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Meenatchi

RIAJ push for mobile phone DRM across Japan - 2 views

Article Summary: http://www.geek.com/articles/mobile/riaj-push-for-mobile-phone-drm-across-japan-20090915/ The article talks about the Recording Industry Association of Japan (RIAJ) attempting t...

Digital Rights DRM

started by Meenatchi on 16 Sep 09 no follow-up yet
Weiye Loh

The Creativity Crisis - Newsweek - 0 views

  • The accepted definition of creativity is production of something original and useful, and that’s what’s reflected in the tests. There is never one right answer. To be creative requires divergent thinking (generating many unique ideas) and then convergent thinking (combining those ideas into the best result).
  • Torrance’s tasks, which have become the gold standard in creativity assessment, measure creativity perfectly. What’s shocking is how incredibly well Torrance’s creativity index predicted those kids’ creative accomplishments as adults.
  • The correlation to lifetime creative accomplishment was more than three times stronger for childhood creativity than childhood IQ.
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  • there is one crucial difference between IQ and CQ scores. With intelligence, there is a phenomenon called the Flynn effect—each generation, scores go up about 10 points. Enriched environments are making kids smarter. With creativity, a reverse trend has just been identified and is being reported for the first time here: American creativity scores are falling.
  • creativity scores had been steadily rising, just like IQ scores, until 1990. Since then, creativity scores have consistently inched downward.
  • It is the scores of younger children in America—from kindergarten through sixth grade—for whom the decline is “most serious.”
  • It’s too early to determine conclusively why U.S. creativity scores are declining. One likely culprit is the number of hours kids now spend in front of the TV and playing videogames rather than engaging in creative activities. Another is the lack of creativity development in our schools. In effect, it’s left to the luck of the draw who becomes creative: there’s no concerted effort to nurture the creativity of all children.
  • Around the world, though, other countries are making creativity development a national priority.
  • In China there has been widespread education reform to extinguish the drill-and-kill teaching style. Instead, Chinese schools are also adopting a problem-based learning approach.
  • When faculty of a major Chinese university asked Plucker to identify trends in American education, he described our focus on standardized curriculum, rote memorization, and nationalized testing.
  • Overwhelmed by curriculum standards, American teachers warn there’s no room in the day for a creativity class.
  • The age-old belief that the arts have a special claim to creativity is unfounded. When scholars gave creativity tasks to both engineering majors and music majors, their scores laid down on an identical spectrum, with the same high averages and standard deviations.
  • The argument that we can’t teach creativity because kids already have too much to learn is a false trade-off. Creativity isn’t about freedom from concrete facts. Rather, fact-finding and deep research are vital stages in the creative process.
  • The lore of pop psychology is that creativity occurs on the right side of the brain. But we now know that if you tried to be creative using only the right side of your brain, it’d be like living with ideas perpetually at the tip of your tongue, just beyond reach.
  • Creativity requires constant shifting, blender pulses of both divergent thinking and convergent thinking, to combine new information with old and forgotten ideas. Highly creative people are very good at marshaling their brains into bilateral mode, and the more creative they are, the more they dual-activate.
  • “Creativity can be taught,” says James C. Kaufman, professor at California State University, San Bernardino. What’s common about successful programs is they alternate maximum divergent thinking with bouts of intense convergent thinking, through several stages. Real improvement doesn’t happen in a weekend workshop. But when applied to the everyday process of work or school, brain function improves.
  • highly creative adults tended to grow up in families embodying opposites. Parents encouraged uniqueness, yet provided stability. They were highly responsive to kids’ needs, yet challenged kids to develop skills. This resulted in a sort of adaptability: in times of anxiousness, clear rules could reduce chaos—yet when kids were bored, they could seek change, too. In the space between anxiety and boredom was where creativity flourished.
  • highly creative adults frequently grew up with hardship. Hardship by itself doesn’t lead to creativity, but it does force kids to become more flexible—and flexibility helps with creativity.
  • In early childhood, distinct types of free play are associated with high creativity. Preschoolers who spend more time in role-play (acting out characters) have higher measures of creativity: voicing someone else’s point of view helps develop their ability to analyze situations from different perspectives. When playing alone, highly creative first graders may act out strong negative emotions: they’ll be angry, hostile, anguished.
  • In middle childhood, kids sometimes create paracosms—fantasies of entire alternative worlds. Kids revisit their paracosms repeatedly, sometimes for months, and even create languages spoken there. This type of play peaks at age 9 or 10, and it’s a very strong sign of future creativity.
  • From fourth grade on, creativity no longer occurs in a vacuum; researching and studying become an integral part of coming up with useful solutions. But this transition isn’t easy. As school stuffs more complex information into their heads, kids get overloaded, and creativity suffers. When creative children have a supportive teacher—someone tolerant of unconventional answers, occasional disruptions, or detours of curiosity—they tend to excel. When they don’t, they tend to underperform and drop out of high school or don’t finish college at high rates.
  • They’re quitting because they’re discouraged and bored, not because they’re dark, depressed, anxious, or neurotic. It’s a myth that creative people have these traits. (Those traits actually shut down creativity; they make people less open to experience and less interested in novelty.) Rather, creative people, for the most part, exhibit active moods and positive affect. They’re not particularly happy—contentment is a kind of complacency creative people rarely have. But they’re engaged, motivated, and open to the world.
  • A similar study of 1,500 middle schoolers found that those high in creative self-efficacy had more confidence about their future and ability to succeed. They were sure that their ability to come up with alternatives would aid them, no matter what problems would arise.
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    The Creativity Crisis For the first time, research shows that American creativity is declining. What went wrong-and how we can fix it.
Jianwei Tan

