 60 years the number of new drugs developed per unit of investment has declined in a fairly constant manner, and some drug companies are now slashing their R&D budgets.
  • why this trend has occurred.  The FT points to a combination of low-hanging fruit that has been plucked and increasing costs of drug development. To some observers, that reflects the end of the mid to late 20th century golden era for drug discovery, when first-generation medicines such as antibiotics and beta-blockers to treat high blood pressure transformed healthcare. At the same time, regulatory demands to prove safety and efficacy have grown firmer. The result is larger and more costly clinical trials, and high failure rates for experimental drugs.
  • Others point to flawed innovation policies in industry and governments: “The markets treat drug companies as though research and development spending destroys value,” says Jack Scannell, an analyst at Bernstein Research. “People have stopped distinguishing the good from the bad. All those which performed well returned cash to shareholders. Unless the industry can articulate what the problem is, I don’t expect that to change.”
  • ...6 more annotations...
  • Mr [Andrew] Baum [of Morgan Stanley] argues that the solution for drug companies is to share the risks of research with others. That means reducing in-house investment in research, and instead partnering and licensing experimental medicines from smaller companies after some of the early failures have been eliminated.
  • Chas Bountra of Oxford university calls for a more radical partnership combining industry and academic research. “What we are trying to do is just too difficult,” he says. “No one organisation can do it, so we have to pool resources and expertise.” He suggests removing intellectual property rights until a drug is in mid-stage testing in humans, which would make academics more willing to co-operate because they could publish their results freely. The sharing of data would enable companies to avoid duplicating work.
  • The challenge is for academia and biotech companies to fill the research gap. Mr Ratcliffe argues that after a lull in 2009 and 2010, private capital is returning to the sector – as demonstrated by a particular buzz at JPMorgan’s new year biotech conference in California.
  • Patrick Vallance, senior vice-president for discovery at GSK, is cautious about deferring patents until so late, arguing that drug companies need to be able to protect their intellectual property in order to fund expensive late-stage development. But he too is experimenting with ways to co-operate more closely with academics over longer periods. He is also championing the “externalisation” of the company’s pipeline, with biotech and university partners accounting for half the total. GSK has earmarked £50m to support fledgling British companies, many “wrapped around” the group’s sites. One such example is Convergence, a spin-out from a GSK lab researching pain relief.
  • Big pharmaceutical companies are scrambling to find ways to overcome the loss of tens of billions of dollars in revenue as patents on top-selling drugs run out. Many sound similar notes about encouraging entrepreneurialism in their ranks, making smart deals and capitalizing on emerging-market growth, But their actual plans are often quite different—and each carries significant risks. Novartis AG, for instance, is so convinced that diversification is the best course that the company has a considerable business selling low-priced generics. Meantime, Bristol-Myers Squibb Co. has decided to concentrate on innovative medicines, shedding so many nonpharmaceutical units that it' has become midsize. GlaxoSmithKline PLC is still investing in research, but like Pfizer it has narrowed the range of disease areas in which it's seeking new treatments. Underlying the divergence is a deep-seated philosophical dispute over the merits of the heavy investment that companies must make to discover new drugs. By most estimates, bringing a new molecule to market costs drug makers more than $1 billion. Industry officials have been engaged in a vigorous debate over whether the investment is worth it, or whether they should leave it to others whose work they can acquire or license after a demonstration of strong potential.
  • To what extent can approached to innovation influence the trend line in the graph above?  I don't think that anyone really knows the answer.  The different approaches being taken by Merck and Pfizer, for instance, represent a real world policy experiment: The contrast between Merck and Pfizer reflects the very different personal approaches of their CEOs. An accountant by training, Mr. Read has held various business positions during a three-decade career at Pfizer. The 57-year-old cited torcetrapib, a cholesterol medicine that the company spent more than $800 million developing but then pulled due to safety concerns, as an example of the kind of wasteful spending Pfizer would avoid. "We're going to have metrics," Mr. Read said. He wants Pfizer to stop "always investing on hope rather than strong signals and the quality of the science, the quality of the medicine." Mr. Frazier, 56, a Harvard-educated lawyer who joined Merck in 1994 from private practice, said the company was sticking by its own troubled heart drug, vorapaxar. Mr. Frazier said he wanted to see all of the data from the trials before rushing to judgment. "We believe in the innovation approach," he said.
Weiye Loh

