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By trial and error, Ms. Oakley had learned how to learn: “The higher I went, it started to gradually make more and more sense.”

“The way you learn intensively for a language is very similar to learning well in math and science,”

“In learning math and science through K-12, it’s long been held that practice and repetition will kill your creativity,” she says. “One mistake we make in the school system is we emphasize understanding. But if you don’t build those neural circuits with practice, it’ll all slip away. You can understand out the wazoo, but it’ll just disappear if you’re not practicing with it.”

In places like China and India, “practice and repetition and rote and memorization are really important parts of education.” She sees value in both methods: “There are real benefits for Western approaches—that it really does help with creativity. And there are also real benefits to Asian approaches—that it builds a solid foundation in the most difficult disciplines, math and science.

The best education would actually be a combination of both approaches.”

She defines a “mindshift” as “a change in your outlook that occurs through intensive learning”—such as her own mastery of math and engineering.

The book is filled with advice for people who are considering a career change or who seek to develop “an attitude of lifelong learning,” even in retirement.

Her progression from desultory student to respected scholar led her to a sideline in the study of learning itself. She’s published two books on the subject, “A Mind for Numbers: How to Excel at Math and Science (Even if You Flunked Algebra)” (2014) and the new “Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential.

they developed a massive open online course, “Learning How to Learn,” which by some measures is the world’s most popular MOOC

By the end of World War II, however, American corporations were facing severe talent shortages. Their senior executives were growing old, and a dearth of hiring from the Depression through the war had resulted in a shortfall of able, well-trained managers. Finding people who had the potential to rise quickly through the ranks became an overriding preoccupation of American businesses. They began to devise a formal hiring-and-management system based in part on new studies of human behavior, and in part on military techniques developed during both world wars, when huge mobilization efforts and mass casualties created the need to get the right people into the right roles as efficiently as possible. By the 1950s, it was not unusual for companies to spend days with young applicants for professional jobs, conducting a battery of tests, all with an eye toward corner-office potential.

But companies abandoned their hard-edged practices for another important reason: many of their methods of evaluation turned out not to be very scientific.

this regime, so widespread in corporate America at mid-century, had almost disappeared by 1990. “I think an HR person from the late 1970s would be stunned to see how casually companies hire now,”

Many factors explain the change, he said, and then he ticked off a number of them: Increased job-switching has made it less important and less economical for companies to test so thoroughly. A heightened focus on short-term financial results has led to deep cuts in corporate functions that bear fruit only in the long term. The Civil Rights Act of 1964, which exposed companies to legal liability for discriminatory hiring practices, has made HR departments wary of any broadly applied and clearly scored test that might later be shown to be systematically biased.

about a quarter of the country’s corporations were using similar tests to evaluate managers and junior executives, usually to assess whether they were ready for bigger roles.

He has encouraged the company’s HR executives to think about applying the games to the recruitment and evaluation of all professional workers.

Knack makes app-based video games, among them Dungeon Scrawl, a quest game requiring the player to navigate a maze and solve puzzles, and Wasabi Waiter, which involves delivering the right sushi to the right customer at an increasingly crowded happy hour. These games aren’t just for play: they’ve been designed by a team of neuroscientists, psychologists, and data scientists to suss out human potential. Play one of them for just 20 minutes, says Guy Halfteck, Knack’s founder, and you’ll generate several megabytes of data, exponentially more than what’s collected by the SAT or a personality test. How long you hesitate before taking every action, the sequence of actions you take, how you solve problems—all of these factors and many more are logged as you play, and then are used to analyze your creativity, your persistence, your capacity to learn quickly from mistakes, your ability to prioritize, and even your social intelligence and personality. The end result, Halfteck says, is a high-resolution portrait of your psyche and intellect, and an assessment of your potential as a leader or an innovator.

When the results came back, Haringa recalled, his heart began to beat a little faster. Without ever seeing the ideas, without meeting or interviewing the people who’d proposed them, without knowing their title or background or academic pedigree, Knack’s algorithm had identified the people whose ideas had panned out. The top 10 percent of the idea generators as predicted by Knack were in fact those who’d gone furthest in the process.

What Knack is doing, Haringa told me, “is almost like a paradigm shift.” It offers a way for his GameChanger unit to avoid wasting time on the 80 people out of 100—nearly all of whom look smart, well-trained, and plausible on paper—whose ideas just aren’t likely to work out.

Aptitude, skills, personal history, psychological stability, discretion, loyalty—companies at the time felt they had a need (and the right) to look into them all. That ambit is expanding once again, and this is undeniably unsettling. Should the ideas of scientists be dismissed because of the way they play a game? Should job candidates be ranked by what their Web habits say about them? Should the “data signature” of natural leaders play a role in promotion? These are all live questions today, and they prompt heavy concerns: that we will cede one of the most subtle and human of skills, the evaluation of the gifts and promise of other people, to machines; that the models will get it wrong; that some people will never get a shot in the new workforce.

scoring distance from work could violate equal-employment-opportunity standards. Marital status? Motherhood? Church membership? “Stuff like that,” Meyerle said, “we just don’t touch”—at least not in the U.S., where the legal environment is strict. Meyerle told me that Evolv has looked into these sorts of factors in its work for clients abroad, and that some of them produce “startling results.”

consider the alternative. A mountain of scholarly literature has shown that the intuitive way we now judge professional potential is rife with snap judgments and hidden biases, rooted in our upbringing or in deep neurological connections that doubtless served us well on the savanna but would seem to have less bearing on the world of work.

We may like to think that society has become more enlightened since those days, and in many ways it has, but our biases are mostly unconscious, and they can run surprisingly deep. Consider race. For a 2004 study called “Are Emily and Greg More Employable Than Lakisha and Jamal?,” the economists Sendhil Mullainathan and Marianne Bertrand put white-sounding names (Emily Walsh, Greg Baker) or black-sounding names (Lakisha Washington, Jamal Jones) on similar fictitious résumés, which they then sent out to a variety of companies in Boston and Chicago. To get the same number of callbacks, they learned, they needed to either send out half again as many résumés with black names as those with white names, or add eight extra years of relevant work experience to the résumés with black names.

a sociologist at Northwestern, spent parts of the three years from 2006 to 2008 interviewing professionals from elite investment banks, consultancies, and law firms about how they recruited, interviewed, and evaluated candidates, and concluded that among the most important factors driving their hiring recommendations were—wait for it—shared leisure interests.

Lacking “reliable predictors of future performance,” Rivera writes, “assessors purposefully used their own experiences as models of merit.” Former college athletes “typically prized participation in varsity sports above all other types of involvement.” People who’d majored in engineering gave engineers a leg up, believing they were better prepared.

the prevailing system of hiring and management in this country involves a level of dysfunction that should be inconceivable in an economy as sophisticated as ours. Recent survey data collected by the Corporate Executive Board, for example, indicate that nearly a quarter of all new hires leave their company within a year of their start date, and that hiring managers wish they’d never extended an offer to one out of every five members on their team

In the late 1990s, as these assessments shifted from paper to digital formats and proliferated, data scientists started doing massive tests of what makes for a successful customer-support technician or salesperson. This has unquestionably improved the quality of the workers at many firms.

In 2010, however, Xerox switched to an online evaluation that incorporates personality testing, cognitive-skill assessment, and multiple-choice questions about how the applicant would handle specific scenarios that he or she might encounter on the job. An algorithm behind the evaluation analyzes the responses, along with factual information gleaned from the candidate’s application, and spits out a color-coded rating: red (poor candidate), yellow (middling), or green (hire away). Those candidates who score best, I learned, tend to exhibit a creative but not overly inquisitive personality, and participate in at least one but not more than four social networks, among many other factors. (Previous experience, one of the few criteria that Xerox had explicitly screened for in the past, turns out to have no bearing on either productivity or retention

When Xerox started using the score in its hiring decisions, the quality of its hires immediately improved. The rate of attrition fell by 20 percent in the initial pilot period, and over time, the number of promotions rose. Xerox still interviews all candidates in person before deciding to hire them, Morse told me, but, she added, “We’re getting to the point where some of our hiring managers don’t even want to interview anymore”

Gone are the days, Ostberg told me, when, say, a small survey of college students would be used to predict the statistical validity of an evaluation tool. “We’ve got a data set of 347,000 actual employees who have gone through these different types of assessments or tools,” he told me, “and now we have performance-outcome data, and we can split those and slice and dice by industry and location.”

Evolv’s tests allow companies to capture data about everybody who applies for work, and everybody who gets hired—a complete data set from which sample bias, long a major vexation for industrial-organization psychologists, simply disappears. The sheer number of observations that this approach makes possible allows Evolv to say with precision which attributes matter more to the success of retail-sales workers (decisiveness, spatial orientation, persuasiveness) or customer-service personnel at call centers (rapport-building)

There are some data that Evolv simply won’t use, out of a concern that the information might lead to systematic bias against whole classes of people

the idea that hiring was a science fell out of favor. But now it’s coming back, thanks to new technologies and methods of analysis that are cheaper, faster, and much-wider-ranging than what we had before

what most excites him are the possibilities that arise from monitoring the entire life cycle of a worker at any given company.

Now the two companies are working together to marry pre-hire assessments to an increasing array of post-hire data: about not only performance and duration of service but also who trained the employees; who has managed them; whether they were promoted to a supervisory role, and how quickly; how they performed in that role; and why they eventually left.