Dominic Utton: How to scam a scammer |From the Guardian |The Guardian - 0 views

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    Summary: Some people may have heard of the Nigerian 419 scams that were very infamous quite a few years back. These scammers who supposedly operated out of Nigeria created elaborate stories and solicited for help through e-mails. Although the initial intention of the e-mail is to ask for help, subsequent correspondences usually result in the scammer requesting for monetary aid through wire transfer. This person, Mike, has taken it upon himself to declare war on these scammers, baiting them to believe that he would send money to them but in actual fact plays pranks on them. The pranks played range from telling silly stories and wasting the scammer's time to persuading the scammer to get tattooed in order to get the money. Question: Scams are, without a doubt, unethical and probably criminal activities. However, is the act of scamming a would-be scammer an ethical thing to do? Problem: Let's imagine a situation where the scammer and the scambaiter (the person scamming the scammer) are from the same country or even the same state, thus both parties would be subject to the same laws. If the scammer were to try and launch a scam and instead was scambaited into severe consequences (I think getting tattoed is quite severe), should the scambaiter be prosecuted by the legal system?
Weiye Loh

China used prisoners in lucrative internet gaming work | World news | guardian.co.uk - 0 views

  • "Prison bosses made more money forcing inmates to play games than they do forcing people to do manual labour," Liu told the Guardian. "There were 300 prisoners forced to play games. We worked 12-hour shifts in the camp. I heard them say they could earn 5,000-6,000rmb [£470-570] a day. We didn't see any of the money. The computers were never turned off."
  • "If I couldn't complete my work quota, they would punish me physically. They would make me stand with my hands raised in the air and after I returned to my dormitory they would beat me with plastic pipes. We kept playing until we could barely see things," he said.
  • "gold farming", the practice of building up credits and online value through the monotonous repetition of basic tasks in online games such as World of Warcraft. The trade in virtual assets is very real, and outside the control of the games' makers. Millions of gamers around the world are prepared to pay real money for such online credits, which they can use to progress in the online games.The trading of virtual currencies in multiplayer games has become so rampant in China that it is increasingly difficult to regulate. In April, the Sichuan provincial government in central China launched a court case against a gamer who stole credits online worth about 3000rmb.
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  • lack of regulations has meant that even prisoners can be exploited in this virtual world for profit.
  • The emergence of gold farming as a business in China – whether in prisons or sweatshops could raise new questions over the exporting of goods real or virtual from the country."Prison labour is still very widespread – it's just that goods travel a much more complex route to come to the US these days. And it is not illegal to export prison goods to Europe, said Nicole Kempton from the Laogai foundation, a Washington-based group which opposes the forced labour camp system in China.
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...

