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The Refiner's Fire - NYTimes.com - 0 views

  • In 2005, Michael Ignatieff left a teaching job at Harvard to enter politics in his native Canada
  • In Parliament, he became a total partisan, putting, as one must, loyalty to the group above loyalty to truth. He had no friends who were not in his own party. He loathed the other side. “We never wasted a single breath trying to convince each other of anything,” he recalls.
  • He quickly came to understand how politics is different from academia. In academia, you use words to persuade or discover; in politics, you use words to establish a connection. Academia is a cerebral enterprise, but politics is a physical enterprise, a charismatic form of athletics in which you touch people to show you care.In academia, the goal is to come up with a timeless truth. In politics, timing is everything, knowing when the time is ripe for a certain proposal. In academia, the idea is to take a stand based on what you believe; in politics, the idea is to position yourself along a left-right axis in a way that will differentiate you from your opponents and help you win a majority.In academia, a certain false modesty is encouraged; in politics, you have to self-dramatize a fable about yourself — concoct a story to show how your life connects to certain policies. In academia, you are rewarded for candor, intellectual rigor and a willingness to follow an idea to its logical conclusion. In politics, all of these traits are ruinous.
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  • He learned that when you are attacking your opponent, you have to hit his strengths because his weaknesses will take care of themselves. Political discourse, he came to see, is not really a debate about issues; it is a verbal contest to deny your opponents of standing, or as we would say, legitimacy. “Of the three elections that I fought, none was a debate on the country’s future. All were vicious battles over standing.”
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How To Look Smart, Ctd - The Daily Dish | By Andrew Sullivan - 0 views

  • The Atlantic Home todaysDate();Tuesday, February 8, 2011Tuesday, February 8, 2011 Go Follow the Atlantic » Politics Presented by When Ronald Reagan Endorsed Ron Paul Joshua Green Epitaph for the DLC Marc Ambinder A Hard Time Raising Concerns About Egypt Chris Good Business Presented by Could a Hybrid Mortgage System Work? Daniel Indiviglio Fighting Bias in Academia Megan McArdle The Tech Revolution For Seniors Derek Thompson Culture Presented By 'Tiger Mother' Creates a New World Order James Fallows Justin Bieber: Daydream Believer James Parker <!-- /li
  • these questions tend to overlook the way IQ tests are designed. As a neuropsychologist who has administered hundreds of these measures, I can tell you that their structures reflect a deeply embedded bias toward intelligence as a function of reading skills
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For Scientists, an Exploding World of Pseudo-Academia - NYTimes.com - 0 views

  • a parallel world of pseudo-academia, complete with prestigiously titled conferences and journals that sponsor them. Many of the journals and meetings have names that are nearly identical to those of established, well-known publications and events.
  • the dark side of open access,” the movement to make scholarly publications freely available.
  • The number of these journals and conferences has exploded in recent years as scientific publishing has shifted from a traditional business model for professional societies and organizations built almost entirely on subscription revenues to open access, which relies on authors or their backers to pay for the publication of papers online, where anyone can read them.
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  • Open access got its start about a decade ago and quickly won widespread acclaim with the advent of well-regarded, peer-reviewed journals like those published by the Public Library of Science, known as PLoS. Such articles were listed in databases like PubMed, which is maintained by the National Library of Medicine, and selected for their quality.
  • Jeffrey Beall, a research librarian at the University of Colorado in Denver, has developed his own blacklist of what he calls “predatory open-access journals.” There were 20 publishers on his list in 2010, and now there are more than 300. He estimates that there are as many as 4,000 predatory journals today, at least 25 percent of the total number of open-access journals.
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2013 Life Sciences Salary Survey | The Scientist Magazine® - 0 views

  • US researchers across academia, industry, and government earn an average of nearly $96,000 per year in total compensation, including base salary, bonuses, and other income, compared with a European average of just $66,700. Life scientists in Canada come in right in the middle, at $78,200, while researchers in India lag far behind, earning an average of just $11,200.
  • life sciences, could explain the oft-cited “brain drain,” which has seen foreign researchers flock to the U.S. in search of good jobs with ample compensation.
  • Across the globe, scientists earn a wide range of salaries, with US researchers earning nearly $96,000 total compensation per year while India lags far behind at less than $11,200, though this discrepancy is at least partly explained by the vast differences in cost of living in the two countries. Still, this enormous gulf is a strong driver of “brain drain
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  • Dramatic budget cuts in the past few years, however, may make US academia less of a paradise.
  • Europe make around 50 percent of what full professors there make, postdocs in the U.S. earn less than a third of a professor’s salary.
  • European salaries also lag behind those in the U.S., with the average European life scientist making anywhere from 41 to 82 percent of what the average American researcher earns.
  • Equal Pay Act prohibited unequal pay for men and women doing the same jobs. But salary disparities remain, including in the life sciences. “It is a persistent problem,” says Curtis. “It’s important for people to realize that there are continuing inequalities.” In this year’s survey, for example, male respondents in the U.S. reported an average total income of around $111,000 per year, while their female counterparts averaged just $77,000 in annual pay.
  • fewer women make it to high-level positions than men do, says Curtis.
  • life-science specialty is often tomorrow’s overcrowded field. Case in point: genomics versus genetics. Genomics relies heavily on bioinformatics, mathematics, and computational modeling
  • survey highlights the well-established discrepancy between industry and academic salaries. According to the data, life scientists in industry make around $136,000 per year, compared to average academic earnings of $85,000.
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Americans' views of God shape attitudes on key issues - USATODAY.com - 0 views

  • Based primarily on national telephone surveys of 1,648 U.S. adults in 2008 and 1,721 in 2006, the book also draws from more than 200 in-depth interviews that, among other things, asked people to respond to a dozen evocative images
  • • Punishing?
  • "one clear finding is that the USA — where images of a personal God engaged in our lives dominate — is an outlier in the world of technologically advanced nations such as (those in) Europe." There, the view is almost entirely one of a Big Bang sort of God who launched creation and left it spinning rather than a God who has a direct influence on daily events.
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  • Froese and Bader's research wound up defining four ways in which Americans see God: •The Authoritative God. When conservatives Sarah Palin or Glenn Beck proclaim that America will lose God's favor unless we get right with him, they're rallying believers in what Froese and Bader call an Authoritative God, one engaged in history and meting out harsh punishment to those who do not follow him. About 28% of the nation shares this view, according to Baylor's 2008 findings. "They divide the world by good and evil and appeal to people who are worried, concerned and scared," Froese says. "They respond to a powerful God guiding this country, and if we don't explicitly talk about (that) God, then we have the wrong God or no God at all."
  • •The Benevolent God. When President Obama says he is driven to live out his Christian faith in public service, or political satirist Stephen Colbert mentions God while testifying to Congress in favor of changing immigration laws, they're speaking of what the Baylor researchers call a Benevolent God. This God is engaged in our world and loves and supports us in caring for others, a vision shared by 22% of Americans, according to Baylor's findings. "Rhetoric that talks about the righteous vs. the heathen doesn't appeal to them," Froese says. "Their God is a force for good who cares for all people, wee
  • •The Critical God. The poor, the suffering and the exploited in this world often believe in a Critical God who keeps an eye on this world but delivers justice in the next, Bader says. Bader says this view of God — held by 21% of Americans — was reflected in a sermon at a working-class neighborhood church the researchers visited in Rifle, Colo., in 2008. Pastor Del Whittington's theme at Open Door Church was " 'Wait until heaven, and accounts will be settled.'
  • •The Distant God. Though about 5% of Americans are atheists or agnostics, Baylor found that nearly one in four (24%) see a Distant God that booted up the universe, then left humanity alone. This doesn't mean that such people have no religion. It's the dominant view of Jews and other followers of world religions and philosophies such as Buddhism or Hinduism, the Baylor research finds.
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Who Decides What's Racist? - Persuasion - 1 views

