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Intelligence is fundamentally misapprehended when seen as an isolatable entity rather than a complex ideal. So too is teaching ability when measured solely by student test scores.

As the modern world has perfected its ontic measures, our ability to measure ourselves ontologically seems to have diminished. We look away from what we are measuring, and why we are measuring, and fixate on the measuring itself. We are tempted to seek all meaning in ontic measuring

How can we keep an eye on the difference between ontic and ontological measurement, and prevent the one from interfering with the other? One way is to ask ourselves what is missing from our measurements. Are the tests administered by schools making students smarter and more educated, or just making us think we know how to evaluate education?

In our increasingly quantified world, we have to determine precisely where and how our measurements fail to deliver. Now that we have succeeded in defining the kilogram by an absolute universal standard, we still have to remind ourselves of the human purposes that led us to create the kilogram in the first place, and always to make sure that the kilogram is serving us, and not the other way around.

As everyone in business knows, you manage what you measure. So although the replacing-GDP discussion may seem a little airy, its growing credibility in important circles could give it a real impact on economic policy

The story usually begins with Jeremy Bentham, an Englishman who in 1781 outlined a philosophy of utility that assessed the merits of an action according to how much happiness it produced. This was during the Enlightenment, when thinkers sought to replace religion-based rules with rational, scientific guides to decision making and life.

It’s true that the challenges of tracking energy use or pollution aren’t huge. But the politics are extremely tricky. In its early days the Clinton administration pushed the Bureau of Economic Analysis—the agency that measures U.S. GDP—to develop a green GDP

For its original purpose—measuring short-term economic fluctuations—GDP is not likely to be supplanted anytime soon. It may even be gaining ground: A major discussion is under way concerning whether the U.S. Federal Reserve and other central banks should in times of crisis focus not on inflation but on GDP growth.

Compiling GDP involves making a lot of choices, and even reasonable choices can lead to skewed results. Statisticians understandably favor goods and services that are bought and sold—and thus easily valued by market price—over economic activities whose value must be estimated

Developing nations with lots of foreign direct investment saw GDP grow much faster than GNP would have—but didn’t necessarily reap the benefits, because the investments’ profits went mostly to multinational corporations.

Economists, the most enthusiastic adopters of the concept, came to focus instead on the tangible expression of people’s needs and desires: what they were willing to spend money on.

Many things of value in life cannot be fully captured by GDP, but they can be measured by metrics of health, education, political freedom, and the like

The idea that economic and other data can be better presented with a dashboard of indicators than as a single number or ranked list is very much in the air among experts and policy makers.

In Sarkozy’s 2009 report on alternatives to GDP, the word “dashboard” appears 78 times. But the notion of dashboards hasn’t captured the public’s imagination. What has is a word that shows up just 29 times in the Sarkozy report (mostly in the bibliography): “happiness.”

In the 1950s and 1960s psychologists and sociologists reopened the question of whether it could be quantified. Opinion polls, then entering their heyday as measurers (and in some cases determiners) of the public mood, were an obvious vehicle for the attempt.

The economist Richard Easterlin imported the happiness discussion to his discipline with a 1974 paper pointing out that the results of national happiness polls did not correlate all that well with per capita income.

The interest in happiness surveys has also led to critical scrutiny of the Easterlin paradox. After reevaluating decades’ worth of polling data, the economists Betsey Stevenson and Justin Wolfers made headlines in 2008 by refuting the paradox—at least the part that said people in wealthy nations weren’t happier than those in poor nations

They were unable to conclusively debunk the argument that rises in income over time fail to deliver increased happiness, but the evidence they marshaled certainly muddied the waters

Money can’t buy happiness. But it could perhaps buy the ability to measure it.

it makes no sense to compare the federal budget to a family budget, which is what the Consumer Price Index is based on. One needs to use a broader index, like the gross domestic product deflator, which measures price changes throughout the entire economy.

For large numbers, the percentage of the gross domestic product is both the easiest to find and best to use.

Since the “burden” of the debt basically falls on the entire economy, the debt-to-G.D.P. ratio is generally considered the best measure of that burden. It also facilitates international comparisons without having to worry about exchange-rate adjustments.

international price comparisons can be especially tricky because current market exchange rates may not accurately reflect relative values or standards of living. Economists generally prefer to use something called “purchasing power parity,” but such data is not always easy to come by

There is much more to say on this topic. I recommend an essay on the Measuring Worth website that discusses different measures of value over time and how they materially affect our perceptions. There are also new statistical measures coming online that may provide even better data, like the Billion Prices Project from M.I.T., which gathers price data in real time directly from store price scanners.

This is an area where trial and error is the best strategy. The important thing is to make an effort to provide proper context where it appears necessary and not to simply ignore the problem.

In 1972, using duct tape and spare parts in the basement on the campus of the University of California, Berkeley, Dr. Clauser and a graduate student, Stuart Freedman, who died in 2012, endeavored to perform Bell’s experiment to measure quantum entanglement. In a series of experiments, he fired thousands of light particles, or photons, in opposite directions to measure a property known as polarization, which could have only two values — up or down. The result for each detector was always a series of seemingly random ups and downs. But when the two detectors’ results were compared, the ups and downs matched in ways that neither “classical physics” nor Einstein’s laws could explain. Something weird was afoot in the universe. Entanglement seemed to be real.

in 2002, Dr. Clauser admitted that he himself had expected quantum mechanics to be wrong and Einstein to be right. “Obviously, we got the ‘wrong’ result. I had no choice but to report what we saw, you know, ‘Here’s the result.’ But it contradicts what I believed in my gut has to be true.” He added, “I hoped we would overthrow quantum mechanics. Everyone else thought, ‘John, you’re totally nuts.’”

the correlations only showed up after the measurements of the individual particles, when the physicists compared their results after the fact. Entanglement seemed real, but it could not be used to communicate information faster than the speed of light.

In 1982, Dr. Aspect and his team at the University of Paris tried to outfox Dr. Clauser’s loophole by switching the direction along which the photons’ polarizations were measured every 10 nanoseconds, while the photons were already in the air and too fast for them to communicate with each other. He too, was expecting Einstein to be right.

Quantum predictions held true, but there were still more possible loopholes in the Bell experiment that Dr. Clauser had identified

For example, the polarization directions in Dr. Aspect’s experiment had been changed in a regular and thus theoretically predictable fashion that could be sensed by the photons or detectors.

Anton Zeilinger

added even more randomness to the Bell experiment, using random number generators to change the direction of the polarization measurements while the entangled particles were in flight.

Once again, quantum mechanics beat Einstein by an overwhelming margin, closing the “locality” loophole.

as scientists have done more experiments with entangled particles, entanglement is accepted as one of main features of quantum mechanics and is being put to work in cryptology, quantum computing and an upcoming “quantum internet

One of its first successes in cryptology is messages sent using entangled pairs, which can send cryptographic keys in a secure manner — any eavesdropping will destroy the entanglement, alerting the receiver that something is wrong.

, with quantum mechanics, just because we can use it, doesn’t mean our ape brains understand it. The pioneering quantum physicist Niels Bohr once said that anyone who didn’t think quantum mechanics was outrageous hadn’t understood what was being said.

In his interview with A.I.P., Dr. Clauser said, “I confess even to this day that I still don’t understand quantum mechanics, and I’m not even sure I really know how to use it all that well. And a lot of this has to do with the fact that I still don’t understand it.”

The purpose of the surgery was to remove electrodes that had previously been implanted in the patients’ brains to monitor seizures. But before they were taken out, the electrodes enabled the researchers to study the activity of individual neurons in the cortex, in addition to large-scale brain activity from EEG recordings.

importance of communication between discrete groups of neurons, both within the cortex and across brain regions, is analogous to a band playing music, said George Mashour, a neuroscientist and anesthesiologist at the University of Michigan, Ann Arbor. “You need musical information to come together either in time or space to really make sense,”

“Consciousness and cognitive activity may be similar. If different areas of the brain aren’t in synch or if a critical area that normally integrates cognitive activity isn’t functioning, you could be rendered unconscious.”

, Purdon and colleagues were able to discern a more detailed neural signature of loss of unconsciousness, this time by using EEG alone. Monitoring brain activity in healthy patients for 2 hours as they underwent propofol-induced anesthesia, they observed that as responsiveness fades, high-frequency brain waves (12–35 hertz) rippling across the cortex and the thalamus were replaced by two different brain waves superimposed on top on one another: a low-frequency (<1 hertz) wave and an alpha frequency (8–12 hertz) wave. “These two waves pretty much come at loss of consciousness,”

“We’ve started to teach our anesthesiologists how to read this signature on the EEG”

Anesthesia is not the only state in which consciousness is lost, of course

o measure the gradual breakdown of connectivity between neural networks during natural REM sleep and anesthesia, as well as in brain-injured, unresponsive patients. Using an electromagnetic coil to activate neurons in a small patch of the human cortex, then recording EEG output to track the propagation of those signals to other neuronal groups, the researchers can measure the connectivity between collections of neurons in the cortex and other brain regions.

minimally conscious patients, the magnetically stimulated signals propagated fairly far and wide, occasionally reaching distant cortical areas, much like activations seen in locked-in but conscious patients. In patients in a persistent vegetative state, on the other hand, propagation was severely limited—a breakdown of connectivity similar to that observed in previous tests of anesthetized patients. What’s more, in three vegetative patients that later recovered consciousness, the test picked up signs of increased connectivity before clinical signs of improvement became evident.

“I think understanding consciousness itself is going to help us find successful [measurement] approaches that are universally applicable,” said Pearce.