Weiye Loh

Op-Ed Columnist - The Moral Naturalists - NYTimes.com - 0 views

  • Moral naturalists, on the other hand, believe that we have moral sentiments that have emerged from a long history of relationships. To learn about morality, you don’t rely upon revelation or metaphysics; you observe people as they live.
  • By the time humans came around, evolution had forged a pretty firm foundation for a moral sense. Jonathan Haidt of the University of Virginia argues that this moral sense is like our sense of taste. We have natural receptors that help us pick up sweetness and saltiness. In the same way, we have natural receptors that help us recognize fairness and cruelty. Just as a few universal tastes can grow into many different cuisines, a few moral senses can grow into many different moral cultures.
  • Paul Bloom of Yale noted that this moral sense can be observed early in life. Bloom and his colleagues conducted an experiment in which they showed babies a scene featuring one figure struggling to climb a hill, another figure trying to help it, and a third trying to hinder it. At as early as six months, the babies showed a preference for the helper over the hinderer. In some plays, there is a second act. The hindering figure is either punished or rewarded. In this case, 8-month-olds preferred a character who was punishing the hinderer over ones being nice to it.
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  • This illustrates, Bloom says, that people have a rudimentary sense of justice from a very early age. This doesn’t make people naturally good. If you give a 3-year-old two pieces of candy and ask him if he wants to share one of them, he will almost certainly say no. It’s not until age 7 or 8 that even half the children are willing to share. But it does mean that social norms fall upon prepared ground. We come equipped to learn fairness and other virtues.
  • If you ask for donations with the photo and name of one sick child, you are likely to get twice as much money than if you had asked for donations with a photo and the names of eight children. Our minds respond more powerfully to the plight of an individual than the plight of a group.
  • If you are in a bad mood you will make harsher moral judgments than if you’re in a good mood or have just seen a comedy. As Elizabeth Phelps of New York University points out, feelings of disgust will evoke a desire to expel things, even those things unrelated to your original mood. General fear makes people risk-averse. Anger makes them risk-seeking.
  • People who behave morally don’t generally do it because they have greater knowledge; they do it because they have a greater sensitivity to other people’s points of view.
  • The moral naturalists differ over what role reason plays in moral judgments. Some, like Haidt, believe that we make moral judgments intuitively and then construct justifications after the fact. Others, like Joshua Greene of Harvard, liken moral thinking to a camera. Most of the time we rely on the automatic point-and-shoot process, but occasionally we use deliberation to override the quick and easy method.
  • For people wary of abstract theorizing, it’s nice to see people investigating morality in ways that are concrete and empirical. But their approach does have certain implicit tendencies. They emphasize group cohesion over individual dissent. They emphasize the cooperative virtues, like empathy, over the competitive virtues, like the thirst for recognition and superiority. At this conference, they barely mentioned the yearning for transcendence and the sacred, which plays such a major role in every human society. Their implied description of the moral life is gentle, fair and grounded. But it is all lower case. So far, at least, it might not satisfy those who want their morality to be awesome, formidable, transcendent or great.
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    The Moral Naturalists By DAVID BROOKS Published: July 22, 2010
Weiye Loh

Roger Pielke Jr.'s Blog: Richard Muller on NPR: Don't Play With the Peer Review System - 0 views

  • CONAN: Do you find that, though, there is a lot of ideology in this business? Prof. MULLER: Well, I think what's happened is that many scientists have gotten so concerned about global warming, correctly concerned I mean they look at it and they draw a conclusion, and then they're worried that the public has not been concerned, and so they become advocates. And at that point, it's unfortunate, I feel that they're not trusting the public. They're not presenting the science to the public. They're presenting only that aspect to the science that will convince the public. That's not the way science works. And because they don't trust the public, in the end the public doesn't trust them. And the saddest thing from this, I think, is a loss of credibility of scientists because so many of them have become advocates.
  • CONAN: And that's, you would say, would be at the heart of the so-called Climategate story, where emails from some scientists seemed to be working to prevent the work of other scientists from appearing in peer-reviewed journals. Prof. MULLER: That really shook me up when I learned about that. I think that Climategate is a very unfortunate thing that happened, that the scientists who were involved in that, from what I've read, didn't trust the public, didn't even trust the scientific public. They were not showing the discordant data. That's something that - as a scientist I was trained you always have to show the negative data, the data that disagrees with you, and then make the case that your case is stronger. And they were hiding the data, and a whole discussion of suppressing publications, I thought, was really unfortunate. It was not at a high point for science
  • And I really get even more upset when some other people say, oh, science is just a human activity. This is the way it happens. You have to recognize, these are people. No, no, no, no. These are not scientific standards. You don't hide the data. You don't play with the peer review system.
Weiye Loh

