Group items tagged

Quadriplegics like Scheuermann have manipulated robotic arms using BCI before.

"With three degrees of control, you can do things like manipulate a computer screen and that gentleman was able to reach out and touch his daughter

But to actually manipulate objects, to feed yourself for example, you need more than those three dimensions of control. That's what makes Jan so remarkable

"The biggest change," Boninger said, "is the sophistication with which we've learned to interpret electrical activity in the brain."

"I wouldn't say we have decoded the brain," Boninger said. "But we are getting closer. We can't read emotions but we can interpret motions the brain wants the body to make."

"For me, it's been one of the most exciting endeavors I have ever undertaken," Sheuermann wrote on the University of Pittsburgh Medical Center blog. "Being with a team of scientists and using cutting-edge technology that makes me the only person in the world who can scratch her nose with a robotic arm, well, that's thrilling."

Historians and sociologists of science say that since the tobacco wars of the 1960s, corporations trying to block legislation that hurts their interests have employed a strategy of creating the appearance of scientific doubt, usually with the help of ostensibly independent researchers who accept industry funding.

“The whole doubt-mongering strategy relies on creating the impression of scientific debate,” said Naomi Oreskes, a historian of science at Harvard University and the co-author of “Merchants of Doubt,” a book about such campaigns. “Willie Soon is playing a role in a certain kind of political theater.”

Environmentalists have long questioned Dr. Soon’s work, and his acceptance of funding from the fossil-fuel industry was previously known. But the full extent of the links was not; the documents show that corporate contributions were tied to specific papers and were not disclosed, as required by modern standards of publishing.

“What it shows is the continuation of a long-term campaign by specific fossil-fuel companies and interests to undermine the scientific consensus on climate change,” said Kert Davies, executive director of the Climate Investigations Center, a group funded by foundations seeking to limit the risks of climate change.

Many experts in the field say that Dr. Soon uses out-of-date data, publishes spurious correlations between solar output and climate indicators, and does not take account of the evidence implicating emissions from human behavior in climate change.

Though often described on conservative news programs as a “Harvard astrophysicist,” Dr. Soon is not an astrophysicist and has never been employed by Harvard. He is a part-time employee of the Smithsonian Institution with a doctoral degree in aerospace engineering. He has received little federal research money over the past decade and is thus responsible for bringing in his own funds, including his salary.

Though he has little formal training in climatology, Dr. Soon has for years published papers trying to show that variations in the sun’s energy can explain most recent global warming. His thesis is that human activity has played a relatively small role in causing climate change.

As the oil-industry contributions fell, Dr. Soon started receiving hundreds of thousands of dollars through DonorsTrust, an organization based in Alexandria, Va., that accepts money from donors who wish to remain anonymous, then funnels it to various conservative causes.

Gavin A. Schmidt, head of the Goddard Institute for Space Studies in Manhattan, a NASA division that studies climate change, said that the sun had probably accounted for no more than 10 percent of recent global warming and that greenhouse gases produced by human activity explained most of it.“The science that Willie Soon does is almost pointless,” Dr. Schmidt said.

Dr. Soon has found a warm welcome among politicians in Washington and state capitals who try to block climate action. United States Senator James M. Inhofe, an Oklahoma Republican who claims that climate change is a global scientific hoax, has repeatedly cited Dr. Soon’s work over the years.

Dr. Oreskes, the Harvard science historian, said that academic institutions and scientific journals had been too lax in recent decades in ferreting out dubious research created to serve a corporate agenda.

without warning or explanation, tried to yank all the state funding for a renewable energy research center.

attack by conservative groups like Media Trackers or Professor Watchlist.

unfriendly to free speech

They lecture students that a higher education experience means listening to challenging perspectives, even as they ignore or actively support the erosion of the structural conditions that allow such speech.

Look at the bigger picture beyond a few elite private institutions.

Anxiety has always played a role in the developmental drama of a student’s life, but now more students experience anxiety so intense and overwhelming that they are seeking professional counseling.

Because of escalating pressures during high school, he and other experts say, students arrive at college preloaded with stress.

Studies have repeatedly emphasized the nexus between mental health and academic success.

The depressing conclusion of a faculty report: “failing math at all levels affects retention more than any other academic factor.” A national sample of transcripts found mathematics had twice as many F’s and D’s compared as other subjects.

Of all who embark on higher education, only 58 percent end up with bachelor’s degrees. The main impediment to graduation: freshman math.

California’s two university systems, for instance, consider applications only from students who have taken three years of mathematics and in that way exclude many applicants who might excel in fields like art or history. Community college students face an equally prohibitive mathematics wall. A study of two-year schools found that fewer than a quarter of their entrants passed the algebra classes they were required to take.

a definitive analysis by the Georgetown Center on Education and the Workforce forecasts that in the decade ahead a mere 5 percent of entry-level workers will need to be proficient in algebra or above.

“mathematical reasoning in workplaces differs markedly from the algorithms taught in school.” Even in jobs that rely on so-called STEM credentials — science, technology, engineering, math — considerable training occurs after hiring, including the kinds of computations that will be required.

I fully concur that high-tech knowledge is needed to sustain an advanced industrial economy. But we’re deluding ourselves if we believe the solution is largely academic.

