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The study found viewers who watch more local TV news demonstrate more unconscious negative attitudes toward African Americans.

Implicit Association Test to approach the question to determine if there may be an unconscious bias at play. The Implicit Association Test is a word association test

"You actually have images of African Americans and Caucasians flashed on the screen with words that you have to sort. Sometimes good words will be sorted with African American, sometimes good will be sorted with Caucasian and same with bad. What you find is generally people who are bias, it takes them longer to pare what good is supposed to be with African American than good with Caucasian. So that gets a hidden connection in the mind where negativity is generally associated with African Americans and positivity generally associated with being Caucasians."

The United States has one of the world’s largest pay gaps, with chief executives earning nearly 300 times what the average worker makes, according to some economists’ estimates. That is much higher than the 20-to-1 ratio recommended by Gilded Age magnates like J. Pierpont Morgan and the 20th century management visionary Peter Drucker.

“The market rate for me as a C.E.O. compared to a regular person is ridiculous, it’s absurd,” said Mr. Price, who said his main extravagances were snowboarding and picking up the bar bill. He drives a 12-year-old Audi

Under a financial overhaul passed by Congress in 2010, the Securities and Exchange Commission was supposed to require all publicly held companies to disclose the ratio of C.E.O. pay to the median pay of all other employees, but it has so far failed to put it in effect. Corporate executives have vigorously opposed the idea, complaining it would be cumbersome and costly to implement.

Of all the social issues that he felt he was in a position to do something about as a business leader, “that one seemed like a more worthy issue to go after.”

The happiness research behind Mr. Price’s announcement on Monday came from Angus Deaton and Daniel Kahneman, a Nobel Prize-winning psychologist. They found that what they called emotional well-being — defined as “the emotional quality of an individual’s everyday experience, the frequency and intensity of experiences of joy, stress, sadness, anger, and affection that make one’s life pleasant or unpleasant” — rises with income, but only to a point. And that point turns out to be about $75,000 a year.

Of course, money above that level brings pleasures — there’s no denying the delights of a Caribbean cruise or a pair of diamond earrings — but no further gains on the emotional well-being scale.

As Mr. Kahneman has explained it, income above the threshold doesn’t buy happiness, but a lack of money can deprive you of it.

In other words, people are doing their best to blend in with the crowd.

The challenge of achieving true anonymity, though, is that evading surveillance makes your behavior anomalous—and anomalies stick out. As the Japanese proverb says, "A nail that sticks out gets hammered down." Glenn Greenwald explained recently that simply using encryption can make you a target. For me, this was all the more motivation to disappear.

For those of us who feel confident that we have nothing to hide, the future of Internet security might not seem like a major concern. But we underestimate the many ways in which our online identities can be manipulated.

The U.S. Department of Defense has also figured out how influential Facebook and Twitter can be. In 2011, it announced a new “Social Media in Strategic Communication” (SMISC) program to detect and counter information the U.S. government deemed dangerous. “Since everyone is potentially an influencer on social media and is capable of spreading information,” one researcher involved in a SMISC study told The Guardian, “our work aims to identify and engage the right people at the right time on social media to help propagate information when needed.”

Private companies are also using personal information in hidden ways. They don’t simply learn our tastes and habits, offering us more of what want and less of what we don’t. As Michael Fertik wrote in a 2013 Scientific American article titled “The Rich See a Different Internet Than the Poor,” credit lenders have the ability to hide their offers from people who may need loans the most. And Google now has a patent to change its prices based on who’s buying. 

It is essentially impossible to achieve anonymity online. It requires a complete operational posture that extends from the digital to the physical. Downloading a secure messaging app and using Tor won’t all of a sudden make you “NSA-proof.” And doing it right is really, really hard.

Weighing these trade-offs in my day-to-day life led to a few behavioral changes, but I have a mostly normal relationship with the Internet—I deleted my Facebook account, I encrypt my emails whenever I can, and I use a handful of privacy minded browser extensions. But even those are steps many people are unwilling, or unable, to take.

One, as mentioned, is the suppression of negative results. The second is selective reporting of only the statistical analyses of data that provide a significant score. “Practically any data set, if it is tortured enough, will confess, and you will get a statistically significant result,”

, a publication bias “almost certainly” applies in other areas of preclinical research,

he suggested that a forum where investigators can deposit neutral or negative results in the form of articles, should be established to ensure that such findings are in the public arena and not hidden. This should help prevent other researchers from pursuing fruitless avenues of research, he said, “which is a waste of animals and a waste of research money.” Not to mention a risk to people enrolled in potentially pointless trials.