What begins with an online screening test for entry-level workers ends with the transformation of nearly every aspect of hiring, performance assessment, and management.

I turned to Sandy Pentland, the director of the Human Dynamics Laboratory at MIT. In recent years, Pentland has pioneered the use of specialized electronic “badges” that transmit data about employees’ interactions as they go about their days. The badges capture all sorts of information about formal and informal conversations: their length; the tone of voice and gestures of the people involved; how much those people talk, listen, and interrupt; the degree to which they demonstrate empathy and extroversion; and more. Each badge generates about 100 data points a minute.

he tried the badges out on about 2,500 people, in 21 different organizations, and learned a number of interesting lessons. About a third of team performance, he discovered, can usually be predicted merely by the number of face-to-face exchanges among team members. (Too many is as much of a problem as too few.) Using data gathered by the badges, he was able to predict which teams would win a business-plan contest, and which workers would (rightly) say they’d had a “productive” or “creative” day. Not only that, but he claimed that his researchers had discovered the “data signature” of natural leaders, whom he called “charismatic connectors” and all of whom, he reported, circulate actively, give their time democratically to others, engage in brief but energetic conversations, and listen at least as much as they talk.

His group is developing apps to allow team members to view their own metrics more or less in real time, so that they can see, relative to the benchmarks of highly successful employees, whether they’re getting out of their offices enough, or listening enough, or spending enough time with people outside their own team.

Torrents of data are routinely collected by American companies and now sit on corporate servers, or in the cloud, awaiting analysis. Bloomberg reportedly logs every keystroke of every employee, along with their comings and goings in the office. The Las Vegas casino Harrah’s tracks the smiles of the card dealers and waitstaff on the floor (its analytics team has quantified the impact of smiling on customer satisfaction). E‑mail, of course, presents an especially rich vein to be mined for insights about our productivity, our treatment of co-workers, our willingness to collaborate or lend a hand, our patterns of written language, and what those patterns reveal about our intelligence, social skills, and behavior.

people analytics will ultimately have a vastly larger impact on the economy than the algorithms that now trade on Wall Street or figure out which ads to show us. He reminded me that we’ve witnessed this kind of transformation before in the history of management science. Near the turn of the 20th century, both Frederick Taylor and Henry Ford famously paced the factory floor with stopwatches, to improve worker efficiency.

“The quantities of data that those earlier generations were working with,” he said, “were infinitesimal compared to what’s available now. There’s been a real sea change in the past five years, where the quantities have just grown so large—petabytes, exabytes, zetta—that you start to be able to do things you never could before.”

People analytics will unquestionably provide many workers with more options and more power. Gild, for example, helps companies find undervalued software programmers, working indirectly to raise those people’s pay. Other companies are doing similar work. One called Entelo, for instance, specializes in using algorithms to identify potentially unhappy programmers who might be receptive to a phone cal

He sees it not only as a boon to a business’s productivity and overall health but also as an important new tool that individual employees can use for self-improvement: a sort of radically expanded The 7 Habits of Highly Effective People, custom-written for each of us, or at least each type of job, in the workforce.

the most exotic development in people analytics today is the creation of algorithms to assess the potential of all workers, across all companies, all the time.

The way Gild arrives at these scores is not simple. The company’s algorithms begin by scouring the Web for any and all open-source code, and for the coders who wrote it. They evaluate the code for its simplicity, elegance, documentation, and several other factors, including the frequency with which it’s been adopted by other programmers. For code that was written for paid projects, they look at completion times and other measures of productivity. Then they look at questions and answers on social forums such as Stack Overflow, a popular destination for programmers seeking advice on challenging projects. They consider how popular a given coder’s advice is, and how widely that advice ranges.

The algorithms go further still. They assess the way coders use language on social networks from LinkedIn to Twitter; the company has determined that certain phrases and words used in association with one another can distinguish expert programmers from less skilled ones. Gild knows these phrases and words are associated with good coding because it can correlate them with its evaluation of open-source code, and with the language and online behavior of programmers in good positions at prestigious companies.

having made those correlations, Gild can then score programmers who haven’t written open-source code at all, by analyzing the host of clues embedded in their online histories. They’re not all obvious, or easy to explain. Vivienne Ming, Gild’s chief scientist, told me that one solid predictor of strong coding is an affinity for a particular Japanese manga site.

Gild’s CEO, Sheeroy Desai, told me he believes his company’s approach can be applied to any occupation characterized by large, active online communities, where people post and cite individual work, ask and answer professional questions, and get feedback on projects. Graphic design is one field that the company is now looking at, and many scientific, technical, and engineering roles might also fit the bill. Regardless of their occupation, most people leave “data exhaust” in their wake, a kind of digital aura that can reveal a lot about a potential hire.

professionally relevant personality traits can be judged effectively merely by scanning Facebook feeds and photos. LinkedIn, of course, captures an enormous amount of professional data and network information, across just about every profession. A controversial start-up called Klout has made its mission the measurement and public scoring of people’s online social influence.

Mullainathan expressed amazement at how little most creative and professional workers (himself included) know about what makes them effective or ineffective in the office. Most of us can’t even say with any certainty how long we’ve spent gathering information for a given project, or our pattern of information-gathering, never mind know which parts of the pattern should be reinforced, and which jettisoned. As Mullainathan put it, we don’t know our own “production function.”

Over time, better job-matching technologies are likely to begin serving people directly, helping them see more clearly which jobs might suit them and which companies could use their skills. In the future, Gild plans to let programmers see their own profiles and take skills challenges to try to improve their scores. It intends to show them its estimates of their market value, too, and to recommend coursework that might allow them to raise their scores even more. Not least, it plans to make accessible the scores of typical hires at specific companies, so that software engineers can better see the profile they’d need to land a particular job

Knack, for its part, is making some of its video games available to anyone with a smartphone, so people can get a better sense of their strengths, and of the fields in which their strengths would be most valued. (Palo Alto High School recently adopted the games to help students assess careers.) Ultimately, the company hopes to act as matchmaker between a large network of people who play its games (or have ever played its games) and a widening roster of corporate clients, each with its own specific profile for any given type of job.

When I began my reporting for this story, I was worried that people analytics, if it worked at all, would only widen the divergent arcs of our professional lives, further gilding the path of the meritocratic elite from cradle to grave, and shutting out some workers more definitively. But I now believe the opposite is likely to happen, and that we’re headed toward a labor market that’s fairer to people at every stage of their careers

For decades, as we’ve assessed people’s potential in the professional workforce, the most important piece of data—the one that launches careers or keeps them grounded—has been educational background: typically, whether and where people went to college, and how they did there. Over the past couple of generations, colleges and universities have become the gatekeepers to a prosperous life. A degree has become a signal of intelligence and conscientiousness, one that grows stronger the more selective the school and the higher a student’s GPA, that is easily understood by employers, and that, until the advent of people analytics, was probably unrivaled in its predictive powers.

the limitations of that signal—the way it degrades with age, its overall imprecision, its many inherent biases, its extraordinary cost—are obvious. “Academic environments are artificial environments,” Laszlo Bock, Google’s senior vice president of people operations, told The New York Times in June. “People who succeed there are sort of finely trained, they’re conditioned to succeed in that environment,” which is often quite different from the workplace.

because one’s college history is such a crucial signal in our labor market, perfectly able people who simply couldn’t sit still in a classroom at the age of 16, or who didn’t have their act together at 18, or who chose not to go to graduate school at 22, routinely get left behind for good. That such early factors so profoundly affect career arcs and hiring decisions made two or three decades later is, on its face, absurd.

I spoke with managers at a lot of companies who are using advanced analytics to reevaluate and reshape their hiring, and nearly all of them told me that their research is leading them toward pools of candidates who didn’t attend college—for tech jobs, for high-end sales positions, for some managerial roles. In some limited cases, this is because their analytics revealed no benefit whatsoever to hiring people with college degrees; in other cases, and more often, it’s because they revealed signals that function far better than college history,

Google, too, is hiring a growing number of nongraduates. Many of the people I talked with reported that when it comes to high-paying and fast-track jobs, they’re reducing their preference for Ivy Leaguers and graduates of other highly selective schools.

This process is just beginning. Online courses are proliferating, and so are online markets that involve crowd-sourcing. Both arenas offer new opportunities for workers to build skills and showcase competence. Neither produces the kind of instantly recognizable signals of potential that a degree from a selective college, or a first job at a prestigious firm, might. That’s a problem for traditional hiring managers, because sifting through lots of small signals is so difficult and time-consuming.

all of these new developments raise philosophical questions. As professional performance becomes easier to measure and see, will we become slaves to our own status and potential, ever-focused on the metrics that tell us how and whether we are measuring up? Will too much knowledge about our limitations hinder achievement and stifle our dreams? All I can offer in response to these questions, ironically, is my own gut sense, which leads me to feel cautiously optimistic.

Google’s understanding of the promise of analytics is probably better than anybody else’s, and the company has been changing its hiring and management practices as a result of its ongoing analyses. (Brainteasers are no longer used in interviews, because they do not correlate with job success; GPA is not considered for anyone more than two years out of school, for the same reason—the list goes on.) But for all of Google’s technological enthusiasm, these same practices are still deeply human. A real, live person looks at every résumé the company receives. Hiring decisions are made by committee and are based in no small part on opinions formed during structured interviews.