Nor will just passing grades suffice. Many colleges seek to raise their status by setting a high mathematics bar. Hence, they look for 700 on the math section of the SAT, a height attained in 2009 by only 9 percent of men and 4 percent of women. And it’s not just Ivy League colleges that do this: at schools like Vanderbilt, Rice and Washington University in St. Louis, applicants had best be legacies or athletes if they have scored less than 700 on their math SATs.

A January 2012 analysis from the Georgetown center found 7.5 percent unemployment for engineering graduates and 8.2 percent among computer scientists.

“Our civilization would collapse without mathematics.” He’s absolutely right.

Quantitative literacy clearly is useful in weighing all manner of public policies

Mathematics is used as a hoop, a badge, a totem to impress outsiders and elevate a profession’s status.

Instead of investing so much of our academic energy in a subject that blocks further attainment for much of our population, I propose that we start thinking about alternatives. Thus mathematics teachers at every level could create exciting courses in what I call “citizen statistics.” This would not be a backdoor version of algebra, as in the Advanced Placement syllabus. Nor would it focus on equations used by scholars when they write for one another. Instead, it would familiarize students with the kinds of numbers that describe and delineate our personal and public lives.

This need not involve dumbing down. Researching the reliability of numbers can be as demanding as geometry.

I hope that mathematics departments can also create courses in the history and philosophy of their discipline, as well as its applications in early cultures. Why not mathematics in art and music — even poetry — along with its role in assorted sciences? The aim would be to treat mathematics as a liberal art, making it as accessible and welcoming as sculpture or ballet

Yes, young people should learn to read and write and do long division, whether they want to or not. But there is no reason to force them to grasp vectorial angles and discontinuous functions. Think of math as a huge boulder we make everyone pull, without assessing what all this pain achieves. So why require it, without alternatives or exceptions? Thus far I haven’t found a compelling answer.

Since at least the Middle Ages, philosophers and philologists have dreamed of curing natural languages of their flaws by constructing entirely new idioms according to orderly, logical principles.

nventing new forms of speech is an almost cosmic urge that stems from what the linguist Marina Yaguello, the author of “Lunatic Lovers of Language,” calls “an ambivalent love-hate relationship.” Language creation is pursued by people who are so in love with what language can do that they hate what it doesn’t. “I don’t believe any other fantasy has ever been pursued with so much ardor by the human spirit, apart perhaps from the philosopher’s stone or the proof of the existence of God; or that any other utopia has caused so much ink to flow, apart perhaps from socialism,”

What if, they wondered, you could create a universal written language that could be understood by anyone, a set of “real characters,” just as the creation of Arabic numerals had done for counting? “This writing will be a kind of general algebra and calculus of reason, so that, instead of disputing, we can say that ‘we calculate,’ ” Leibniz wrote, in 1679.

In his “Essay Towards a Real Character, and a Philosophical Language,” from 1668, Wilkins laid out a sprawling taxonomic tree that was intended to represent a rational classification of every concept, thing, and action in the universe. Each branch along the tree corresponded to a letter or a syllable, so that assembling a word was simply a matter of tracing a set of forking limbs

Solresol, the creation of a French musician named Jean-François Sudre, was among the first of these universal languages to gain popular attention. It had only seven syllables: Do, Re, Mi, Fa, So, La, and Si. Words could be sung, or performed on a violin. Or, since the language could also be translated into the seven colors of the rainbow, sentences could be woven into a textile as a stream of colors.

“I had this realization that every individual language does at least one thing better than every other language,” he said. For example, the Australian Aboriginal language Guugu Yimithirr doesn’t use egocentric coördinates like “left,” “right,” “in front of,” or “behind.” Instead, speakers use only the cardinal directions. They don’t have left and right legs but north and south legs, which become east and west legs upon turning ninety degrees

Among the Wakashan Indians of the Pacific Northwest, a grammatically correct sentence can’t be formed without providing what linguists refer to as “evidentiality,” inflecting the verb to indicate whether you are speaking from direct experience, inference, conjecture, or hearsay.

Quijada began wondering, “What if there were one single language that combined the coolest features from all the world’s languages?”

he started scribbling notes on an entirely new grammar that would eventually incorporate not only Wakashan evidentiality and Guugu Yimithirr coördinates but also Niger-Kordofanian aspectual systems, the nominal cases of Basque, the fourth-person referent found in several nearly extinct Native American languages, and a dozen other wild ways of forming sentences.

he discovered “Metaphors We Live By,” a seminal book, published in 1980, by the cognitive linguists George Lakoff and Mark Johnson, which argues that the way we think is structured by conceptual systems that are largely metaphorical in nature. Life is a journey. Time is money. Argument is war. For better or worse, these figures of speech are profoundly embedded in how we think.

I asked him if he could come up with an entirely new concept on the spot, one for which there was no word in any existing language. He thought about it for a moment. “Well, no language, as far as I know, has a single word for that chin-stroking moment you get, often accompanied by a frown on your face, when someone expresses an idea that you’ve never thought of and you have a moment of suddenly seeing possibilities you never saw before.” He paused, as if leafing through a mental dictionary. “In Ithkuil, it’s ašţal.”

