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Weiye Loh

On the Media: Survey shows that not all polls are equal - latimes.com - 0 views

  • Internet surveys sometimes acknowledge how unscientific (read: meaningless) they really are. They surely must be a pale imitation of the rigorous, carefully sampled, thoroughly transparent polls favored by political savants and mainstream news organizations
  • The line between junk and credible polling remains. But it became a little blurrier — creating concern among professional survey organizations and reason for greater skepticism by all of us — because of charges this week that one widely cited pollster may have fabricated data or manipulated it so seriously as to render it meaningless.
  • founder of the left-leaning Daily Kos website, filed a lawsuit in federal court in Oakland on Wednesday charging that Research 2000, the organization he had commissioned for 1 1/2 years to test voter opinion, had doctored its results.
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  • The firm's protestations that it did nothing wrong have been loud and repeated. Evidence against the company is somewhat arcane. Suffice it to say that independent statisticians have found a bewildering lack of statistical "noise" in the company's data. Where random variation would be expected, results are too consistent.
  • Most reputable pollsters agree on one thing — polling organizations should publicly disclose as much of their methodology as possible. Just for starters, they should reveal how many people were interviewed, how they were selected, how many rejected the survey, how "likely voters" and other sub-groups were defined and how the raw data was weighted to reflect the population, or subgroups.
  • Michael Cornfield, a George Washington University political scientist and polling expert, recommends that concerned citizens ignore the lone, sometimes sensational, poll result. "Trend data are superior to a single point in time," Cornfield said via e-mail, "and consensus results from multiple firms are superior to those conducted by a single outfit."
  • The rest of us should look at none of the polls. Or look at all of them. And look out for the operators not willing to tell us how they're doing business.
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    On the Media: Survey shows not all polls equal
Weiye Loh

Pew Research raw survey data now available - 0 views

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    The Pew Research churns out a lot of interesting results from a number of surveys about online and American culture, but they usually only shared aggregated results, pre-made charts and graphs. This is well and good for the information-consuming public; however, these results can spawn curiosities that are fun to dig into. Luckily, the Pew Research Center launched a Data Sets section that provides raw survey responses and the questions in a variety of easy-to-use data formats.
Weiye Loh

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

  • 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.
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  • 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

Do Americans trust the news media? (OneNewsNow.com) - 1 views

  • newly released poll by Sacred Heart Universitiy. The SHU Polling Institute recently conducted its third survey on "Trust and Satisfaction with the National News Media."  It's a national poll intended to answer the question of whether Americans trust the news media.  In a nutshell, the answer is a resounding "No!"
  • Pollsters asked which television news organizations people turned to most frequently.  CBS News didn't even make the top five!  Who did?  Fox News was first by a wide margin of 28.4 percent.  CNN was second, chosen by 14.9 percent.  NBC News, ABC News, and "local news" followed, while CBS News lagged way behind with only 7.4 percent.
  • On the question of media bias, a whopping 83.6 percent agree that national news media organizations are "very or somewhat biased." 
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  • Which media outlet is most trusted to be accurate today?  Again, Fox News took first place with a healthy margin of 30 percent.  CNN followed with 19.5 percent, NBC News with 7.5 percent, and ABC News with 7.5 percent.
  • we see a strong degree of polarization and political partisanship in the country in general, we see a similar trend in the media."  That probably explains why Fox News is also considered the least trusted, according to the SHU poll.  Viewers seem to either love or hate Fox News.
    • Weiye Loh
       
      So is Fox News the most trusted or the least trusted according to the SHU poll? Or both? And if it's both, how exactly is the survey carried out? Aren't survey options supposed to be mutually exclusive and exhaustive? Maybe SHU has no course on research methods.
  • only 24.3 percent of the SHU respondents say they believe "all or most news media reporting."  They also overwhelmingly (86.6 percent) believe "that the news media have their own political and public policy positions and attempt to influence public opinion." 
    • Weiye Loh
       