  • The implication of Hannah-Jones’s tweet and candidate Biden’s quip seems to be that you can have African ancestry, dark skin, textured hair, and perhaps even some “culturally black” traits regarding tastes in food, music, and ways of moving through the world. But unless you hold the “correct” political beliefs and values, you are not authentically black.
  • In a now-deleted tweet from May 22, 2020, Nikole Hannah-Jones, a Pulitzer Prize-winning reporter for The New York Times, opined, “There is a difference between being politically black and being racially black.”
  • Shelly Eversley’s The Real Negro suggests that in the latter half of the 20th century, the criteria of what constitutes “authentic” black experience moved from perceptible outward signs, like the fact of being restricted to segregated public spaces and speaking in a “black” dialect, to psychological, interior signs. In this new understanding, Eversley writes, “the ‘truth’ about race is felt, not performed, not seen.”
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  • This insight goes a long way to explaining the current fetishization of experience, especially if it is (redundantly) “lived.” Black people from all walks of life find themselves deferred to by non-blacks
  • black people certainly don’t all “feel” or “experience” the same things. Nor do they all "experience" the same event in an identical way. Finally, even when their experiences are similar, they don’t all think about or interpret their experiences in the same way.
  • we must begin to attend in a serious way to heterodox black voices
  • This need is especially urgent given the ideological homogeneity of the “antiracist” outlook and efforts of elite institutions, including media, corporations, and an overwhelmingly progressive academia. For the arbiters of what it means to be black that dominate these institutions, there is a fairly narrowly prescribed “authentic” black narrative, black perspective, and black position on every issue that matters.
  • When we hear the demand to “listen to black voices,” what is usually meant is “listen to the right black voices.”
  • Many non-black people have heard a certain construction of “the black voice” so often that they are perplexed by black people who don’t fit the familiar model.
  • Similarly, many activists are not in fact “pro-black”: they are pro a rather specific conception of “blackness” that is not necessarily endorsed by all black people.
  • This is where our new website, Free Black Thought (FBT), seeks to intervene in the national conversation. FBT honors black individuals for their distinctive, diverse, and heterodox perspectives, and offers up for all to hear a polyphony, perhaps even a cacophony, of different and differing black voices.
  • The practical effects of the new antiracism are everywhere to be seen, but in few places more clearly than in our children’s schools
  • one might reasonably question what could be wrong with teaching children “antiracist” precepts. But the details here are full of devils.
  • To take an example that could affect millions of students, the state of California has adopted a statewide Ethnic Studies Model Curriculum (ESMC) that reflects “antiracist” ideas. The ESMC’s content inadvertently confirms that contemporary antiracism is often not so much an extension of the civil rights movement but in certain respects a tacit abandonment of its ideals.
  • It has thus been condemned as a “perversion of history” by Dr. Clarence Jones, MLK’s legal counsel, advisor, speechwriter, and Scholar in Residence at the Martin Luther King, Jr. Institute at Stanford University:
  • Essentialist thinking about race has also gained ground in some schools. For example, in one elite school, students “are pressured to conform their opinions to those broadly associated with their race and gender and to minimize or dismiss individual experiences that don’t match those assumptions.” These students report feeling that “they must never challenge any of the premises of [the school’s] ‘antiracist’ teachings.”
  • In contrast, the non-white students were taught that they were “folx (sic) who do not benefit from their social identities,” and “have little to no privilege and power.”
  • The children with “white” in their identity map were taught that they were part of the “dominant culture” which has been “created and maintained…to hold power and stay in power.” They were also taught that they had “privilege” and that “those with privilege have power over others.
  • Or consider the third-grade students at R.I. Meyerholz Elementary School in Cupertino, California
  • Or take New York City’s public school system, one of the largest educators of non-white children in America. In an effort to root out “implicit bias,” former Schools Chancellor Richard Carranza had his administrators trained in the dangers of “white supremacy culture.”
  • A slide from a training presentation listed “perfectionism,” “individualism,” “objectivity” and “worship of the written word” as white supremacist cultural traits to be “dismantled,”
  • Finally, some schools are adopting antiracist ideas of the sort espoused by Ibram X. Kendi, according to whom, if metrics such as tests and grades reveal disparities in achievement, the project of measuring achievement must itself be racist.
  • Parents are justifiably worried about such innovations. What black parent wants her child to hear that grading or math are “racist” as a substitute for objective assessment and real learning? What black parent wants her child told she shouldn’t worry about working hard, thinking objectively, or taking a deep interest in reading and writing because these things are not authentically black?
  • Clearly, our children’s prospects for success depend on the public being able to have an honest and free-ranging discussion about this new antiracism and its utilization in schools. Even if some black people have adopted its tenets, many more, perhaps most, hold complex perspectives that draw from a constellation of rather different ideologies.
  • So let’s listen to what some heterodox black people have to say about the new antiracism in our schools.
  • Coleman Hughes, a fellow at the Manhattan Institute, points to a self-defeating feature of Kendi-inspired grading and testing reforms: If we reject high academic standards for black children, they are unlikely to rise to “those same rejected standards” and racial disparity is unlikely to decrease
  • Chloé Valdary, the founder of Theory of Enchantment, worries that antiracism may “reinforce a shallow dogma of racial essentialism by describing black and white people in generalizing ways” and discourage “fellowship among peers of different races.”
  • We hope it’s obvious that the point we’re trying to make is not that everyone should accept uncritically everything these heterodox black thinkers say. Our point in composing this essay is that we all desperately need to hear what these thinkers say so we can have a genuine conversation
  • We promote no particular politics or agenda beyond a desire to offer a wide range of alternatives to the predictable fare emanating from elite mainstream outlets. At FBT, Marxists rub shoulders with laissez-faire libertarians. We have no desire to adjudicate who is “authentically black” or whom to prefer.
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UK mathematician wins richest prize in academia | Mathematics | The Guardian - 0 views