Genetic Sequencing Will Have to Wait: Links Between Genes and Behavior Still Largely Un... - 0 views

  • A recent article in The New York Times reported that over 100 studies show a relationship between genes and criminality but that the environment plays a key role in the effects of this relationship: “Kevin Beaver, an associate professor at Florida State University’s College of Criminology and Criminal Justice, said genetics may account for, say, half of a person’s aggressive behavior, but that 50 percent comprises hundreds or thousands of genes that express themselves differently depending on the environment. He has tried to measure which circumstances — having delinquent friends, living in a disadvantaged neighborhood — influence whether a predisposition to violence surfaces. After studying twins and siblings, he came up with an astonishing result: In boys not exposed to the risk factors, genetics played no role in any of their violent behavior. The positive environment had prevented the genetic switches — to use Mr. Pinker’s word — that affect aggression from being turned on. In boys with eight or more risk factors, however, genes explained 80 percent of their violence. Their switches had been flipped.”
  • “This idea that if something is genetic it’s deterministic is a misconception that we have to get over because saying that genes are involved in depression does not necessarily mean that someone who has certain genetic variants is doomed to become depressed, it just means that under certain circumstances, he or she may have to do certain things to help alleviate it, but it’s not unchangeable. You can change your brain, you can change your brain in many different ways and genetics is just one of many of these ways.”
  • In fact, environment plays the same crucial role for criminality as it does for obesity and depression. In an interview I did for a story in The Michigan Daily on depression research, Dr. Margit Burmeister, a professor of human genetics and a researcher in the Molecular and Biological Neuroscience Institute at the University of Michigan, explained the dangers the public oversimplifying the link between genetics and depression:
Weiye Loh

Technology and Inequality - Kenneth Rogoff - Project Syndicate - 0 views

  • it is easy to forget that market forces, if allowed to play out, might eventually exert a stabilizing role. Simply put, the greater the premium for highly skilled workers, the greater the incentive to find ways to economize on employing their talents.
  • one of the main ways to uncover cheating is by using a computer program to detect whether a player’s moves consistently resemble the favored choices of various top computer programs.
  • many other examples of activities that were once thought exclusively the domain of intuitive humans, but that computers have come to dominate. Many teachers and schools now use computer programs to scan essays for plagiarism
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  • computer-grading of essays is a surging science, with some studies showing that computer evaluations are fairer, more consistent, and more informative than those of an average teacher, if not necessarily of an outstanding one.
  • the relative prices of grains, metals, and many other basic goods tended to revert to a central mean tendency over sufficiently long periods. We conjectured that even though random discoveries, weather events, and technologies might dramatically shift relative values for certain periods, the resulting price differentials would create incentives for innovators to concentrate more attention on goods whose prices had risen dramatically.
  • people are not goods, but the same principles apply. As skilled labor becomes increasingly expensive relative to unskilled labor, firms and businesses have a greater incentive to find ways to “cheat” by using substitutes for high-price inputs. The shift might take many decades, but it also might come much faster as artificial intelligence fuels the next wave of innovation.
  • Many commentators seem to believe that the growing gap between rich and poor is an inevitable byproduct of increasing globalization and technology. In their view, governments will need to intervene radically in markets to restore social balance. I disagree. Yes, we need genuinely progressive tax systems, respect for workers’ rights, and generous aid policies on the part of rich countries. But the past is not necessarily prologue: given the remarkable flexibility of market forces, it would be foolish, if not dangerous, to infer rising inequality in relative incomes in the coming decades by extrapolating from recent trends.
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    Until now, the relentless march of technology and globalization has played out hugely in favor of high-skilled labor, helping to fuel record-high levels of income and wealth inequality around the world. Will the endgame be renewed class warfare, with populist governments coming to power, stretching the limits of income redistribution, and asserting greater state control over economic life?
Weiye Loh