      They believe that media attempts to influence. But they also believe that media is biased. Logically then, they don't trust and believe the media. Does that mean that media has no influence? If so, why are they worried then? Third-person perception? Or they simply believe that they are holier-than-thou? Are they really more objective? What is objectivity anyway if not a social construst.
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    One biased news source reporting about the biasness of other news sources. Shows that (self-)reflexivity is key in reading.
Weiye Loh

Response to Guardian's Article on Singapore Elections | the kent ridge common - 0 views

  • Further, grumblings on Facebook accounts are hardly ‘anonymous’. Lastly, how anonymous can bloggers be, when every now and then a racist blogger gets arrested by the state? Think about it. These sorts of cases prove that the state does screen, survey and monitor the online community, and as all of us know there are many vehement anti-PAP comments and articles, much of which are outright slander and defamation.
  • Yet at the end of the day, it is the racist blogger, not the anti-government or anti-PAP blogger that gets arrested. The Singaporean model is a much more complex and sophisticated phenomenon than this Guardian writer gives it credit.
  • Why did this Guardian writer, anyway, pander to a favourite Western stereotype of that “far-off Asian undemocratic, repressive regime”? Is she really in Singapore as the Guardian claims? (“Kate Hodal in Singapore” is written at the top) Can the Guardian be anymore predictable and trite?
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  • Can any Singaporean honestly say the she/he can conceive of a fellow Singaporean setting himself or herself on fire along Orchard Road or Shenton Way, as a result of desperate economic pressures or financial constraints? Can we even fathom the social and economic pressures that mobilized a whole people to protest and overthrow a corrupt, US-backed regime? (that is, not during elections time) Singapore has real problems, the People’s Action Party has its real problems, and there is indeed much room for improvement. Yet such irresponsible reporting by one of the esteemed newspapers from the UK is utterly disappointing, not constructive in the least sense, and utterly misrepresents our political situation (and may potentially provoke more irrationality in our society, leading people to ‘believe’ their affinity with their Arab peers which leads to more radicalism).
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    Further, grumblings on Facebook accounts are hardly 'anonymous'. Lastly, how anonymous can bloggers be, when every now and then a racist blogger gets arrested by the state? Think about it. These sorts of cases prove that the state does screen, survey and monitor the online community, and as all of us know there are many vehement anti-PAP comments and articles, much of which are outright slander and defamation. Yet at the end of the day, it is the racist blogger, not the anti-government or anti-PAP blogger that gets arrested. The Singaporean model is a much more complex and sophisticated phenomenon than this Guardian writer gives it credit.
Chen Guo Lim

POLICE & THIEF - 5 views

According to the readings, one reason why people do not consider illegal downloads as theft is that it does not deprive others of that item. When I download an mp3 file from, the file will not disa...