Many conlanging projects begin with a simple premise that violates the inherited conventions of linguistics in some new way. Aeo uses only vowels. Kēlen has no verbs. Toki Pona, a language inspired by Taoist ideals, was designed to test how simple a language could be. It has just a hundred and twenty-three words and fourteen basic sound units. Brithenig is an answer to the question of what English might have sounded like as a Romance language, if vulgar Latin had taken root on the British Isles. Láadan, a feminist language developed in the early nineteen-eighties, includes words like radíidin, defined as a “non-holiday, a time allegedly a holiday but actually so much a burden because of work and preparations that it is a dreaded occasion; especially when there are too many guests and none of them help.”

most conlangers come to their craft by way of fantasy and science fiction. J. R. R. Tolkien, who called conlanging his “secret vice,” maintained that he created the “Lord of the Rings” trilogy for the primary purpose of giving his invented languages, Quenya, Sindarin, and Khuzdul, a universe in which they could be spoken. And arguably the most commercially successful invented language of all time is Klingon, which has its own translation of “Hamlet” and a dictionary that has sold more than three hundred thousand copies.

He imagined that Ithkuil might be able to do what Lakoff and Johnson said natural languages could not: force its speakers to precisely identify what they mean to say. No hemming, no hawing, no hiding true meaning behind jargon and metaphor. By requiring speakers to carefully consider the meaning of their words, he hoped that his analytical language would force many of the subterranean quirks of human cognition to the surface, and free people from the bugs that infect their thinking.

Brown based the grammar for his ten-thousand-word language, called Loglan, on the rules of formal predicate logic used by analytical philosophers. He hoped that, by training research subjects to speak Loglan, he might turn them into more logical thinkers. If we could change how we think by changing how we speak, then the radical possibility existed of creating a new human condition.

today the stronger versions of the Sapir-Whorf hypothesis have “sunk into . . . disrepute among respectable linguists,” as Guy Deutscher writes, in “Through the Looking Glass: Why the World Looks Different in Other Languages.” But, as Deutscher points out, there is evidence to support the less radical assertion that the particular language we speak influences how we perceive the world. For example, speakers of gendered languages, like Spanish, in which all nouns are either masculine or feminine, actually seem to think about objects differently depending on whether the language treats them as masculine or feminine

The final version of Ithkuil, which Quijada published in 2011, has twenty-two grammatical categories for verbs, compared with the six—tense, aspect, person, number, mood, and voice—that exist in English. Eighteen hundred distinct suffixes further refine a speaker’s intent. Through a process of laborious conjugation that would befuddle even the most competent Latin grammarian, Ithkuil requires a speaker to home in on the exact idea he means to express, and attempts to remove any possibility for vagueness.

Every language has its own phonemic inventory, or library of sounds, from which a speaker can string together words. Consonant-poor Hawaiian has just thirteen phonemes. English has around forty-two, depending on dialect. In order to pack as much meaning as possible into each word, Ithkuil has fifty-eight phonemes. The original version of the language included a repertoire of grunts, wheezes, and hacks that are borrowed from some of the world’s most obscure tongues. One particular hard-to-make clicklike sound, a voiceless uvular ejective affricate, has been found in only a few other languages, including the Caucasian language Ubykh, whose last native speaker died in 1992.

Human interactions are governed by a set of implicit codes that can sometimes seem frustratingly opaque, and whose misreading can quickly put you on the outside looking in. Irony, metaphor, ambiguity: these are the ingenious instruments that allow us to mean more than we say. But in Ithkuil ambiguity is quashed in the interest of making all that is implicit explicit. An ironic statement is tagged with the verbal affix ’kçç. Hyperbolic statements are inflected by the letter ’m.

“I wanted to use Ithkuil to show how you would discuss philosophy and emotional states transparently,” Quijada said. To attempt to translate a thought into Ithkuil requires investigating a spectrum of subtle variations in meaning that are not recorded in any natural language. You cannot express a thought without first considering all the neighboring thoughts that it is not. Though words in Ithkuil may sound like a hacking cough, they have an inherent and unavoidable depth. “It’s the ideal language for political and philosophical debate—any forum where people hide their intent or obfuscate behind language,” Quijada co

In Ithkuil, the difference between glimpsing, glancing, and gawking is the mere flick of a vowel. Each of these distinctions is expressed simply as a conjugation of the root word for vision. Hunched over the dining-room table, Quijada showed me how he would translate “gawk” into Ithkuil. First, though, since words in Ithkuil are assembled from individual atoms of meaning, he had to engage in some introspection about what exactly he meant to say.For fifteen minutes, he flipped backward and forward through his thick spiral-bound manuscript, scratching his head, pondering each of the word’s aspects, as he packed the verb with all of gawking’s many connotations. As he assembled the evolving word from its constituent meanings, he scribbled its pieces on a notepad. He added the “second degree of the affix for expectation of outcome” to suggest an element of surprise that is more than mere unpreparedness but less than outright shock, and the “third degree of the affix for contextual appropriateness” to suggest an element of impropriety that is less than scandalous but more than simply eyebrow-raising. As he rapped his pen against the notepad, he paged through his manuscript in search of the third pattern of the first stem of the root for “shock” to suggest a “non-volitional physiological response,” and then, after several moments of contemplation, he decided that gawking required the use of the “resultative format” to suggest “an event which occurs in conjunction with the conflated sense but is also caused by it.” He eventually emerged with a tiny word that hardly rolled off the tongue: apq’uxasiu. He spoke the first clacking syllable aloud a couple of times before deciding that he had the pronunciation right, and then wrote it down in the script he had invented for printed Ithkuil:

“You can make up words by the millions to describe concepts that have never existed in any language before,” he said.