Drone journalism takes off - ABC News (Australian Broadcasting Corporation) - 0 views

  • Instead of acquiring military-style multi-million dollar unmanned aerial vehicles the size of small airliners, the media is beginning to go micro, exploiting rapid advances in technology by deploying small toy-like UAVs to get the story.
  • Last November, drone journalism hit the big time after a Polish activist launched a small craft with four helicopter-like rotors called a quadrocopter. He flew the drone low over riot police lines to record a violent demonstration in Warsaw. The pictures were extraordinarily different from run-of-the-mill protest coverage.Posted online, the images went viral. More significantly, this birds-eye view clip found its way onto the bulletins and web pages of mainstream media.
  • Drone Journalism Lab, a research project to determine the viability of remote airborne media.
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    Drones play an increasing and controversial role in modern warfare. From Afghanistan and Pakistan to Iran and Yemen, they have become a ubiquitous symbol of Washington's war on terrorism. Critics point to the mounting drone-induced death toll as evidence that machines, no matter how sophisticated, cannot discriminate between combatants and innocent bystanders. Now drones are starting to fly into a more peaceful, yet equally controversial role in the media. Rapid technological advances in low-cost aerial platforms herald the age of drone journalism. But it will not be all smooth flying: this new media tool can expect to be buffeted by the issues of safety, ethics and legality.
Weiye Loh

Rod Beckstrom proposes ways to reclaim control over our online selves. - Project Syndicate - 0 views

  • As the virtual world expands, so, too, do breaches of trust and misuse of personal data. Surveillance has increased public unease – and even paranoia – about state agencies. Private companies that trade in personal data have incited the launch of a “reclaim privacy” movement. As one delegate at a recent World Economic Forum debate, noted: “The more connected we have become, the more privacy we have given up.”
  • Now that our personal data have become such a valuable asset, companies are coming under increasing pressure to develop online business models that protect rather than exploit users’ private information. In particular, Internet users want to stop companies befuddling their customers with convoluted and legalistic service agreements in order to extract and sell their data.
  • Hyper-connectivity not only creates new commercial opportunities; it also changes the way ordinary people think about their lives. The so-called FoMo (fear of missing out) syndrome reflects the anxieties of a younger generation whose members feel compelled to capture instantly everything they do and see.CommentsView/Create comment on this paragraphIronically, this hyper-connectivity has increased our insularity, as we increasingly live through our electronic devices. Neuroscientists believe that this may even have altered how we now relate to one another in the real world.
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  • At the heart of this debate is the need to ensure that in a world where many, if not all, of the important details of our lives – including our relationships – exist in cyber-perpetuity, people retain, or reclaim, some level of control over their online selves. While the world of forgetting may have vanished, we can reshape the new one in a way that benefits rather than overwhelms us. Our overriding task is to construct a digital way of life that reinforces our existing sense of ethics and values, with security, trust, and fairness at its heart.
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    "We must answer profound questions about the way we live. Should everyone be permanently connected to everything? Who owns which data, and how should information be made public? Can and should data use be regulated, and, if so, how? And what role should government, business, and ordinary Internet users play in addressing these issues?"
Meenatchi