Weiye Loh

Paul Crowley's Blog - A survey of anti-cryonics writing - 0 views

  • cryonics offers almost eternal life. To its critics, cryonics is pseudoscience; the idea that we could freeze someone today in such a way that future technology might be able to re-animate them is nothing more than wishful thinking on the desire to avoid death. Many who battle nonsense dressed as science have spoken out against it: see for example Nano Nonsense and Cryonics, a 2001 article by celebrated skeptic Michael Shermer; or check the Skeptic’s Dictionary or Quackwatch entries on the subject, or for more detail read the essay Cryonics–A futile desire for everlasting life by “Invisible Flan”.
  • And of course the pro-cryonics people have written reams and reams of material such as Ben Best’s Scientific Justification of Cryonics Practice on why they think this is exactly as plausible as I might think, and going into tremendous technical detail setting out arguments for its plausibility and addressing particular difficulties. It’s almost enough to make you want to sign up on the spot. Except, of course, that plenty of totally unscientific ideas are backed by reams of scientific-sounding documents good enough to fool non-experts like me. Backed by the deep pockets of the oil industry, global warming denialism has produced thousands of convincing-sounding arguments against the scientific consensus on CO2 and AGW. T
  • Nano Nonsense and Cryonics goes for the nitty-gritty right away in the opening paragraph:To see the flaw in this system, thaw out a can of frozen strawberries. During freezing, the water within each cell expands, crystallizes, and ruptures the cell membranes. When defrosted, all the intracellular goo oozes out, turning your strawberries into runny mush. This is your brain on cryonics.This sounds convincing, but doesn’t address what cryonicists actually claim. Ben Best, President and CEO of the Cryonics Institute, replies in the comments:Strawberries (and mammalian tissues) are not turned to mush by freezing because water expands and crystallizes inside the cells. Water crystallizes in the extracellular space because more nucleators are found extracellularly. As water crystallizes in the extracellular space, the extracellular salt concentration increases causing cells to lose water osmotically and shrink. Ultimately the cell membranes are broken by crushing from extracellular ice and/or high extracellular salt concentration. […] Cryonics organizations use vitrification perfusion before cooling to cryogenic temperatures. With good brain perfusion, vitrification can reduce ice formation to negligible amounts.
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  • The Skeptic’s Dictionary entry is no advance. Again, it refers erroneously to a “mushy brain”. It points out that the technology to reanimate those in storage does not already exist, but provides no help for us non-experts in assessing whether it is a plausible future technology, like super-fast computers or fusion power, or whether it is as crazy as the sand-powered tank; it simply asserts baldly and to me counterintuitively that it is the latter. Again, perhaps cryonic reanimation is a sand-powered tank, but I can explain to you why a sand-powered tank is implausible if you don’t already know, and if cryonics is in the same league I’d appreciate hearing the explanation.
  • Another part of the article points out the well-known difficulties with whole-body freezing — because the focus is on achieving the best possible preservation of the brain, other parts suffer more. But the reason why the brain is the focus is that you can afford to be a lot bolder in repairing other parts of the body — unlike the brain, if my liver doesn’t survive the freezing, it can be replaced altogether.
  • Further, the article ignores one of the most promising possibilities for reanimation, that of scanning and whole-brain emulation, a route that requires some big advances in computer and scanning technology as well as our understanding of the lowest levels of the brain’s function, but which completely sidesteps any problems with repairing either damage from the freezing process or whatever it was that led to legal death.
  • Sixteen years later, it seems that hasn’t changed; in fact, as far as the issue of technical feasability goes it is starting to look as if on all the Earth, or at least all the Internet, there is not one person who has ever taken the time to read and understand cryonics claims in any detail, still considers it pseudoscience, and has written a paper, article or even a blog post to rebut anything that cryonics advocates actually say. In fact, the best of the comments on my first blog post on the subject are already a higher standard than anything my searches have turned up.
  • I don’t have anything useful to add, I just wanted to say that I feel exactly as you do about cryonics and living forever. And I thought that this statement: I know that I don’t know enough to judge. shows extreme wisdom. If only people wishing to comment on global warming would apply the same test.
  • WRT global warming, the mistake people make is trying to go direct to the first-order evidence, which is much too complicated and too easy to misrepresent to hope to directly interpret unless you make it your life’s work, and even then only in a particular area. The correct thing to do is to collect second-order evidence, such as that every major scientific academy has backed the IPCC.
    • Weiye Loh
       
      First-order evidence vs second-order evidence...
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    Cryonics
Weiye Loh

Bankers, Buyouts & Billionaires: Why Big Herba's Research Deficit Isn't About... - 0 views

