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For boys and girls raised in two-parent households, there were only modest differences between the sexes in terms of success at school, and boys tended to earn more than their sisters in early adulthood.

At the same time, the divorce rate for college graduates has declined from 34.8 percent among those born between 1950 and 1955 to 29.9 percent among those born between 1957 and 1964. In contrast, the divorce rate for those without college degrees increased over the same period from 44.3 percent to 50.6 percent.

First, there are irreversible changes in the workplace, particularly the rise of jobs requiring social skills (even STEM jobs) that will continue to make it hard for men who lack those skills.

Females consistently score higher on tests of emotional and social intelligence. Sex differences in sociability and social perceptiveness have been shown to have biological origins, with differences appearing in infancy and higher levels of fetal testosterone associated with lower scores on tests of social intelligence.

This vulnerability, in turn, makes boys more susceptible toattention deficit hyperactivity disorder, and conduct disorders as well as the epigenetic mechanisms that can account for the recent widespread increase of these disorders in U.S. culture.

Schore argues that a major factor in rising dysfunction among boys and men in this country is the failure of the United States to provide longer periods of paid parental leave, with the result that many infants are placed in day care when they are six weeks old.

Men are really going to have to change their act or have big problems. I think of big guys from the cave days, guys who were good at lifting stuff and hunting and the things we got genetically selected out for. During the industrial revolution that wasn’t so bad, but it’s not going to be there anymore.

Second, male children suffer more from restricted or nonexistent parental leave policies and contemporary child care arrangements, as well as from growing up in single-parent households. Advertisement Continue reading the main story

It has been a longstanding objective of right-wing regimes to push women back into traditional gender roles. Is that what’s going on here? Or could it be something less pernicious and more important?

Asked later during a television interview about the president’s son, Mr. Khan dismissed the post. “I’m not going to respond to a tweet from Donald Trump Jr.,” he said on CNN. “I’ve been doing far more important things over the last 24 hours.”

How did it go? I was absolutely miserable dating appropriate-age marketing associates who lived near me. I always wanted to be at home reading instead

Then one night I held a reading with some authors I admire at a bookstore, and I threw an after-party at my favorite dive bar. In walked a friend of a friend who I sort of knew from the internet but who I’d never met in real life. He is six years younger than I am (way too young for me) and he lived in Harlem (that’s a $40 cab fare from my home in Brooklyn) and he’s a writer/comedian (warning flags coming at me from every direction). But we talked and he charmed me. He was online dating, too, but I never would’ve found him on an app. He wasn’t on my metaphorical vision board, but he fit into my real life in ways I never could’ve imagined. He’s my husband now. (He likes David Foster Wallace.)

The internet is supposed to make it easier for us to find people and places and perfect gifts, and more profitable for companies that offer those services. And yet here I am, with my too-old dog and my too-young husband and my ever-growing book collection, happier than I could have predicted.

It’s risky not to have data, to be without numbers you can plug in when you’re looking for something or someone to love. We think we know exactly what we want. But I hope that our guts remain true to our hearts, and in this world measured by clicks and stars and highest customer reviews, we remember that some rules are made to be broken in the most delightful of ways.

To date, over 3.3 million people have signed up, according to the website.

“Everyone knows what they need to do to protect their physical health: wash your hands, and social distance, and wear a mask,” she added. “People were struggling with what to do to protect their mental health.”

The Coursera curriculum, adapted from the one Dr. Santos taught at Yale, asks students to, among other things, track their sleep patterns, keep a gratitude journal, perform random acts of kindness, and take note of whether, over time, these behaviors correlate with a positive change in their general mood.

Ms. McIntire took the class. She called it “life-changing.”

A night owl, she had struggled with sleep and enforcing her own time boundaries.

“It’s hard to set those boundaries with yourself sometimes and say, ‘I know this book is really exciting, but it can wait till tomorrow, sleep is more important,’”

“That’s discipline, right? But I had never done it in that way, where it’s like, ‘It’s going to make you happier. It’s not just good for you; it’s going to actually legitimately make you happier.’”

has stuck with it even after finishing the class

Meditation also helped her to get off social media.

“I found myself looking inward. It helped me become more introspective,” she said. “Honestly, it was the best thing I ever did.”

“There’s no reason I shouldn’t be happy,” she said. “I have a wonderful marriage. I have two kids. I have a nice job and a nice house. And I just could never find happiness.