Neither Sapir nor Whorf formulated a definitive version of the hypothesis that bears their names, but in general the theory argues that the language we speak actually shapes our experience of reality. Speakers of different languages think differently. Stronger versions of the hypothesis go even further than this, to suggest that language constrains the set of possible thoughts that we can have. In 1955, a sociologist and science-fiction writer named James Cooke Brown decided he would test the Sapir-Whorf hypothesis by creating a “culturally neutral” “model language” that might recondition its speakers’ brains.

“We think that when a person learns Ithkuil his brain works faster,” Vishneva told him, in Russian. She spoke through a translator, as neither she nor Quijada was yet fluent in their shared language. “With Ithkuil, you always have to be reflecting on yourself. Using Ithkuil, we can see things that exist but don’t have names, in the same way that Mendeleyev’s periodic table showed gaps where we knew elements should be that had yet to be discovered.”

Lakoff, who is seventy-one, bearded, and, like Quijada, broadly built, seemed to have read a fair portion of the Ithkuil manuscript and familiarized himself with the language’s nuances.“There are a whole lot of questions I have about this,” he told Quijada, and then explained how he felt Quijada had misread his work on metaphor. “Metaphors don’t just show up in language,” he said. “The metaphor isn’t in the word, it’s in the idea,” and it can’t be wished away with grammar.“For me, as a linguist looking at this, I have to say, ‘O.K., this isn’t going to be used.’ It has an assumption of efficiency that really isn’t efficient, given how the brain works. It misses the metaphor stuff. But the parts that are successful are really nontrivial. This may be an impossible language,” he said. “But if you think of it as a conceptual-art project I think it’s fascinating.”

senior climate scientists at other agencies were in no hurry to embrace NOAA’s specific adjustments. Several of them said it would take months of discussion in the scientific community to understand the data corrections and come to a consensus about whether to adopt them broadly.

NOAA said the improvements in its data set included the addition of a huge number of land measurements from around the world, as a result of improving international cooperation in sharing weather records. But the disappearance of the slowdown comes largely from adjustments in ocean temperatures.

A leading hypothesis to explain the slowdown is that natural fluctuations in the Pacific Ocean may have temporarily pulled some heat out of the atmosphere, producing a brief flattening in the long-term increase of surface temperatures.

Yet the temperature record is plagued by many problems: thermometers and recording practices changed through time, weather stations were moved, cities grew up around once-rural stations, and so on. Entire scientific careers are devoted to studying these issues and making corrections.

NOAA is one of four agencies around the world that attempts to produce a complete record of global temperatures dating to 1880. They all get similar results, showing a long-term warming of the planet that scientists have linked primarily to the burning of fossil fuels and the destruction of forests. A huge body of physical evidence — notably, that practically every large piece of land ice on the planet has started to melt — suggests the temperature finding is correct.

ocean measurements in particular are rife with difficulties.

Even if the warming slowdown in the early 21st century was real, there seems to be little question that it is ending. By a small margin, the global temperature hit a record in 2014, and developing weather patterns suggest that record will likely be broken by a larger margin in 2015.

How much of this kind of reality can the public take? Producers clearly see no end in sight, and the results are increasingly becoming more questionable.

This is what's called a ''reality-based'' series, a label that has less to do with reality than comforting formula. The cameras do not go to a real hospital. But three real doctors are on the production staff.

''What you are about to see is real,'' we were told once again.

His life shattered, he now has the dubious pleasure of knowing that, for some 20 minutes, he was the star of a television reality entertainment.

''On Trial'' opens with an announcer exclaiming that viewers are about to see ''Real people! Real Cases! Real Life!'' Mr. Clooney, a distinguished-looking fellow, fills in the pertinent facts.

Everything is designed, they say, to ''give the show its docudrama look.'' The show's regular staff of three doctors are depicted by actors.

Needless to say, medical problems and crises have long been popular on television, especially on soap operas. ''Family Medical Center'' merely dispenses with extraneous plot and character developments and goes right to the medical core. A press release is candid about the show's interpretation of reality: ''It will have suspense, conflict and a resolution, which in almost all cases will be a happy one.''

The show looks as real as television entertainment can possibly make it. Alert viewers, however, will note whizzing by in the final credits the following advisory: '' 'Family Medical Center' is a dramatization. The characters are fictional and bear no resemblance to persons living or dead.''

Television reality wears many masks. A key to the overall picture was provided by one of those actors who deceived Oprah Winfrey and Geraldo Rivera with false impersonations on air. Why not, he shrugged, it's all entertainment. Frightening but not beyond comprehension.