  • A skeptic challenges a natural health product for the lack of an evidentiary base.  A proponent of that product responds that the skeptic has made a logical error – an absence of evidence is not evidence of absence, and in such a scenario it’s not unreasonable to rely on patient reporting and traditional uses as a guide. The skeptic chimes back with a dissertation on the limits of anecdotal evidence and arguments from antiquity — especially when the corresponding pharma products have a data trail supporting their safety and efficacy. The proponent responds that it’s unfair to hold natural health products to the same evidentiary standard, because only pharma has the money to fund proper research, and they only do so for products they can patent. You can’t patent nature, so no research into natural health products gets done.
  • look here, here, and here for recent examples
  • natural health industry isn’t rich enough to sustain proper research.  Is that true? Natural health, by the numbers On the surface, it certainly wouldn’t appear so. While the industry can be difficult to get a bead on – due both to differing definitions of what it includes (organic foods? natural toothpaste?), and the fact that many of the key players are private companies that don’t report revenues – by any measure it’s sizable. A survey by the University of Guelph  references KPMG estimates that the Natural Health Products sector in Canada grew from $1.24B in 2000 to $1.82B in 2006 – a growth rate that would bring the market to about $2.5B today.   Figures from the Nutrition Business Journal quoted in the same survey seem to agree, suggesting Canada is 3% of a global “supplements” (herbal, homeopathy, vitamins) market that was $68B globally in 2006 and growing at 5% a year – bringing it to perhaps $85B today. Figures from various sources quoted in a recent Health Canada report support these estimates.
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  • While certainly not as big as the ($820B) pharmaceutical industry, $85B is still an awful lot of money, and it’s hard to imagine it not being enough to carve out a research budget from. Yet research isn’t done by entire industries, but by one tier of the value chain — the companies that manufacture and distribute the products.  If they’re not big enough to fund the type of research skeptics are looking for, it won’t be done, so let’s consider some of the bigger players before we make that call.
  • French giant Boiron (EPA:BOI) is by far the largest distributor of natural health products in Canada – they’re responsible for nearly 4000 (15%) of the 26,000 products approved by Health Canada’s Natural Health Products Directorate. They’re also one of largest natural health products companies globally, with 2010 revenues of €520M ($700M CAD) – a size achieved not just through the success of killer products like Oscillococcinum, but also through acquisitions. In recent years, the company has acquired both its main French rival Dolisos (giving them 90% of the French homeopathy market) and the largest homeopathy company in Belgium, Unda. So this is a big company that’s prepared to spend money to get even bigger. What about spending some of that money on research?  Well ostensibly it’s a priority: “Since 2005, we have devoted a growing level of resources to develop research,” they proclaim in the opening pages of their latest annual report, citing 70 in-progress research projects. Yet the numbers tell a different story – €4.2M in R&D expenditures in 2009, just 0.8% of revenues.
  • To put that in perspective, consider that in the same year, GlaxoSmithKline spent 14% of its revenues on R&D, Pfizer spent 15%, and Merck spent a whopping 21%.
  • But if Boiron’s not spending like pharma on research, there’s one line item where they do go toe to toe: Marketing. The company spent €114M – a full 21% of revenues on marketing in 2009. By contrast, GSK, Pfizer and Merck reported 33%, 29%, and 30% of revenues respectively on their “Selling, General, and Administrative” (SG&A) line – which includes not just sales & marketing expenses, but also executive salaries, support staff, legal, rent, utilities, and other overhead costs. Once those are subtracted out, it’s likely that Boiron spends at least as much of its revenues on marketing as Big Pharma.
Weiye Loh

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

  • 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.
  •  
    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

UNICEF - India - Children map their community using innovative technology in India - 0 views

  • After data were collected, the children drew the map’s first draft on a big sheet of paper. It clearly labelled and colour-coded each detail, from houses to street lamps. Now, the map and survey – which identified 71 sources of water but not one clean enough for drinking – can also be used as a powerful advocacy tool.
  • Ms. Das says improvements have already been made. Pointing to a lamp post in her crowded alley, she observes, “Things are already better. We have more light here.” The children also use survey data to target households during polio immunization campaigns. In teams armed with handmade paper megaphones and signs, they regularly march about shouting: “Shunun, shunun (listen),” imploring neighbours to bring children for polio drops. They also take toddlers to polio booths themselves. The children also mobilize for malaria information drives, to check on children who drop out of school, or to teach proper hand washing techniques. They tackle tough topics, like child marriage and human trafficking, with puppets and street plays at each community festival.
Weiye Loh