Since taking the course, Ms. Morgan, 52, has made a commitment to do three things every day: practice yoga for one hour, take a walk outside in nature no matter how cold it may be in Alberta, and write three to five entries in her gratitude journal before bed

“When you start writing down those things at the end of the day, you only think about it at the end of the day, but once you make it a routine, you start to think about it all throughout the day,”

some studies show that finding reasons to be grateful can increase your general sense of well-being.

“Somewhere along the second or third year, you do feel a bit burned out, and you need strategies for dealing with it,”

“I’m still feeling that happiness months later,”

Matt Nadel, 21, a Yale senior, was among the 1,200 students taking the class on campus in 2018. He said the rigors of Yale were a big adjustment when he started at the university in the fall of 2017.

“Did the class impact my life in a long term, tangible way? The answer is no.”

While the class wasn’t life-changing for him, Mr. Nadel said that he is more expressive now when he feels gratitude.

“I think I was struggling to reconcile, and to intellectually interrogate, my religion,” he said. “Also acknowledging that I just really like to hang out with this kind of community that I think made me who I am.”

Life-changing? No. But certainly life-affirming

“The class helped make me more secure and comfortable in my pre-existing religious beliefs,”

negative visualization. This entails thinking of a good thing in your life (like your gorgeous, reasonably affordable apartment) and then imagining the worst-case scenario (suddenly finding yourself homeless and without a safety net).

If gratitude is something that doesn’t come naturally, negative visualization can help you to get there.

“That’s something that I really keep in mind, especially when I feel like my mind is so trapped in thinking about future hurdles,

“I should be so grateful for everything that I have. Because you’re not built to notice these things.”

It might be while reminiscing about the past and realizing they’re having a different experience with memory than their friends or family.

Ultimately, aphantasia is just one of the many ways that people’s brains and learning styles are different.

When I close my eyes, all I see is faint blue dots and darkness, and for 19 years, I assumed that’s what everyone else saw too.

Long before scientists were studying the properties of neurons, artists had devised a series of techniques to deceive the brain into thinking that a flat canvas was three-dimensional or that a series of brushstrokes was indeed a still life.

Visual illusions are defined by the dissociation between the physical reality and the subjective perception of an object or event.

Brightness, color, shading, eye movement and other factors can have powerful effects on what we “see.”

Branko Milanovic, a former economist at the World Bank, called it “one of the watershed books in economic thinking.

“Capital in the Twenty-First Century,” with its title echoing Marx’s “Das Kapital,” is meant to be a return to the kind of economic history, of political economy, written by predecessors like Marx and Adam Smith. It is nothing less than a broad effort to understand Western societies and the economic rules that underpin them.

he said, are his generation’s “founding experiences”: the collapse of Communism, the economic degradation of Eastern Europe and the first Gulf War, in 1991.

Those events motivated him to try to understand a world where economic ideas had such bad consequences. As for the Gulf War, it showed him that “governments can do a lot in terms of redistribution of wealth when they want.” The rapid intervention to fo

The reason that postwar economies looked different — that inequality fell — was historical catastrophe. World War I, the Depression and World War II destroyed huge accumulations of private capital, especially in Europe. What the French call “les

In 2012 the top 1 percent of American households collected 22.5 percent of the nation’s income, the highest total since 1928. The richest 10 percent of Americans now take a larger slice of the pie than in 1913, at the close of the Gilded Age, owning more than 70 percent of the nation’s wealth. And half of that is owned by the top 1 percent. Advertisement Continue reading the main story Mr. Piketty, father of three daughters — 11, 13 and 16 — is no revolutionary. He is a member of no political party, and says he never served as an economic adviser to any politician. He calls himself a pragmatist, who simply follows the data.

Net wealth is a better indicator of ability to pay than income alone, he said. “All I’m proposing is to reduce the property tax on half or three-quarters of the population who have very little wealth,” he said. Write A Comment Published a year ago in French, the book is not without critics, especially of Mr. Piketty’s policy prescriptions, which have been called politically naïve. Others point out that some of the increase in capital is because of aging populations and postwar pension plans, which are not necessarily inherited.More criticism is sure to come, and Mr. Piketty says he welcomes it. “I’m certainly looking forward to the debate.”

There are different types of attention, and they use different parts of the brain.