Empowered by their own sources of information and their own interpretations of research, doubters have declared war on the consensus of experts.

Our lives are permeated by science and technology as never before. For many of us this new world is wondrous, comfortable, and rich in rewards—but also more complicated and sometimes unnerving. We now face risks we can’t easily analyze.

The world crackles with real and imaginary hazards, and distinguishing the former from the latter isn’t easy.

In this bewildering world we have to decide what to believe and how to act on that. In principle that’s what science is for.

“Science is not a body of facts,” says geophysicist Marcia McNutt,

“Science is a method for deciding whether what we choose to believe has a basis in the laws of nature or not.”

The scientific method leads us to truths that are less than self-evident, often mind-blowing, and sometimes hard to swallow.

We don’t believe you.

Galileo was put on trial and forced to recant. Two centuries later Charles Darwin escaped that fate. But his idea that all life on Earth evolved from a primordial ancestor and that we humans are distant cousins of apes, whales, and even deep-sea mollusks is still a big ask for a lot of people. So is another 19th-century notion: that carbon dioxide, an invisible gas that we all exhale all the time and that makes up less than a tenth of one percent of the atmosphere, could be affecting Earth’s climate.

we intellectually accept these precepts of science, we subconsciously cling to our intuitions

Shtulman’s research indicates that as we become scientifically literate, we repress our naive beliefs but never eliminate them entirely. They lurk in our brains, chirping at us as we try to make sense of the world.

Most of us do that by relying on personal experience and anecdotes, on stories rather than statistics.

We have trouble digesting randomness; our brains crave pattern and meaning.

we can deceive ourselves.

Even for scientists, the scientific method is a hard discipline. Like the rest of us, they’re vulnerable to what they call confirmation bias—the tendency to look for and see only evidence that confirms what they already believe. But unlike the rest of us, they submit their ideas to formal peer review before publishing them

other scientists will try to reproduce them

Scientific results are always provisional, susceptible to being overturned by some future experiment or observation. Scientists rarely proclaim an absolute truth or absolute certainty. Uncertainty is inevitable at the frontiers of knowledge.

Many people in the United States—a far greater percentage than in other countries—retain doubts about that consensus or believe that climate activists are using the threat of global warming to attack the free market and industrial society generally.

news media give abundant attention to such mavericks, naysayers, professional controversialists, and table thumpers. The media would also have you believe that science is full of shocking discoveries made by lone geniuses

science tells us the truth rather than what we’d like the truth to be. Scientists can be as dogmatic as anyone else—but their dogma is always wilting in the hot glare of new research.

But industry PR, however misleading, isn’t enough to explain why only 40 percent of Americans, according to the most recent poll from the Pew Research Center, accept that human activity is the dominant cause of global warming.

“science communication problem,”

yielded abundant new research into how people decide what to believe—and why they so often don’t accept the scientific consensus.

higher literacy was associated with stronger views—at both ends of the spectrum. Science literacy promoted polarization on climate, not consensus. According to Kahan, that’s because people tend to use scientific knowledge to reinforce beliefs that have already been shaped by their worldview.

“egalitarian” and “communitarian” mind-set are generally suspicious of industry and apt to think it’s up to something dangerous that calls for government regulation; they’re likely to see the risks of climate change.

“hierarchical” and “individualistic” mind-set respect leaders of industry and don’t like government interfering in their affairs; they’re apt to reject warnings about climate change, because they know what accepting them could lead to—some kind of tax or regulation to limit emissions.

For a hierarchical individualist, Kahan says, it’s not irrational to reject established climate science: Accepting it wouldn’t change the world, but it might get him thrown out of his tribe.

Science appeals to our rational brain, but our beliefs are motivated largely by emotion, and the biggest motivation is remaining tight with our peers.

organizations funded in part by the fossil fuel industry have deliberately tried to undermine the public’s understanding of the scientific consensus by promoting a few skeptics.

Internet makes it easier than ever for climate skeptics and doubters of all kinds to find their own information and experts

Internet has democratized information, which is a good thing. But along with cable TV, it has made it possible to live in a “filter bubble” that lets in only the information with which you already agree.

How to convert climate skeptics? Throwing more facts at them doesn’t help.

people need to hear from believers they can trust, who share their fundamental values.

We believe in scientific ideas not because we have truly evaluated all the evidence but because we feel an affinity for the scientific community.

“Believing in evolution is just a description about you. It’s not an account of how you reason.”

evolution actually happened. Biology is incomprehensible without it. There aren’t really two sides to all these issues. Climate change is happening. Vaccines really do save lives. Being right does matter—and the science tribe has a long track record of getting things right in the end. Modern society is built on things it got right.

Doubting science also has consequences.

In the climate debate the consequences of doubt are likely global and enduring. In the U.S., climate change skeptics have achieved their fundamental goal of halting legislative action to combat global warming.

“That line between science communication and advocacy is very hard to step back from,”

It’s their very detachment, what you might call the cold-bloodedness of science, that makes science the killer app.

that need to fit in is so strong that local values and local opinions are always trumping science.

not a sin to change your mind when the evidence demands it.

for the best scientists, the truth is more important than the tribe.