A survey of 43 countries, published on October 30th, found that people in emerging markets are within a whisker of expressing the same level of satisfaction with their lives as people in rich countries.

While Scrooge found it easy to count his riches, happiness is harder to pin down. People are prone to what philosophers call “adaptive preferences”, meaning that they may fail to report their “true” happiness

If measuring happiness is so difficult, what else could economists look at? Amartya Sen, of Harvard University, argues that “capabilities” are the way to go. The definition of a capability is a bit fuzzy: at its simplest, a capability is something that people have reason to value. The list of potential capabilities is endless: the opportunity to live a long and healthy life, the freedom to take part in political life or to be well nourished.

Capabilities, says Mr Sen, are ends that economists should strive to maximise: income is just one of the many means by which we get there.

That begs the question of which capabilities a society should maximise. Some worry that the capability approach is deeply paternalistic

Ms Nussbaum goes so far as to recommend “ten central capabilities” that are essential for a good life. For economists, who tend to be lovers of freedom, this is controversial stuff.

But the capability approach may be less illiberal than it seems. Insisting that GDP is the true measure of economic progress is itself a value-judgment. What is more, according to Mr Sen and Ms Nussbaum, people must have the freedom to select which capabilities they ultimately pursue.

Measuring capabilities may be even more difficult than measuring GDP or happiness. There are, though, decent proxies. A country with a high life expectancy probably offers its citizens things like good health care and helps to shield them from pollution, which makes it easier for them to live a long, healthy life.

Some measures of economic success use such data. The Human Development Index (HDI), which Mr Sen helped to devise in 1990, considers not only income, but also life expectancy and schooling, as elements of development

the capability approach has spawned so many measures, each more complicated than the last, that GDP starts to look appealing again. What other single number can give a decent approximation of quality of life?

The first installment of the bailout was supposed to be a $118 billion tranche in March, but officials now say it might be limited to about $40 billion to ensure that Greece continues to abide by the terms in coming months.

In the study, the NOAA researchers argue that long-standing problems with the way temperatures are measured have masked years of sea surface warming. Once those problems are corrected for, “this hiatus or slowdown simply vanishes,” said lead study author Thomas Karl, director of NOAA's National Climatic Data Center in Asheville, N.C.

Although researchers have long known that sea surface temperatures measured by autonomous buoys run cooler than temperatures measured by ships, they have failed to account for this as they expanded their use of buoy readings over the last two decades, the study authors argued.

“The buckets, when you pull them up, tend to evaporate their water, and if they're canvas there's even more evaporation,” Karl said. “By the time people stick a thermistor in the bucket to measure temperature, it's already slightly cool.”

“If you start a short-time series on an anomalous value, you tend to get an anomalous trend,” Karl said.

A growing number of climate scientists have argued that this phenomenon, as well as other hiatus effects, are evidence of a poorly understood pattern of wind, ocean current and temperature variations that have far-reaching effects on global climate. They say the oceans have absorbed heat energy from the sun, causing Arctic ice to melt and sea levels to rise.

“One way to think about it is that global warming continued, but the oceans just juggled a bit of heat around and made the surface seem cooler for a while,” said Joshua Willis, another climate scientist at JPL.

“All of those factors are real,” Karl said. “If those factors had not occurred, the warming rate would have been even greater. … If anything we may still be underestimating the trend.” 

Mr. Trachtenberg understood the centrality of the university as a physical place. New structures were a visceral sign of progress. They told visitors, donors and civic leaders that the institution was, like beams and scaffolding rising from the earth, ascending. He added new programs, recruited more students, and followed the dictate of constant expansion.

the American research university had evolved into a complicated and somewhat peculiar organization. It was built to be all things to all people: to teach undergraduates, produce knowledge, socialize young men and women, train workers for jobs, anchor local economies, even put on weekend sports events. And excellence was defined by similarity to old, elite institutions. Universities were judged by the quality of their scholars, the size of their endowments, the beauty of their buildings and the test scores of their incoming students.

John Silber embarked on a huge building campaign while bringing luminaries like Saul Bellow and Elie Wiesel on board to teach and lend their prestige to the B.U. name, creating a bigger, more famous and much more costly institution. He had helped write a game plan for the aspiring college president.

GWU is, for all intents and purposes, a for-profit organization. Best example: study abroad. Their top program, a partnering with Sciences Po, costs each student (30 of them, on a program with 'prestige' status?) a full semester's tuition. It costs GW, according to Sciences Po website, €1000. A neat $20,000 profit per student (who is in digging her/himself deeper and deeper in debt.) Moreover, the school takes a $500 admin fee for the study abroad application! With no guarantee that all credits transfer. Students often lose a partial semester, GW profits again. Nor does GW offer help with an antiquated, one-shot/no transfers, tricky registration process. It's tough luck in gay Paris.Just one of many examples. Dorms with extreme mold, off-campus housing impossible for freshmen and sophomores. Required meal plan: Chick-o-Filet etc. Classes with over 300 students (required).This is not Harvard, but costs same.Emotional problems? Counselors too few. Suicides continue and are not appropriately addressed. Caring environment? Extension so and so, please hold.It's an impressive campus, I'm an alum. If you apply, make sure the DC experience is worth the price: good are internships, a few colleges like Elliot School, post-grad.GWU uses undergrad $$ directly for building projects, like the medical center to which students have NO access. (Student health facility is underfunded, outsourced.)Outstanding professors still make a difference. But is that enough?

Mr. Trachtenberg, however, understood something crucial about the modern university. It had come to inhabit a market for luxury goods. People don’t buy Gucci bags merely for their beauty and functionality. They buy them because other people will know they can afford the price of purchase. The great virtue of a luxury good, from the manufacturer’s standpoint, isn’t just that people will pay extra money for the feeling associated with a name brand. It’s that the high price is, in and of itself, a crucial part of what people are buying.

Mr. Trachtenberg convinced people that George Washington was worth a lot more money by charging a lot more money. Unlike most college presidents, he was surprisingly candid about his strategy. College is like vodka, he liked to explain.

The Absolut Rolex plan worked. The number of applicants surged from some 6,000 to 20,000, the average SAT score of students rose by nearly 200 points, and the endowment jumped from $200 million to almost $1 billion.

The university became a magnet for the children of new money who didn’t quite have the SATs or family connections required for admission to Stanford or Yale. It also aggressively recruited international students, rich families from Asia and the Middle East who believed, as nearly everyone did, that American universities were the best in the world.

U.S. News & World Report now ranks the university at No. 54 nationwide, just outside the “first tier.”

The watch and vodka analogies are correct. Personally, I used car analogies when discussing college choices with my kids. We were in the fortunate position of being able to comfortably send our kids to any college in the country and have them leave debt free. Notwithstanding, I told them that they would be going to a state school unless they were able to get into one of about 40 schools that I felt, in whatever arbitrary manner I decided, that was worth the extra cost. They both ended up going to state schools.College is by and large a commodity and you get out of it what you put into it. Both of my kids worked hard in college and were involved in school life. They both left the schools better people and the schools better schools for them being there. They are both now successful adults.I believe too many people look for the prestige of a named school and that is not what college should be primarily about.

In 2013, only 14 percent of the university’s 10,000 undergraduates received a grant — a figure on a par with elite schools but far below the national average. The average undergraduate borrower leaves with about $30,800 in debt.

When I talk to the best high school students in my state I always stress the benefits of the honors college experience at an affordable public university. For students who won't qualify for a public honors college. the regular pubic university experience is far preferable to the huge debt of places like GW.

Carey would do well to look beyond high ticket private universities (which after all are still private enterprises) and what he describes as the Olympian heights of higher education (which for some reason seems also to embitter him) and look at the system overall . The withdrawal of public support was never a policy choice; it was a political choice, "packaged and branded" as some tax cutting palaver all wrapped up in the argument that a free-market should decide how much college should cost and how many seats we need. In such an environment, trustees at private universities are no more solely responsible for turning their degrees into commodities than the administrations of state universities are for raising the number of out-of-state students in order to offset the loss of support from their legislatures. No doubt, we will hear more about market based solutions and technology from Mr. Carey

I went to GW back in the 60s. It was affordable and it got me away from home in New York. While I was there, Newsweek famously published a article about the DC Universities - GW, Georgetown, American and Catholic - dubbing them the Pony league, the schools for the children of wealthy middle class New Yorkers who couldn't get into the Ivy League. Nobody really complained. But that wasn't me. I went because I wanted to be where the action was in the 60s, and as we used to say - "GW was literally a stone's throw from the White House. And we could prove it." Back then, the two biggest alumni names were Jackie Kennedy, who's taken some classes there, and J. Edgar Hoover. Now, according to the glossy magazine they send me each month, it's the actress Kerry Washington. There's some sort of progress there, but I'm a GW alum and not properly trained to understand it.

This explains a lot of the modern, emerging mentality. It encompasses the culture of enforced grade inflation, cheating and anti-intellectualism in much of higher education. It is consistent with our culture of misleading statistics and information, cronyism and fake quality, the "best and the brightest" being only schemers and glad handers. The wisdom and creativity engendered by an honest, rigorous academic education are replaced by the disingenuous quick fix, the winner-take-all mentality that neglects the common good.

I attended nearby Georgetown University and graduated in 1985. Relative to state schools and elite schools, it was expensive then. I took out loans. I had Pell grants. I had work-study and GSL. I paid my debt of $15,000 off in ten years. Would I have done it differently? Yes: I would have continued on to graduate school and not worried about paying off those big loans right after college. My career work out and I am grateful for the education I received and paid for. But I would not recommend to my nieces and nephews debts north of $100,000 for a BA in liberal arts. Go community. Then go state. Then punch your ticket to Harvard, Yale or Stanford — if you are good enough.