Solar Maps Reveal Exactly How Much Sun Hits Every Inch of a City | The Utopianist - Thi... - 0 views

utopianist.com/...-sun-hits-every-inch-of-a-city

Solar Map Clean Technology Green Energy

shared by Weiye Loh on 18 Jun 11 - No Cached
  • The New York solar map just debuted at the fifth annual Solar Summit. Solvecimate News reports: “The map is an important part of this effort,” said Tria Case, who heads the New York City solar map project as director of sustainability for the university. “It’s a tool that building and homeowners, installers, city officials and Con Ed can use.” The map is exact. During night flights over New Yok in May 2010, a twin-engine plane equipped with lasers captured the architecture of the city. From these images, CUNY’s Center for Advanced Research of Spatial Information created a 3-D model of the city. “It’s as if we shrink-wrapped the entire city in paper lined with a one-meter grid and got the exact elevation and horizontal location of each square meter,” Sean Ahearn, the geographer who directs the center, told SolveClimate News. Ahearn said the site incorporates so many bytes of information that it took a supercomputer with 10 processors some 50 hours to generate the map interface. The website can calculate how much solar radiation hits every square meter of the city — every hour, every day for an entire year. For building owners it means they can size up of the solar energy potential of their rooftops within minutes.
  • Weiye Loh on 18 Jun 11
     
    cities are turning to advanced, but easy-to-use solar maps that determine exactly how much sunlight falls on every inch of the city. That way, property owners can see upfront and center the clear benefits of installing solar. The latest - and by far the biggest - such initiative is coming to New York City, and well-received efforts have already spurred solar growth in San Francisco and Germany.
Building Inspectors Adelaide

Reliable Adelaide Building Inspector - 2 views

I always wanted to have a house of my own. I have been eyeing a property for sale nearby which is really nice. I am planning to buy the property, but, I also wanted to make sure that the price matc...

Building Inspectors Adelaide

started by Building Inspectors Adelaide on 04 Oct 11 no follow-up yet
Weiye Loh

A Brief Primer on Criminal Statistics « Canada « Skeptic North - 0 views

www.skepticnorth.com/...-primer-on-criminal-statistics

Crime Statistics

shared by Weiye Loh on 20 Apr 11 - No Cached
  • Occurrences of crime are properly expressed as the number of incidences per 100,000 people. Total numbers are not informative on their own and it is very easy to manipulate an argument by cherry picking between a total number and a rate.  Beware of claims about crime that use raw incidence numbers. When a change in whole incidence numbers is observed, this might not have any bearing on crime levels at all, because levels of crime are dependent on population.
  • Whole Numbers versus Rates
  • Reliability Not every criminal statistic is equally reliable. Even though we have measures of incidences of crimes across types and subtypes, not every one of these statistics samples the actual incidence of these crimes in the same way. Indeed, very few measure the total incidences very reliably at all. The crime rates that you are most likely to encounter capture only crimes known and substantiated by police. These numbers are vulnerable to variances in how crimes become known and verified by police in the first place. Crimes very often go unreported or undiscovered. Some crimes are more likely to go unreported than others (such as sexual assaults and drug possession), and some crimes are more difficult to substantiate as having occurred than others.
  • ...9 more annotations...
  • Complicating matters further is the fact that these reporting patterns vary over time and are reflected in observed trends.   So, when a change in the police reported crime rate is observed from year to year or across a span of time we may be observing a “real” change, we may be observing a change in how these crimes come to the attention of police, or we may be seeing a mixture of both.
  • Generally, the most reliable criminal statistic is the homicide rate – it’s very difficult, though not impossible, to miss a dead body. In fact, homicides in Canada are counted in the year that they become known to police and not in the year that they occurred.  Our most reliable number is very, very close, but not infallible.
  • Crimes known to the police nearly always under measure the true incidence of crime, so other measures are needed to better complete our understanding. The reported crimes measure is reported every year to Statistics Canada from data that makes up the Uniform Crime Reporting Survey. This is a very rich data set that measures police data very accurately but tells us nothing about unreported crime.
  • We do have some data on unreported crime available. Victims are interviewed (after self-identifying) via the General Social Survey. The survey is conducted every five years
  • This measure captures information in eight crime categories both reported, and not reported to police. It has its own set of interpretation problems and pathways to misuse. The survey relies on self-reporting, so the accuracy of the information will be open to errors due to faulty memories, willingness to report, recording errors etc.
  • From the last data set available, self-identified victims did not report 69% of violent victimizations (sexual assault, robbery and physical assault), 62% of household victimizations (break and enter, motor vehicle/parts theft, household property theft and vandalism), and 71% of personal property theft victimizations.
  • while people generally understand that crimes go unreported and unknown to police, they tend to be surprised and perhaps even shocked at the actual amounts that get unreported. These numbers sound scary. However, the most common reasons reported by victims of violent and household crime for not reporting were: believing the incident was not important enough (68%) believing the police couldn’t do anything about the incident (59%), and stating that the incident was dealt with in another way (42%).
  • Also, note that the survey indicated that 82% of violent incidents did not result in injuries to the victims. Do claims that we should do something about all this hidden crime make sense in light of what this crime looks like in the limited way we can understand it? How could you be reasonably certain that whatever intervention proposed would in fact reduce the actual amount of crime and not just reduce the amount that goes unreported?
  • Data is collected at all levels of the crime continuum with differing levels of accuracy and applicability. This is nicely reflected in the concept of “the crime funnel”. All criminal incidents that are ever committed are at the opening of the funnel. There is “loss” all along the way to the bottom where only a small sample of incidences become known with charges laid, prosecuted successfully and responded to by the justice system.  What goes into the top levels of the funnel affects what we can know at any other point later.
Weiye Loh