  • Martin Hairer, an Austrian-British researcher at Imperial College London, is the winner of the 2021 Breakthrough prize for mathematics, an annual $3m (£2.3m) award that has come to rival the Nobels in terms of kudos and prestige.
  • Hairer landed the prize for his work on stochastic analysis, a field that describes how random effects turn the maths of things like stirring a cup of tea, the growth of a forest fire, or the spread of a water droplet that has fallen on a tissue into a fiendishly complex problem.
  • His major work, a 180-page treatise that introduced the world to “regularity structures”, so stunned his colleagues that one suggested it must have been transmitted to Hairer by a more intelligent alien civilisation.
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  • After dallying with physics at university, Hairer moved into mathematics. The realisation that ideas in theoretical physics can be overturned and swiftly consigned to the dustbin did not appeal. “I wouldn’t really want to put my name to a result that could be superseded by something else three years later,” he said. “In mathematics, if you obtain a result then that is it. It’s the universality of mathematics, you discover absolute truths.”
  • Hairer’s expertise lies in stochastic partial differential equations, a branch of mathematics that describes how randomness throws disorder into processes such as the movement of wind in a wind tunnel or the creeping boundary of a water droplet landing on a tissue. When the randomness is strong enough, solutions to the equations get out of control. “In some cases, the solutions fluctuate so wildly that it is not even clear what the equation meant in the first place,” he said.
  • With the invention of regularity structures, Hairer showed how the infinitely jagged noise that threw his equations into chaos could be reframed and tamed.
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How the leading coronavirus vaccines made it to the finish line - The Washington Post - 0 views

  • If, as expected in the next few weeks, regulators give those vaccines the green light, the technology and the precision approach to vaccine design could turn out to be the pandemic’s silver linings: scientific breakthroughs that could begin to change the trajectory of the virus this winter and also pave the way for highly effective vaccines and treatments for other diseases.
  • Vaccine development typically takes years, even decades. The progress of the last 11 months shifts the paradigm for what’s possible, creating a new model for vaccine development and a toolset for a world that will have to fight more never-before-seen viruses in years to come.
  • Long before the pandemic, Graham worked with colleagues there and in academia to create a particularly accurate 3-D version of the spiky proteins that protrude from the surface of coronaviruses — an innovation that was rejected for publication by scientific journals five times because reviewers questioned its relevance.
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  • Messenger RNA is a powerful, if fickle, component of life’s building blocks — a workhorse of the cell that is also truly just a messenger, unstable and prone to degrade.
  • . In 1990,
  • That same year, a team at the University of Wisconsin startled the scientific world with a paper that showed it was possible to inject a snippet of messenger RNA into mice and turn their muscle cells into factories, creating proteins on demand.
  • If custom-designed RNA snippets could be used to turn cells into bespoke protein factories, messenger RNA could become a powerful medical tool. It could encode fragments of virus to teach the immune system to defend against pathogens. It could also create whole proteins that are missing or damaged in people with devastating genetic diseases, such as cystic fibrosis.
  • In 2005, the pair discovered a way to modify RNA, chemically tweaking one of the letters of its code, so it didn’t trigger an inflammatory response. Deborah Fuller, a scientist who works on RNA and DNA vaccines at the University of Washington, said that work deserves a Nobel Prize.
  • messenger RNA posed a bigger challenge than other targets.“It’s tougher — it’s a much bigger molecule, it’s much more unstable,”
  • Unlike fields that were sparked by a single powerful insight, Sahin said that the recent success of messenger RNA vaccines is a story of countless improvements that turned an alluring biological idea into a beneficial technology.
  • “This is a field which benefited from hundreds of inventions,” said Sahin, who noted that when he started BioNTech in 2008, he cautioned investors that the technology would not yield a product for at least a decade. He kept his word: Until the coronavirus sped things along, BioNTech projected the launch of its first commercial project in 2023.
  • “It’s new to you,” Fuller said. “But for basic researchers, it’s been long enough. . . . Even before covid, everyone was talking: RNA, RNA, RNA.”
  • All vaccines are based on the same underlying idea: training the immune system to block a virus. Old-fashioned vaccines do this work by injecting dead or weakened viruses
  • ewer vaccines use distinctive bits of the virus, such as proteins on their surface, to teach the lesson. The latest genetic techniques, like messenger RNA, don’t take as long to develop because those virus bits don’t have to be generated in a lab. Instead, the vaccine delivers a genetic code that instructs cells to build those characteristic proteins themselves.
  • They wanted the immune system to learn to recognize the thumb tack spike, so McLellan tasked a scientist in his laboratory with identifying genetic mutations that could anchor the protein into the right configuration. It was a painstaking process for Nianshuang Wang, who now works at a biotechnology company, Regeneron Pharmaceuticals. After trying hundreds of genetic mutations, he found two that worked. Five journals rejected the finding, questioning its significance, before it was published in 2017.
  • That infection opened Graham’s eyes to an opportunity. HKU1 was merely a nuisance, as opposed to a deadly pneumonia; that meant it would be easier to work with in the lab, since researchers wouldn’t have to don layers of protective gear and work in a pressurized laboratory.
  • Severe acute respiratory syndrome had emerged in 2003. Middle East respiratory syndrome (MERS) broke out in 2012. It seemed clear to Graham and Jason McLellan, a structural biologist now at the University of Texas at Austin, that new coronaviruses were jumping into people on a 10-year-clock and it might be time to brace for the next one.
  • Last winter, when Graham heard rumblings of a new coronavirus in China, he brought the team back together. Once its genome was shared online by Chinese scientists, the laboratories in Texas and Maryland designed a vaccine, utilizing the stabilizing mutations and the knowledge they had gained from years of basic research — a weekend project thanks to the dividends of all that past work.
  • Graham needed a technology that could deliver it into the body — and had already been working with Moderna, using its messenger RNA technology to create a vaccine against a different bat virus, Nipah, as a dress rehearsal for a real pandemic. Moderna and NIH set the Nipah project aside and decided to go forward with a coronavirus vaccine.
  • On Jan. 13, Moderna’s Moore came into work and found her team already busy translating the stabilized spike protein into their platform. The company could start making the vaccine almost right away because of its experience manufacturing experimental cancer vaccines, which involves taking tumor samples and developing personalized vaccines in 45 days.
  • At BioNTech, Sahin said that even in the early design phases of its vaccine candidates, he incorporated the slight genetic changes designed in Graham’s lab that would make the spike look more like the real thing. At least two other companies would incorporate that same spike.
  • If all goes well with regulators, the coronavirus vaccines have the makings of a pharmaceutical industry fairy tale. The world faced an unparalleled threat, and companies leaped into the fight. Pfizer plowed $2 billion into the effort. Massive infusions of government cash helped remove the financial risks for Moderna.
  • But the world will also owe their existence to many scientists outside those companies, in government and academia who pursued ideas they thought were important even when the world doubted them
  • Some of those scientists will receive remuneration, since their inventions are licensed and integrated into the products that could save the world.
  • As executives become billionaires, many scientists think it is fair to earn money from their inventions that can help them do more important work. But McLellan’s laboratory at the University of Texas is proud to have licensed an even more potent version of their spike protein, royalty-free, to be incorporated into a vaccine for low and middle income countries.
  • “They’re using the technology that [Kariko] and I developed,” he said. “We feel like it’s our vaccine, and we are incredibly excited — at how well it’s going, and how it’s going to be used to get rid of this pandemic.”
  • “People hear about [vaccine progress] and think someone just thought about it that night. The amount of work — it’s really a beautiful story of fundamental basic research,” Fauci said. “It was chancy, in the sense that [the vaccine technology] was new. We were aware there would be pushback. The proof in the pudding is a spectacular success.”
  • The Vaccine Research Center, where Graham is deputy director, was the brainchild of Anthony S. Fauci, director of the National Institute of Allergy and Infectious Diseases. It was created in 1997 to bring together scientists and physicians from different disciplines to defeat diseases, with a heavy focus on HIV.
  • the pandemic wasn’t a sudden eureka moment — it was a catalyst that helped ignite lines of research that had been moving forward for years, far outside the spotlight of a global crisis.
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Want to Boost the Economy? Invest in Science - NYTimes.com - 0 views