One of the first things I ask myself when I read a headline or find a claim about a product is if the phrase is emotionally neutral. Some headlines generate outrage or fear, indicating that there is a clear bias. When we read something that exploits are emotions, we must be careful.

misinformation tends to play on our emotions a lot better than factual reporting or news.

When I’m trying to figure out whether a claim is factual, there are a few questions I always ask myself.Does the headline, article, or information evoke fear, anger, or other strong negative emotions?Where did you hear about the information? Does it cite any direct evidence?What is the expert consensus on this information?

Step 2. Evidence Synthesis and EvaluationSometimes I’m still feeling uncertain if there’s any truth to a claim. Even after taking into account the emotions it evokes, I need to find the evidence of a claim and evaluate its quality

Often, the information that I want to check is either political or scientific. There are different questions I ask myself, depending on the nature of these claims.

Political claims

Looking at multiple different outlets, each with its own unique biases, helps us get a picture of the issue.

I use multiple websites specializing in fact-checking. They provide primary sources of evidence for different types of claims. Here is a list of websites where I do my fact-checking:

SnopesPolitifactFactCheckMedia Bias/Fact Check (a bias assessor for fact-checking websites)Simply type in some keywords from the claim to find out if it’s verified with primary sources, misleading, false, or unproven.

Science claims

Often we tout science as the process by which we uncover absolute truths about the universe. Once many scientists agree on something, it gets disseminated in the news. Confusion arises once this science changes or evolves, as is what happened throughout the coronavirus pandemic. In addition to fear and misinformation, we have to address a fundamental misunderstanding of the way science works when practicing critical thinking.

It is confusing to hear about certain drugs found to cure the coronavirus one moment, followed by many other scientists and researchers saying that they don’t. How do we collect and assess these scientific claims when there are discrepancies?

A big part of these scientific findings is difficult to access for the public

Sometimes the distinction between scientific coverage and scientific articles isn’t clear. When this difference is clear, we might still find findings in different academic journals that disagree with each other. Sometimes, research that isn’t peer-reviewed receives plenty of coverage in the media

Correlation and causation: Sometimes a claim might present two factors that appear correlated. Consider recent misinformation about 5G Towers and the spread of coronavirus. While there might appear to be associations, it doesn’t necessarily mean that there is a causative relationship

To practice critical thinking with these kinds of claims, we must ask the following questions:Does this claim emerge from a peer-reviewed scientific article? Has this paper been retracted?Does this article appear in a reputable journal?What is the expert consensus on this article?

The next examples I want to bring up refer to retracted articles from peer-reviewed journals. Since science is a self-correcting process, rather than a decree of absolutes, mistakes and fraud are corrected.

Briefly, I will show you exactly how to tell if the resource you are reading is an actual, peer-reviewed scientific article.

How does science go from experiments to the news?

researchers outline exactly how they conducted their experiments so other researchers can replicate them, build upon them, or provide quality assurance for them. This scientific report does not go straight to the nearest science journalist. Websites and news outlets like Scientific American or The Atlantic do not publish scientific articles.

Here is a quick checklist that will help you figure out if you’re viewing a scientific paper.

Once it’s written up, researchers send this manuscript to a journal. Other experts in the field then provide comments, feedback, and critiques. These peer reviewers ask researchers for clarification or even more experiments to strengthen their results. Peer review often takes months or sometimes years.

Some peer-reviewed scientific journals are Science and Nature; other scientific articles are searchable through the PubMed database. If you’re curious about a topic, search for scientific papers.

Peer-review is crucial! If you’re assessing the quality of evidence for claims, peer-reviewed research is a strong indicator

Finally, there are platforms for scientists to review research even after publication in a peer-reviewed journal. Although most scientists conduct experiments and interpret their data objectively, they may still make errors. Many scientists use Twitter and PubPeer to perform a post-publication review

Step 3. Are You Practicing Objectivity?

To finish off, I want to discuss common cognitive errors that we tend to make. Finally, there are some framing questions to ask at the end of our research to help us with assessing any information that we find.

Dunning-Kruger effect: Why do we rely on experts? In 1999, David Dunning and Justin Kruger published “Unskilled and unaware of it: how difficulties in recognizing one’s own incompetence lead to inflated self-assessments.” They found that the less a person understands about a topic, the more confident of their abilities or knowledge they will be

How does this relate to critical thinking? If you’re reading a claim sourced or written by somebody who lacks expertise in a field, they are underestimating its complexity. Whenever possible, look for an authoritative source when synthesizing and evaluating evidence for a claim.

Survivorship bias: Ever heard someone argue that we don’t need vaccines or seatbelts? After all, they grew up without either of them and are still alive and healthy!These arguments are appealing at first, but they don’t account for any cases of failures. They are attributing a misplaced sense of optimism and safety by ignoring the deaths that occurred resultant from a lack of vaccinations and seatbelts

When you’re still unsure, follow the consensus of the experts within the field. Scientists pointed out flaws within this pre-print article leading to its retraction. The pre-print was removed from the server because it did not hold up to proper scientific standards or scrutiny.

Now with all the evidence we’ve gathered, we ask ourselves some final questions. There are plenty more questions you will come up with yourself, case-by-case.Who is making the original claim?Who supports these claims? What are their qualifications?What is the evidence used for these claims?Where is this evidence published?How was the evidence gathered?Why is it important?

“even if some data is supporting a claim, does it make sense?” Some claims are deceptively true but fall apart when accounting for this bias.

Maybe Rogers's muscle cells are normal, and he experiences pain as most of us do but chooses to disregard it when he feels in command.

An illusion is a perception that does not match the physical reality. Is pain, then, as with illusions, a mind construct that some people can decide to turn off? As you will see in the studies that follow, pain varies as a function of mood, attentiveness and circumstances, lending support to the theory that pain is an emotion.

You might be well-intentioned, rational, and mistaken, simply because so much in our thinking can go wrong. (“RATIONAL, adj.: Devoid of all delusions save those of observation, experience and reflection,”

You might be rational and self-deceptive, because telling yourself that you are rational can itself become a source of bias. It’s possible that you are trying to appear rational only because you want to impress people; or that you are more rational about some things (your job) than others (your kids); or that your rationality gives way to rancor as soon as your ideas are challenged. Perhaps you irrationally insist on answering difficult questions yourself when you’d be better off trusting the expert consensus.

Not just individuals but societies can fall prey to false or compromised rationality. In a 2014 book, “The Revolt of the Public and the Crisis of Authority in the New Millennium,” Martin Gurri, a C.I.A. analyst turned libertarian social thinker, argued that the unmasking of allegedly pseudo-rational institutions had become the central drama of our age: people around the world, having concluded that the bigwigs in our colleges, newsrooms, and legislatures were better at appearing rational than at being so, had embraced a nihilist populism that sees all forms of public rationality as suspect.

modern life would be impossible without those rational systems; we must improve them, not reject them. We have no choice but to wrestle with rationality—an ideal that, the sociologist Max Weber wrote, “contains within itself a world of contradictions.”

Where others might be completely convinced that G.M.O.s are bad, or that Jack is trustworthy, or that the enemy is Eurasia, a Bayesian assigns probabilities to these propositions. She doesn’t build an immovable world view; instead, by continually updating her probabilities, she inches closer to a more useful account of reality. The cooking is never done.

Rationality is one of humanity’s superpowers. How do we keep from misusing it?

Start with the big picture, fixing it firmly in your mind. Be cautious as you integrate new information, and don’t jump to conclusions. Notice when new data points do and do not alter your baseline assumptions (most of the time, they won’t alter them), but keep track of how often those assumptions seem contradicted by what’s new. Beware the power of alarming news, and proceed by putting it in a broader, real-world context.

Bayesian reasoning implies a few “best practices.”

Keep the cooked information over here and the raw information over there; remember that raw ingredients often reduce over heat

We want to live in a more rational society, but not in a falsely rationalized one. We want to be more rational as individuals, but not to overdo it. We need to know when to think and when to stop thinking, when to doubt and when to trust.

But the real power of the Bayesian approach isn’t procedural; it’s that it replaces the facts in our minds with probabilities.

Applied to specific problems—Should you invest in Tesla? How bad is the Delta variant?—the techniques promoted by rationality writers are clarifying and powerful.

the rationality movement is also a social movement; rationalists today form what is sometimes called the “rationality community,” and, as evangelists, they hope to increase its size.

In “Rationality,” “The Scout Mindset,” and other similar books, irrationality is often presented as a form of misbehavior, which might be rectified through education or socialization.

Greg tells me that, in his business, it’s not enough to have rational thoughts. Someone who’s used to pondering questions at leisure might struggle to learn and reason when the clock is ticking; someone who is good at reaching rational conclusions might not be willing to sign on the dotted line when the time comes. Greg’s hedge-fund colleagues describe as “commercial”—a compliment—someone who is not only rational but timely and decisive.

You can know what’s right but still struggle to do it.

Following through on your own conclusions is one challenge. But a rationalist must also be “metarational,” willing to hand over the thinking keys when someone else is better informed or better trained. This, too, is harder than it sounds.

For all this to happen, rationality is necessary, but not sufficient. Thinking straight is just part of the work. 

I found it possible to be metarational with my dad not just because I respected his mind but because I knew that he was a good and cautious person who had my and my mother’s best interests at heart.

between the two of us, we had the right ingredients—mutual trust, mutual concern, and a shared commitment to reason and to act.