American universities appear to have more and more drifted away from educating individuals and citizens to becoming high priced trade schools and purveyors of occupational licenses. Lost in the process is the concept of expanding a student's ability to appreciate broadly and deeply, as well as the belief that a republican democracy needs an educated citizenry, not a trained citizenry, to function well.Both the Heisman Trophy winner and the producer of a successful tech I.P.O. likely have much in common, a college education whose rewards are limited to the financial. I don't know if I find this more sad on the individual level or more worrisome for the future of America.

This is now a consumer world for everything, including institutions once thought to float above the Shakespearean briars of the work-a-day world such as higher education, law and medicine. Students get this. Parents get this. Everything is negotiable: financial aid, a spot in the nicest dorm, tix to the big game. But through all this, there are faculty - lots of 'em - who work away from the fluff to link the ambitions of the students with the reality and rigor of the 21st century. The job of the student is to get beyond the visible hype of the surroundings and find those faculty members. They will make sure your investment is worth it

My experience in managing or working with GW alumni in their 20's or 30's has not been good. Virtually all have been mentally lazy and/or had a stunning sense of entitlement. Basically they've been all talk and no results. That's been quite a contrast to the graduates from VA/MD state universities.

More and more, I notice what my debt-financed contributions to the revenue streams of my vendors earn them, not me. My banks earned enough to pay ridiculous bonuses to employees for reckless risk-taking. My satellite tv operator earned enough to overpay ESPN for sports programming that I never watch--and that, in turn, overpays these idiotic pro athletes and college sports administrators. My health insurer earned enough to defeat one-payor insurance; to enable the opaque, inefficient billing practices of hospitals and other providers; and to feed the behemoth pharmaceutical industry. My church earned enough to buy the silence of sex abuse victims and oppose progressive political candidates. And my govt earned enough to continue ag subsidies, inefficient defense spending, and obsolete transportation and energy policies.

as the parent of GWU freshman I am grateful for every opportunity afforded her. She has a generous merit scholarship, is in the honors program with some small classes, and has access to internships that can be done while at school. GWU also gave her AP credits to advance her to sophomore status. Had she attended the state flagship school (where she was accepted into that exclusive honors program) she would have a great education but little else. It's not possible to do foreign affairs related internship far from D.C. or Manhattan. She went to a very competitive high school where for the one or two ivy league schools in which she was interested, she didn't have the same level of connections or wealth as many of her peers. Whether because of the Common Application or other factors, getting into a good school with financial help is difficult for a middle class student like my daughter who had a 4.0 GPA and 2300 on the SAT. She also worked after school.The bottom line - GWU offered more money than perceived "higher tier" universities, and brought tuition to almost that of our state school system. And by the way, I think she is also getting a very good education.

This article reinforces something I have learned during my daughter's college application process. Most students choose a school based on emotion (reputation) and not value. This luxury good analogy holds up.

The entire education problem can be solved by MOOCs lots and lots of them plus a few closely monitored tests and personal interviews with people. Of course many many people make MONEY off of our entirely inefficient way of "educating" -- are we even really doing that -- getting a degree does NOT mean one is actually educated

As a first-generation college graduate I entered GW ambitious but left saddled with debt, and crestfallen at the hard-hitting realization that my four undergraduate years were an aberration from what life is actually like post-college: not as simple as getting an [unpaid] internship with a fancy titled institution, as most Colonials do. I knew how to get in to college, but what do you do after the recess of life ends?I learned more about networking, resume plumping (designated responses to constituents...errr....replied to emails), and elevator pitches than actual theory, economic principles, strong writing skills, critical thinking, analysis, and philosophy. While relatively easy to get a job after graduating (for many with a GW degree this is sadly not the case) sustaining one and excelling in it is much harder. It's never enough just to be able to open a new door, you also need to be prepared to navigate your way through that next opportunity.

this is a very telling article. Aimless and directionless high school graduates are matched only by aimless and directionless institutes of higher learning. Each child and each parent should start with a goal - before handing over their hard earned tuition dollars, and/or leaving a trail of broken debt in the aftermath of a substandard, unfocused education.

it is no longer the most expensive university in America. It is the 46th.Others have been implementing the Absolut Rolex Plan. John Sexton turned New York University into a global higher-education player by selling the dream of downtown living to students raised on “Sex and the City.” Northeastern followed Boston University up the ladder. Under Steven B. Sample, the University of Southern California became a U.S. News top-25 university. Washington University in St. Louis did the same.

I currently attend GW, and I have to say, this article completely misrepresents the situation. I have yet to meet a single person who is paying the full $60k tuition - I myself am paying $30k, because the school gave me $30k in grants. As for the quality of education, Foreign Policy rated GW the #8 best school in the world for undergraduate education in international affairs, Princeton Review ranks it as one of the best schools for political science, and U.S. News ranks the law school #20. The author also ignores the role that an expanding research profile plays in growing a university's prestige and educational power.

And in hundreds of regional universities and community colleges, presidents and deans and department chairmen have watched this spectacle of ascension and said to themselves, “That could be me.” Agricultural schools and technical institutes are lobbying state legislatures for tuition increases and Ph.D. programs, fitness centers and arenas for sport. Presidents and boards are drawing up plans to raise tuition, recruit “better” students and add academic programs. They all want to go in one direction — up! — and they are all moving with a single vision of what they want to be.

this is the same playbook used by hospitals the past 30 years or so. It is how Hackensack Hospital became Hackensack Medical Center and McComb Hospital became Southwest Mississippi Regional Medical Center. No wonder the results have been the same in healthcare and higher education; both have priced themselves out of reach for average Americans.

a world where a college is rated not by the quality of its output, but instaed, by the quality of its inputs. A world where there is practically no work to be done by the administration because the college's reputation is made before the first class even begins! This is isanity! But this is the swill that the mammoth college marketing departments nationwide have shoved down America's throat. Colleges are ranked not by the quality of their graduates, but rather, by the test scores of their incoming students!

The Pew Foundation has been doing surveys on what students learn, how much homework they do, how much time they spend with professors etc. All good stuff to know before a student chooses a school. It is called the National Survey of Student Engagement (NSSE - called Nessy). It turns out that the higher ranked schools do NOT allow their information to be released to the public. It is SECRET.Why do you think that is?

The article blames "the standard university organizational model left teaching responsibilities to autonomous academic departments and individual faculty members, each of which taught and tested in its own way." This is the view of someone who has never taught at a university, nor thought much about how education there actually happens. Once undergraduates get beyond the general requirements, their educations _have_ to depend on "autonomous departments" because it's only those departments know what the requirements for given degree can be, and can grant the necessary accreditation of a given student. The idea that some administrator could know what's necessary for degrees in everything from engineering to fiction writing is nonsense, except that's what the people who only know the theory of education (but not its practice) actually seem to think. In the classroom itself, you have tremendously talented people, who nevertheless have their own particular strengths and approaches. Don't you think it's a good idea to let them do what they do best rather than trying to make everyone teach the same way? Don't you think supervision of young teachers by older colleagues, who actually know their field and its pedagogy, rather than some administrator, who knows nothing of the subject, is a good idea?

it makes me very sad to see how expensive some public schools have become. Used to be you could work your way through a public school without loans, but not any more. Like you, I had the advantage of a largely-scholarship paid undergraduate education at a top private college. However, I was also offered a virtually free spot in my state university's (then new) honors college

My daughter attended a good community college for a couple of classes during her senior year of high school and I could immediately see how such places are laboratories for failure. They seem like high schools in atmosphere and appearance. Students rush in by car and rush out again when the class is over.The four year residency college creates a completely different feel. On arrival, you get the sense that you are engaging in something important, something apart and one that will require your full attention. I don't say this is for everyone or that the model is not flawed in some ways (students actually only spend 2 1/2 yrs. on campus to get the four yr. degree). College is supposed to be a 60 hour per week job. Anything less than that and the student is seeking himself or herself

This. Is. STUNNING. I have always wondered, especially as my kids have approached college age, why American colleges have felt justified in raising tuition at a rate that has well exceeded inflation, year after year after year. (Nobody needs a dorm with luxury suites and a lazy river pool at college!) And as it turns out, they did it to become luxury brands. Just that simple. Incredible.I don't even blame this guy at GWU for doing what he did. He wasn't made responsible for all of American higher ed. But I do think we all need to realize what happened, and why. This is front page stuff.

I agree with you, but, unfortunately, given the choice between low tuition, primitive dorms, and no athletic center VS expensive & luxurious, the customers (and their parents) are choosing the latter. As long as this is the case, there is little incentive to provide bare-bones and cheap education.

Wesleyan University in CT is one school that is moving down the rankings. Syracuse University is another. Reed College is a third. Why? Because these schools try hard to stay out of the marketing game. (With its new president, Syracuse has jumped back into the game.) Bryn Mawr College, outside Philadelphia hasn't fared well over the past few decades in the rankings, which is true of practically every women's college. Wellesley is by far the highest ranked women's college, but even there the acceptance rate is significantly higher than one finds at comparable coed liberal arts colleges like Amherst & Williams. University of Chicago is another fascinating case for Mr. Carey to study (I'm sure he does in his forthcoming book, which I look forward to reading). Although it has always enjoyed an illustrious academic reputation, until recently Chicago's undergraduate reputation paled in comparison to peer institutions on the two coasts. A few years ago, Chicago changed its game plan to more closely resemble Harvard and Stanford in undergraduate amenities, and lo and behold, its rankings shot up. It was a very cynical move on the president's part to reassemble the football team, but it was a shrewd move because athletics draw more money than academics ever can (except at engineering schools like Cal Tech & MIT), and more money draws richer students from fancier secondary schools with higher test scores, which lead to higher rankings - and the beat goes on.