Online Defamation - 0 views

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    Interesting Case In summary, the article discusses the court ruling of an online defamation case that took place in Korea. It involves Kim, the victim, who experienced the spread of false articles and defamatory comments that blamed him for his ex-girlfriend's suicide. The final verdict held Internet portals liable for the damages caused by the articles they displayed on their website. This is despite the articles having been provided by external media outlets. The Supreme Court ordered four of the major portals involved in the case to pay a combined 30 million ($22,500) as compensation to Kim. Ethical Question I feel there are a few ethical issues that are at play in this case. One would be if it is ethical to publish sensitive information about an individual without his/her permission on the Internet. This is of more importance when the credibility of the information is dubious. Another ethical question would be if Internet Service Providers can be held responsible for information they did not create. Is it fair to charge them on the basis that they have failed to regulate the content displayed on their sites? Problem The problem with the first ethical question is that it creates a question of individual privacy rights against the freedom of speech for another. Publishing sensitive information that might not even be true about an individual infringes his/her privacy rights. However, it is the right of the publisher to have the freedom of speech to state what he/she thinks. The issue with the second ethical question is that the Internet Service Providers merely provide a platform for people to express their views. They should not be held liable for comments posted by individuals using the website. However, the opposing view would expect the ISPs to be responsible for the content they allow to be displayed on their site. They have to regulate the content to ensure that sensitive or controversial information that would cause irrevocable damage to others
joanne ye

BBC NEWS | UK | Magazine | When can you speak ill of the dead? - 0 views

  • "It's a hostage to fortune to say nice things when someone dies. And reacting to this one was particularly tricky. For a long time he's been Wacko Jacko. So he wasn't someone who was unequivocally lauded."
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    Case It has been almost two months since Michael Jackson died. Some would call him "the King of Pop" and some would call him "Wacko Jacko". The latter term mostly derived due to his past child abuse cases, which he was never convicted and once acquitted. Problem The judgement of whether Michael Jackson was a good person is hard to reach a conclusion because we will always get both positive and negative accounts. Regardless of whether these accounts constitute misinformation, people (even those who have never met him) continue to talk about him because he was a celebrity (moreover one who had recently passed away). Given his recent death, negative comments (especially if they are misinformation) can really hurt those who love (i.e. family members) or adore (i.e. fans) him. However, positive comments can be misinformation too. Does his recent death make positive misinformation more acceptable? If he really did commit child abuse crimes (note: big assumption here), does that make positive misinformation towards him unjustified (especially to his victims)? Hence, the ethical problem here is the way people should go about talking about other people. Questions 1. We know the old saying, "don't speak ill of the dead". This is in conjunction with Kant's categorical imperative to respect other human beings. Adopting duty-based morality, should the negative comments about Michael Jackson (whether they constitute misinformation or not) be reduced or even stopped? 2. Adopting rights-based morality (specifically the right to free speech) should people be allowed to talk about whatever they want (including new media platform) in whatever way they want to? Should regulation by the authority be implemented? 3. Adopting similar duty-based morality to question one (specifically the virtue of not lying), should positive comments about Michael Jackson (whether they constitute misinformation or not) be increased or even exaggerated? 4. If Michael Jackson really did commit
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    4. If Michael Jackson really did commit child abuse crimes (note: big assumption here), due to the clash of duties (respect VS. not lying), should we talk about those crimes when we discuss about him in a public platform? Does just consequentialism come into play here?
Jody Poh

Subtitles, Lip Synching and Covers on YouTube - 13 views

I think that companies concerned over this issue due to the loss of potential income constitutes egoism. They mainly want to defend their interests without considering the beneficial impact of the ...

copyright youtube parody

Karin Tan

ASCAP Makes Outlandish Copyright Claims on Cell Phone Ringtones - 16 views

As is the beginnings of copyright laws, it is to place value on IP so that people will have the motivation and incentive to produce and create even more in the future. Therefore, by saying th...

Copyright

lee weiting

Man ordered to pay $675,000 over illegal downloading - 11 views

using the golden rule, i feel that the downloader should be arrested and fine. i believe no one will want their hard work to be duplicated and copied without proper recognition. some questions...

illegal downloading music copyright

Weiye Loh

Short Sharp Science: Computer beats human at Japanese chess for first time - 0 views

  • A computer has beaten a human at shogi, otherwise known as Japanese chess, for the first time.
  • computers have been beating humans at western chess for years, and when IBM's Deep Blue beat Gary Kasparov in 1997, it was greeted in some quarters as if computers were about to overthrow humanity. That hasn't happened yet, but after all, western chess is a relatively simple game, with only about 10123 possible games existing that can be played out. Shogi is a bit more complex, though, offering about 10224 possible games.
  • Japan's national broadcaster, NHK, reported that Akara "aggressively pursued Shimizu from the beginning". It's the first time a computer has beaten a professional human player.
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  • The Japan Shogi Association, incidentally, seems to have a deep fear of computers beating humans. In 2005, it introduced a ban on professional members playing computers without permission, and Shimizu's defeat was the first since a simpler computer system was beaten by a (male) champion, Akira Watanabe, in 2007.
  • Perhaps the association doesn't mind so much if a woman is beaten: NHK reports that the JSA will conduct an in-depth analysis of the match before it decides whether to allow the software to challenge a higher-ranking male professional player.
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    Computer beats human at Japanese chess for first time
Weiye Loh