Intellectually, we understand that our complex society requires the division of both practical and cognitive labor. We accept that our knowledge maps are limited not just by our smarts but by our time and interests. Still, like Gurri’s populists, rationalists may stage their own contrarian revolts, repeatedly finding that no one’s opinions but their own are defensible. In letting go, as in following through, one’s whole personality gets involved.

in truth, it maps out a series of escalating challenges. In search of facts, we must make do with probabilities. Unable to know it all for ourselves, we must rely on others who care enough to know. We must act while we are still uncertain, and we must act in time—sometimes individually, but often together.

The realities of rationality are humbling. Know things; want things; use what you know to get what you want. It sounds like a simple formula.

The real challenge isn’t being right but knowing how wrong you might be.By Joshua RothmanAugust 16, 2021

Writing about rationality in the early twentieth century, Weber saw himself as coming to grips with a titanic force—an ascendant outlook that was rewriting our values. He talked about rationality in many different ways. We can practice the instrumental rationality of means and ends (how do I get what I want?) and the value rationality of purposes and goals (do I have good reasons for wanting what I want?). We can pursue the rationality of affect (am I cool, calm, and collected?) or develop the rationality of habit (do I live an ordered, or “rationalized,” life?).

Weber worried that it was turning each individual into a “cog in the machine,” and life into an “iron cage.” Today, rationality and the words around it are still shadowed with Weberian pessimism and cursed with double meanings. You’re rationalizing the org chart: are you bringing order to chaos, or justifying the illogical?

For Aristotle, rationality was what separated human beings from animals. For the authors of “The Rationality Quotient,” it’s a mental faculty, parallel to but distinct from intelligence, which involves a person’s ability to juggle many scenarios in her head at once, without letting any one monopolize her attention or bias her against the rest.

In “The Rationality Quotient: Toward a Test of Rational Thinking” (M.I.T.), from 2016, the psychologists Keith E. Stanovich, Richard F. West, and Maggie E. Toplak call rationality “a torturous and tortured term,” in part because philosophers, sociologists, psychologists, and economists have all defined it differently

Galef, who hosts a podcast called “Rationally Speaking” and co-founded the nonprofit Center for Applied Rationality, in Berkeley, barely uses the word “rationality” in her book on the subject. Instead, she describes a “scout mindset,” which can help you “to recognize when you are wrong, to seek out your blind spots, to test your assumptions and change course.” (The “soldier mindset,” by contrast, encourages you to defend your positions at any cost.)

Galef tends to see rationality as a method for acquiring more accurate views.

Pinker, a cognitive and evolutionary psychologist, sees it instrumentally, as “the ability to use knowledge to attain goals.” By this definition, to be a rational person you have to know things, you have to want things, and you have to use what you know to get what you want.

Introspection is key to rationality. A rational person must practice what the neuroscientist Stephen Fleming, in “Know Thyself: The Science of Self-Awareness” (Basic Books), calls “metacognition,” or “the ability to think about our own thinking”—“a fragile, beautiful, and frankly bizarre feature of the human mind.”

A successful student uses metacognition to know when he needs to study more and when he’s studied enough: essentially, parts of his brain are monitoring other parts.

In everyday life, the biggest obstacle to metacognition is what psychologists call the “illusion of fluency.” As we perform increasingly familiar tasks, we monitor our performance less rigorously; this happens when we drive, or fold laundry, and also when we think thoughts we’ve thought many times before

The trick is to break the illusion of fluency, and to encourage an “awareness of ignorance.”

metacognition is a skill. Some people are better at it than others. Galef believes that, by “calibrating” our metacognitive minds, we can improve our performance and so become more rational

There are many calibration methods

nowing about what you know is Rationality 101. The advanced coursework has to do with changes in your knowledge.

Most of us stay informed straightforwardly—by taking in new information. Rationalists do the same, but self-consciously, with an eye to deliberately redrawing their mental maps.

The challenge is that news about distant territories drifts in from many sources; fresh facts and opinions aren’t uniformly significant. In recent decades, rationalists confronting this problem have rallied behind the work of Thomas Bayes

So-called Bayesian reasoning—a particular thinking technique, with its own distinctive jargon—has become de rigueur.

the basic idea is simple. When new information comes in, you don’t want it to replace old information wholesale. Instead, you want it to modify what you already know to an appropriate degree. The degree of modification depends both on your confidence in your preëxisting knowledge and on the value of the new data. Bayesian reasoners begin with what they call the “prior” probability of something being true, and then find out if they need to adjust it.

Bayesian reasoning is an approach to statistics, but you can use it to interpret all sorts of new information.

Yes, he knew they had other classes, jobs and extracurriculars; they could make arrangements to do that work silently and without a computer.

The class eased into the vow of silence, first restricting speech to 100 words a day. Other rules began on Day 1: no jewelry or makeup in class. Men and women sat separately and wore different “habits”: white shirts for the men, women in black. (Nonbinary and transgender students sat with the gender of their choice.)

Dr. McDaniel discouraged them from sharing personal information; they should get to know one another only through ideas. “He gave us new names, based on our birth time and day, using a Thai birth chart,”

“We were practicing living a monastic life. We had to wake up at 5 a.m. and journal every 30 minutes.”

If you tried to cruise to a C, you missed the point: “I realized the only way for me to get the most out of this class was to experience it all,” she said. (She got Dr. McDaniel’s permission to break her vow of silence in order to talk to patients during her clinical rotation.)

Dr. McDaniel also teaches a course called Existential Despair. Students meet once a week from 5 p.m. to midnight in a building with comfy couches, turn over their phones and curl up to read an assigned novel (cover to cover) in one sitting — books like James Baldwin’s “Giovanni’s Room” and José Saramago’s “Blindness.” Then they stay up late discussing it.

The course is not about hope, overcoming things, heroic stories,” Dr. McDaniel said. Many of the books “start sad. In the middle they’re sad. They stay sad. I’m not concerned with their 20-year-old self. I’m worried about them at my age, dealing with breast cancer, their dad dying, their child being an addict, a career that never worked out — so when they’re dealing with the bigger things in life, they know they’re not alone.”

Both courses have long wait lists. Students are hungry for a low-tech, introspective experience —

Research suggests that underprivileged young people have far fewer opportunities to think for unbroken stretches of time, so they may need even more space in college to develop what social scientists call cognitive endurance.

Yet the most visible higher ed trends are moving in the other direction

Rather than ban phones and laptops from class, some professors are brainstorming ways to embrace students’ tech addictions with class Facebook and Instagram accounts, audience response apps — and perhaps even including the friends and relatives whom students text during class as virtual participants in class discussion.

Then there’s that other unwelcome classroom visitor: artificial intelligence.

stop worrying and love the bot by designing assignments that “help students develop their prompting skills” or “use ChatGPT to generate a first draft,” according to a tip sheet produced by the Center for Teaching and Learning at Washington University in St. Louis.

It’s not at all clear that we want a future dominated by A.I.’s amoral, Cheez Whiz version of human thought

It is abundantly clear that texting, tagging and chatbotting are making students miserable right now.

One recent national survey found that 60 percent of American college students reported the symptoms of at least one mental health problem and that 15 percent said they were considering suicide

A recent meta-analysis of 36 studies of college students’ mental health found a significant correlation between longer screen time and higher risk of anxiety and depression

And while social media can sometimes help suffering students connect with peers, research on teenagers and college students suggests that overall, the support of a virtual community cannot compensate for the vortex of gossip, bullying and Instagram posturing that is bound to rot any normal person’s self-esteem.

We need an intervention: maybe not a vow of silence but a bold move to put the screens, the pinging notifications and creepy humanoid A.I. chatbots in their proper place

it does mean selectively returning to the university’s roots in the monastic schools of medieval Europe and rekindling the old-fashioned quest for meaning.

Colleges should offer a radically low-tech first-year program for students who want to apply: a secular monastery within the modern university, with a curated set of courses that ban glowing rectangles of any kind from the classroom

Students could opt to live in dorms that restrict technology, too

I prophesy that universities that do this will be surprised by how much demand there is. I frequently talk to students who resent the distracting laptops all around them during class. They feel the tug of the “imaginary string attaching me to my phone, where I have to constantly check it,”

Many, if not most, students want the elusive experience of uninterrupted thought, the kind where a hash of half-baked notions slowly becomes an idea about the world.

Even if your goal is effective use of the latest chatbot, it behooves you to read books in hard copies and read enough of them to learn what an elegant paragraph sounds like. How else will students recognize when ChatGPT churns out decent prose instead of bureaucratic drivel?

Most important, students need head space to think about their ultimate values.

His course offers a chance to temporarily exchange those unconscious structures for a set of deliberate, countercultural ones.

here are the student learning outcomes universities should focus on: cognitive endurance and existential clarity.

Contemplation and marathon reading are not ends in themselves or mere vacations from real life but are among the best ways to figure out your own answer to the question of what a human being is for

When students finish, they can move right into their area of specialization and wire up their skulls with all the technology they want, armed with the habits and perspective to do so responsibly

it’s worth learning from the radicals. Dr. McDaniel, the religious studies professor at Penn, has a long history with different monastic traditions. He grew up in Philadelphia, educated by Hungarian Catholic monks. After college, he volunteered in Thailand and Laos and lived as a Buddhist monk.

e found that no amount of academic reading could help undergraduates truly understand why “people voluntarily take on celibacy, give up drinking and put themselves under authorities they don’t need to,” he told me. So for 20 years, he has helped students try it out — and question some of their assumptions about what it means to find themselves.