College INDUSTRY is out of control. Sorry, NYU, GW, BU are not worth the price. Are state schools any better? We have the University of Michigan, which is really not a state school, but a university that gives a discount to people who live in Michigan. Why? When you have an undergraduate body 40+% out-of-state that pays tuition of over $50K/year, you tell me?Perhaps the solution is two years of community college followed by two at places like U of M or Michigan State - get the same diploma at the end for much less and beat the system.

In one recent yr., the majority of undergrad professors at Harvard, according to Boston.com, where adjuncts. That means low pay, no benefits, no office, temp workers. Harvard.Easily available student loans fueled this arms race of amenities and frills that in which colleges now engage. They moved the cost of education onto the backs of people, kids, who don't understand what they are doing.Students in colleges these days are customers and the customers must be able to get through. If it requires dumbing things down, so be it. On top of tuition, G.W. U. is known by its students as the land of added fees on top of added fees. The joke around campus was that they would soon be installing pay toilets in the student union. No one was laughing.

You could written the same story about my alma mater, American University. The place reeked of ambition and upward mobility decades ago and still does. Whoever's running it now must look at its measly half-billion-dollar endowment and compare it to GWU's $1.5 billion and seethe with envy, while GWU's president sets his sights on an Ivy League-size endowment. And both get back to their real jobs: 24/7 fundraising,Which is what university presidents are all about these days. Money - including million-dollar salaries for themselves (GWU's president made more than Harvard's in 2011) - pride, cachet, power, a mansion, first-class all the way. They should just be honest about it and change their university's motto to Ostende mihi pecuniam! (please excuse my questionable Latin)Whether the students are actually learning anything is up to them, I guess - if they do, it's thanks to the professors, adjuncts and the administrative staff, who do the actual work of educating and keep the school running.

When I was in HS (70s), many of my richer friends went to GW and I was then of the impression that GW was a 'good' school. As I age, I have come to realize that this place is just another façade to the emptiness that has become America. All too often are we faced with a dilemma: damned if we do, damned if we don't. Yep, 'education' has become a trap for all too many of our citizen.

I transferred to GWU from a state school. I am forever grateful that I did. I wanted to get a good rigorous education and go to one of the best International Affairs schools in the world. Even though the state school I went to was dirt-cheap, the education and the faculty was awful. I transferred to GW and was amazed at the professors at that university. An ambassador or a prominent IA scholar taught every class. GW is an expensive school, but that is the free market. If you want a good education you need to be willing to pay for it or join the military. I did the latter and my school was completely free with no debt and I received an amazing education. If young people aren't willing to make some sort of sacrifice to get ahead or just expect everything to be given to then our country is in a sad state.We need to stop blaming universities like GWU that strive to attract better students, better professors, and better infrastructure. They are doing what is expected in America, to better oneself.

"Whether the students are actually learning anything is up to them, I guess." How could it possibly be otherwise??? I am glad that you are willing to give credit to teachers and administrators, but it is not they who "do the actual work of educating." From this fallacy comes its corollary, that we should blame teachers first for "under-performing schools". This long-running show of scapegoating may suit the wallets and vanity of American parents, but it is utterly senseless. When, if ever, American culture stops reeking of arrogance, greed and anti-intellectualism, things may improve, and we may resume the habit of bothering to learn. Until then, nothing doing.

Universities sell knowledge and grade students on how much they have learned. Fundamentally, there is conflict of interest in thsi setup. Moreover, students who are poorly educated, even if they know this, will not criticize their school, because doing so would make it harder for them to have a career. As such, many problems with higher education remain unexposed to the public.

I've lectured and taught in at least five different countries in three continents and the shortest perusal of what goes on abroad would totally undermine most of these speculations. For one thing American universities are unique in their dedication to a broad based liberal arts type education. In France, Italy or Germany, for example, you select a major like mathematics or physics and then in your four years you will not take even one course in another subject. The amount of work that you do that is critically evaluated by an instructor is a tiny fraction of what is done in an American University. While half educated critics based on profoundly incomplete research write criticism like this Universities in Germany Italy, the Netherlands, South Korea and Japan as well as France have appointed committees and made studies to explain why the American system of higher education so drastically outperforms their own system. Elsewhere students do get a rather nice dose of general education but it ends in secondary school and it has the narrowness and formulaic quality that we would just normally associate with that. The character who wrote this article probably never set foot on a "campus" of the University of Paris or Rome

The university is part of a complex economic system and it is responding to the demands of that system. For example, students and parents choose universities that have beautiful campuses and buildings. So universities build beautiful campuses. State support of universities has greatly declined, and this decline in funding is the greatest cause of increased tuition. Therefore universities must compete for dollars and must build to attract students and parents. Also, universities are not ranked based on how they educate students -- that's difficult to measure so it is not measured. Instead universities are ranked on research publications. So while universities certainly put much effort into teaching, research has to have a priority in order for the university to survive. Also universities do not force students and parents to attend high price institutions. Reasonably priced state institutions and community colleges are available to every student. Community colleges have an advantage because they are funded by property taxes. Finally learning requires good teaching, but it also requires students that come to the university funded, prepared, and engaged. This often does not happen. Conclusion- universities have to participate in profile raising actions in order to survive. The day that funding is provided for college, ranking is based on education, and students choose campuses with simple buildings, then things will change at the university.

This is the inevitable result of privatizing higher education. In the not-so-distant past, we paid for great state universities through our taxes, not tuition. Then, the states shifted funding to prisons and the Federal government radically cut research support and the GI bill. Instead, today we expect universities to support themselves through tuition, and to the extent that we offered students support, it is through non-dischargeable loans. To make matters worse, the interest rates on those loans are far above the government's cost of funds -- so in effect the loans are an excise tax on education (most of which is used to support a handful of for-profit institutions that account for the most student defaults). This "consumer sovereignty" privatized model of funding education works no better than privatizing California's electrical system did in the era of Enron, or our privatized funding of medical service, or our increasingly privatized prison system: it drives up costs at the same time that it replace quality with marketing.

There are data in some instances on student learning, but the deeper problem, as I suspect the author already knows, is that there is nothing like a consensus on how to measure that learning, or even on when is the proper end point to emphasize (a lot of what I teach -- I know this from what students have told me -- tends to come into sharp focus years after graduation).

Michael (Baltimore) has hit the nail on the head. Universities are increasingly corporatized institutions in the credentialing business. Knowledge, for those few who care about it (often not those paying for the credentials) is available freely because there's no profit in it. Like many corporate entities, it is increasingly run by increasingly highly paid administrators, not faculty.

GWU has not defined itself in any unique way, it has merely embraced the bland, but very expensive, accoutrements of American private education: luxury dorms, food courts, spa-like gyms, endless extracurricular activities, etc. But the real culprit for this bloat that students have to bear financially is the college ranking system by US News, Princeton Review, etc. An ultimately meaningless exercise in competition that has nevertheless pushed colleges and universities to be more like one another. A sad state of affairs, and an extremely expensive one for students

It is long past time to realize the failure of the Reagonomics-neoliberal private profits over public good program. In education, we need to return to public institutions publicly funded. Just as we need to recognize that Medicare, Social Security, the post office, public utilities, fire departments, interstate highway system, Veterans Administration hospitals and the GI bill are models to be improved and expanded, not destroyed.

George Washington is actually not a Rolex watch, it is a counterfeit Rolex. The real Rolexes of higher education -- places like Hopkins, Georgetown, Duke, the Ivies etc. -- have real endowments and real financial aid. No middle class kid is required to borrow $100,000 to get a degree from those schools, because they offer generous need-based financial aid in the form of grants, not loans. The tuition at the real Rolexes is really a sticker price that only the wealthy pay -- everybody else on a sliding scale. For middle class kids who are fortunate enough to get in, Penn actually ends up costing considerably less than a state university.The fake Rolexes -- BU, NYU, Drexel in Philadelphia -- don't have the sliding scale. They bury middle class students in debt.And really, though it is foolish to borrow $100,000 or $120,000 for an undergraduate degree, I don't find the transaction morally wrong. What is morally wrong is our federal government making that loan non-dischargeable in bankruptcy, so many if these kids will be having their wages garnished for the REST OF THEIR LIVES.There is a very simple solution to this, by the way. Cap the amount of non-dischargeable student loan debt at, say, $50,000

The slant of this article is critical of the growth of research universities. Couldn't disagree more. Modern research universities create are incredibly engines of economic opportunity not only for the students (who pay the bills) but also for the community via the creation of blue and white collar jobs. Large research university employ tens of thousands of locals from custodial and food service workers right up to high level administrators and specialist in finance, computer services, buildings and facilities management, etc. Johns Hopkins University and the University of Maryland system employ more people than any other industry in Maryland -- including the government. Research universities typically have hospitals providing cutting-edge medical care to the community. Local business (from cafes to property rental companies) benefit from a built-in, long-term client base as well as an educated workforce. And of course they are the foundry of new knowledge which is critical for the future growth of our country.Check out the work of famed economist Dr. Julia Lane on modeling the economic value of the research university. In a nutshell, there are few better investments America can make in herself than research universities. We are the envy of the world in that regard -- and with good reason. How many *industries* (let alone jobs) have Stanford University alone catalyzed?

