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The first steps to answering these questions were taken almost a century ago, at the height of the American Jazz Age. At the time, the new-fangled IQ test was gaining traction, after proving itself in World War One recruitment centres, and in 1926, psychologist Lewis Terman decided to use it to identify and study a group of gifted children. Combing California’s schools for the creme de la creme, he selected 1,500 pupils with an IQ of 140 or more – 80 of whom had IQs above 170. Together, they became known as the “Termites”, and the highs and lows of their lives are still being studied to this day.

Sleep. Parents crave it, but children and especially teenagers, need it. When educators and policymakers debate the relationship between sleep schedules and school performance and — given the constraints of buses, sports and everything else that seem so much more important — what they should do about it, they miss an intimate biological fact: Sleep is learning, of a very specific kind. Scientists now argue that a primary purpose of sleep is learning consolidation, separating the signal from the noise and flagging what is most valuable. School schedules change slowly, if at all, and the burden of helping teenagers get the sleep they need is squarely on parents. Can we help our children learn to exploit sleep as a learning tool (while getting enough of it)? Absolutely. There is research suggesting that different kinds of sleep can aid different kinds of learning, and by teaching “sleep study skills,” we can let our teenagers enjoy the sense that they’re gaming the system.

But worrying about data is probably just a distraction, because, ultimately, “pet” is a relative term—there are more fish in our home aquariums than there are pet dogs, and any category that lumps the two together feels inadequate.

Rabbits, as this passer-by is implying, are widely consumed in other countries. Western Europeans love rabbit sausage, slow-cooked rabbit stews, and braised bunny dishes, while the Chinese—who account for 30% of global rabbit consumption—consider rabbit’s head a delicacy. + Rabbit was even a staple of the American diet at one time. It helped sustain the European transplants who migrated west across the frontier, and during World War II, eating rabbit was promoted as an act of patriotism akin to growing a victory garden. But as small farms gave way to large-scale operations, rabbit meat’s popularity melted away and other meats took over.

Herzog started thinking about this 20 years ago, when he was sitting in a hotel bar having a beer with the psychologist and animal rights activist, Ken Shapiro. Herzog knew Shapiro was a vegan; Shapiro knew Herzog ate meat. Both men had read all of the same psychology and animal-rights literature, and both spent a lot of time working through the same philosophical questions. But somehow, they came to different conclusions about how to live their lives. + “Hal, I don’t get it: why aren’t you like us?” Shapiro suddenly asked. Herzog didn’t have an answer. He still doesn’t. + “I’ve been struggling with this for a long time,” Herzog says. “I can handle moral ambiguity. I can deal with it. So I don’t have that need for moral consistency that animal activists do.” He laughs a little. “And I know that their logic is better than mine, so I don’t even try arguing with them. They win in these arguments.” +

Last month, Brendan Nyhan, a professor of political science at Dartmouth, published the results of a study that he and a team of pediatricians and political scientists had been working on for three years. They had followed a group of almost two thousand parents, all of whom had at least one child under the age of seventeen, to test a simple relationship: Could various pro-vaccination campaigns change parental attitudes toward vaccines? Each household received one of four messages: a leaflet from the Centers for Disease Control and Prevention stating that there had been no evidence linking the measles, mumps, and rubella (M.M.R.) vaccine and autism; a leaflet from the Vaccine Information Statement on the dangers of the diseases that the M.M.R. vaccine prevents; photographs of children who had suffered from the diseases; and a dramatic story from a Centers for Disease Control and Prevention about an infant who almost died of measles. A control group did not receive any information at all. The goal was to test whether facts, science, emotions, or stories could make people change their minds. The result was dramatic: a whole lot of nothing. None of the interventions worked.

Five years ago, Google — one of the most public proselytizers of how studying workers can transform productivity — became focused on building the perfect team. In the last decade, the tech giant has spent untold millions of dollars measuring nearly every aspect of its employees’ lives. Google’s People Operations department has scrutinized everything from how frequently particular people eat together (the most productive employees tend to build larger networks by rotating dining companions) to which traits the best managers share (unsurprisingly, good communication and avoiding micromanaging is critical; more shocking, this was news to many Google managers).The company’s top executives long believed that building the best teams meant combining the best people. They embraced other bits of conventional wisdom as well, like ‘‘It’s better to put introverts together,’’ said Abeer Dubey, a manager in Google’s People Analytics division, or ‘‘Teams are more effective when everyone is friends away from work.’’ But, Dubey went on, ‘‘it turned out no one had really studied which of those were true.’’In 2012, the company embarked on an initiative — code-named Project Aristotle — to study hundreds of Google’s teams and figure out why some stumbled while others soared.

Peter Godfrey-Smith, the author of “Theory and Reality: An Introduction to the Philosophy of Science,” has been thinking about how people can avoid the misunderstanding embedded in the phrase, “It’s only a theory.” Advertisement Continue reading the main story It’s helpful, he argues, to think about theories as being like maps.“To say something is a map is not to say it’s a hunch,” said Dr. Godfrey-Smith, a professor at the City University of New York and the University of Sydney. “It’s an attempt to represent some territory.”A theory, likewise, represents a territory of science. Instead of rivers, hills, and towns, the pieces of the territory are facts.“To call something a map is not to say anything about how good it is,” Dr. Godfrey-Smith added. “There are fantastically good maps where there’s not a shred of doubt about their accuracy. And there are maps that are speculative.”To judge a map’s quality, we can see how well it guides us through its territory. In a similar way, scientists test out new theories against evidence. Just as many maps have proven to be unreliable, many theories have been cast aside.But other theories have become the foundation of modern science, such as the theory of evolution, the general theory of relativity, the theory of plate tectonics, the theory that the sun is at the center of the solar system, and the germ theory of disease.“To the best of our ability, we’ve tested them, and they’ve held up,” said Dr. Miller. “And that’s why we’ve held on to these things.”