“On college campuses, these students think they’re all being individuals, going out and being wild,” he said. “But they’re in a playpen. I tell them, ‘You know you’ll be protected by campus police and lawyers. You have this entire apparatus set up for you. You think you’re being an individual, but look at your four friends: They all look exactly like you and sound like you. We exist in these very strict structures we like to pretend don’t exist.’”

Colleges could do all this in classes integrated with general education requirements: ideally, a sequence of great books seminars focused on classic texts from across different civilizations.

“For the last 1,500 years, Benedictines have had to deal with technology,” Placid Solari, the abbot there, told me. “For us, the question is: How do you use the tool so it supports and enhances your purpose or mission and you don’t get owned by it?”

for novices at his monastery, “part of the formation is discipline to learn how to control technology use.” After this initial time of limited phone and TV “to wean them away from overdependence on technology and its stimulation,” they get more access and mostly make their own choices.

Evan Lutz graduated this May from Belmont Abbey with a major in theology. He stressed the special Catholic context of Belmont’s resident monks; if you experiment with monastic practices without investigating the whole worldview, it can become a shallow kind of mindfulness tourism.

The monks at Belmont Abbey do more than model contemplation and focus. Their presence compels even non-Christians on campus to think seriously about vocation and the meaning of life. “Either what the monks are doing is valuable and based on something true, or it’s completely ridiculous,” Mr. Lutz said. “In both cases, there’s something striking there, and it asks people a question.”

Pondering ultimate questions and cultivating cognitive endurance should not be luxury goods.

David Peña-Guzmán, who teaches philosophy at San Francisco State University, read about Dr. McDaniel’s Existential Despair course and decided he wanted to create a similar one. He called it the Reading Experiment. A small group of humanities majors gathered once every two weeks for five and a half hours in a seminar room equipped with couches and a big round table. They read authors ranging from Jean-Paul Sartre to Frantz Fanon

“At the beginning of every class I’d ask students to turn off their phones and put them in ‘the Basket of Despair,’ which was a plastic bag,” he told me. “I had an extended chat with them about accessibility. The point is not to take away the phone for its own sake but to take away our primary sources of distraction. Students could keep the phone if they needed it. But all of them chose to part with their phones.”

Dr. Peña-Guzmán’s students are mostly working-class, first-generation college students. He encouraged them to be honest about their anxieties by sharing his own: “I said, ‘I’m a very slow reader, and it’s likely some or most of you will get further in the text than me because I’m E.S.L. and read quite slowly in English.’

For his students, the struggle to read long texts is “tied up with the assumption that reading can happen while multitasking and constantly interacting with technologies that are making demands on their attention, even at the level of a second,”

“These draw you out of the flow of reading. You get back to the reading, but you have to restart the sentence or even the paragraph. Often, because of these technological interventions into the reading experience, students almost experience reading backward — as constant regress, without any sense of progress. The more time they spend, the less progress they make.”

Dr. Peña-Guzmán dismissed the idea that a course like his is suitable only for students who don’t have to worry about holding down jobs or paying off student debt. “I’m worried by this assumption that certain experiences that are important for the development of personality, for a certain kind of humanistic and spiritual growth, should be reserved for the elite, especially when we know those experiences are also sources of cultural capital,

Courses like the Reading Experiment are practical, too, he added. “I can’t imagine a field that wouldn’t require some version of the skill of focused attention.”

The point is not to reject new technology but to help students retain the upper hand in their relationship with i

Ms. Rodriguez said that before she took Living Deliberately and Existential Despair, she didn’t distinguish technology from education. “I didn’t think education ever went without technology. I think that’s really weird now. You don’t need to adapt every piece of technology to be able to learn better or more,” she said. “It can form this dependency.”

The point of college is to help students become independent humans who can choose the gods they serve and the rules they follow rather than allow someone else to choose for them

The first step is dethroning the small silicon idol in their pocket — and making space for the uncomfortable silence and questions that follow

we lack practical knowledge about how to give one another the attention we crave

Some days it seems like we have intentionally built a society that gives people little guidance on how to perform the most important activities of life.

If I can shine positive attention on others, I can help them to blossom. If I see potential in others, they may come to see potential in themselves. True understanding is one of the most generous gifts any of us can give to another.

I see the results, too, in the epidemic of invisibility I encounter as a journalist. I often find myself interviewing people who tell me they feel unseen and disrespected

I’ve been working on a book called “How to Know a Person: The Art of Seeing Others Deeply and Being Deeply Seen.” I wanted it to be a practical book — so that I would learn these skills myself, and also, I hope, teach people how to understand others, how to make them feel respected, valued and understood.

I wanted to learn these skills for utilitarian reasons

If I’m going to work with someone, I don’t just want to see his superficial technical abilities. I want to understand him more deeply — to know whether he is calm in a crisis, comfortable with uncertainty or generous to colleagues.

I wanted to learn these skills for moral reasons

Many of the most productive researchers were in the habit of having breakfast or lunch with an electrical engineer named Harry Nyquist. Nyquist really listened to their challenges, got inside their heads, brought out the best in them. Nyquist, too, was an illuminator.

Finally, I wanted to learn these skills for reasons of national survival

We evolved to live with small bands of people like ourselves. Now we live in wonderfully diverse societies, but our social skills are inadequate for the divisions that exist. We live in a brutalizing time.

In any collection of humans, there are diminishers and there are illuminators. Diminishers are so into themselves, they make others feel insignificant

They stereotype and label. If they learn one thing about you, they proceed to make a series of assumptions about who you must be.

Illuminators, on the other hand, have a persistent curiosity about other people.

hey have been trained or have trained themselves in the craft of understanding others. They know how to ask the right questions at the right times — so that they can see things, at least a bit, from another’s point of view. They shine the brightness of their care on people and make them feel bigger, respected, lit up.

A biographer of the novelist E.M. Forster wrote, “To speak with him was to be seduced by an inverse charisma, a sense of being listened to with such intensity that you had to be your most honest, sharpest, and best self.” Imagine how good it would be to offer people that kind of hospitality.

social clumsiness I encounter too frequently. I’ll be leaving a party or some gathering and I’ll realize: That whole time, nobody asked me a single question. I estimate that only 30 percent of the people in the world are good question askers. The rest are nice people, but they just don’t ask. I think it’s because they haven’t been taught to and so don’t display basic curiosity about others.

Many years ago, patent lawyers at Bell Labs were trying to figure out why some employees were much more productive than others.

Illuminators are a joy to be around

The gift of attention.

Each of us has a characteristic way of showing up in the world. A person who radiates warmth will bring out the glowing sides of the people he meets, while a person who conveys formality can meet the same people and find them stiff and detached. “Attention,” the psychiatrist Iain McGilchrist writes, “is a moral act: It creates, brings aspects of things into being.”

When Jimmy sees a person — any person — he is seeing a creature with infinite value and dignity, made in the image of God. He is seeing someone so important that Jesus was willing to die for that person.

Accompaniment.

Accompaniment is an other-centered way of being with people during the normal routines of life.

If we are going to accompany someone well, we need to abandon the efficiency mind-set. We need to take our time and simply delight in another person’s way of being

I know a couple who treasure friends who are what they call “lingerable.” These are the sorts of people who are just great company, who turn conversation into a form of play and encourage you to be yourself. It’s a great talent, to be lingerable.

Other times, a good accompanist does nothing more than practice the art of presence, just being there.

The art of conversation.

If you tell me something important and then I paraphrase it back to you, what psychologists call “looping,” we can correct any misimpressions that may exist between us.

Be a loud listener. When another person is talking, you want to be listening so actively you’re burning calories.

He’s continually responding to my comments with encouraging affirmations, with “amen,” “aha” and “yes!” I love talking to that guy.

I no longer ask people: What do you think about that? Instead, I ask: How did you come to believe that? That gets them talking about the people and experiences that shaped their values.

Storify whenever possible

People are much more revealing and personal when they are telling stories.

Do the looping, especially with adolescents

If you want to know how the people around you see the world, you have to ask them. Here are a few tips I’ve collected from experts on how to become a better conversationalist:

Turn your partner into a narrator

People don’t go into enough detail when they tell you a story. If you ask specific follow-up questions — Was your boss screaming or irritated when she said that to you? What was her tone of voice? — then they will revisit the moment in a more concrete way and tell a richer story

If somebody tells you he is having trouble with his teenager, don’t turn around and say: “I know exactly what you mean. I’m having incredible problems with my own Susan.” You may think you’re trying to build a shared connection, but what you are really doing is shifting attention back to yourself.

Don’t be a topper

Big questions.

The quality of your conversations will depend on the quality of your questions

As adults, we get more inhibited with our questions, if we even ask them at all. I’ve learned we’re generally too cautious. People are dying to tell you their stories. Very often, no one has ever asked about them.

So when I first meet people, I tend to ask them where they grew up. People are at their best when talking about their childhoods. Or I ask where they got their names. That gets them talking about their families and ethnic backgrounds.

After you’ve established trust with a person, it’s great to ask 30,000-foot questions, ones that lift people out of their daily vantage points and help them see themselves from above.