What universities have the monopoly on is the credential. Anyone can learn, from books, from free lectures on the internet, from this newspaper, etc. But only universities can endow you with the cherished degree. For some reason, people are will to pay more for one of these pieces of paper with a certain name on it -- Ivy League, Stanford, even GW -- than another -- Generic State U -- though there is no evidence one is actually worth more in the marketplace of reality than the other. But, by the laws of economics, these places are actually underpriced: after all, something like 20 times more people are trying to buy a Harvard education than are allowed to purchase one. Usually that means you raise your price.

Overalll a good article, except for - "This comes on the heels of Richard Arum and Josipa Roksa’s “Academically Adrift,” a study that found “limited or no learning” among many college students." The measure of learning you report was a general thinking skills exam. That's not a good measure of college gains. Most psychologists and cognitive scientists worth their salt would tell you that improvement in critical thinking skills is going to be limited to specific areas. In other words, learning critical thinking skills in math will make little change in critical thinking about political science or biology. Thus we should not expect huge improvements in general critical thinking skills, but rather improvements in a student's major and other areas of focus, such as a minor. Although who has time for a minor when it is universally acknowledged that the purpose of a university is to please and profit an employer or, if one is lucky, an investor. Finally, improved critical thinking skills are not the end all and be all of a college education even given this profit centered perspective. Learning and mastering the cumulative knowledge of past generations is arguably the most important thing to be gained, and most universities still tend to excel at that even with the increasing mandate to run education like a business and cultivate and cull the college "consumer".

As for community colleges, there was an article in the Times several years ago that said it much better than I could have said it myself: community colleges are places where dreams are put on hold. Without making the full commitment to study, without leaving the home environment, many, if not most, community college students are caught betwixt and between, trying to balance work responsibilities, caring for a young child or baby and attending classes. For males, the classic "end of the road" in community college is to get a car, a job and a girlfriend, one who is not in college, and that is the end of the dream. Some can make it, but most cannot.

as a scientist I disagree with the claim that undergrad tuition subsidizes basic research. Nearly all lab equipment and research personnel (grad students, technicians, anyone with the title "research scientist" or similar) on campus is paid for through federal grants. Professors often spend all their time outside teaching and administration writing grant proposals, as the limited federal grant funds mean ~%85 of proposals must be rejected. What is more, out of each successful grant the university levies a "tax", called "overhead", of 30-40%, nominally to pay for basic operations (utilities, office space, administrators). So in fact one might say research helps fund the university rather than the other way around. Flag

It's certainly overrated as a research and graduate level university. Whether it is good for getting an undergraduate education is unclear, but a big part of the appeal is getting to live in D.C..while attending college instead of living in some small college town in the corn fields.

There are two problems. One is that quantum mechanics, as it is enshrined in textbooks, seems to require separate rules for how quantum objects behave when we’re not looking at them, and how they behave when they are being observed

Why are observations special? What counts as an “observation,” anyway? When exactly does it happen? Does it need to be performed by a person? Is consciousness somehow involved in the basic rules of reality?

Together these questions are known as the “measurement problem” of quantum theory.

The other problem is that we don’t agree on what it is that quantum theory actually describes, even when we’re not performing measurements.

We describe a quantum object such as an electron in terms of a “wave function,” which collects the superposition of all the possible measurement outcomes into a single mathematical object

But what is the wave function? Is it a complete and comprehensive representation of the world? Or do we need additional physical quantities to fully capture reality, as Albert Einstein and others suspected? Or does the wave function have no direct connection with reality at all, merely characterizing our personal ignorance about what we will eventually measure in our experiments?

For years, the leading journal in physics had an explicit policy that papers on the foundations of quantum mechanics were to be rejected out of hand

According to classical (i.e. Newtonian) particle theory, the results of the experiment should have corresponded to the slits, the impacts on the screen appearing in two vertical lines. Instead, the results showed that the coherent beams of light were interfering, creating a pattern of bright and dark bands on the screen. This contradicted classical particle theory, in which particles do not interfere with each other, but merely collide.

The only possible explanation for this pattern of interference was that the light beams were in fact behaving as waves

By the late 19th century, James Clerk Maxwell proposed that light was an electromagnetic wave, and devised several equations (known as Maxwell’s equations) to describe how electric and magnetic fields are generated and altered by each other and by charges and currents. By conducting measurements of different types of radiation (magnetic fields, ultraviolet and infrared radiation), he was able to calculate the speed of light in a vacuum (represented as c).

For one, it introduced the idea that major changes occur when things move close the speed of light, including the time-space frame of a moving body appearing to slow down and contract in the direction of motion when measured in the frame of the observer. After centuries of increasingly precise measurements, the speed of light was determined to be 299,792,458 m/s in 1975

According to his theory, wave function also evolves according to a differential equation (aka. the Schrödinger equation). For particles with mass, this equation has solutions; but for particles with no mass, no solution existed. Further experiments involving the Double-Slit Experiment confirmed the dual nature of photons. where measuring devices were incorporated to observe the photons as they passed through the slits.

For instance, its interaction with gravity (along with weak and strong nuclear forces) remains a mystery. Unlocking this, and thus discovering a Theory of Everything (ToE) is something astronomers and physicists look forward to. Someday, we just might have it all figured out!

Gelfand and Harrington predicted that “‘tight’ states would exhibit a higher incidence of natural disasters, greater environmental vulnerability, fewer natural resources, greater incidence of disease and higher mortality rates, higher population density, and greater degrees of external threat.”

The South dominated the tight states: Mississippi, Alabama Arkansas, Oklahoma, Tennessee, Texas, Louisiana, Kentucky, South Carolina and North Carolina

states in New England and on the West Coast were the loosest: California, Oregon, Washington, Maine, Massachusetts, Connecticut, New Hampshire and Vermont.

Cultural differences, Gelfand continued, “have a certain logic — a rationale that makes good sense,” noting that “cultures that have threats need rules to coordinate to survive (think about how incredibly coordinated Japan is in response to natural disasters).

“Rule Makers, Rule Breakers: How Tight and Loose Cultures Wire the World” in 2018, in which she described the results of a 2016 pre-election survey she and two colleagues had commissioned

The results were telling: People who felt the country was facing greater threats desired greater tightness. This desire, in turn, correctly predicted their support for Trump. In fact, desired tightness predicted support for Trump far better than other measures. For example, a desire for tightness predicted a vote for Trump with 44 times more accuracy than other popular measures of authoritarianism.

The 2016 election, Gelfand continued, “turned largely on primal cultural reflexes — ones that had been conditioned not only by cultural forces, but by a candidate who was able to exploit them.”

Gelfand said:Some groups have much stronger norms than others; they’re tight. Others have much weaker norms; they’re loose. Of course, all cultures have areas in which they are tight and loose — but cultures vary in the degree to which they emphasize norms and compliance with them.

In both 2016 and 2020, Donald Trump carried all 10 of the top “tight” states; Hillary Clinton and Joe Biden carried all 10 of the top “loose” states.

The tight-loose concept, Gelfand argued,is an important framework to understand the rise of President Donald Trump and other leaders in Poland, Hungary, Italy, and France,

cultures that don’t have a lot of threat can afford to be more permissive and loose.”

The gist is this: when people perceive threat — whether real or imagined, they want strong rules and autocratic leaders to help them survive

My research has found that within minutes of exposing study participants to false information about terrorist incidents, overpopulation, pathogen outbreaks and natural disasters, their minds tightened. They wanted stronger rules and punishments.

Gelfand writes that tightness encourages conscientiousness, social order and self-control on the plus side, along with close-mindedness, conventional thinking and cultural inertia on the minus side.

Looseness, Gelfand posits, fosters tolerance, creativity and adaptability, along with such liabilities as social disorder, a lack of coordination and impulsive behavior.

If liberalism and conservatism have historically played a complementary role, each checking the other to constrain extremism, why are the left and right so destructively hostile to each other now, and why is the contemporary political system so polarized?

Along the same lines, if liberals and conservatives hold differing moral visions, not just about what makes a good government but about what makes a good life, what turned the relationship between left and right from competitive to mutually destructive?

As a set, Niemi wrote, conservative binding values encompassthe values oriented around group preservation, are associated with judgments, decisions, and interpersonal orientations that sacrifice the welfare of individuals

She cited research thatfound 47 percent of the most extreme conservatives strongly endorsed the view that “The world is becoming a more and more dangerous place,” compared to 19 percent of the most extreme liberals

Conservatives and liberals, Niemi continued,see different things as threats — the nature of the threat and how it happens to stir one’s moral values (and their associated emotions) is a better clue to why liberals and conservatives react differently.

Unlike liberals, conservatives strongly endorse the binding moral values aimed at protecting groups and relationships. They judge transgressions involving personal and national betrayal, disobedience to authority, and disgusting or impure acts such as sexually or spiritually unchaste behavior as morally relevant and wrong.

Underlying these differences are competing sets of liberal and conservative moral priorities, with liberals placing more stress than conservatives on caring, kindness, fairness and rights — known among scholars as “individualizing values

conservatives focus more on loyalty, hierarchy, deference to authority, sanctity and a higher standard of disgust, known as “binding values.”

Niemi contended that sensitivity to various types of threat is a key factor in driving differences between the far left and far right.

For example, binding values are associated with Machiavellianism (e.g., status-seeking and lying, getting ahead by any means, 2013); victim derogation, blame, and beliefs that victims were causal contributors for a variety of harmful acts (2016, 2020); and a tendency to excuse transgressions of ingroup members with attributions to the situation rather than the person (2023).