Hearing, in short, is easy. You and every other vertebrate that hasn’t suffered some genetic, developmental or environmental accident have been doing it for hundreds of millions of years. It’s your life line, your alarm system, your way to escape danger and pass on your genes

This simplest form of attention requires almost no brains at all and has been observed in every studied vertebrate.

But listening, really listening, is hard when potential distractions are leaping into your ears every fifty-thousandth of a second — and pathways in your brain are just waiting to interrupt your focus to warn you of any potential dangers.

Listening is a skill that we’re in danger of losing in a world of digital distraction and information overload.

we can train our listening just as with any other skill. Listen to new music when jogging rather than familiar tunes. Listen to your dog’s whines and barks: he is trying to tell you something isn’t right. Listen to your significant other’s voice — not only to the words, which after a few years may repeat, but to the sounds under them, the emotions carried in the harmonics.

“You never listen” is not just the complaint of a problematic relationship, it has also become an epidemic in a world that is exchanging convenience for content, speed for meaning. The richness of life doesn’t lie in the loudness and the beat, but in the timbres and the variations that you can discern if you simply pay attention.

I explained to her that if the visual parts of the brain are deprived of actual input, they are hungry for stimulation and may concoct images of their own. Rosalie was greatly relieved by this, and delighted to know that there was even a name for her condition: Charles Bonnet syndrome.

Professor Rosenhan demonstrated convincingly that auditory hallucinations and schizophrenia were synonymous in the medical mind.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Perception, informed not just by the facts but our instinctive interpretations of how those facts feel, IS reality…a potentially dangerous reality

Reality-directed imagination, for its part, endeavours to re-create, in the intellectual realm, actions and events that have existed or have taken place, which we may have plenty or partial information about.

Reality-directed imagination is thus a means to retain a solid sense of reality rather than to submerge into the everlasting landscape of fantasy. We imagine what was and try to afford it life.  

Without reality-directed imagination, on the other hand, the study of history would be well-nigh impossible.

By resorting to reality-directed imagination we are able intellectually to disconnect ourselves from the present; to visualize, like a landscape gradually making its appearance as we move backwards in time, the setting in which an event occurred or the personal features of an individual we follow. We are able emotionally to connect ourselves to the prevailing conditions or to a person's thoughts.

In the study of history we make use of reality-directed imagination as we depict in our minds the characters of individuals or the nature of events. We even try to fill the gaps by resorting to our imagination ever vigilant not to lose sight of reality as it was. In other words, we attempt to imagine the unknown by resorting to the known.

Without imagination as a study-device, the learning of history becomes well-nigh impossible, for the information furnished to us is rendered unintelligible. We are unable to relate to it in any meaningful manner. We assess it in a mechanical way, devoid of image, sound and feel. Our attempt to understand it leads to a dead-end for we cannot leap forward from the stale fact before us and relate it to other facts beyond it.

Without imagination we cannot compare, distinguish and separate; we cannot know the difference between the particular and the general. In order to study history we need to avoid the mechanical, on the one hand, and the fantastic, on the other. In other words, we ought to eschew both lack of imagination and fantasy-directed imagination; the first does not allow us to proceed forward while the latter leads us to the realm of the unreal.

The iron law of Darwinian evolution is that everything that exists strives with all its power to reproduce, to extend life into the future, and that every feature of every creature can be explained as an adaptation toward this end. For the artist to deny any connection with the enterprise of life, then, is to assert his freedom from this universal imperative; to reclaim negatively the autonomy that evolution seems to deny to human beings. It is only because we can freely choose our own ends that we can decide not to live for life, but for some other value that we posit. The artist’s decision to produce spiritual offspring rather than physical ones is thus allied to the monk’s celibacy and the warrior’s death for his country, as gestures that deny the empire of mere life.

Animals produce beauty on their bodies; humans can also produce it in their artifacts. The natural inference, then, would be that art is a human form of sexual display, a way for males to impress females with spectacularly redundant creations.

For Darwin, the human sense of beauty was not different in kind from the bird’s.