Students come away thinking of science as a collection of facts, not a method.

Shtulman’s research has shown that even many college students don’t really understand what evidence is.

“Everybody should be questioning,” says McNutt. “That’s a hallmark of a scientist. But then they should use the scientific method, or trust people using the scientific method, to decide which way they fall on those questions.”

science has made us the dominant organisms,

incredibly rapid change, and it’s scary sometimes. It’s not all progress.

The brain-development lag has huge implications for how we think about anxiety and how we treat it. It suggests that anxious adolescents may not be very responsive to psychotherapy that attempts to teach them to be unafraid, like cognitive behavior therapy

should also make us think twice — and then some — about the ever rising use of stimulants in young people, because these drugs may worsen anxiety and make it harder for teenagers to do what they are developmentally supposed to do: learn to be unafraid when it is appropriate

up to 20 percent of adolescents in the United States experience a diagnosable anxiety disorder, like generalized anxiety or panic attacks, probably resulting from a mix of genetic factors and environmental influences.

This isn’t to say that cognitive therapy is ineffective for teenagers, but that because of their relative difficulty in learning to be unafraid, it may not be the most effective treatment when used on its own.

Fear learning lies at the heart of anxiety and anxiety disorders. This primitive form of learning allows us to form associations between events and specific cues and environments that may predict danger.

once previously threatening cues or situations become safe, we have to be able to re-evaluate them and suppress our learned fear associations. People with anxiety disorders have trouble doing this and experience persistent fear in the absence of threat — better known as anxiety.

Dr. Casey discovered that adolescents had a much harder time “unlearning” the link between the colored square and the noise than children or adults did.

adolescents had trouble learning that a cue that was previously linked to something aversive was now neutral and “safe.” If you consider that adolescence is a time of exploration when young people develop greater autonomy, an enhanced capacity for fear and a more tenacious memory for threatening situations are adaptive and would confer survival advantage. In fact, the developmental gap between the amygdala and the prefrontal cortex that is described in humans has been found across mammalian species, suggesting that this is an evolutionary advantage.

As a psychiatrist, I’ve treated many adults with various anxiety disorders, nearly all of whom trace the origin of the problem to their teenage years. They typically report an uneventful childhood rudely interrupted by adolescent anxiety. For many, the anxiety was inexplicable and came out of nowhere.

prescription sales for stimulants increased more than fivefold between 2002 and 2012. This is of potential concern because it is well known from both human and animal studies that stimulants enhance learning and, in particular, fear conditioning.

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.&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

Expectations surrounding education have spun out of control. On top of a seven-hour school day, our kids march through hours of nightly homework, daily sports practices and band rehearsals, and weekend-consuming assignments and tournaments. Each activity is seen as a step on the ladder to a top college, an enviable job and a successful life. Children living in poverty who aspire to college face the same daunting admissions arms race, as well as the burden of competing for scholarships, with less support than their privileged peers.

Yet instead of empowering them to thrive, this drive for success is eroding children’s health and undermining their potential. Modern education is actually making them sick.

Nearly one in three teenagers told the American Psychological Association that stress drove them to sadness or depression — and their single biggest source of stress was school. According to the Centers for Disease Control and Prevention, a vast majority of American teenagers get at least two hours less sleep each night than recommended — and research shows the more homework they do, the fewer hours they sleep. At the university level, 94 percent of college counseling directors in a survey from last year said they were seeing rising numbers of students with severe psychological problems.

At the other end of the age spectrum, doctors increasingly see children in early elementary school suffering from migraine headaches and ulcers. Many physicians see a clear connection to performance pressure.

chosen to start making a change. Teachers are re-examining their homework demands, in some cases reviving the school district’s forgotten homework guideline — no more than 20 minutes per class per night, and none on weekends. In fact, research supports limits on homework. Students have started a task force to promote healthy habits and balanced schedules.

A growing body of medical evidence suggests that long-term childhood stress is linked not only with a higher risk of adult depression and anxiety, but with poor physical health outcomes, as well.

Paradoxically, the pressure cooker is hurting, not helping, our kids’ prospects for success. Many college students struggle with critical thinking, a fact that hasn’t escaped their professors, only 14 percent of whom believe that their students are prepared for college work, according to a 2015 report.

At Irvington, it’s too early to gauge the impact of new reforms, but educators see promising signs. Calls to school counselors to help students having emotional episodes in class have dropped from routine to nearly nonexistent. The A.P. class failure rate dropped by half. Irvington students continue to be accepted at respected colleges.

The authors claim that philosophy abandoned its relationship to other disciplines by creating its own purified domain, accessible only to credentialed professionals. It is true that from roughly 1930 to 1950, some philosophers — logical empiricists, in particular — did speak of philosophy having its own exclusive subject matter. But since that subject matter was logical analysis aimed at unifying all of science, interdisciplinarity was front and center.

philosopher-mathematicians Gottlob Frege, Bertrand Russell, Kurt Gödel, Alonzo Church and Alan Turing invented symbolic logic, helped establish the set-theoretic foundations of mathematics, and gave us the formal theory of computation that ushered in the digital age

developed ideas relating logic to linguistic meaning that provided a framework for studying meaning in all human languages. Others, including Paul Grice and J.L. Austin, explained how linguistic meaning mixes with contextual information to enrich communicative contents and how certain linguistic performances change social facts. Today a new philosophical conception of the relationship between meaning and cognition adds a further dimension to linguistic science.