Politics and self-confidence trump education on climate change - 0 views

  • One set of polls, conducted by the University of New Hampshire, focused on a set of rural areas, including Alaska, the Gulf Coast, and Appalachia. These probably don't reflect the US as a whole, but the pollsters had about 9,500 respondents. The second, published in the The Sociological Quarterly, took advantage of a decade's worth of Earth Day polls conducted by Gallup.
  • Both surveys asked similar questions, however, including whether climate change has occurred and whether humans were likely to be the primary cause. The scientific community, including all the major scientific organizations that have issued statements on the matter, has said yes to both of these questions, and the authors interpret their findings in light of that.
  • The UNH poll shows that a strong majority—in the 80-90 percent range—accepts that climate change is happening. The Gallup polls explicitly asked about global warming and got lower percentages, although it still found that a majority of the US thinks the climate is changing. Those who label themselves conservatives, however, are notably less likely to even accept that basic point; less than half of them do, while the majority of liberals and independents do.
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  • Although there was widespread acceptance that climate change was occurring, Democrats were much more likely to ascribe it to human causes (margins ranged from 20 to 50 percent). Independents were somewhere in the middle. Among those who claimed to understand the topic well, the gap actually increased.
  • Republicans with a high degree of confidence in their knowledge of the climate were more likely to dismiss the scientific community's opinion; the highly confident Democrats were more likely to embrace it. The authors caution, however, that "The survey answers thus reflect self-confidence, which has an untested relation to knowledge."
  • The people working with Gallup data performed the same analysis, and found precisely the same thing: the more registered Republicans and those who describe themselves as conservatives thought they knew about anthropogenic climate change, the less likely they were to accept the evidence for it. For Democrats and independents, the opposite was true (same for self-styled moderates and liberals). This group also did a slightly different check, and broke out opinions on global warming based on education and political leanings. For Democrats and independents, increased education boosted their readiness to accept the scientific community's conclusions. For self-styled conservatives, education had almost no effect (it gave a slight boost in registered Republicans).
  • Because this group had temporal data, they could track the progression of this liberal/conservative gap. It existed back in the first year they had data, 2001, but the gap was relatively stable until about 2008. At that point, acceptance among conservatives plunged, leading to the current gap of over 40 percentage points (up from less than 20) between these groups.
  • Both groups also come to similar conclusions about why this gap has developed. The piece in The Sociological Quarterly is appropriately sociological, suggesting that modernizing forces have compelled most societies to deal with the "negative consequences of industrial capitalism," such as pollution. Climate change, for these authors, is a case where the elites of conservative politics have convinced their followers to protect capitalism from any negative associations.
  • The UNH group takes a more nuanced, psychological view of matters. "'Biased assimilation' has been demonstrated in experiments that find people reject information about the existence of a problem if they object to its possible solutions," they note, before later stating that many appear to be "basing their beliefs about science and physical reality on what they thought would be the political implications if human-caused climate change were true."
  • neither group offers a satisfying solution. The sociologists simply warn that the culture wars have reached potentially dangerous proportions when it comes to climate science, while the group from New Hampshire suggests we might have to wait until an unambiguous consequence, like the loss of Arctic ice in the summer, for some segments of society to come around.
  •  
    when it comes to climate change, politics dominates, eclipsing self-assessed knowledge and general education. In fact, it appears that your political persuasion might determine whether an education will make you more or less likely to believe the scientific community.
Weiye Loh

Stanford Security Lab Tracks Do Not Track - 0 views

  • What they found is that more than half the NAI member companies did not remove tracking codes after someone opted out.
  • At least eight NAI members promise to stop tracking after opting out, but nonetheless leave tracking cookies in place.
  • I take that to mean that the other 25 companies never actually said they would remove tracking cookies, it’s just that they belong to a fellowship that wishes they would. On the positive side, ten companies went beyond what their privacy policy promises (say that three times fast) and two companies were “taking overt steps to respect Do Not Track.”
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  • There’s probably a small percentage of companies who will blatantly ignore any attempts to stop tracking. For the rest, it’s more likely a case of not having procedures in place. Their intentions are good, but lack of manpower and the proper tech is probably what’s keeping them from following through on those good thoughts.
  • Since they can’t go after them with big guns, the Stanford study went with public embarrassment. They’ve published a list of the websites showing which ones are compliant and which ones aren’t. If you’re working with an ad network, you might want to check it out.
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    The folks at the Stanford Security Lab are a suspicious bunch. Since they're studying how to make computers more secure, I guess it comes with the territory. Their current interest is tracking cookies and the Do Not Track opt-out process. Using "experimental software," they conducted a survey to see how many members of the Network Advertising Initiative (NAI), actually complied with the new Do Not Track initiatives.
Weiye Loh