At M.I.T., however, Keynes never went away. To be sure, stagflation showed that there were limits to what policy can do. But students continued to learn about the imperfections of markets and the role that monetary and fiscal policy can play in boosting a depressed economy.

And the M.I.T. students of the 1970s enlarged on those insights in their later work. Mr. Blanchard, for example, showed how small deviations from perfect rationality can have large economic consequences; Mr. Obstfeld showed that currency markets can sometimes experience self-fulfilling panic.

This open-minded, pragmatic approach was overwhelmingly vindicated after crisis struck in 2008. Chicago-school types warned incessantly that responding to the crisis by printing money and running deficits would lead to 70s-type stagflation, with soaring inflation and interest rates. But M.I.T. types predicted, correctly, that inflation and interest rates would stay low in a depressed economy, and that attempts to slash deficits too soon would deepen the slump.

The truth, although nobody will believe it, is that the economic analysis some of us learned at M.I.T. way back when has worked very, very well for the past seven years.

But has the intellectual success of M.I.T. economics led to comparable policy success? Unfortunately, the answer is no.

True, there have been some important monetary successes. The Fed, led by Mr. Bernanke, ignored right-wing pressure and threats — Rick Perry, as governor of Texas, went so far as to accuse him of treason — and pursued an aggressively expansionary policy that helped limit the damage from the financial crisis. In Europe, Mr. Draghi’s activism has been crucial to calming financial markets, probably saving the euro from collapse. Continue reading the main story 215 Comments

On other fronts, however, the M.I.T. gang’s good advice has been ignored. The I.M.F.’s research department, under Mr. Blanchard’s leadership, has done authoritative work on the effects of fiscal policy, demonstrating beyond any reasonable doubt that slashing spending in a depressed economy is a terrible mistake, and that attempts to reduce high levels of debt via austerity are self-defeating. But European politicians have slashed spending and demanded crippling austerity from debtors anyway.

Meanwhile, in the United States, Republicans have responded to the utter failure of free-market orthodoxy and the remarkably successful predictions of much-hated Keynesians by digging in even deeper, determined to learn nothing from experience.

being right isn’t necessarily enough to change the world. But it’s still better to be right than to be wrong, and M.I.T.-style economics, with its pragmatic openness to evidence, has been very right indeed

“People in the Nuba Mountains will never forget his name,” said Lt. Col. Aburass Albino Kuku of the rebel military force. “People are praying that he never dies.”

A Muslim paramount chief named Hussein Nalukuri Cuppi offered an even more unusual tribute.“He’s Jesus Christ,” he said. Continue reading the main story Write A Comment Er, pardon?The chief explained that Jesus healed the sick, made the blind see and helped the lame walk — and that is what Dr. Tom does every day.You needn’t be a conservative Catholic or evangelical Christian to celebrate that kind of selflessness. Just human.

Science is not a body of facts that emerge, like an orderly string of light bulbs, to illuminate a linear path to universal truth. Rather, science (to paraphrase Henry Gee, an editor at Nature) is a method to quantify doubt about a hypothesis, and to find the contexts in which a phenomenon is likely. Failure to replicate is not a bug; it is a feature. It is what leads us along the path — the wonderfully twisty path — of scientific discovery.

As an economist, I look at it this way: Every profession produces both private returns — the fruits of labor that a person enjoys — and social returns — those that society enjoys. If I set up a shop on Etsy selling photographs, my private returns may be defined as the revenue I generate. The social returns are the pleasure that my photographs provide to my customers.

People in some professions provide a surplus of social returns. Inventors are a good example. Take the modern semiconductor. It made possible countless other inventions — nearly every piece of computing we interact with today.

countries suffer when talented people become what we economists call “rent seekers.” Instead of creating wealth, rent seekers simply transfer it — from others to themselves.

Job titles don’t tell you whether someone is primarily a rent seeker. A lawyer who helps draft precise contracts may actually be helping the wheels of commerce turn, and so creating wealth. But trial lawyers in a country with poorly functioning tort systems may simply be extracting rents: They can make money by pursuing frivolous lawsuits.

In this respect, finance is a vexing industry.

I can’t help wondering: Is this the best use of talent?

Booth, have shown in a study how extreme this financial gold rush has become in at least one corner of the financial world. From 2005 to 2011, they found that the duration of arbitrage opportunities in the Chicago Mercantile Exchange and the New York Stock Exchange declined from a median of 97 milliseconds to seven milliseconds

correcting mispricing at this speed is unlikely to have any real social benefit: What serious investment is being guided by prices at the millisecond level? Short-term arbitrage, while lucrative, seems to be mainly rent-seeking.