  • the longstanding bipartisan consensus on investing in science. With support from Congress, Mr. Clinton put research funding on a growth path, including a doubling over five years (completed under President George W. Bush) of the budget for the National Institutes of Health.
  • the $3.8 billion taxpayers invested in the Human Genome Project between 1988 and 2003 helped create and drive $796 billion in economic activity by industries that now depend on the advances achieved in genetics,
  • President Obama is proposing that the United States boost its overall national research and development investments — including private enterprise and academia as well as government — to 3 percent of gross domestic product — a number that would still lag behind Israel, Sweden, Japan and South Korea, in that order.
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The Man Who Would Teach Machines to Think - James Somers - The Atlantic - 1 views

  • Douglas Hofstadter, the Pulitzer Prize–winning author of Gödel, Escher, Bach, thinks we've lost sight of what artificial intelligence really means. His stubborn quest to replicate the human mind.
  • “If somebody meant by artificial intelligence the attempt to understand the mind, or to create something human-like, they might say—maybe they wouldn’t go this far—but they might say this is some of the only good work that’s ever been done
  • Their operating premise is simple: the mind is a very unusual piece of software, and the best way to understand how a piece of software works is to write it yourself.
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  • “It depends on what you mean by artificial intelligence.”
  • Computers are flexible enough to model the strange evolved convolutions of our thought, and yet responsive only to precise instructions. So if the endeavor succeeds, it will be a double victory: we will finally come to know the exact mechanics of our selves—and we’ll have made intelligent machines.
  • Ever since he was about 14, when he found out that his youngest sister, Molly, couldn’t understand language, because she “had something deeply wrong with her brain” (her neurological condition probably dated from birth, and was never diagnosed), he had been quietly obsessed by the relation of mind to matter.
  • How could consciousness be physical? How could a few pounds of gray gelatin give rise to our very thoughts and selves?
  • Consciousness, Hofstadter wanted to say, emerged via just the same kind of “level-crossing feedback loop.”
  • In 1931, the Austrian-born logician Kurt Gödel had famously shown how a mathematical system could make statements not just about numbers but about the system itself.
  • But then AI changed, and Hofstadter didn’t change with it, and for that he all but disappeared.
  • By the early 1980s, the pressure was great enough that AI, which had begun as an endeavor to answer yes to Alan Turing’s famous question, “Can machines think?,” started to mature—or mutate, depending on your point of view—into a subfield of software engineering, driven by applications.
  • Take Deep Blue, the IBM supercomputer that bested the chess grandmaster Garry Kasparov. Deep Blue won by brute force.
  • Hofstadter wanted to ask: Why conquer a task if there’s no insight to be had from the victory? “Okay,” he says, “Deep Blue plays very good chess—so what? Does that tell you something about how we play chess? No. Does it tell you about how Kasparov envisions, understands a chessboard?”
  • AI started working when it ditched humans as a model, because it ditched them. That’s the thrust of the analogy: Airplanes don’t flap their wings; why should computers think?
  • It’s a compelling point. But it loses some bite when you consider what we want: a Google that knows, in the way a human would know, what you really mean when you search for something
  • Cognition is recognition,” he likes to say. He describes “seeing as” as the essential cognitive act: you see some lines a
  • How do you make a search engine that understands if you don’t know how you understand?
  • s “an A,” you see a hunk of wood as “a table,” you see a meeting as “an emperor-has-no-clothes situation” and a friend’s pouting as “sour grapes”
  • That’s what it means to understand. But how does understanding work?
  • analogy is “the fuel and fire of thinking,” the bread and butter of our daily mental lives.
  • there’s an analogy, a mental leap so stunningly complex that it’s a computational miracle: somehow your brain is able to strip any remark of the irrelevant surface details and extract its gist, its “skeletal essence,” and retrieve, from your own repertoire of ideas and experiences, the story or remark that best relates.
  • in Hofstadter’s telling, the story goes like this: when everybody else in AI started building products, he and his team, as his friend, the philosopher Daniel Dennett, wrote, “patiently, systematically, brilliantly,” way out of the light of day, chipped away at the real problem. “Very few people are interested in how human intelligence works,”
  • For more than 30 years, Hofstadter has worked as a professor at Indiana University at Bloomington
  • The quick unconscious chaos of a mind can be slowed down on the computer, or rewound, paused, even edited
  • project out of IBM called Candide. The idea behind Candide, a machine-translation system, was to start by admitting that the rules-based approach requires too deep an understanding of how language is produced; how semantics, syntax, and morphology work; and how words commingle in sentences and combine into paragraphs—to say nothing of understanding the ideas for which those words are merely conduits.
  • , Hofstadter directs the Fluid Analogies Research Group, affectionately known as FARG.
  • Parts of a program can be selectively isolated to see how it functions without them; parameters can be changed to see how performance improves or degrades. When the computer surprises you—whether by being especially creative or especially dim-witted—you can see exactly why.
  • When you read Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought, which describes in detail this architecture and the logic and mechanics of the programs that use it, you wonder whether maybe Hofstadter got famous for the wrong book.
  • ut very few people, even admirers of GEB, know about the book or the programs it describes. And maybe that’s because FARG’s programs are almost ostentatiously impractical. Because they operate in tiny, seemingly childish “microdomains.” Because there is no task they perform better than a human.
  • “The entire effort of artificial intelligence is essentially a fight against computers’ rigidity.”
  • “Nobody is a very reliable guide concerning activities in their mind that are, by definition, subconscious,” he once wrote. “This is what makes vast collections of errors so important. In an isolated error, the mechanisms involved yield only slight traces of themselves; however, in a large collection, vast numbers of such slight traces exist, collectively adding up to strong evidence for (and against) particular mechanisms.
  • So IBM threw that approach out the window. What the developers did instead was brilliant, but so straightforward,
  • The technique is called “machine learning.” The goal is to make a device that takes an English sentence as input and spits out a French sentence
  • What you do is feed the machine English sentences whose French translations you already know. (Candide, for example, used 2.2&nbsp;million pairs of sentences, mostly from the bilingual proceedings of Canadian parliamentary debates.)
  • By repeating this process with millions of pairs of sentences, you will gradually calibrate your machine, to the point where you’ll be able to enter a sentence whose translation you don’t know and get a reasonable resul
  • Google Translate team can be made up of people who don’t speak most of the languages their application translates. “It’s a bang-for-your-buck argument,” Estelle says. “You probably want to hire more engineers instead” of native speakers.
  • But the need to serve 1&nbsp;billion customers has a way of forcing the company to trade understanding for expediency. You don’t have to push Google Translate very far to see the compromises its developers have made for coverage, and speed, and ease of engineering. Although Google Translate captures, in its way, the products of human intelligence, it isn’t intelligent itself.
  • “Did we sit down when we built Watson and try to model human cognition?” Dave Ferrucci, who led the Watson team at IBM, pauses for emphasis. “Absolutely not. We just tried to create a machine that could win at Jeopardy.”
  • For Ferrucci, the definition of intelligence is simple: it’s what a program can do. Deep Blue was intelligent because it could beat Garry Kasparov at chess. Watson was intelligent because it could beat Ken Jennings at Jeopardy.
  • “There’s a limited number of things you can do as an individual, and I think when you dedicate your life to something, you’ve got to ask yourself the question: To what end? And I think at some point I asked myself that question, and what it came out to was, I’m fascinated by how the human mind works, it would be fantastic to understand cognition, I love to read books on it, I love to get a grip on it”—he called Hofstadter’s work inspiring—“but where am I going to go with it? Really what I want to do is build computer systems that do something.
  • Peter Norvig, one of Google’s directors of research, echoes Ferrucci almost exactly. “I thought he was tackling a really hard problem,” he told me about Hofstadter’s work. “And I guess I wanted to do an easier problem.”
  • Of course, the folly of being above the fray is that you’re also not a part of it
  • As our machines get faster and ingest more data, we allow ourselves to be dumber. Instead of wrestling with our hardest problems in earnest, we can just plug in billions of examples of them.
  • Hofstadter hasn’t been to an artificial-intelligence conference in 30 years. “There’s no communication between me and these people,” he says of his AI peers. “None. Zero. I don’t want to talk to colleagues that I find very, very intransigent and hard to convince of anything
  • Everything from plate tectonics to evolution—all those ideas, someone had to fight for them, because people didn’t agree with those ideas.
  • Academia is not an environment where you just sit in your bath and have ideas and expect everyone to run around getting excited. It’s possible that in 50 years’ time we’ll say, ‘We really should have listened more to Doug Hofstadter.’ But it’s incumbent on every scientist to at least think about what is needed to get people to understand the ideas.”
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Minsky's moment | The Economist - 0 views