What, really, would Maria Montessori have made of this scene? The 30 or so children here were not down at the shore poking their fingers in the sand or running them along mossy stones or digging for hermit crabs. Instead they were all inside, alone or in groups of two or three, their faces a few inches from a screen, their hands doing things Montessori surely did not imagine. A couple of 3-year-old girls were leaning against a pair of French doors, reading an interactive story called Ten Giggly Gorillas and fighting over which ape to tickle next. A boy in a nearby corner had turned his fingertip into a red marker to draw an ugly picture of his older brother. On an old oak table at the front of the room, a giant stuffed Angry Bird beckoned the children to come and test out tablets loaded with dozens of new apps. Some of the chairs had pillows strapped to them, since an 18-month-old might not otherwise be able to reach the table, though she’d know how to swipe once she did.

For most of the past century, drugs approved and released to market have been tested only on male patients, leading to improper dosing and unacceptable side effects for women. The important physiological differences between men and women have only recently been taken into consideration in medical research. Emergency doctor Alyson McGregor studies these differences, and in this fascinating talk she discusses the history behind how the male model became our framework for medical research and how understanding differences between men and women can lead to more effective treatments for both sexes

Occasionally, I come across the term “designer baby,” and I am reminded that some parents now have the option to screen or modify the genes of their unborn children to ensure or avoid certain traits. It always gives me a feeling of unease. Obviously, I did not take this route — partly because, at least with my son, I never had to actually make the decision. My third child, Eliza, was a late midlife accident. I chose to have her despite the possibility she would have XLH, but would I have made the same decision in a planned pregnancy or if given a choice much earlier in the process? I can’t help suspecting that because of advances in genetic mapping, genetic testing, the sheer range of prenatal choices, chances are that in a generation or two, there will be no one in the world who has XLH, no one who looks like me or my children — at least not in the so-called developed world — and I don’t know how to feel about that.

Each scientific field must adopt its own methods of ensuring accuracy. But ultimately, this self-reflection is a key part of the scientific process. As Bishop notes, “Science has proved itself to be an incredibly powerful method.” And yet there’s always room for further advancement. “There’s never an end point,” says Bishop. “We’re always groping towards the next thing. Sometimes science does disappear down the wrong path for a bit before it corrects itself.” For Nosek, who led the re-testing of 100 psychology papers, the current focus on reproducibility is simply part of the scientific process. “Science isn’t about truth and falsity, it’s about reducing uncertainty,” he says. “Really this whole project is science on science: Researchers doing what science is supposed to do, which is be skeptical of our own process, procedure, methods, and look for ways to improve.”

I think most philosophers of science would say that all scientific generalizations are probabilistic rather than logically certain, more so for the social sciences because the systems you are studying are more complex than, say, molecules, and because there are fewer opportunities to intervene experimentally and to control every variable. But the exis­tence of the social sciences, including psychology, to the extent that they have discovered anything, shows that, despite the uncontrollability of human behavior, you can make some progress: you can do your best to control the nuisance variables that are not literally in your control; you can have analogues in a laboratory that simulate what you’re interested in and impose an experimental manipulation. You can be clever about squeezing the last drop of causal information out of a correlational data set, and you can use converging evi­dence, the qualitative narratives of traditional history in combination with quantitative data sets and regression analyses that try to find patterns in them. But I also go to traditional historical narratives, partly as a sanity check. If you’re just manipulating numbers, you never know whether you’ve wan­dered into some preposterous conclusion by taking numbers too seriously that couldn’t possibly reflect reality. Also, it’s the narrative history that provides hypotheses that can then be tested. Very often a historian comes up with some plausible causal story, and that gives the social scientists something to do in squeezing a story out of the numbers.

I’ve been astonished at how many people fail to appreciate the athletic significance of this. Remember, this is a competitive issue, not a human-rights issue. No one is saying that Semenya isn’t a woman, a human being, and an individual deserving of our full respect.

Why are identical twins alike? In the late nineteen-seventies, a team of scientists in Minnesota set out to determine how much these similarities arose from genes, rather than environments—from “nature,” rather than “nurture.” Scouring thousands of adoption records and news clips, the researchers gleaned a rare cohort of fifty-six identical twins who had been separated at birth. Reared in different families and different cities, often in vastly dissimilar circumstances, these twins shared only their genomes. Yet on tests designed to measure personality, attitudes, temperaments, and anxieties, they converged astonishingly. Social and political attitudes were powerfully correlated: liberals clustered with liberals, and orthodoxy was twinned with orthodoxy. The same went for religiosity (or its absence), even for the ability to be transported by an aesthetic experience. Two brothers, separated by geographic and economic continents, might be brought to tears by the same Chopin nocturne, as if responding to some subtle, common chord struck by their genomes.