Niemi cited a paper she and Liane Young, a professor of psychology at Boston College, published in 2016, “When and Why We See Victims as Responsible: The Impact of Ideology on Attitudes Toward Victims,” which tested responses of men and women to descriptions of crimes including sexual assaults and robberies.

We measured moral values associated with unconditionally prohibiting harm (“individualizing values”) versus moral values associated with prohibiting behavior that destabilizes groups and relationships (“binding values”: loyalty, obedience to authority, and purity)

Increased endorsement of binding values predicted increased ratings of victims as contaminated, increased blame and responsibility attributed to victims, increased perceptions of victims’ (versus perpetrators’) behaviors as contributing to the outcome, and decreased focus on perpetrators.

A central explanation typically offered for the current situation in American politics is that partisanship and political ideology have developed into strong social identities where the mass public is increasingly sorted — along social, partisan, and ideological lines.

What happened to people ecologically affected social-political developments, including the content of the rules people made and how they enforced them

Just as ecological factors differing from region to region over the globe produced different cultural values, ecological factors differed throughout the U.S. historically and today, producing our regional and state-level dimensions of culture and political patterns.

Joshua Hartshorne, who is also a professor of psychology at Boston College, took issue with the binding versus individualizing values theory as an explanation for the tendency of conservatives to blame victims:

I would guess that the reason conservatives are more likely to blame the victim has less to do with binding values and more to do with the just-world bias (the belief that good things happen to good people and bad things happen to bad people, therefore if a bad thing happened to you, you must be a bad person).

Belief in a just world, Hartshorne argued, is crucial for those seeking to protect the status quo:It seems psychologically necessary for anyone who wants to advocate for keeping things the way they are that the haves should keep on having, and the have-nots have got as much as they deserve. I don’t see how you could advocate for such a position while simultaneously viewing yourself as moral (and almost everyone believes that they themselves are moral) without also believing in the just world

Conversely, if you generally believe the world is not just, and you view yourself as a moral person, then you are likely to feel like you have an obligation to change things.

I asked Lene Aaroe, a political scientist at Aarhus University in Denmark, why the contemporary American political system is as polarized as it is now, given that the liberal-conservative schism is longstanding. What has happened to produce such intense hostility between left and right?

There is variation across countries in hostility between left and right. The United States is a particularly polarized case which calls for a contextual explanatio

I then asked Aaroe why surveys find that conservatives are happier than liberals. “Some research,” she replied, “suggests that experiences of inequality constitute a larger psychological burden to liberals because it is more difficult for liberals to rationalize inequality as a phenomenon with positive consequences.”

Numerous factors potentially influence the evolution of liberalism and conservatism and other social-cultural differences, including geography, topography, catastrophic events, and subsistence styles

Steven Pinker, a professor of psychology at Harvard, elaborated in an email on the link between conservatism and happiness:

t’s a combination of factors. Conservatives are likelier to be married, patriotic, and religious, all of which make people happier

They may be less aggrieved by the status quo, whereas liberals take on society’s problems as part of their own personal burdens. Liberals also place politics closer to their identity and striving for meaning and purpose, which is a recipe for frustration.

Some features of the woke faction of liberalism may make people unhappier: as Jon Haidt and Greg Lukianoff have suggested, wokeism is Cognitive Behavioral Therapy in reverse, urging upon people maladaptive mental habits such as catastrophizing, feeling like a victim of forces beyond one’s control, prioritizing emotions of hurt and anger over rational analysis, and dividing the world into allies and villains.

Why, I asked Pinker, would liberals and conservatives react differently — often very differently — to messages that highlight threat?

It may be liberals (or at least the social-justice wing) who are more sensitive to threats, such as white supremacy, climate change, and patriarchy; who may be likelier to moralize, seeing racism and transphobia in messages that others perceive as neutral; and being likelier to surrender to emotions like “harm” and “hurt.”

While liberals and conservatives, guided by different sets of moral values, may make agreement on specific policies difficult, that does not necessarily preclude consensus.

there are ways to persuade conservatives to support liberal initiatives and to persuade liberals to back conservative proposals:

While liberals tend to be more concerned with protecting vulnerable groups from harm and more concerned with equality and social justice than conservatives, conservatives tend to be more concerned with moral issues like group loyalty, respect for authority, purity and religious sanctity than liberals are. Because of these different moral commitments, we find that liberals and conservatives can be persuaded by quite different moral arguments

For example, we find that conservatives are more persuaded by a same-sex marriage appeal articulated in terms of group loyalty and patriotism, rather than equality and social justice.

Liberals who read the fairness argument were substantially more supportive of military spending than those who read the loyalty and authority argument.

We find support for these claims across six studies involving diverse political issues, including same-sex marriage, universal health care, military spending, and adopting English as the nation’s official language.”

In one test of persuadability on the right, Feinberg and Willer assigned some conservatives to read an editorial supporting universal health care as a matter of “fairness (health coverage is a basic human right)” or to read an editorial supporting health care as a matter of “purity (uninsured people means more unclean, infected, and diseased Americans).”

Conservatives who read the purity argument were much more supportive of health care than those who read the fairness case.

“political arguments reframed to appeal to the moral values of those holding the opposing political position are typically more effective

In “Conservative and Liberal Attitudes Drive Polarized Neural Responses to Political Content,” Willer, Yuan Chang Leong of the University of Chicago, Janice Chen of Johns Hopkins and Jamil Zaki of Stanford address the question of how partisan biases are encoded in the brain:

society. How do such biases arise in the brain? We measured the neural activity of participants watching videos related to immigration policy. Despite watching the same videos, conservative and liberal participants exhibited divergent neural responses. This “neural polarization” between groups occurred in a brain area associated with the interpretation of narrative content and intensified in response to language associated with risk, emotion, and morality. Furthermore, polarized neural responses predicted attitude change in response to the videos.

The four authors argue that their “findings suggest that biased processing in the brain drives divergent interpretations of political information and subsequent attitude polarization.” These results, they continue, “shed light on the psychological and neural underpinnings of how identical information is interpreted differently by conservatives and liberals.”

The authors used neural imaging to follow changes in the dorsomedial prefrontal cortex (known as DMPFC) as conservatives and liberals watched videos presenting strong positions, left and right, on immigration.

or each video,” they write,participants with DMPFC activity time courses more similar to that of conservative-leaning participants became more likely to support the conservative positio

Conversely, those with DMPFC activity time courses more similar to that of liberal-leaning participants became more likely to support the liberal position. These results suggest that divergent interpretations of the same information are associated with increased attitude polarizatio

Together, our findings describe a neural basis for partisan biases in processing political information and their effects on attitude change.

Describing their neuroimaging method, the authors point out that theysearched for evidence of “neural polarization” activity in the brain that diverges between people who hold liberal versus conservative political attitudes. Neural polarization was observed in the dorsomedial prefrontal cortex (DMPFC), a brain region associated with the interpretation of narrative content.

The question is whether the political polarization that we are witnessing now proves to be a core, encoded aspect of the human mind, difficult to overcome — as Leong, Chen, Zaki and Willer sugges

— or whether, with our increased knowledge of the neural basis of partisan and other biases, we will find more effective ways to manage these most dangerous of human predispositions.

If replication is what separates the rigor of science from the squishiness of pseudoscience, where do we put all these rigorously validated findings that can no longer be proved? Which results should we believe?

Schooler demonstrated that subjects shown a face and asked to describe it were much less likely to recognize the face when shown it later than those who had simply looked at it. Schooler called the phenomenon “verbal overshadowing.”

The most likely explanation for the decline is an obvious one: regression to the mean. As the experiment is repeated, that is, an early statistical fluke gets cancelled out. The extrasensory powers of Schooler’s subjects didn’t decline—they were simply an illusion that vanished over time.

yet Schooler has noticed that many of the data sets that end up declining seem statistically solid—that is, they contain enough data that any regression to the mean shouldn’t be dramatic. “These are the results that pass all the tests,” he says. “The odds of them being random are typically quite remote, like one in a million. This means that the decline effect should almost never happen. But it happens all the time!

this is why Schooler believes that the decline effect deserves more attention: its ubiquity seems to violate the laws of statistics

In 2001, Michael Jennions, a biologist at the Australian National University, set out to analyze “temporal trends” across a wide range of subjects in ecology and evolutionary biology. He looked at hundreds of papers and forty-four meta-analyses (that is, statistical syntheses of related studies), and discovered a consistent decline effect over time, as many of the theories seemed to fade into irrelevance.

Jennions admits that his findings are troubling, but expresses a reluctance to talk about them

publicly. “This is a very sensitive issue for scientists,” he says. “You know, we’re supposed to be dealing with hard facts, the stuff that’s supposed to stand the test of time. But when you see these trends you become a little more skeptical of things.”

While publication bias almost certainly plays a role in the decline effect, it remains an incomplete explanation. For one thing, it fails to account for the initial prevalence of positive results among studies that never even get submitted to journals. It also fails to explain the experience of people like Schooler, who have been unable to replicate their initial data despite their best efforts.

Jennions, similarly, argues that the decline effect is largely a product of publication bias, or the tendency of scientists and scientific journals to prefer positive data over null results, which is what happens when no effect is found. The bias was first identified by the statistician Theodore Sterling, in 1959, after he noticed that ninety-seven per cent of all published psychological studies with statistically significant data found the effect they were looking for

Sterling saw that if ninety-seven per cent of psychology studies were proving their hypotheses, either psychologists were extraordinarily lucky or they published only the outcomes of successful experiments.