  • Minsky started with an explanation of investment. It is, in essence, an exchange of money today for money tomorrow. A firm pays now for the construction of a factory; profits from running the facility will, all going well, translate into money for it in coming years.
  • Put crudely, money today can come from one of two sources: the firm’s own cash or that of others (for example, if the firm borrows from a bank). The balance between the two is the key question for the financial system.
  • Minsky distinguished between three kinds of financing. The first, which he called “hedge financing”, is the safest: firms rely on their future cashflow to repay all their borrowings. For this to work, they need to have very limited borrowings and healthy profits. The second, speculative financing, is a bit riskier: firms rely on their cashflow to repay the interest on their borrowings but must roll over their debt to repay the principal. This should be manageable as long as the economy functions smoothly, but a downturn could cause distress. The third, Ponzi financing, is the most dangerous. Cashflow covers neither principal nor interest; firms are betting only that the underlying asset will appreciate by enough to cover their liabilities. If that fails to happen, they will be left exposed.
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  • Economies dominated by hedge financing—that is, those with strong cashflows and low debt levels—are the most stable. When speculative and, especially, Ponzi financing come to the fore, financial systems are more vulnerable. If asset values start to fall, either because of monetary tightening or some external shock, the most overstretched firms will be forced to sell their positions. This further undermines asset values, causing pain for even more firms. They could avoid this trouble by restricting themselves to hedge financing. But over time, particularly when the economy is in fine fettle, the temptation to take on debt is irresistible. When growth looks assured, why not borrow more? Banks add to the dynamic, lowering their credit standards the longer booms last. If defaults are minimal, why not lend more? Minsky’s conclusion was unsettling. Economic stability breeds instability. Periods of prosperity give way to financial fragility.
  • Minsky’s insight might sound obvious. Of course, debt and finance matter. But for decades the study of economics paid little heed to the former and relegated the latter to a sub-discipline, not an essential element in broader theories.
  • Minsky was a maverick. He challenged both the Keynesian backbone of macroeconomics and a prevailing belief in efficient markets.
  • t Messrs Hicks and Hansen largely left the financial sector out of the picture, even though Keynes was keenly aware of the importance of markets. To Minsky, this was an “unfair and naive representation of Keynes’s subtle and sophisticated views”. Minsky’s financial-instability hypothesis helped fill in the holes.
  • His challenge to the prophets of efficient markets was even more acute. Eugene Fama and Robert Lucas, among others, persuaded most of academia and policymaking circles that markets tended towards equilibrium as people digested all available information. The structure of the financial system was treated as almost irrelevant
  • In recent years, behavioural economists have attacked one plank of efficient-market theory: people, far from being rational actors who maximise their gains, are often clueless about what they want and make the wrong decisions.
  • But years earlier Minsky had attacked another: deep-seated forces in financial systems propel them towards trouble, he argued, with stability only ever a fleeting illusion.
  • Investors were faster than professors to latch onto his views. More than anyone else it was Paul McCulley of PIMCO, a fund-management group, who popularised his ideas. He coined the term “Minsky moment” to describe a situation when debt levels reach breaking-point and asset prices across the board start plunging. Mr McCulley initially used the term in explaining the Russian financial crisis of 1998. Since the global turmoil of 2008, it has become ubiquitous. For investment analysts and fund managers, a “Minsky moment” is now virtually synonymous with a financial crisis.
  • it would be a stretch to expect the financial-instability hypothesis to become a new foundation for economic theory. Minsky’s legacy has more to do with focusing on the right things than correctly structuring quantifiable models. It is enough to observe that debt and financial instability, his main preoccupations, have become some of the principal topics of inquiry for economists today
  • As Mr Krugman has quipped: “We are all Minskyites now.”
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Anti-vaccine activists, 9/11 deniers, and Google's social search. - Slate Magazine - 1 views