MacIntyre on money « Prospect Magazine - 0 views

  • MacIntyre has often given the impression of a robe-ripping Savonarola. He has lambasted the heirs to the principal western ethical schools: John Locke’s social contract, Immanuel Kant’s categorical imperative, Jeremy Bentham’s utilitarian “the greatest happiness for the greatest number.” Yet his is not a lone voice in the wilderness. He can claim connections with a trio of 20th-century intellectual heavyweights: the late Elizabeth Anscombe, her surviving husband, Peter Geach, and the Canadian philosopher Charles Taylor, winner in 2007 of the Templeton prize. What all four have in common is their Catholic faith, enthusiasm for Aristotle’s telos (life goals), and promotion of Thomism, the philosophy of St Thomas Aquinas who married Christianity and Aristotle. Leo XIII (pope from 1878 to 1903), who revived Thomism while condemning communism and unfettered capitalism, is also an influence.
  • MacIntyre’s key moral and political idea is that to be human is to be an Aristotelian goal-driven, social animal. Being good, according to Aristotle, consists in a creature (whether plant, animal, or human) acting according to its nature—its telos, or purpose. The telos for human beings is to generate a communal life with others; and the good society is composed of many independent, self-reliant groups.
  • MacIntyre differs from all these influences and alliances, from Leo XIII onwards, in his residual respect for Marx’s critique of capitalism.
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  • MacIntyre begins his Cambridge talk by asserting that the 2008 economic crisis was not due to a failure of business ethics.
  • he has argued that moral behaviour begins with the good practice of a profession, trade, or art: playing the violin, cutting hair, brick-laying, teaching philosophy.
  • In other words, the virtues necessary for human flourishing are not a result of the top-down application of abstract ethical principles, but the development of good character in everyday life.
  • After Virtue, which is in essence an attack on the failings of the Enlightenment, has in its sights a catalogue of modern assumptions of beneficence: liberalism, humanism, individualism, capitalism. MacIntyre yearns for a single, shared view of the good life as opposed to modern pluralism’s assumption that there can be many competing views of how to live well.
  • In philosophy he attacks consequentialism, the view that what matters about an action is its consequences, which is usually coupled with utilitarianism’s “greatest happiness” principle. He also rejects Kantianism—the identification of universal ethical maxims based on reason and applied to circumstances top down. MacIntyre’s critique routinely cites the contradictory moral principles adopted by the allies in the second world war. Britain invoked a Kantian reason for declaring war on Germany: that Hitler could not be allowed to invade his neighbours. But the bombing of Dresden (which for a Kantian involved the treatment of people as a means to an end, something that should never be countenanced) was justified under consequentialist or utilitarian arguments: to bring the war to a swift end.
  • MacIntyre seeks to oppose utilitarianism on the grounds that people are called on by their very nature to be good, not merely to perform acts that can be interpreted as good. The most damaging consequence of the Enlightenment, for MacIntyre, is the decline of the idea of a tradition within which an individual’s desires are disciplined by virtue. And that means being guided by internal rather than external “goods.” So the point of being a good footballer is the internal good of playing beautifully and scoring lots of goals, not the external good of earning a lot of money. The trend away from an Aristotelian perspective has been inexorable: from the empiricism of David Hume, to Darwin’s account of nature driven forward without a purpose, to the sterile analytical philosophy of AJ Ayer and the “demolition of metaphysics” in his 1936 book Language, Truth and Logic.
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    The influential moral philosopher Alasdair MacIntyre has long stood outside the mainstream. Has the financial crisis finally vindicated his critique of global capitalism?
Weiye Loh

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

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

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

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