This kind of rent-seeking behavior is widespread in other parts of finance. Banks sometimes make money by using hidden fees rather than adding true value. Debt collection agencies may use unscrupulous practices. Lenders to poor people buying used cars can make profits with business models that encourage high rates of default — making money by taking advantage of people’s overconfidence about what cars they can afford and by repossessing vehicles. These kinds of practices may be both lucrative — and socially pernicious.

The poor face a tremendous problem every day juggling money and expenses. Their pay often fluctuates week by week, yet they must pay rent no matter what they earn. Right now, poor people often use expensive payday loans or must incur expensive late fees.

Surely we could do better. Finding ways to smooth out these shocks is the kind of important, socially valuable problem that finance could solve. Many other crucial social problems have finance at their root, from saving for college to insuring unemployment risk.

Instead of finding clever ways to hide fees, banking innovations could solve these real and important problems.

So how should I feel about my students going into finance? I hope they realize that they have the potential to do great good and not simply make money. It may not be how the industry is structured now, but idealism and inventiveness are two of the best traits of youth, and finance especially could use them.

Writing The Social Animal has been an exhilarating journey. “The scientists I’ve spent the last three years talking to are truth seekers, unlike people [in Washington]. They’re not technical materialists. They love Henry and William James. They’ve helped me see how the power of deep ideas changes the way you think. It was part of my idea to go down, down, down, to look at moral and spiritual creativity, the deepest issues. You learn the importance of culture, of history—some of the deep knowledge that comes from Plato and Aristotle. Philosophy and theology are telling us less than they used to. Scientists and researchers are leaping in where these disciplines atrophy—they’re all drilling down into an explanation of what man is.”

“I have the sense it’s a big intellectual moment. You feel the heat. It’s like Silicon Valley in the ’90s.”

Of all philosophical writers on metaphor, Nietzsche probably draws the strongest conclusions from this situation. ''Tropes,'' he writes, ''are not something that can be added or abstracted from language at will—they are its truest nature.'' He argues that there is ''no real knowing apart from metaphor,'' by which he means that we experience reality through metaphors, and our notion of literal meaning simply reflects the ossification of language, as figures of speech lose their vitality. He emphasizes in The Genealogy of Morals how metaphor tends to extend its sway, to bring wider ranges of experience under its wing. He goes so far as to say that ''the drive toward the formation of metaphor is the fundamental human drive.'' For him, literal and figurative meaning are not stable categories, but historical ones determined by their social context.

the evolution of abstractions is always a case of going from the physical and sensible to the abstract.

in 2001, the top 10 websites accounted for 31 percent of all U.S. page views, but, by 2010, they accounted for 75 percent of them.

As a result, our A.I. future is likely to be ruled by an oligarchy of two or three large, general-purpose cloud-based commercial intelligences.”

Advances in artificial intelligence will accelerate this centralizing trend. That’s because A.I. companies will be able to reap the rewards of network effects. The bigger their network and the more data they collect, the more effective and attractive they become.

The Internet has created a long tail, but almost all the revenue and power is among the small elite at the head.

engineers at a few gigantic companies will have vast-though-hidden power to shape how data are collected and framed, to harvest huge amounts of information, to build the frameworks through which the rest of us make decisions and to steer our choices. If you think this power will be used for entirely benign ends, then you have not read enough history.

The second implication is philosophical. A.I. will redefine what it means to be human. Our identity as humans is shaped by what machines and other animals can’t do

On the other hand, machines cannot beat us at the things we do without conscious thinking: developing tastes and affections, mimicking each other and building emotional attachments, experiencing imaginative breakthroughs, forming moral sentiments.

For the last few centuries, reason was seen as the ultimate human faculty. But now machines are better at many of the tasks we associate with thinking — like playing chess, winning at Jeopardy, and doing math.

In the age of smart machines, we’re not human because we have big brains. We’re human because we have social skills, emotional capacities and moral intuitions.

I could paint two divergent A.I. futures, one deeply humanistic, and one soullessly utilitarian.

In the humanistic one, machines liberate us from mental drudgery so we can focus on higher and happier things. In this future, differences in innate I.Q. are less important. Everybody has Google on their phones so having a great memory or the ability to calculate with big numbers doesn’t help as much.

In this future, there is increasing emphasis on personal and moral faculties: being likable, industrious, trustworthy and affectionate. People are evaluated more on these traits, which supplement machine thinking, and not the rote ones that duplicate it

In the cold, utilitarian future, on the other hand, people become less idiosyncratic. If the choice architecture behind many decisions is based on big data from vast crowds, everybody follows the prompts and chooses to be like each other. The machine prompts us to consume what is popular, the things that are easy and mentally undemanding.