Rationally Speaking: Between scientists and citizens, part I - 0 views

  • The authors suggest that there are two publics for science communication, one that is liberal, educated and with a number of resources at its disposals; the other with less predictable and less-formed opinions. The authors explored empirically (via a survey of 108 Colorado citizens) the responses of liberal and educated people to scientific jargon by exposing them to two “treatments”: jargon-laden vs lay terminology news articles. The results found that scientists were considered the most credible sources in the specific area of environmental science (94.3% agreed), followed by activists (61.1%). The least credible were industry representatives, clergy and celebrities. (Remember, this is among liberal educated people.) Interestingly, the use of jargon per se did not increase acceptance of the news source or of the content of the story. So the presence of scientific expertise is important, not so the presence of actual scientific details in the story.
  • There is no complete account of the scientific method, and again one can choose certain methods rather than others, depending on what one is trying to accomplish (a choice that is itself informed by one’s values). And of course the Duhem-Quine thesis shows that there is no straightforward way to falsify scientific theories (contra Popper). If there were supernatural causes that interact with (or override) the causes being studied by science, but are themselves undiscoverable, this would lead to false conclusions and bad predictions. Which means that the truth is discoverable empirically only if such supernatural causes are not active. Science cannot answer the question of whether such factors are present, which raises the question of whether we ought to proceed as if they were not (i.e., methodological naturalism).
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    Expertise is often thought of in terms of skills, but within the context of science communication it really refers to authority and credibility. Expertise is communicated at least in part through the use of jargon, with which of course most journalists are not familiar. Jargon provides an air of authority, but at the same time the concepts referred to become inaccessible to non-specialists. Interestingly, journalists prefer sources that limit the use of jargon, but they themselves deploy jargon to demonstrate scientific proficiency.
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
juliet huang

Online privacy concerns arise as website lists personal data - 5 views

The link : http://www.channelnewsasia.com/stories/singaporelocalnews/view/448207/1/.html Case Summary: Red Nano is a people-search engine which allows others to find you in the public int...

rednano online identity

started by juliet huang on 19 Aug 09 no follow-up yet
Weiye Loh

Research integrity: Sabotage! : Nature News - 0 views

  • 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.
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  • 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."
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    Research integrity: Sabotage! Postdoc Vipul Bhrigu destroyed the experiments of a colleague in order to get ahead.
Weiye Loh

Epiphenom: Suicide in American colleges - the importance of existential well being - 0 views

  • Lindsay Taliaferro, a doctoral candidate at the University of Florida, surveyed over 400 of her fellow students. The response rate was high - around 90%. The good news is that, for the most part, they were not suicidal! On average, they scored 11 on a 70-point scale of suicidal thinking.
  • as expected, those who reported high levels of religious well being (e.g. that they find strength or support from God) or involvement in religious activities had fewer suicidal thoughts.
  • She also asked how hopeless or depressed the students felt, and how much social support they felt they got. When she took this into account, the effects of religion disappeared. What this suggests is that religious well-being and involvement have whatever effects they have by reducing hopelessness and depression, and by increasing social support.
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  • what is surprising is that she found a third factor that was even more important that religion and social support. That factor was "Existential Well-Being", which relates to things such as feeling fulfilled and satisfied with life, and finding meaning and purpose in life.
  • Existential Well-Being remained important even after taking into account hopelessness, depression and social support. In other words, even if you feel hopeless, depressed, and alone, existential well-being (unlike religious well-being) can ease suicidal thoughts.
  • this does seem to fit in with other studies which have shown that spirituality does not reduce suicidal thoughts,and that feeling close to God is linked to a history of depression, whereas existential well being is linked to dramatically less depression.
  • Results from the present investigation indicate that many college students did not demonstrate high involvement in organized religion. Yet they reported high levels of spiritual well-being, especially existential well-being, and low levels of suicidal ideation. Furthermore, results highlighted existential well-being as an important factor associated with lower levels of suicidal ideation among college students. Overall, these findings suggest that a strategy for reducing distress and preventing suicide among college students may involve exploring mechanisms that nurture a sense of meaning in life in individuals for whom organized religion remains unimportant. Health professionals may have more success in improving young people’s sense of meaning and purpose by methods other than an increase in faith, participation in organized religion, or other indicators of religiosity.
  •  
    Suicide
Weiye Loh