  • democratization of information-gathering—when accompanied by smart institutional and technological arrangements—has been tremendously useful, giving us Wikipedia and Twitter. But it has also spawned thousands of sites that undermine scientific consensus, overturn well-established facts, and promote conspiracy theories
  • Meanwhile, the move toward social search may further insulate regular visitors to such sites; discovering even more links found by their equally paranoid friends will hardly enlighten them.
  • Initially, the Internet helped them find and recruit like-minded individuals and promote events and petitions favorable to their causes. However, as so much of our public life has shifted online, they have branched out into manipulating search engines, editing Wikipedia entries, harassing scientists who oppose whatever pet theory they happen to believe in, and amassing digitized scraps of "evidence" that they proudly present to potential recruits.
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  • The Vaccine article contains a number of important insights. First, the anti-vaccination cohort likes to move the goal posts: As scientists debunked the link between autism and mercury (once present in some childhood inoculations but now found mainly in certain flu vaccines), most activists dropped their mercury theory and point instead to aluminum or said that kids received “too many too soon.”
  • Second, it isn't clear whether scientists can "discredit" the movement's false claims at all: Its members are skeptical of what scientists have to say—not least because they suspect hidden connections between academia and pharmaceutical companies that manufacture the vaccines.
  • mere exposure to the current state of the scientific consensus will not sway hard-core opponents of vaccination. They are too vested in upholding their contrarian theories; some have consulting and speaking gigs to lose while others simply enjoy a sense of belonging to a community, no matter how kooky
  • attempts to influence communities that embrace pseudoscience or conspiracy theories by having independent experts or, worse, government workers join them—the much-debated antidote of “cognitive infiltration” proposed by Cass Sunstein (who now heads the Office of Information and Regulatory Affairs in the White House)—w
  • perhaps, it's time to accept that many of these communities aren't going to lose core members regardless of how much science or evidence is poured on them. Instead, resources should go into thwarting their growth by targeting their potential—rather than existent—members.
  • Given that censorship of search engines is not an appealing or even particularly viable option, what can be done to ensure that users are made aware that all the pseudoscientific advice they are likely to encounter may not be backed by science?
  • One is to train our browsers to flag information that may be suspicious or disputed. Thus, every time a claim like "vaccination leads to autism" appears in our browser, that sentence woul
  • The second—and not necessarily mutually exclusive—option is to nudge search engines to take more responsibility for their index and exercise a heavier curatorial control in presenting search results for issues like "global warming" or "vaccination." Google already has a list of search queries that send most traffic to sites that trade in pseudoscience and conspiracy theories; why not treat them differently than normal queries? Thus, whenever users are presented with search results that are likely to send them to sites run by pseudoscientists or conspiracy theorists, Google may simply display a huge red banner asking users to exercise caution and check a previously generated list of authoritative resources before making up their minds.
  • In more than a dozen countries Google already does something similar for users who are searching for terms like "ways to die" or "suicidal thoughts" by placing a prominent red note urging them to call the National Suicide Prevention Hotline.
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Professors, We Need You! - NYTimes.com - 0 views

  • to be a scholar is, often, to be irrelevant.
  • One reason is the anti-intellectualism in American life
  • over all, there are, I think, fewer public intellectuals on American university campuses today than a generation ago.
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  • Ph.D. programs have fostered a culture that glorifies arcane unintelligibility while disdaining impact and audience. This culture of exclusivity is then transmitted to the next generation through the publish-or-perish tenure process
  • If the sine qua non for academic success is peer-reviewed publications, then academics who ‘waste their time’ writing for the masses will be penalized.
  • My onetime love, political science, is a particular offender and seems to be trying, in terms of practical impact, to commit suicide.
  • In the late 1930s and early 1940s, one-fifth of articles in The American Political Science Review focused on policy prescriptions; at last count, the share was down to 0.3 percent.
  • Universities have retreated from area studies, so we have specialists in international theory who know little that is practical about the world
  • After the Arab Spring, a study by the Stimson Center looked back at whether various sectors had foreseen the possibility of upheavals. It found that scholars were among the most oblivious — partly because they relied upon quantitative models or theoretical constructs that had been useless in predicting unrest.
  • Many academic disciplines also reduce their influence by neglecting political diversity. Sociology, for example, should be central to so many national issues, but it is so dominated by the left that it is instinctively dismissed by the right.
  • In contrast, economics is a rare academic field with a significant Republican presence, and that helps tether economic debates to real-world debates.
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In New Textbook, the Story of Singapore Begins 500 Years Earlier - NYTimes.com - 0 views

  • Why did it take 30 years to change the story? “It takes overwhelming evidence to shift the mind-set of a people from one image of its past to another,”
  • Professor Miksic gives credit for the new history lesson to former students who have reached positions of authority in academia and in the Ministry of Education.
  • Professor Heng surmised that one reason it had taken so long to change the narrative may have been the government’s fears of communal conflict in the 1960s and ’70s.
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  • “If Singapore before 1800 was a sleepy backwater, the Chinese majority could say, ‘We built Singapore; before it was a blank slate,”’ he said.
  • Other factors also may help explain the timing of the rewrite. “Now is a good time,” Professor Heng said. “There’s a need to develop a collective social memory. It’s become a political issue.”
  • “Every generation has to rewrite its history,” he said. While it used to suit Singapore to see itself as a city-state with a British heritage, modern Singapore needs a different interpretation of history to reinforce a more global perspective, he suggested.
  • Professor Miksic goes a step further. “A short history puts a nation on shaky ground; a shallowly rooted place could be overturned quickly,” he said. “If you can show a long cohabitation between the Malays and the Chinese, it proves you have a pretty stable arrangement.”
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Democrats Enjoy Birther Book Boon As GOP Blames Liberals - The Daily Beast - 0 views

  • The conservative movement has long believed that major institutions of mainstream American life—the media, the courts, science and academia—are irredeemably corrupted by liberal bias. It has responded by creating its own, alternative reality, ideologically consistent but full of falsehood. For years, the Republican Party has benefited from a base sealed in an epistemological bubble. Now it’s finding out that when you encourage people to cut themselves off from reality, you can’t always dictate when it’s time to let in a little bit of truth.
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A New Report Argues Inequality Is Causing Slower Growth. Here's Why It Matters. - NYTim... - 0 views