In the current issue of Wired, the technology writer Kevin Kelly says that we had all better get used to this level of predictive prowess. Kelly argues that the age of artificial intelligence is finally at hand.

In two nonfiction books, scheduled to be published in January, technology experts examine similar consumer-ranking techniques already in widespread use.

While a federal law called the Fair Credit Reporting Act requires consumer reporting agencies to provide individuals with copies of their credit reports on request, many other companies are free to keep their proprietary consumer scores to themselves.

Befitting the founder of a firm that markets reputation management, Mr. Fertik contends that individuals have some power to influence commercial scoring systems.

“This will happen whether or not you want to participate, and these scores will be used by others to make major decisions about your life, such as whether to hire, insure, or even date you,”

“Important corporate actors have unprecedented knowledge of the minutiae of our daily lives,” he writes in “The Black Box Society: The Secret Algorithms That Control Money and Information” (Harvard University Press), “while we know little to nothing about how they use this knowledge to influence important decisions that we — and they — make.”

Data brokers amass dossiers with thousands of details about individual consumers, like age, religion, ethnicity, profession, mortgage size, social networks, estimated income and health concerns such as impotence and irritable bowel syndrome. Then analytics engines can compare patterns in those variables against computer forecasting models. Algorithms are used to assign consumers scores — and to recommend offering, or withholding, particular products, services or fees — based on predictions about their behavior.

It’s a fictional forecast of a data-deterministic culture in which computer algorithms constantly analyze consumers’ profiles, issuing individuals numeric rankings that may benefit or hinder them.

Think of this technique as reputation engine optimization. If an algorithm incorrectly pegs you as physically unfit, for instance, the book suggests that you can try to mitigate the wrong. You can buy a Fitbit fitness tracker, for instance, and upload the exercise data to a public profile — or even “snap that Fitbit to your dog” and “you’ll quickly be the fittest person in your town.”

Professor Pasquale offers a more downbeat reading. Companies, he says, are using such a wide variety of numerical rating systems that it would be impossible for average people to significantly influence their scores.

“Corporations depend on automated judgments that may be wrong, biased or destructive,” Professor Pasquale writes. “Faulty data, invalid assumptions and defective models can’t be corrected when they are hidden.”

Moreover, trying to influence scoring systems could backfire. If a person attached a fitness device to a dog and tried to claim the resulting exercise log, he suggests, an algorithm might be able to tell the difference and issue that person a high score for propensity toward fraudulent activity.

“People shouldn’t think they can outwit corporations with hundreds of millions of dollars,” Professor Pasquale said in a phone interview.Consumers would have more control, he argues, if Congress extended the right to see and correct credit reports to other kinds of rankings.

A follow-up question posed to the same expert panel asked whether the total benefits of the stimulus bill will end up exceeding the costs. The idea was to take account of all of the consequences, both positive and negative. On this question, there’s greater modesty, but still no raging debate. Of the 37 respondents, 25 agreed that the benefits exceeded the costs, while 10 were uncertain. Only 2 disagreed that the stimulus was worth it.

the best research into the views of economists finds that this consensus is pervasive across a range of issues. Call it the hidden consensus in economics. It’s there, but remains largely out of sight, because in a competitive political system there’s always an incentive for at least some advocates to try to portray any empirical claim as deeply contested.

new research has found that taking photos -- an increasingly ubiquitous practice in our smartphone-obsessed culture -- actually hinders our ability to remember that which we're capturing on camera.

most of us aren't able to effectively manage the overload of information we're constantly bombarded with.When the working memory is experiencing digital overload, it's like a glass of water overflowing.

when we know a digital device or tool will remember a piece of information for us, we're less likely to remember it ourselves.

He explained that an over-reliance on technology has a tendency to encourage us to isolate pieces of information without fitting them into a broader cognitive schema.

A 2013 Trending Machine national poll found that millennials (aged 18-34) are more likely than those over the age of 55 to forget what day it is (15 percent vs. 7 percent) and where they put their keys (14 percent vs. 8 percent).

giving

he suffers from “auto-brewery syndrome”

“The problem arises when the yeast in our gut gets out of hand. Bacteria normally keep the yeast in check, but sometimes the yeast takes over.”

I couldn't find any formal negative connotations, but many people simply don't lik

Blue ranks highest. No surprise that so many corporations, banks, and other financial institutions have one or more shades of blue in their logos. White also connotes trustworthiness. All the other colors trail far behind.

When people were asked which color best represents "high quality," black surpassed blue to become the top pick by far.