Why Are the Rich So Good at the Internet? | Fast Company - 0 views

  • It even suggests the existence of a tipping point, where Internet use takes off at a certain income level.
  • even among groups that own the necessary technology, less wealth equates to less (and less varied) Internet usage.
  • The report, an umbrella analysis of three Pew surveys conducted in 2009 and 2010, compares Internet use among American households in four different income brackets: less than $30,000 a year; $30,000-50,000; $50,000-75,000; and greater than $75,000. Respondents--more than 3,000 people participated--were asked a variety of questions about how often they used the Internet, and what sorts of services they took advantage of (such as email, online news, booking travel online, or health research).
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  • As might be expected, the wealthier used the Internet more.
  • Almost 90% of the wealthiest respondents reported broadband access at home. Of those in the under-$30,000 households, that figure was only 40%. "I would expect some type of correlation," says Jansen. "But we controlled for community type--urban, rural, suburban--educational attainment, race, ethnicity, gender, and age." None was nearly so strongly correlated as income.
  • Age did have some effect, and rural regions were a good deal less wired
  • Once a modestly middle-class family buys a computer and Internet access, why is it that they spend less time researching products online than their wealthier counterparts, given that they have a tighter budget than the ultra-wealthy?
  • Jansen notes that for many questions Pew asked about Internet use, there appeared to be a tipping point somewhere in the $30,000-$50,000 range. Consider, for instance, the data on those who researched products online. Only 67% of lowest-income Internet users research products online. Make it over the hump into the $30,000-$50,000 bracket, though, and all of a sudden 81% of internet users do so--a jump of 14 points. But then as you climb the income ladder, the change in behavior begins to level out, just climbing a few percentage points with each bracket
  • "It would be interesting to look at what is going on at that particular income level," says Jansen, suggesting a potential tack for further research, "that seems to indicate a fairly robust use of technology and interest."
  • Jansen, like any careful researcher, cautions against confusing correlation with causation. It may be that people are using the web to make their fortunes, and not using their fortunes to surf the web.
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    Pew Internet has released a report finding that income is the strongest predictor of whether, how often, and in what ways Americans use the web.
Weiye Loh