Decision theory — the science of rational norms governing action, belief and decision under uncertainty — was developed by the 20th-century philosophers Frank Ramsey, Rudolph Carnap, Richard Jeffrey and others. It plays a foundational role in political science and economics by telling us what rationality requires, given our evidence, priorities and the strength of our beliefs. Today, no area of philosophy is more successful in attracting top young minds.

Philosophy also assisted psychology in its long march away from narrow behaviorism and speculative Freudianism. The mid-20th-century functionalist perspective pioneered by Hilary Putnam was particularly important. According to it, pain, pleasure and belief are neither behavioral dispositions nor bare neurological states. They are interacting internal causes, capable of very different physical realizations, that serve the goals of individuals in specific ways. This view is now embedded in cognitive psychology and neuroscience.

Philosophy also played a role in 20th-century physics, influencing the great physicists Albert Einstein, Niels Bohr and Werner Heisenberg. The philosophers Moritz Schlick and Hans Reichenbach reciprocated that interest by assimilating the new physics into their philosophies.

Philosophy of biology is following a similar path. Today’s philosophy of science is less accessible than Aristotle’s natural philosophy chiefly because it systematizes a larger, more technically sophisticated body of knowledge.

Philosophy’s interaction with mathematics, linguistics, economics, political science, psychology and physics requires specialization. Far from fostering isolation, this specialization makes communication and cooperation among disciplines possible. This has always been so.

Nor did scientific progress rob philosophy of its former scientific subject matter, leaving it to concentrate on the broadly moral. In fact, philosophy thrives when enough is known to make progress conceivable, but it remains unachieved because of methodological confusion. Philosophy helps break the impasse by articulating new questions, posing possible solutions and forging new conceptual tools.

Our knowledge of the universe and ourselves expands like a ripple surrounding a pebble dropped in a pool. As we move away from the center of the spreading circle, its area, representing our secure knowledge, grows. But so does its circumference, representing the border where knowledge blurs into uncertainty and speculation, and methodological confusion returns. Philosophy patrols the border, trying to understand how we got there and to conceptualize our next move.  Its job is unending.

Although progress in ethics, political philosophy and the illumination of life’s meaning has been less impressive than advances in some other areas, it is accelerating.

the advances in our understanding because of careful formulation and critical evaluation of theories of goodness, rightness, justice and human flourishing by philosophers since 1970 compare well to the advances made by philosophers from Aristotle to 1970

The knowledge required to maintain philosophy’s continuing task, including its vital connection to other disciplines, is too vast to be held in one mind. Despite the often-repeated idea that philosophy’s true calling can only be fulfilled in the public square, philosophers actually function best in universities, where they acquire and share knowledge with their colleagues in other disciplines. It is also vital for philosophers to engage students — both those who major in the subject, and those who do not. Although philosophy has never had a mass audience, it remains remarkably accessible to the average student; unlike the natural sciences, its frontiers can be reached in a few undergraduate courses.

An alternative algorithm is known that could have let the conventional computer be more competitive, or even win, by exploiting what Neven called a “bug” in D-Wave’s design. Neven said the test his group staged is still important because that shortcut won’t be available to regular computers when they compete with future quantum annealers capable of working on larger amounts of data.

“For a specific, carefully crafted proof-of-concept problem we achieve a 100-million-fold speed-up,” said Neven.

“the world’s first commercial quantum computer.” The computer is installed at NASA’s Ames Research Center in Mountain View, California, and operates on data using a superconducting chip called a quantum annealer.

Google is competing with D-Wave to make a quantum annealer that could do useful work.

Martinis is also working on quantum hardware that would not be limited to optimization problems, as annealers are.

Government and university labs, Microsoft (see “Microsoft’s Quantum Mechanics”), and IBM (see “IBM Shows Off a Quantum Computing Chip”) are also working on that technology.

“it may be several years before this research makes a difference to Google products.”

It’s true there are “extremists on both sides,” but as this Wonk Blog post showed, the percentage of non-centrist Republicans skyrocketed from under 10 percent in the Ford years (less than Democrats) to almost 90 percent today, while the Democratic percentage has stayed basically flat [chart].

What’s more, in the last session (2013-2014), the data shows that 147 House Republicans — more than half the caucus — were more ideologically extreme than the most extreme Democrat in the House. There is simply no comparison between the two partie

But it’s a fact that “balanced” journalism has to ignore. To admit that the political world isn’t balanced would shake their whole belief system to its core. And yet, the shaking seems to have begun

The GOP’s strategic logic is simple and straightforward: If the media is going to split the difference between what Democrats and Republicans say, then if Republicans simply double their demands, suddenly the media, embracing the “sensible center,” will now articulate the old GOP position as the “sensible center,” the “common sense” place to be

Their stubborn adherence to a false balance narrative has, ironically, become an integral part of the GOP’s relentless rightward push. By talking about “government dysfunction” instead of “Republican obstruction,” the media actively helps the most extreme anti-government Republicans thwart any efforts at competent governance and it helps promote their “government is horrible” worldview

There was once a penalty for becoming too politically extreme: one’s actions would be characterized as unrealistic, destructive, heedless of past experience, etc. Sometimes this was justified, sometimes not (as with the Civil Rights movement). But right or wrong, this media practice inhibited radical movements in either direction.