  • Is income inequality holding back the United States economy? A new report argues that it is, that an unequal distribution in incomes is making it harder for the nation to recover from the recession
  • The fact that S.&amp;P., an apolitical organization that aims to produce reliable research for bond investors and others, is raising alarms about the risks that emerge from income inequality is a small but important sign of how a debate that has been largely confined to the academic world and left-of-center political circles is becoming more mainstream.
  • “Our review of the data, as well as a wealth of research on this matter, leads us to conclude that the current level of income inequality in the U.S. is dampening G.D.P. growth,” the S.&amp;P. researchers write
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  • To understand why this matters, you have to know a little bit about the many tribes within the world of economics.
  • There are the academic economists who study the forces shaping the modern economy. Their work is rigorous but often obscure. Some of them end up in important policy jobs (See: Bernanke, B.) or write books for a mass audience (Piketty, T.), but many labor in the halls of academia for decades writing carefully vetted articles for academic journals that are rigorous as can be but are read by, to a first approximation, no one.
  • Then there are the economists in what can broadly be called the business forecasting community. They wear nicer suits than the academics, and are better at offering a glib, confident analysis of the latest jobs numbers delivered on CNBC or in front of a room full of executives who are their clients. They work for ratings firms like S.&amp;P., forecasting firms like Macroeconomic Advisers and the economics research departments of all the big banks.
  • they are trying to do the practical work of explaining to clients — companies trying to forecast future demand, investors trying to allocate assets — how the economy is likely to evolve. They’re not really driven by ideology, or by models that are rigorous enough in their theoretical underpinnings to pass academic peer review. Rather, their success or failure hinges on whether they’re successful at giving those clients an accurate picture of where the economy is heading.
  • worries that income inequality is a factor behind subpar economic growth over the last five years (and really the last 15 years) is going from an idiosyncratic argument made mainly by left-of center economists to something that even the tribe of business forecasters needs to wrestle with.
  • Because the affluent tend to save more of what they earn rather than spend it, as more and more of the nation’s income goes to people at the top income brackets, there isn’t enough demand for goods and services to maintain strong growth, and attempts to bridge that gap with debt feed a boom-bust cycle of crises, the report argues. High inequality can feed on itself, as the wealthy use their resources to influence the political system toward policies that help maintain that advantage, like low tax rates on high incomes and low estate taxes, and underinvestment in education and infrastructur
  • The report itself does not break any major new analytical or empirical ground. It spends many pages summarizing the findings of various academic and government economists who have studied inequality and its discontents, and stops short of recommending any radical policy changes
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Is Science Kind of a Scam? - The New Yorker - 1 views

  • No well-tested scientific concept is more astonishing than the one that gives its name to a new book by the Scientific American contributing editor George Musser, “Spooky Action at a Distance
  • The ostensible subject is the mechanics of quantum entanglement; the actual subject is the entanglement of its observers.
  • his question isn’t so much how this weird thing can be true as why, given that this weird thing had been known about for so long, so many scientists were so reluctant to confront it. What keeps a scientific truth from spreading?
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  • it is as if two magic coins, flipped at different corners of the cosmos, always came up heads or tails together. (The spooky action takes place only in the context of simultaneous measurement. The particles share states, but they don’t send signals.)
  • fashion, temperament, zeitgeist, and sheer tenacity affected the debate, along with evidence and argument.
  • The certainty that spooky action at a distance takes place, Musser says, challenges the very notion of “locality,” our intuitive sense that some stuff happens only here, and some stuff over there. What’s happening isn’t really spooky action at a distance; it’s spooky distance, revealed through an action.
  • Why, then, did Einstein’s question get excluded for so long from reputable theoretical physics? The reasons, unfolding through generations of physicists, have several notable social aspects,
  • What started out as a reductio ad absurdum became proof that the cosmos is in certain ways absurd. What began as a bug became a feature and is now a fact.
  • “If poetry is emotion recollected in tranquility, then science is tranquility recollected in emotion.” The seemingly neutral order of the natural world becomes the sounding board for every passionate feeling the physicist possesses.
  • Musser explains that the big issue was settled mainly by being pushed aside. Generational imperatives trumped evidentiary ones. The things that made Einstein the lovable genius of popular imagination were also the things that made him an easy object of condescension. The hot younger theorists patronized him,
  • There was never a decisive debate, never a hallowed crucial experiment, never even a winning argument to settle the case, with one physicist admitting, “Most physicists (including me) accept that Bohr won the debate, although like most physicists I am hard pressed to put into words just how it was done.”
  • Arguing about non-locality went out of fashion, in this account, almost the way “Rock Around the Clock” displaced Sinatra from the top of the charts.
  • The same pattern of avoidance and talking-past and taking on the temper of the times turns up in the contemporary science that has returned to the possibility of non-locality.
  • the revival of “non-locality” as a topic in physics may be due to our finding the metaphor of non-locality ever more palatable: “Modern communications technology may not technically be non-local but it sure feels that it is.”
  • Living among distant connections, where what happens in Bangalore happens in Boston, we are more receptive to the idea of such a strange order in the universe.
  • The “indeterminacy” of the atom was, for younger European physicists, “a lesson of modernity, an antidote to a misplaced Enlightenment trust in reason, which German intellectuals in the 1920’s widely held responsible for their country’s defeat in the First World War.” The tonal and temperamental difference between the scientists was as great as the evidence they called on.
  • Science isn’t a slot machine, where you drop in facts and get out truths. But it is a special kind of social activity, one where lots of different human traits—obstinacy, curiosity, resentment of authority, sheer cussedness, and a grudging readiness to submit pet notions to popular scrutiny—end by producing reliable knowledge
  • What was magic became mathematical and then mundane. “Magical” explanations, like spooky action, are constantly being revived and rebuffed, until, at last, they are reinterpreted and accepted. Instead of a neat line between science and magic, then, we see a jumpy, shifting boundary that keeps getting redrawn
  • Real-world demarcations between science and magic, Musser’s story suggests, are like Bugs’s: made on the move and as much a trap as a teaching aid.
  • In the past several decades, certainly, the old lines between the history of astrology and astronomy, and between alchemy and chemistry, have been blurred; historians of the scientific revolution no longer insist on a clean break between science and earlier forms of magic.
  • Where once logical criteria between science and non-science (or pseudo-science) were sought and taken seriously—Karl Popper’s criterion of “falsifiability” was perhaps the most famous, insisting that a sound theory could, in principle, be proved wrong by one test or another—many historians and philosophers of science have come to think that this is a naïve view of how the scientific enterprise actually works.
  • They see a muddle of coercion, old magical ideas, occasional experiment, hushed-up failures—all coming together in a social practice that gets results but rarely follows a definable logic.
  • Yet the old notion of a scientific revolution that was really a revolution is regaining some credibility.
  • David Wootton, in his new, encyclopedic history, “The Invention of Science” (Harper), recognizes the blurred lines between magic and science but insists that the revolution lay in the public nature of the new approach.
  • What killed alchemy was the insistence that experiments must be openly reported in publications which presented a clear account of what had happened, and they must then be replicated, preferably before independent witnesses.
  • Wootton, while making little of Popper’s criterion of falsifiability, makes it up to him by borrowing a criterion from his political philosophy. Scientific societies are open societies. One day the lunar tides are occult, the next day they are science, and what changes is the way in which we choose to talk about them.
  • Wootton also insists, against the grain of contemporary academia, that single observed facts, what he calls “killer facts,” really did polish off antique authorities
  • once we agree that the facts are facts, they can do amazing work. Traditional Ptolemaic astronomy, in place for more than a millennium, was destroyed by what Galileo discovered about the phases of Venus. That killer fact “serves as a single, solid, and strong argument to establish its revolution around the Sun, such that no room whatsoever remains for doubt,” Galileo wrote, and Wootton adds, “No one was so foolish as to dispute these claims.
  • everal things flow from Wootton’s view. One is that “group think” in the sciences is often true think. Science has always been made in a cloud of social networks.
  • There has been much talk in the pop-sci world of “memes”—ideas that somehow manage to replicate themselves in our heads. But perhaps the real memes are not ideas or tunes or artifacts but ways of making them—habits of mind rather than products of mind
  • science, then, a club like any other, with fetishes and fashions, with schemers, dreamers, and blackballed applicants? Is there a real demarcation to be made between science and every other kind of social activity
  • The claim that basic research is valuable because it leads to applied technology may be true but perhaps is not at the heart of the social use of the enterprise. The way scientists do think makes us aware of how we can think
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The Real Victims of Victimhood - The New York Times - 0 views