Roger Pielke Jr.'s Blog: Political Affiliations of Scientists - 0 views

  • Dan Sarewitz tossed some red meat out on the table in the form of an essay in Slate on the apparent paucity of Republicans among the US scientific establishment.  Sarewitz suggests that it is in the interests f the scientific community both to understand this situation and to seek greater diversity in its ranks, explaining that "the issue here is legitimacy, not literacy."
  • The issue that Sarewitz raises is one of legitimacy.  All of us evaluate knowledge claims outside our own expertise (and actually very few people are in fact experts) based not on a careful consideration of facts and evidence, but by other factors, such as who we trust and how their values jibe with our own.  Thus if expert institutions are going to sustain and function in a democratic society they must attend to their legitimacy.  Scientific institutions that come to be associated with one political party risk their legitimacy among those who are not sympathetic to that party's views.
  • Of course, we don't just evaluate knowledge claims simply based on individuals, but usually through institutions, like scientific journals, national academies, professional associations, universities and so on. Sarewitz's Slate article did not get into a discussion of these institutions, but I think that it is essential to fully understand his argument.
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  • Consider that the opinion poll that Sarewitz cited which found that only 6% of scientists self-identify as Republicans has some very important fine print -- specifically that the scientists that it surveyed were all members of the AAAS.  I do not have detailed demographics information, but based on my experience I would guess that AAAS membership is dominated by university and government scientists.  The opinion poll thus does not tell us much about US scientists as a whole, but rather something about one scientific institution -- AAAS.  And the poll indicates that AAAS is largely an association that does not include Republicans.
  • One factor might be seen in a recent action of the American Geophysical Union -- another big US science association: AGU recently appointed Chris Mooney to its Board.  I am sure that Chris is a fine fellow, but appointing an English major who has written divisively about the "Republican War on Science" to help AGU oversee "science communication" is more than a little ironic, and unlikely to attract many Republican scientists to the institution, perhaps even having the opposite effect.  To the extent that AAAS and AGU endorse the Democratic policy agenda, or just appear to do so, it reflects their role not as arbiters of knowledge claims, but rather as political actors.
  • I would wager that the partisan affiliation of scientists in the US military, in the energy , pharmaceutical and finance industries would look starkly different than that of AAAS.  If there is a crisis of legitimacy in the scientific community, it is among those institutions which have become to be so dominated by those espousing a shared political view, whatever that happens to be. This crisis is shared by AAAS and AGU, viewed with suspicion by those on the Right, and, for instance, by ExxonMobil, which is viewed by a similar suspicion by those on the Left.  Sarewitz is warning that for many on the Right, institutions like AAAS are viewed with every bit as skeptical an eye as those on the Left view ExxonMobil.
  • Many observers are so wrapped up in their own partisan battles that they either don't care that science is being associated with one political party or they somehow think that through such politicization they will once and for all win the partisan battles.  They won't. Political parties are far more robust than institutions of science. Institutions of science need help to survive intact partisan political battles.  The blogosphere and activist scientists and journalists offer little help.
Weiye Loh

Is it a boy or a girl? You decide - Prospect Magazine « Prospect Magazine - 0 views

  • The only way to guarantee either a daughter or son is to undergo pre-implantation genetic diagnosis: a genetic analysis of an embryo before it is placed in the womb. This is illegal in Britain except for couples at risk of having a child with a life-threatening gender-linked disorder.
  • It’s also illegal for clinics to offer sex selection methods such as MicroSort, that sift the slightly larger X chromosome-bearing (female) sperm from their weedier Y chromosome-bearing (male) counterparts, and then use the preferred sperm in an IVF cycle. With a success rate hovering around 80-90 per cent, it’s better than Mother Nature’s odds of conception, but not immaculate.
  • Years ago I agreed with this ban on socially motivated sex selection. But I can’t defend that stance today. My opposition was based on two worries: the gender balance being skewed—look at China—and the perils of letting society think it’s acceptable to prize one sex more than the other. Unlike many politicians, however, I think it is only right and proper to perform an ideological U-turn when presented with convincing opposing evidence.
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  • A 2003 survey published in the journal Human Reproduction showed that few British adults would be concerned enough about their baby’s gender to use the technology, and most adults wanted the same number of sons as daughters
  • Bioethics specialist Edgar Dahl of the University of Geissen found that 68 per cent of Britons craved an equal number of boys and girls; 6 per cent wanted more boys; 4 per cent more girls; 3 per cent only boys; and 2 per cent only girls. Fascinatingly, even if a baby’s sex could be decided by simply taking a blue pill or a pink pill, 90 per cent of British respondents said they wouldn’t take it.
  • What about the danger of stigmatising the unwanted sex if gender selection was allowed? According to experts on so-called “gender disappointment,” the unwanted sex would actually be male.
  • I may think it is old-fashioned to want a son so that he can inherit the family business, or a daughter to have someone to go shopping with. But how different is that from the other preferences and expectations we have for our children, such as hoping they will be gifted at mathematics, music or sport? We all nurture secret expectations for our children: I hope that mine will be clever, beautiful, witty and wise. Perhaps it is not the end of the world if we allow some parents to add “female” or “male” to the list.
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    Is it a boy or a girl? You decide ANJANA AHUJA   28th April 2010  -  Issue 170 Choosing the sex of an unborn child is illegal, but would it harm society if it wasn't?
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