For quite some time now, however, conservative Republicans have realized that by moving right and attacking the media for any criticism, they can turn the media into a tacit ally, forcing them to treat preposterous claims as serious ideas, or even proven facts

Norm’s response underscores the reality of asymmetric polarization, which the mainstream media and most good government groups have avoided discussing — at great costs to the country

Thus, when they were planning to force a government shutdown, a key part of their strategy was spinning the media with a preposterous argument that it was the Democrats who were shutting down the government, even though, as the New York Times reported, the shutdown plan traced back to a meeting early in President Obama’s second term, led by former Attorney General Edwin R. Meese.

What’s more, once the media plays along, it’s a trick that can be used over and over again. One can keep moving farther and farther right indefinitely, pulling the “objective” media along for the ride, every step of the way. (Conservatives even developed an operational model to describe the process, known as the “Overton Window,” explained by a conservative activist here.)

The basis for all this is a cultural illusion that the “nonpartisan” media is somehow objective, philosophically in tune with science.

historically, this is far from true. Up until the late 19th century, American journalism was quite partisan, serving substantial “niche” audiences, sustained by subscriptions.

hen advertising exploded as a revenue source in the early 20th century, a new journalistic model emerged, trying to appeal across parties, while taking care not to anger large advertisers. The broader story is well told by Paul Starr in “The Creation of the Media

Jeremy Iggers incorporates this history into his account of how journalism ethics confuses the purposes of journalism in “Good News, Bad News: Journalism Ethics and the Public Interest.”

Such is the basis for the media’s claims of “objectivity.” Starr’s history explains the forces leading to why this happened.

the blogosphere’s origins were not just Usenet, email lists and the like, they were also the underground press tracing back to IF Stone’s Weekly and George Seldes’ In Fact; the black press, both commercial and movement-based; political journals of the left and right; and so on

These underappreciated traditions provide largely untapped examples of how to do quality political journalism outside of the artificial construct in which false balance is rooted. They point the way forward for us, beyond our current state of asymmetrical dysfunction.

Many of the worlds’ greatest medical challenges stem from poverty, inequality, discrimination, pollution, and environmental devastation, as critical race, gender, and decolonization scholars have shown us.

Let’s be alert to the ways in which risks and ethical issues present themselves at every stage of developing and implementing promising new treatments. Scientists themselves do not have to do this work. That is what social scientists do.

This is the big problem in science that no one is talking about: even an honest person is a master of self-deception. Our brains evolved long ago on the African savannah, where jumping to plausible conclusions about the location of ripe fruit or the presence of a predator was a matter of survival. But a smart strategy for evading lions does not necessarily translate well to a modern laboratory, where tenure may be riding on the analysis of terabytes of multidimensional data. In today's environment, our talent for jumping to conclusions makes it all too easy to find false patterns in randomness, to ignore alternative explanations for a result or to accept 'reasonable' outcomes without question — that is, to ceaselessly lead ourselves astray without realizing it.

Failure to understand our own biases has helped to create a crisis of confidence about the reproducibility of published results

Although it is impossible to document how often researchers fool themselves in data analysis, says Ioannidis, findings of irreproducibility beg for an explanation. The study of 100 psychology papers is a case in point: if one assumes that the vast majority of the original researchers were honest and diligent, then a large proportion of the problems can be explained only by unconscious biases. “This is a great time for research on research,” he says. “The massive growth of science allows for a massive number of results, and a massive number of errors and biases to study. So there's good reason to hope we can find better ways to deal with these problems.”

Although the human brain and its cognitive biases have been the same for as long as we have been doing science, some important things have changed, says psychologist Brian Nosek, executive director of the non-profit Center for Open Science in Charlottesville, Virginia, which works to increase the transparency and reproducibility of scientific research. Today's academic environment is more competitive than ever. There is an emphasis on piling up publications with statistically significant results — that is, with data relationships in which a commonly used measure of statistical certainty, the p-value, is 0.05 or less. “As a researcher, I'm not trying to produce misleading results,” says Nosek. “But I do have a stake in the outcome.” And that gives the mind excellent motivation to find what it is primed to find.

Another reason for concern about cognitive bias is the advent of staggeringly large multivariate data sets, often harbouring only a faint signal in a sea of random noise. Statistical methods have barely caught up with such data, and our brain's methods are even worse, says Keith Baggerly, a statistician at the University of Texas MD Anderson Cancer Center in Houston. As he told a conference on challenges in bioinformatics last September in Research Triangle Park, North Carolina, “Our intuition when we start looking at 50, or hundreds of, variables sucks.”

One trap that awaits during the early stages of research is what might be called hypothesis myopia: investigators fixate on collecting evidence to support just one hypothesis; neglect to look for evidence against it; and fail to consider other explanations.