These are questions like: What crossroads are you at? Most people are in the middle of some life transition; this question encourages them to step back and describe theirs

I’ve learned it’s best to resist this temptation. My first job in any conversation across difference or inequality is to stand in other people’s standpoint and fully understand how the world looks to them. I’ve found it’s best to ask other people three separate times and in three different ways about what they have just said. “I want to understand as much as possible. What am I missing here?”

Can you be yourself where you are and still fit in? And: What would you do if you weren’t afraid? Or: If you died today, what would you regret not doing?

“What have you said yes to that you no longer really believe in?

“What is the no, or refusal, you keep postponing?”

“What is the gift you currently hold in exile?,” meaning, what talent are you not using

“Why you?” Why was it you who started that business? Why was it you who ran for school board? She wants to understand why a person felt the call of responsibility. She wants to understand motivation.

“How do your ancestors show up in your life?” But it led to a great conversation in which each of us talked about how we’d been formed by our family heritages and cultures. I’ve come to think of questioning as a moral practice. When you’re asking good questions, you’re adopting a posture of humility, and you’re honoring the other person.

Stand in their standpoint

I used to feel the temptation to get defensive, to say: “You don’t know everything I’m dealing with. You don’t know that I’m one of the good guys here.”

If the next five years is a chapter in your life, what is the chapter about?

every conversation takes place on two levels

The official conversation is represented by the words we are saying on whatever topic we are talking about. The actual conversations occur amid the ebb and flow of emotions that get transmitted as we talk. With every comment I am showing you respect or disrespect, making you feel a little safer or a little more threatened.

If we let fear and a sense of threat build our conversation, then very quickly our motivations will deteriorate

If, on the other hand, I show persistent curiosity about your viewpoint, I show respect. And as the authors of “Crucial Conversations” observe, in any conversation, respect is like air. When it’s present nobody notices it, and when it’s absent it’s all anybody can think about.

the novelist and philosopher Iris Murdoch argued that the essential moral skill is being considerate to others in the complex circumstances of everyday life. Morality is about how we interact with each other minute by minute.

I used to think the wise person was a lofty sage who doled out life-altering advice in the manner of Yoda or Dumbledore or Solomon. But now I think the wise person’s essential gift is tender receptivity.

The illuminators offer the privilege of witness. They take the anecdotes, rationalizations and episodes we tell and see us in a noble struggle. They see the way we’re navigating the dialectics of life — intimacy versus independence, control versus freedom — and understand that our current selves are just where we are right now on our long continuum of growth.

The really good confidants — the people we go to when we are troubled — are more like coaches than philosopher kings.

They take in your story, accept it, but prod you to clarify what it is you really want, or to name the baggage you left out of your clean tale.

They’re not here to fix you; they are here simply to help you edit your story so that it’s more honest and accurate. They’re here to call you by name, as beloved

They see who you are becoming before you do and provide you with a reputation you can then go live into.

there has been a comprehensive shift in my posture. I think I’m more approachable, vulnerable. I know more about human psychology than I used to. I have a long way to go, but I’m evidence that people can change, sometimes dramatically, even in middle and older age.

Is ethnocentrism something we’re doomed to? Can we avoid it? If so, should we avoid it? Is it even a bad thing?

Philosophers have responded to the pervasive influence of culture on our moral beliefs in various ways. Many have embraced some form of skepticism.

Many have argued, for instance, that the influence of culture on our moral beliefs is evidence not of error theory but of moral relativism: the idea that the moral truth, for any given people, is determined by their culture — the set of shared practices and beliefs that they ascribe to.

it is nevertheless very hard to prove that our moral beliefs are entirely determined by our culture, or to rule out the possibility that cultures themselves take some direction from objective moral facts.

it’s not at all clear why the influence of culture on our moral beliefs should be taken as evidence that cultures influence the moral truth itself — so that, for instance, child sacrifice would be morally permissible in any community with enough members that believe it to be so. Not only does that conclusion seem unmotivated by the phenomenon under discussion, it would also paradoxically convert ethnocentrism into a kind of virtue

there are other, more straightforward, and less overtly skeptical, ways of responding to ethnocentrism. Chief among these, in my view, is the simple but humbling acknowledgment that ethnocentrism is a danger that confronts us all, but not one that should disillusion us from the pursuit of truth altogether.

The fact that our deepest-held beliefs would be different had we been born elsewhere on the planet (or even, sometimes, to different parents farther down the street), should disconcert us, make us more open to the likelihood of our own error, and spur us to rigorously evaluate our beliefs and practices against alternatives, but it need not disillusion.

in general what he argues is that if you take a look at animal cognition, human too, it's computational systems. Therefore, you want to look the units of computation. Think about a Turing machine, say, which is the simplest form of computation, you have to find units that have properties like "read", "write" and "address." That's the minimal computational unit, so you got to look in the brain for those. You're never going to find them if you look for strengthening of synaptic connections or field properties, and so on. You've got to start by looking for what's there and what's working and you see that from Marr's highest level.

it's basically in the spirit of Marr's analysis. So when you're studying vision, he argues, you first ask what kind of computational tasks is the visual system carrying out. And then you look for an algorithm that might carry out those computations and finally you search for mechanisms of the kind that would make the algorithm work. Otherwise, you may never find anything.

"Good Old Fashioned AI," as it's labeled now, made strong use of formalisms in the tradition of Gottlob Frege and Bertrand Russell, mathematical logic for example, or derivatives of it, like nonmonotonic reasoning and so on. It's interesting from a history of science perspective that even very recently, these approaches have been almost wiped out from the mainstream and have been largely replaced -- in the field that calls itself AI now -- by probabilistic and statistical models. My question is, what do you think explains that shift and is it a step in the right direction?

AI and robotics got to the point where you could actually do things that were useful, so it turned to the practical applications and somewhat, maybe not abandoned, but put to the side, the more fundamental scientific questions, just caught up in the success of the technology and achieving specific goals.

The approximating unanalyzed data kind is sort of a new approach, not totally, there's things like it in the past. It's basically a new approach that has been accelerated by the existence of massive memories, very rapid processing, which enables you to do things like this that you couldn't have done by hand. But I think, myself, that it is leading subjects like computational cognitive science into a direction of maybe some practical applicability... ..in engineering? Chomsky: ...But away from understanding.

I was very skeptical about the original work. I thought it was first of all way too optimistic, it was assuming you could achieve things that required real understanding of systems that were barely understood, and you just can't get to that understanding by throwing a complicated machine at it.

if success is defined as getting a fair approximation to a mass of chaotic unanalyzed data, then it's way better to do it this way than to do it the way the physicists do, you know, no thought experiments about frictionless planes and so on and so forth. But you won't get the kind of understanding that the sciences have always been aimed at -- what you'll get at is an approximation to what's happening.

Suppose you want to predict tomorrow's weather. One way to do it is okay I'll get my statistical priors, if you like, there's a high probability that tomorrow's weather here will be the same as it was yesterday in Cleveland, so I'll stick that in, and where the sun is will have some effect, so I'll stick that in, and you get a bunch of assumptions like that, you run the experiment, you look at it over and over again, you correct it by Bayesian methods, you get better priors. You get a pretty good approximation of what tomorrow's weather is going to be. That's not what meteorologists do -- they want to understand how it's working. And these are just two different concepts of what success means, of what achievement is.

if you get more and more data, and better and better statistics, you can get a better and better approximation to some immense corpus of text, like everything in The Wall Street Journal archives -- but you learn nothing about the language.

the right approach, is to try to see if you can understand what the fundamental principles are that deal with the core properties, and recognize that in the actual usage, there's going to be a thousand other variables intervening -- kind of like what's happening outside the window, and you'll sort of tack those on later on if you want better approximations, that's a different approach.

take a concrete example of a new field in neuroscience, called Connectomics, where the goal is to find the wiring diagram of very complex organisms, find the connectivity of all the neurons in say human cerebral cortex, or mouse cortex. This approach was criticized by Sidney Brenner, who in many ways is [historically] one of the originators of the approach. Advocates of this field don't stop to ask if the wiring diagram is the right level of abstraction -- maybe it's no

if you went to MIT in the 1960s, or now, it's completely different. No matter what engineering field you're in, you learn the same basic science and mathematics. And then maybe you learn a little bit about how to apply it. But that's a very different approach. And it resulted maybe from the fact that really for the first time in history, the basic sciences, like physics, had something really to tell engineers. And besides, technologies began to change very fast, so not very much point in learning the technologies of today if it's going to be different 10 years from now. So you have to learn the fundamental science that's going to be applicable to whatever comes along next. And the same thing pretty much happened in medicine.

that's the kind of transition from something like an art, that you learn how to practice -- an analog would be trying to match some data that you don't understand, in some fashion, maybe building something that will work -- to science, what happened in the modern period, roughly Galilean science.

it turns out that there actually are neural circuits which are reacting to particular kinds of rhythm, which happen to show up in language, like syllable length and so on. And there's some evidence that that's one of the first things that the infant brain is seeking -- rhythmic structures. And going back to Gallistel and Marr, its got some computational system inside which is saying "okay, here's what I do with these things" and say, by nine months, the typical infant has rejected -- eliminated from its repertoire -- the phonetic distinctions that aren't used in its own language.

people like Shimon Ullman discovered some pretty remarkable things like the rigidity principle. You're not going to find that by statistical analysis of data. But he did find it by carefully designed experiments. Then you look for the neurophysiology, and see if you can find something there that carries out these computations. I think it's the same in language, the same in studying our arithmetical capacity, planning, almost anything you look at. Just trying to deal with the unanalyzed chaotic data is unlikely to get you anywhere, just like as it wouldn't have gotten Galileo anywhere.

with regard to cognitive science, we're kind of pre-Galilean, just beginning to open up the subject

You can invent a world -- I don't think it's our world -- but you can invent a world in which nothing happens except random changes in objects and selection on the basis of external forces. I don't think that's the way our world works, I don't think it's the way any biologist thinks it is. There are all kind of ways in which natural law imposes channels within which selection can take place, and some things can happen and other things don't happen. Plenty of things that go on in the biology in organisms aren't like this. So take the first step, meiosis. Why do cells split into spheres and not cubes? It's not random mutation and natural selection; it's a law of physics. There's no reason to think that laws of physics stop there, they work all the way through. Well, they constrain the biology, sure. Chomsky: Okay, well then it's not just random mutation and selection. It's random mutation, selection, and everything that matters, like laws of physics.