  • BACK in 1993, the misanthropic art critic Robert Hughes published a grumpy, entertaining book called “Culture of Complaint,” in which he predicted that America was doomed to become increasingly an “infantilized culture” of victimhood. It was a rant against what he saw as a grievance industry appearing all across the political spectrum.
  • the intervening two decades have made Mr. Hughes look prophetic
  • “Victimhood culture” has now been identified as a widening phenomenon by mainstream sociologists. And it is impossible to miss the obvious examples all around us.
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  • On campuses, activists interpret ordinary interactions as “microaggressions” and set up “safe spaces” to protect students from certain forms of speech. And presidential candidates on both the left and the right routinely motivate supporters by declaring that they are under attack by immigrants or wealthy people.
  • victimhood makes it more and more difficult for us to resolve political and social conflicts. The culture feeds a mentality that crowds out a necessary give and take — the very concept of good-faith disagreement — turning every policy difference into a pitched battle between good (us) and evil (them).
  • Consider a 2014 study in the Proceedings of the National Academy of Sciences, which examined why opposing groups, including Democrats and Republicans, found compromise so difficult. The researchers concluded that there was a widespread political “motive attribution asymmetry,” in which both sides attributed their own group’s aggressive behavior to love, but the opposite side’s to hatred. Today, millions of Americans believe that their side is basically benevolent while the other side is evil and out to get them.
  • Members of one group were prompted to write a short essay about a time when they felt bored; the other to write about “a time when your life seemed unfair. Perhaps you felt wronged or slighted by someone.” After writing the essay, the participants were interviewed and asked if they wanted to help the scholars in a simple, easy task. The results were stark. Those who wrote the essays about being wronged were 26 percent less likely to help the researchers, and were rated by the researchers as feeling 13 percent more entitled.
  • In a separate experiment, the researchers found that members of the unfairness group were 11 percent more likely to express selfish attitudes. In a comical and telling aside, the researchers noted that the victims were more likely than the nonvictims to leave trash behind on the desks and to steal the experimenters’ pens.
  • Does this mean that we should reject all claims that people are victims? Of course not. Some people are indeed victims in America — of crime, discrimination or deprivation. They deserve our empathy and require justice.
  • The problem is that the line is fuzzy between fighting for victimized people and promoting a victimhood culture.
  • look at the role of free speech in the debate. Victims and their advocates always rely on free speech and open dialogue to articulate unpopular truths. They rely on free speech to assert their right to speak. Victimhood culture, by contrast, generally seeks to restrict expression in order to protect the sensibilities of its advocates
  • look at a movement’s leadership. The fight for victims is led by aspirational leaders who challenge us to cultivate higher values. They insist that everyone is capable of — and has a right to — earned success. They articulate visions of human dignity. But the organizations and people who ascend in a victimhood culture are very different. Some set themselves up as saviors; others focus on a common enemy. In all cases, they treat people less as individuals and more as aggrieved masses.
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Many Academics Are Eager to Publish in Worthless Journals - The New York Times - 0 views

  • it’s increasingly clear that many academics know exactly what they’re getting into, which explains why these journals have proliferated despite wide criticism. The relationship is less predator and prey, some experts say, than a new and ugly symbiosis.
  • “When hundreds of thousands of publications appear in predatory journals, it stretches credulity to believe all the authors and universities they work for are victims,” Derek Pyne, an economics professor at Thompson Rivers University in British Columbia, wrote in a op-ed published in the Ottawa Citizen, a Canadian newspaper.
  • The journals are giving rise to a wider ecosystem of pseudo science. For the academic who wants to add credentials to a resume, for instance, publishers also hold meetings where, for a hefty fee, you can be listed as a presenter — whether you actually attend the meeting or not.
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  • Many of these journals have names that closely resemble those of established publications, making them easily mistakable. There is the Journal of Economics and Finance, published by Springer, but now also the Journal of Finance and Economics. There is the Journal of Engineering Technology, put out by the American Society for Engineering Education, but now another called the GSTF Journal of Engineering Technology.
  • Predatory journals have few expenses, since they do not seriously review papers that are submitted and they publish only online. They blast emails to academics, inviting them to publish. And the journals often advertise on their websites that they are indexed by Google Scholar. Often that is correct — but Google Scholar does not vet the journals it indexes.
  • The number of such journals has exploded to more than 10,000 in recent years, with nearly as many predatory as legitimate ones. “Predatory publishing is becoming an organized industry,” wrote one group of critics in a paper in Nature
  • Participating in such dubious enterprises carries few risks. Dr. Pyne, who did a study of his colleagues publications, reports that faculty members at his school who got promoted last year had at least four papers in questionable journals. All but one academic in 10 who won a School of Business and Economics award had published papers in these journals. One had 10 such articles.
  • Academics get rewarded with promotions when they stuff their resumes with articles like these, Dr. Pyne concluded. There are few or no adverse consequences — in fact, the rewards for publishing in predatory journals were greater than for publishing in legitimate ones.
  • Some say the academic system bears much of the blame for the rise of predatory journals, demanding publications even from teachers at places without real resources for research and where they may have little time apart from teaching.At Queensborough, faculty members typically teach nine courses per year. At four-year colleges, faculty may teach four to six courses a year.
  • Recently a group of researchers who invented a fake academic: Anna O. Szust. The name in Polish means fraudster. Dr. Szust applied to legitimate and predatory journals asking to be an editor. She supplied a résumé in which her publications and degrees were total fabrications, as were the names of the publishers of the books she said she had contributed to.The legitimate journals rejected her application immediately. But 48 out of 360 questionable journals made her an editor. Four made her editor in chief. One journal sent her an email saying, “It’s our pleasure to add your name as our editor in chief for the journal with no responsibilities.”
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