Still, Darwin recognized that the human sense of beauty was mediated by “complex ideas and trains of thought,” which make it impossible to explain in terms as straightforward as a bird’s:

Put more positively, one might say that any given work of art can be discussed critically and historically, but not deduced from the laws of evolution.

with the rise of evolutionary psychology, it was only a matter of time before the attempt was made to explain art in Darwinian terms. After all, if ethics and politics can be explained by game theory and reciprocal altruism, there is no reason why aesthetics should be different: in each case, what appears to be a realm of human autonomy can be reduced to the covert expression of biological imperatives

Still, there is an unmistakable sense in discussions of Darwinian aesthetics that by linking art to fitness, we can secure it against charges of irrelevance or frivolousness—that mattering to reproduction is what makes art, or anything, really matter.

The first popular effort in this direction was the late Denis Dutton’s much-discussed book The Art Instinct, which appeared in 2009.

Dutton’s Darwinism was aesthetically conservative: “Darwinian aesthetics,” he wrote, “can restore the vital place of beauty, skill, and pleasure as high artistic values.” Dutton’s argument has recently been reiterated and refined by a number of new books,

“The universality of art and artistic behaviors, their spontaneous appearance everywhere across the globe ... and the fact that in most cases they can be easily recognized as artistic across cultures suggest that they derive from a natural, innate source: a universal human psychology.”

Again like language, art is universal in the sense that any local expression of it can be “learned” by anyone.

Yet earlier theorists of evolution were reluctant to say that art was an evolutionary adaptation like language, for the simple reason that it does not appear to be evolutionarily adaptive.

Stephen Jay Gould suggested that art was not an evolutionary adaptation but what he called a “spandrel”—that is, a showy but accidental by-product of other adaptations that were truly functiona

the very words “success” and “failure,” despite themselves, bring an emotive and ethical dimension into the discussion, so impossible is it for human beings to inhabit a valueless world. In the nineteenth century, the idea that fitness for survival was a positive good motivated social Darwinism and eugenics. Proponents of these ideas thought that in some way they were serving progress by promoting the flourishing of the human race, when the basic premise of Darwinism is that there is no such thing as progress or regress, only differential rates of reproduction

In particular, Darwin suggests that it is impossible to explain the history or the conventions of any art by the general imperatives of evolution

Boyd begins with the premise that human beings are pattern-seeking animals: both our physical perceptions and our social interactions are determined by our brain’s innate need to find and to

Art, then, can be defined as the calisthenics of pattern-finding. “Just as animal physical play refines performance, flexibility, and efficiency in key behaviors,” Boyd writes, “so human art refines our performance in our key perceptual and cognitive modes, in sight (the visual arts), sound (music), and social cognition (story). These three modes of art, I propose, are adaptations ... they show evidence of special design in humans, design that offers survival and especially reproductive advantages.”

make coherent patterns

Dozens of popular books by nonexperts have filled the void, many claiming that IQ—which after more than a century remains the dominant metric for intelligence—predicts nothing important or that intelligence is simply too complex and subtle to be measured.

evidence points toward a strong genetic component in IQ. Based on studies of twins, siblings, and adoption, contemporary estimates put the heritability of IQ at 50 to 80 percent

intelligence has a genetic recipe

“Do you know any Perl?” Li asked him. Perl is a programming language often used to analyze genomic data. Zhao admitted he did not; in fact, he had no programming skills at all. Li handed him a massive textbook, Programming Perl. There were only two weeks left in the camp, so this would get rid of the kid for good. A few days later, Zhao returned. “I finished it,” he said. “The problems are kind of boring. Do you have anything harder?” Perl is a famously complicated language that takes university students a full year to learn.

So Li gave him a large DNA data set and a complicated statistical problem. That should do it. But Zhao returned later that day. “Finished.” Not only was it finished—and correct—but Zhao had even built a slick interface on top of the data.

driven by a fascination with kids who are born smart; he wants to know what makes them—and by extension, himself—the way they are.

Language evolved to solve the crisis of visual theft and to exploit cooperation and exchange

Humans use discrete pulses of sound -- their language -- to alter the internal settings inside someone else's brain to suit an individual's interests. Because language is not a solitary pursuit, language is a form of social learning.

thousands of languages evolved

Can humans afford to have all these different languages, asks Professor Pagel. In a world where we want to promote cooperation, in a world that is more dependent than ever on cooperation to maintain and enhance humanity's levels of prosperity, multiple languages may not be practical.

languages reflect the myriad ways that the human mind perceives and responds to the world, and to lose any of them is to (slightly) diminish and limit the variety and expressive depth of human intellectual, creative and experiential capacity.