What I think is valuable is the history of science. I think we learn a lot of things from the history of science that can be very valuable to the emerging sciences. Particularly when we realize that in say, the emerging cognitive sciences, we really are in a kind of pre-Galilean stage. We don't know wh

at we're looking for anymore than Galileo did, and there's a lot to learn from that.

, researchers in one 2003 study randomly assigned one group of study participants to keep a short weekly list of the things they were grateful for, while other groups listed hassles or neutral events. Ten weeks later, the first group enjoyed significantly greater life satisfaction than the others

acting happy, regardless of feelings, coaxes one’s brain into processing positive emotions. In one famous 1993 experiment, researchers asked human subjects to smile forcibly for 20 seconds while tensing facial muscles, notably the muscles around the eyes called the orbicularis oculi (which create “crow’s feet”). They found that this action stimulated brain activity associated with positive emotions.

gratitude stimulates the hypothalamus (a key part of the brain that regulates stress) and the ventral tegmental area (part of our “reward circuitry” that produces the sensation of pleasure).

In the slightly more elegant language of the Stoic philosopher Epictetus, “He is a man of sense who does not grieve for what he has not, but rejoices in what he has.”

In addition to building our own happiness, choosing gratitude can also bring out the best in those around us

when their competence was questioned, the subjects tended to lash out with aggression and personal denigration. When shown gratitude, however, they reduced the bad behavior. That is, the best way to disarm an angry interlocutor is with a warm “thank you.”

A new study in the Journal of Consumer Psychology finds evidence that people begin to crave sweets when they are asked to express gratitude.

There are concrete strategies that each of us can adopt. First, start with “interior gratitude,” the practice of giving thanks privately

he recommends that readers systematically express gratitude in letters to loved ones and colleagues. A disciplined way to put this into practice is to make it as routine as morning coffee. Write two short emails each morning to friends, family or colleagues, thanking them for what they do.

Finally, be grateful for useless things

think of the small, useless things you experience — the smell of fall in the air, the fragment of a song that reminds you of when you were a kid. Give thanks.

First of all, they are not simply for the education of students.  This is an essential function, but the raison d’être of a college is to nourish a world of intellectual culture; that is, a world of ideas, dedicated to what we can know scientifically, understand humanistically, or express artistically.  In our society, this world is mainly populated by members of college faculties: scientists, humanists, social scientists (who straddle the humanities and the sciences properly speaking), and those who study the fine arts. Law, medicine and engineering are included to the extent that they are still understood as “learned professions,” deploying practical skills that are nonetheless deeply rooted in scientific knowledge or humanistic understanding

there are serious concerns about the quality of this experience.  In particular, the university curriculum leaves students disengaged from the material they are supposed to be learning.  They see most of their courses as intrinsically “boring,” of value only if they provide training relevant to future employment or if the teacher has a pleasing (amusing, exciting, “relevant”) way of presenting the material. As a result, students spend only as much time as they need to get what they see as acceptable grades (on average, about 12 to 14 hour a week for all courses combined).  Professors have ceased to expect genuine engagement from students and often give good grades (B or better) to work that is at best minimally adequate.

Our support for higher education makes sense only if we regard this intellectual culture as essential to our society

This has important consequences for how we regard what goes on in college classrooms.  Teachers need to see themselves as, first of all, intellectuals, dedicated to understanding poetry, history, human psychology, physics, biology — or whatever is the focus of their discipline.  But they also need to realize that this dedication expresses not just their idiosyncratic interest in certain questions but a conviction that those questions have general human significance, even apart from immediately practical applications.  This is why a discipline requires not just research but also teaching

Students, in turn, need to recognize that their college education is above all a matter of opening themselves up to new dimensions of knowledge and understanding.  Teaching is not a matter of (as we too often say) “making a subject (poetry, physics, philosophy) interesting” to students but of students coming to see how such subjects are intrinsically interesting.  It is more a matter of students moving beyond their interests than of teachers fitting their subjects to interests that students already have.   Good teaching does not make a course’s subject more interesting; it gives the students more interests — and so makes them more interesting.

I describe 6 emotional styles that are rooted in basic neuroscientific research.  The 6 styles are: 1. Resilience: How rapidly or slowly do you recover from adversity? 2. Outlook: How long does positive emotion persist following a joyful event? 3. Social Intuition: How accurate are you in detecting the non-verbal social cues of others? 4. Context: Do you regulate your emotion in a context-sensitive fashion? 5. Self-Awareness: How aware are you of your own bodily signals that constitute emotion? 6. Attention: How focused or scattered in your attention?

each of these styles has arisen inductively from the large corpus of research my colleagues and I have conducted using rigorous neuroscientific methods over the past 30 years.

they can explain the constituents of commonly found personality types. 

In the end, you realize your only real option – against almost every fiber in your irate being – is to take each knot in turn, patiently and gently undo it, loosen a little, see what happens, and move on to the next. You will never know exactly when all the knots will resolve themselves – it can happen quite quickly after a while or seemingly never. But you do know that patience, and concern with the here and now, is the only way to “solve” the “problem.” You don’t look forward with a plan; you look down with a practice.

we can say what God is not, we can speak of his attributes, but we cannot say what He is. That apophatic dimension, which reveals how I speak about God, is critical to our theology

I would also classify as arrogant those theologies that not only attempted to define with certainty and exactness God’s attributes, but also had the pretense of saying who He was.

It is only in living that we achieve hints and guesses – and only hints and guesses – of what the Divine truly is. And because the Divine is found and lost by humans in time and history, there is no reachable truth for humans outside that time and history.

We are part of an unfolding drama in which the Christian, far from clinging to some distant, pristine Truth he cannot fully understand, will seek to understand and discern the “signs of the times” as one clue as to how to live now, in the footsteps of Jesus. Or in the words of T.S. Eliot, There is only the fight to recover what has been lost And found and lost again and again: and now, under conditions That seem unpropitious. But perhaps neither gain nor loss. For us, there is only the trying. The rest is not our business.

Ratzinger’s Augustinian notion of divine revelation: it is always a radical gift; it must always be accepted without question; it comes from above to those utterly unworthy below; and we are too flawed, too sinful, too human to question it in even the slightest respect. And if we ever compromise an iota on that absolute, authentic, top-down truth, then we can know nothing as true. We are, in fact, lost for ever.

A Christian life is about patience, about the present and about trust that God is there for us. It does not seek certainty or finality to life’s endless ordeals and puzzles. It seeks through prayer and action in the world to listen to God’s plan and follow its always-unfolding intimations. It requires waiting. It requires diligence

We may never know why exactly Benedict resigned as he did. But I suspect mere exhaustion of the body and mind was not the whole of it. He had to see, because his remains such a first-rate mind, that his project had failed, that the levers he continued to pull – more and more insistent doctrinal orthodoxy, more political conflict with almost every aspect of the modern world, more fastidious control of liturgy – simply had no impact any more.

The Pope must accompany those challenging existing ways of doing things! Others may know better than he does. Or, to feminize away the patriarchy: I dream of a church that is a mother and shepherdess. The church’s ministers must be merciful, take responsibility for the people, and accompany them like the good Samaritan, who washes, cleans, and raises up his neighbor. This is pure Gospel.

the key to Francis’ expression of faith is an openness to the future, a firm place in the present, and a willingness to entertain doubt, to discern new truths and directions, and to grow. Think of Benedict’s insistence on submission of intellect and will to the only authentic truth (the Pope’s), and then read this: Within the Church countless issues are being studied and reflected upon with great freedom. Differing currents of thought in philosophy, theology, and pastoral practice, if open to being reconciled by the Spirit in respect and love, can enable the Church to grow, since all of them help to express more clearly the immense riches of God’s word. For those who long for a monolithic body of doctrine guarded by all and leaving no room for nuance, this might appear as undesirable and leading to confusion. But in fact such variety serves to bring out and develop different facets of the inexhaustible riches of the Gospel.

Francis, like Jesus, has had such an impact in such a short period of time simply because of the way he seems to be. His being does not rely on any claims to inherited, ecclesiastical authority; his very way of life is the only moral authority he wants to claim.

faith is, for Francis, a way of life, not a set of propositions. It is a way of life in community with others, lived in the present yet always, deeply, insistently aware of eternity.

Father Howard Gray S.J. has put it simply enough: Ultimately, Ignatian spirituality trusts the world as a place where God dwells and labors and gathers all to himself in an act of forgiveness where that is needed, and in an act of blessing where that is prayed for.