Oxford academic wins right to read UEA climate data | Environment | guardian.co.uk - 0 views

www.guardian.co.uk/...climate-data-uea

Data Climate Science ClimateGate Academia Freedom of Information

shared by Weiye Loh on 01 Jul 11 - No Cached
  • Jonathan Jones, physics professor at Oxford University and self-confessed "climate change agnostic", used freedom of information law to demand the data that is the life's work of the head of the University of East Anglia's Climatic Research Unit, Phil Jones. UEA resisted the requests to disclose the data, but this week it was compelled to do so.
  • Graham gave the UEA one month to deliver the data, which includes more than 4m individual thermometer readings taken from 4,000 weather stations over the past 160 years. The commissioner's office said this was his first ruling on demands for climate data made in the wake of the climategate affair.
  • an archive of world temperature records collected jointly with the Met Office.
  • ...3 more annotations...
  • Critics of the UEA's scientists say an independent analysis of the temperature data may reveal that Phil Jones and his colleagues have misinterpreted the evidence of global warming. They may have failed to allow for local temperature influences, such as the growth of cities close to many of the thermometers.
  • when Jonathan Jones and others asked for the data in the summer of 2009, the UEA said legal exemptions applied. It said variously that the temperature data were the property of foreign meteorological offices; were intellectual property that might be valuable if sold to other researchers; and were in any case often publicly available.
  • Jonathan Jones said this week that he took up the cause of data freedom after Steve McIntyre, a Canadian mathematician, had requests for the data turned down. He thought this was an unreasonable response when Phil Jones had already shared the data with academic collaborators, including Prof Peter Webster of the Georgia Institute of Technology in the US. He asked to be given the data already sent to Webster, and was also turned down.
  • Weiye Loh on 01 Jul 11
     
    An Oxford academic has won the right to read previously secret data on climate change held by the University of East Anglia (UEA). The decision, by the government's information commissioner, Christopher Graham, is being hailed as a landmark ruling that will mean that thousands of British researchers are required to share their data with the public.
joanne ye

Measuring the effectiveness of online activism - 2 views

Reference: Krishnan, S. (2009, June 21). Measuring the effectiveness of online activism. The Hindu. Retrieved September 24, 2009, from Factiva. (Article can be found at bottom of the post) Summary...

online activism freedom control

started by joanne ye on 24 Sep 09 no follow-up yet
Weiye Loh

Wk 4 Online censorship & digital access: Mormon Church Attacks Wikileaks - 6 views

WIKILEAK RELEASES SECRET CHURCH DOCUMENTS! The First Link is an article regarding Wikileaks releasing a 'copyrighted' and confidential Church document of the Mormons (also known as the Church of J...

Mormons Scientology Wikileaks Copyright Censorship

started by guanyou chen on 31 Aug 09 1 follow-up, last by Weiye Loh on 31 Aug 09
joanne ye

TJC Stomp Scandal - 34 views

This is a very interesting topic. Thanks, Weiman! From the replies for this topic, I would say two general questions surfaced. Firstly, is STOMP liable for misinformation? Secondly, is it right for...

started by Weiman Kow on 19 Aug 09 3 follow-ups, last by joanne ye on 26 Aug 09
Chen Guo Lim

Digging up the Past, but not necessarilly forgotten. - 1 views

http://www.youtube.com/watch?v=rYoexSAInQY Firstly, let me apologise for the exclusivity of the language. I tried looking for an English song but could not recall one. In any case, when t...

Classical Pop

started by Chen Guo Lim on 26 Aug 09 no follow-up yet
Jianwei Tan

Banksy, Vandalism & Copyright - 3 views

http://peteashton.com/2006/10/infringing_the_bankster/ I came across this story some time back when Banksy's works were more popular. Banksy is the handle used by an anonymous graffiti artist in E...

Banksy Graffiti Vandalism Copyright Art England

started by Jianwei Tan on 25 Aug 09 no follow-up yet
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