One of his most cited papers has a deliberately provocative title: “Why Most Published Research Findings Are False.”

suspects that an equally significant issue is the selective reporting of results—the data that scientists choose to document in the first place. Palmer’s most convincing evidence relies on a statistical tool known as a funnel graph. When a large number of studies have been done on a single subject, the data should follow a pattern: studies with a large sample size should all cluster around a common value—the true result—whereas those with a smaller sample size should exhibit a random scattering, since they’re subject to greater sampling error. This pattern gives the graph its name, since the distribution resembles a funnel.

after Palmer plotted every study of fluctuating asymmetry, he noticed that the distribution of results with smaller sample sizes wasn’t random at all but instead skewed heavily toward positive results. Palmer has since documented a similar problem in several other contested subject areas. “Once I realized that selective reporting is everywhere in science, I got quite depressed,” Palmer told me. “As a researcher, you’re always aware that there might be some nonrandom patterns, but I had no idea how widespread it is.”

Palmer summarized the impact of selective reporting on his field: “We cannot escape the troubling conclusion that some—perhaps many—cherished generalities are at best exaggerated in their biological significance and at worst a collective illusion nurtured by strong a-priori beliefs often repeated.”

Palmer emphasizes that selective reporting is not the same as scientific fraud. Rather, the problem seems to be one of subtle omissions and unconscious misperceptions, as researchers struggle to make sense of their results. Stephen Jay Gould referred to this as the “sho

horning” process.

“A lot of scientific measurement is really hard,” Simmons told me. “If you’re talking about fluctuating asymmetry, then it’s a matter of minuscule differences between the right and left sides of an animal. It’s millimetres of a tail feather. And so maybe a researcher knows that he’s measuring a good male”—an animal that has successfully mated—“and he knows that it’s supposed to be symmetrical. Well, that act of measurement is going to be vulnerable to all sorts of perception biases. That’s not a cynical statement. That’s just the way human beings work.”

For Simmons, the steep rise and slow fall of fluctuating asymmetry is a clear example of a scientific paradigm, one of those intellectual fads that both guide and constrain research: after a new paradigm is proposed, the peer-review process is tilted toward positive results. But then, after a few years, the academic incentives shift—the paradigm has become entrenched—so that the most notable results are now those that disprove the theory.

John Ioannidis, an epidemiologist at Stanford University, argues that such distortions are a serious issue in biomedical research. “These exaggerations are why the decline has become so common,” he says. “It’d be really great if the initial studies gave us an accurate summary of things. But they don’t. And so what happens is we waste a lot of money treating millions of patients and doing lots of follow-up studies on other themes based on results that are misleading.”

In 2005, Ioannidis published an article in the Journal of the American Medical Association that looked at the forty-nine most cited clinical-research studies in three major medical journals.

the data Ioannidis found were disturbing: of the thirty-four claims that had been subject to replication, forty-one per cent had either been directly contradicted or had their effect sizes significantly downgraded.

the most troubling fact emerged when he looked at the test of replication: out of four hundred and thirty-two claims, only a single one was consistently replicable. “This doesn’t mean that none of these claims will turn out to be true,” he says. “But, given that most of them were done badly, I wouldn’t hold my breath.”

According to Ioannidis, the main problem is that too many researchers engage in what he calls “significance chasing,” or finding ways to interpret the data so that it passes the statistical test of significance—the ninety-five-per-cent boundary invented by Ronald Fisher.

One of the classic examples of selective reporting concerns the testing of acupuncture in different countries. While acupuncture is widely accepted as a medical treatment in various Asian countries, its use is much more contested in the West. These cultural differences have profoundly influenced the results of clinical trials.

The problem of selective reporting is rooted in a fundamental cognitive flaw, which is that we like proving ourselves right and hate being wrong.

“It feels good to validate a hypothesis,” Ioannidis said. “It feels even better when you’ve got a financial interest in the idea or your career depends upon it. And that’s why, even after a claim has been systematically disproven”—he cites, for instance, the early work on hormone replacement therapy, or claims involving various vitamins—“you still see some stubborn researchers citing the first few studies

That’s why Schooler argues that scientists need to become more rigorous about data collection before they publish. “We’re wasting too much time chasing after bad studies and underpowered experiments,”

The current “obsession” with replicability distracts from the real problem, which is faulty design.

“Every researcher should have to spell out, in advance, how many subjects they’re going to use, and what exactly they’re testing, and what constitutes a sufficient level of proof. We have the tools to be much more transparent about our experiments.”

Schooler recommends the establishment of an open-source database, in which researchers are required to outline their planned investigations and document all their results. “I think this would provide a huge increase in access to scientific work and give us a much better way to judge the quality of an experiment,”

scientific research will always be shadowed by a force that can’t be curbed, only contained: sheer randomness. Although little research has been done on the experimental dangers of chance and happenstance, the research that exists isn’t encouraging.

The disturbing implication of the Crabbe study is that a lot of extraordinary scientific data are nothing but noise. The hyperactivity of those coked-up Edmonton mice wasn’t an interesting new fact—it was a meaningless outlier, a by-product of invisible variables we don’t understand.

The problem, of course, is that such dramatic findings are also the most likely to get published in prestigious journals, since the data are both statistically significant and entirely unexpected

This suggests that the decline effect is actually a decline of illusion. While Karl Popper imagined falsification occurring with a single, definitive experiment—Galileo refuted Aristotelian mechanics in an afternoon—the process turns out to be much messier than that.

Many scientific theories continue to be considered true even after failing numerous experimental tests.

Even the law of gravity hasn’t always been perfect at predicting real-world phenomena. (In one test, physicists measuring gravity by means of deep boreholes in the Nevada desert found a two-and-a-half-per-cent discrepancy between the theoretical predictions and the actual data.)

Such anomalies demonstrate the slipperiness of empiricism. Although many scientific ideas generate conflicting results and suffer from falling effect sizes, they continue to get cited in the textbooks and drive standard medical practice. Why? Because these ideas seem true. Because they make sense. Because we can’t bear to let them go. And this is why the decline effect is so troubling. Not because it reveals the human fallibility of science, in which data are tweaked and beliefs shape perceptions. (Such shortcomings aren’t surprising, at least for scientists.) And not because it reveals that many of our most exciting theories are fleeting fads and will soon be rejected. (That idea has been around since Thomas Kuhn.)

The decline effect is troubling because it reminds us how difficult it is to prove anything. We like to pretend that our experiments define the truth for us. But that’s often not the case. Just because an idea is true doesn’t mean it can be proved. And just because an idea can be proved doesn’t mean it’s true. When the experiments are done, we still have to choose what to believe. ♦

Numbers become not just part of the way we judge and assess, but the only way.

when students are researching a paper, how do they decide where to turn for the greatest expertise? Often, he said, by looking at what articles or papers online have the most hits.

“Just because we have the skills and ability to put metrics on everything doesn’t mean we should. People are ever-changing, fascinating and incredibly frustrating.”

“For almost anybody in the United States under the age of 25, the only models are quantifiable rankings,”

black-and-white statistics, while arguably irrefutable in one way, really tell us almost nothing. Amazon’s rankings of book sales, for instance — which anyone can view — can vary wildly based on the sale of very few books.

“Should it be that whatever has the most hits or the most editors makes it better than someone who spent his life studying Kant?”

The obsession with numbers, he said, means we don’t trust or even look for the intangibles that can’t be measured, like wisdom, judgment and expertise.

“What I’m most troubled by is the desire of individuals (especially myself) to constantly check up on these numbers, and to accept these measurements as a measure of something meaningful.”

“I have to stop worrying about numbers. I have to reclaim the ambiguous part of my own intelligence.”

Democratic supporters of safety net programs can use Jencks’s finding that poverty has dropped below 5 percent as evidence that the war on poverty has been successful.

At the same time liberals are wary of positive news because, as Jencks notes:It is easier to rally support for such an agenda by saying that the problem in question is getting worse

The plus side for conservatives of Jencks’s low estimate of the poverty rate is the implication that severe poverty has largely abated, which then provides justification for allowing enemies of government entitlement programs to further cut social spending.

At the same time, however, Jencks’s data undermines Republican claims that the war on poverty has been a failure – a claim exemplified by Ronald Reagan’s famous 1987 quip: “In the sixties we waged a war on poverty, and poverty won.”

Jencks’s conclusion: “The absolute poverty rate has declined dramatically since President Johnson launched his war on poverty in 1964.” At 4.8 percent, Jencks’s calculation is the lowest poverty estimate by a credible expert in the field.

his conclusion — that instead of the official count of 45.3 million people living in poverty, the number of poor people in America is just under 15 million — understates the scope of hardship in this country.

Jencks argues that the actual poverty rate has dropped over the past five decades – far below the official government level — if poverty estimates are adjusted for food and housing benefits, refundable tax credits and a better method of determining inflation rates. In Jencks’s view, the war on poverty worked.

using a relative measure shows that the United States lags well behind other developed countries:If you use the O.E.C.D. standard of 50 percent of median income as a poverty line, the United States looks pretty bad in cross-national relief. We have a relative poverty rate exceeded only by Chile, Turkey, Mexico and Israel (which has seen a big increase in inequality in recent years). And that rate in 2010 was essentially where it was in 1995

While the United States “has achieved real progress in reducing absolute poverty over the past 50 years,” according to Burtless, “the country may have made no progress at all in reducing the relative economic deprivation of folks at the bottom.”

the heart of the dispute: How severe is the problem of poverty?