Underlying all this is a profound shift away from an idea of religion as doctrine and toward an idea of religion as a way of life. Faith is a constantly growing garden, not a permanently finished masterpiece

Some have suggested that much of what Francis did is compatible with PTSD. He disowned his father and family business, and he chose to live homeless, and close to naked, in the neighboring countryside, among the sick and the animals. From being the dashing man of society he had once been, he became a homeless person with what many of us today would call, at first blush, obvious mental illness.

these actions – of humility, of kindness, of compassion, and of service – are integral to Francis’ resuscitation of Christian moral authority. He is telling us that Christianity, before it is anything else, is a way of life, an orientation toward the whole, a living commitment to God through others. And he is telling us that nothing – nothing – is more powerful than this.

I would not speak about, not even for those who believe, an “absolute” truth, in the sense that absolute is something detached, something lacking any relationship. Now, the truth is a relationship! This is so true that each of us sees the truth and expresses it, starting from oneself: from one’s history and culture, from the situation in which one lives, etc. This does not mean that the truth is variable and subjective. It means that it is given to us only as a way and a life. Was it not Jesus himself who said: “I am the way, the truth, the life”? In other words, the truth is one with love, it requires humbleness and the willingness to be sought, listened to and expressed.

“proselytism is solemn nonsense.” That phrase – deployed by the Pope in dialogue with the Italian atheist Eugenio Scalfari (as reported by Scalfari) – may seem shocking at first. But it is not about denying the revelation of Jesus. It is about how that revelation is expressed and lived. Evangelism, for Francis, is emphatically not about informing others about the superiority of your own worldview and converting them to it. That kind of proselytism rests on a form of disrespect for another human being. Something else is needed:

nstead of seeming to impose new obligations, Christians should appear as people who wish to share their joy, who point to a horizon of beauty and who invite others to a delicious banquet. It is not by proselytizing that the Church grows, but “by attraction.”

what you see in the life of Saint Francis is a turn from extreme violence to extreme poverty, as if only the latter could fully compensate for the reality of the former. This was not merely an injunction to serve the poor. It is the belief that it is only by being poor or becoming poor that we can come close to God

Pope Francis insists – and has insisted throughout his long career in the church – that poverty is a key to salvation. And in choosing the name Francis, he explained last March in Assisi, this was the central reason why:

Saint Francis. His conversion came after he had gone off to war in defense of his hometown, and, after witnessing horrifying carnage, became a prisoner of war. After his release from captivity, his strange, mystical journey began.

the priority of practice over theory, of life over dogma. Evangelization is about sitting down with anyone anywhere and listening and sharing and being together. A Christian need not be afraid of this encounter. Neither should an atheist. We are in this together, in the same journey of life, with the same ultimate mystery beyond us. When we start from that place – of radical humility and radical epistemological doubt – proselytism does indeed seem like nonsense, a form of arrogance and detachment, reaching for power, not freedom. And evangelization is not about getting others to submit their intellect and will to some new set of truths; it is about an infectious joy for a new way of living in the world. All it requires – apart from joy and faith – is patience.

“Preach the Gospel always. If necessary, with words.”

But there is little sense that a political or economic system can somehow end the problem of poverty in Francis’ worldview. And there is the discomfiting idea that poverty itself is not an unmitigated evil. There is, indeed, a deep and mysterious view, enunciated by Jesus, and held most tenaciously by Saint Francis, that all wealth, all comfort, and all material goods are suspect and that poverty itself is a kind of holy state to which we should all aspire.

Not only was Saint Francis to become homeless and give up his patrimony, he was to travel on foot, wearing nothing but a rough tunic held together with rope. Whatever else it is, this is not progressivism. It sees no structural, human-devised system as a permanent improver of our material lot. It does not envision a world without poverty, but instead a church of the poor and for the poor. The only material thing it asks of the world, or of God, is daily bread – and only for today, never for tomorrow.

From this perspective, the idea that a society should be judged by the amount of things it can distribute to as many people as possible is anathema. The idea that there is a serious social and political crisis if we cannot keep our wealth growing every year above a certain rate is an absurdity.

this is a 21st-century heresy. Which means, I think, that this Pope is already emerging and will likely only further emerge as the most potent critic of the newly empowered global capitalist project.

Now, the only dominant ideology in the world is the ideology of material gain – either through the relatively free markets of the West or the state-controlled markets of the East. And so the church’s message is now harder to obscure. It stands squarely against the entire dominant ethos of our age. It is the final resistance.

For Francis, history has not come to an end, and capitalism, in as much as it is a global ideology that reduces all of human activity to the cold currency of wealth, is simply another “ism” to be toppled in humankind’s unfolding journey toward salvation on earth.

Francis will grow as the church reacts to him; it will be a dynamic, not a dogma; and it will be marked less by the revelation of new things than by the new recognition of old things, in a new language. It will be, if its propitious beginnings are any sign, a patient untying of our collective, life-denying knots.

this widespread assumption—that meditation exists only for stress reduction and labor productivity, "because that's what Americans value"—narrows the scope of the scientific lens. When the time comes to develop hypotheses around the effects of meditation, the only acceptable—and fundable—research questions are the ones that promise to deliver the answers we want to hear.

the oscillations of spiritual life parallel the experience of learning to walk, very similar to the metaphor Saint John of the Cross uses in terms of a mother weaning a child … first you are held up by a parent and it is exhilarating and wonderful, and then they take their hands away and it is terrifying and the child feels abandoned."

while meditators can better avoid difficult experiences under the guidance of seasoned teachers, there are cases where such experiences are useful signs of progress in contemplative development. Distinguishing between the two, however, remains a challenge.

One of her team's preliminary tasks—a sort of archeological literature review—was to pore through the written canons of Theravadin, Tibetan, and Zen Buddhism, as well as texts within Christianity, Judaism, and Sufism. "Not every text makes clear reference to a period of difficulty on the contemplative path," Britton says, "but many did." Related Story What Happens to the Brain During Spiritual Experiences?

"Does it promote good relationships? Does it reduce cortisol? Does it help me work harder?" asks Britton, referencing these more lucrative questions. Because studies have shown that meditation does satisfy such interests, the results, she says, are vigorously reported to the public. "But," she cautions, "what about when meditation plays a role in creating an experience that then leads to a breakup, a psychotic break, or an inability to focus at work?"

Given the juggernaut—economic and otherwise—behind the mindfulness movement, there is a lot at stake in exploring a shadow side of meditation. Upton Sinclair once observed how difficult it is to get a man to understand something when his salary depends on his not understanding it.

Among the nearly 40 dark night subjects her team has formally interviewed over the past few years, she says most were "fairly out of commission, fairly impaired for between six months [and] more than 20 years."

The Dark Night Project is young, and still very much in progress. Researchers in the field are just beginning to carefully collect and sort through the narratives of difficult meditation-related experiences. Britton has presented her findings at major Buddhist and scientific conferences, prominent retreat centers, and even to the Dalai Lama at the 24th Mind and Life Dialogue in 2012.

"There are parts of me that just want meditation to be all good. I find myself in denial sometimes, where I just want to forget all that I've learned and go back to being happy about mindfulness and promoting it, but then I get another phone call and meet someone who's in distress, and I see the devastation in their eyes, and I can't deny that this is happening. As much as I want to investigate and promote contemplative practices and contribute to the well-being of humanity through that, I feel a deeper commitment to what's actually true."

Historically, U.S. officials, often encouraged by public opinion, have wanted Cherokees to adopt U.S. legal and cultural practices. When not attempting to terminate the tribe, U.S. officials have sided with freedmen whenever tribal citizenship disputes reach U.S. courts. U.S. politicians have also repeatedly threatened to withhold federal money should the Cherokee Nation not grant freedmen citizenship.

Colonists, later U.S. citizens, wanted to acquire Cherokee land and to make Cherokees more like whites in terms of their religious, government and economic practices. That meant that Cherokees would have to abandon their practice of holding land communally, which made land difficult for U.S. settlers to acquire because they could not deal with individuals.

After the war, the U.S. forced the Cherokee Nation to sign the Treaty of 1866. The tribe’s 1839 Constitution, affirming previous laws, had stated that Cherokee citizens must be descended from Cherokees, not their Black slaves. But in this peace treaty, Cherokees agreed to make their former slaves full tribal citizens.

It can occur when a physician refuses to consider alternative diagnoses once an initial diagnosis has been established, despite contradicting data, such as lab results. This bias leads physicians to see what they want to see

Anchoring bias is closely related to confirmation bias and comes into play when interpreting evidence. It refers to physicians’ practices of prioritizing information and data that support their initial impressions, even when first impressions are wrong

When physicians move from deliberation to action, they are sometimes swayed by emotional reactions rather than rational deliberation about risks and benefits. This is called the affect heuristic, and, while heuristics can often serve as efficient approaches to problem solving, they can sometimes lead to bias

Further down the treatment pathway, outcomes bias can come into play. This bias refers to the practice of believing that good or bad results are always attributable to prior decisions, even when there is no valid reason to do so

The dual-process theory, a cognitive model of reasoning, can be particularly relevant in matters of clinical decision making

This theory is based on the argument that we use 2 different cognitive systems, intuitive and analytical, when reasoning. The former is quick and uses information that is readily available; the latter is slower and more deliberate.