Kathryn Edin, a professor of sociology at Johns Hopkins, and Luke Schaefer, a professor of social work at the University of Michigan, contend that the poverty debate overlooks crucial changes that have taken place within the population of the poor.

welfare reform, signed into law by President Clinton in 1996 (the Personal Responsibility and Work Opportunity Act), which limited eligibility for welfare benefits to five years. The limitation has forced many of the poor off welfare: over the past 19 years, the percentage of families falling under the official poverty line who receive welfare benefits has fallen from to 26 percent from 68 percent. Currently, three-quarters of those in poverty, under the official definition, receive no welfare payments.

he enactment of expanded benefits for the working poor through the earned-income tax credit and the child tax credit.According to Edin and Schaefer, the consequence of these changes, taken together, has been to divide the poor who no longer receive welfare into two groups. The first group is made up of those who have gone to work and have qualified for tax credits. Expanded tax credits lifted about 3.2 million children out of poverty in 2013

he second group, though, has really suffered. These are the very poor who are without work, part of a population that is struggling desperately. Edin and Schaefer write that among the losers are an estimated 3.4 million “children who over the course of a year live for at least three months under a $2 per person per day threshold.”

ocusing on these findings, Mishel argues, diverts attention from the more serious problem of “the failure of the labor market to adequately reward low-wage workers.”To support his case, Mishel points out that hourly pay for those in the bottom fifth grew only 7.7 percent from 1979 to 2007, while productivity grew by 64 percent, and education levels among workers in this quintile substantially improved.

Before he died, Richard Feynman, who understood quantum theory as well as anyone, said, “I still get nervous with it...I cannot define the real problem, therefore I suspect there’s no real problem, but I’m not sure there’s no real problem.” The problem is not with using the theory — making calculations, applying it to engineering tasks — but in understanding what it means. What does it tell us about the world?

From one point of view, quantum physics is just a set of formalisms, a useful tool kit. Want to make better lasers or transistors or television sets? The Schrödinger equation is your friend. The trouble starts only when you step back and ask whether the entities implied by the equation can really exist. Then you encounter problems that can be described in several familiar ways:

Wave-particle duality. Everything there is — all matter and energy, all known forces — behaves sometimes like waves, smooth and continuous, and sometimes like particles, rat-a-tat-tat. Electricity flows through wires, like a fluid, or flies through a vacuum as a volley of individual electrons. Can it be both things at once?

The uncertainty principle. Werner Heisenberg famously discovered that when you measure the position (let’s say) of an electron as precisely as you can, you find yourself more and more in the dark about its momentum. And vice versa. You can pin down one or the other but not both.

The measurement problem. Most of quantum mechanics deals with probabilities rather than certainties. A particle has a probability of appearing in a certain place. An unstable atom has a probability of decaying at a certain instant. But when a physicist goes into the laboratory and performs an experiment, there is a definite outcome. The act of measurement — observation, by someone or something — becomes an inextricable part of the theory

The strange implication is that the reality of the quantum world remains amorphous or indefinite until scientists start measuring

Other interpretations rely on “hidden variables” to account for quantities presumed to exist behind the curtain.

This is disturbing to philosophers as well as physicists. It led Einstein to say in 1952, “The theory reminds me a little of the system of delusions of an exceedingly intelligent paranoiac.”

“Figuring out what quantum physics is saying about the world has been hard,” Becker says, and this understatement motivates his book, a thorough, illuminating exploration of the most consequential controversy raging in modern science.

In a way, the Copenhagen is an anti-interpretation. “It is wrong to think that the task of physics is to find out how nature is,” Bohr said. “Physics concerns what we can say about nature.”

Nothing is definite in Bohr’s quantum world until someone observes it. Physics can help us order experience but should not be expected to provide a complete picture of reality. The popular four-word summary of the Copenhagen interpretation is: “Shut up and calculate!”

Becker sides with the worriers. He leads us through an impressive account of the rise of competing interpretations, grounding them in the human stories

He makes a convincing case that it’s wrong to imagine the Copenhagen interpretation as a single official or even coherent statement. It is, he suggests, a “strange assemblage of claims.

An American physicist, David Bohm, devised a radical alternative at midcentury, visualizing “pilot waves” that guide every particle, an attempt to eliminate the wave-particle duality.

Competing approaches to quantum foundations are called “interpretations,” and nowadays there are many. The first and still possibly foremost of these is the so-called Copenhagen interpretation.

Perhaps the most popular lately — certainly the most talked about — is the “many-worlds interpretation”: Every quantum event is a fork in the road, and one way to escape the difficulties is to imagine, mathematically speaking, that each fork creates a new universe

if you think the many-worlds idea is easily dismissed, plenty of physicists will beg to differ. They will tell you that it could explain, for example, why quantum computers (which admittedly don’t yet quite exist) could be so powerful: They would delegate the work to their alter egos in other universes.

When scientists search for meaning in quantum physics, they may be straying into a no-man’s-land between philosophy and religion. But they can’t help themselves. They’re only human.

If you were to watch me by day, you would see me sitting at my desk solving Schrödinger’s equation...exactly like my colleagues,” says Sir Anthony Leggett, a Nobel Prize winner and pioneer in superfluidity. “But occasionally at night, when the full moon is bright, I do what in the physics community is the intellectual equivalent of turning into a werewolf: I question whether quantum mechanics is the complete and ultimate truth about the physical universe.”

for example, a good instructor would teach Martin Luther King Jr.’s “I Have a Dream” speech by encouraging a conversation that involved analyzing the text and identifying the evidence, both factual and rhetorical, that makes it persuasive. “The opposite of what we’d want is a classroom where a teacher might ask only: ‘What was the year the speech was given? Where was it given?’ ”

in the past, assembling the SAT focused on making sure the questions performed on technical grounds, meaning: Were they appropriately easy or difficult among a wide range of students, and were they free of bias when tested across ethnic, racial and religious subgroups? The goal was “maximizing differentiation” among kids, which meant finding items that were answered correctly by those students who were expected to get them right and incorrectly by the weaker students. A simple way of achieving this, Coleman said, was to test the kind of obscure vocabulary words for which the SAT was famous

In redesigning the test, the College Board shifted its emphasis. It prioritized content, measuring each question against a set of specifications that reflect the kind of reading and math that students would encounter in college and their work lives. Schmeiser and others then spent much of early last year watching students as they answered a set of 20 or so problems, discussing the questions with the students afterward. “The predictive validity is going to come out the same,” she said of the redesigned test. “But in the new test, we have much more control over the content and skills that are being measured.”

Evidence-based reading and writing, he said, will replace the current sections on reading and writing. It will use as its source materials pieces of writing — from science articles to historical documents to literature excerpts — which research suggests are important for educated Americans to know and understand deeply. “The Declaration of Independence, the Constitution, the Bill of Rights and the Federalist Papers,” Coleman said, “have managed to inspire an enduring great conversation about freedom, justice, human dignity in this country and the world” — therefore every SAT will contain a passage from either a founding document or from a text (like Lincoln’s Gettysburg Address) that is part of the “great global conversation” the founding documents inspired.

The idea is that the test will emphasize words students should be encountering, like “synthesis,” which can have several meanings depending on their context. Instead of encouraging students to memorize flashcards, the test should promote the idea that they must read widely throughout their high-school years.

The Barbara Jordan vocabulary question would have a follow-up — “How do you know your answer is correct?” — to which students would respond by identifying lines in the passage that supported their answer.

. No longer will it be good enough to focus on tricks and trying to eliminate answer choices. We are not interested in students just picking an answer, but justifying their answers.”

the essay portion of the test will also be reformulated so that it will always be the same, some version of: “As you read the passage in front of you, consider how the author uses evidence such as facts or examples; reasoning to develop ideas and to connect claims and evidence; and stylistic or persuasive elements to add power to the ideas expressed. Write an essay in which you explain how the author builds an argument to persuade an audience.”

The math section, too, will be predicated on research that shows that there are “a few areas of math that are a prerequisite for a wide range of college courses” and careers. Coleman conceded that some might treat the news that they were shifting away from more obscure math problems to these fewer fundamental skills as a dumbing-down the test, but he was adamant that this was not the case. He explained that there will be three areas of focus: problem solving and data analysis, which will include ratios and percentages and other mathematical reasoning used to solve problems in the real world; the “heart of algebra,” which will test how well students can work with linear equations (“a powerful set of tools that echo throughout many fields of study”); and what will be called the “passport to advanced math,” which will focus on the student’s familiarity with complex equations and their applications in science and social science.

“Sometimes in the past, there’s been a feeling that tests were measuring some sort of ineffable entity such as intelligence, whatever that might mean. Or ability, whatever that might mean. What this is is a clear message that good hard work is going to pay off and achievement is going to pay off. This is one of the most significant developments that I have seen in the 40-plus years that I’ve been working in admissions in higher education.”

The idea of creating a transparent test and then providing a free website that any student could use — not to learn gimmicks but to get a better grounding and additional practice in the core knowledge that would be tested — was appealing to Coleman.

(The College Board won’t pay Khan Academy.) They talked about a hypothetical test-prep experience in which students would log on to a personal dashboard, indicate that they wanted to prepare for the SAT and then work through a series of preliminary questions to demonstrate their initial skill level and identify the gaps in their knowledge. Khan said he could foresee a way to estimate the amount of time it would take to achieve certain benchmarks. “It might go something like, ‘O.K., we think you’ll be able to get to this level within the next month and this level within the next two months if you put in 30 minutes a day,’ ” he said. And he saw no reason the site couldn’t predict for anyone, anywhere the score he or she might hope to achieve with a commitment to a prescribed amount of work.

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.