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it’s important not to lose focus on the fact that for all its problems, our modern food system has us living longer and less deprived than centuries past. The challenge is striking balance.

whole grains have consistently shown to be parts of the diets of the longest-lived, healthiest people.

Changing the way we eat is a major change. It will involve multiple decisions every day. Presumably our old habits existed for reasons—convenience, enjoyment, availability, cost, marketing, etc. Modifying the habits that these conditions created means hard work and requires dedication to a cause. I’m not convinced that concern for the health of our bodies years in the future is sufficient.

Viktor Frankl wrote in Man’s Search for Meaning that the key is to avoid the temptation to pursue happiness—like that being sold to us through all of the new-year deals—but to pursue meaning. Piles of research have shown that a sense of purpose is a central to long, healthy life.

There’s purpose to be had in how we eat—in how conscientious we can be, how minimally we can disrupt the world for those that will come after us and those working to produce and procure our food. I think this is a sustainable and worthy resolution for a healthier way to eat, if you’re intent on making one. It works for the mind and body at once, and, most importantly, not just our own.

Liu’s tomes—they tend to be tomes—have been translated into more than twenty languages, and the trilogy has sold some eight million copies worldwide. He has won China’s highest honor for science-fiction writing, the Galaxy Award, nine times, and in 2015 he became the first Asian writer to win the Hugo Award, the most prestigious international science-fiction prize

“The Three-Body Problem” takes its title from an analytical problem in orbital mechanics which has to do with the unpredictable motion of three bodies under mutual gravitational pull. Reading an article about the problem, Liu thought, What if the three bodies were three suns? How would intelligent life on a planet in such a solar system develop? From there, a structure gradually took shape that almost resembles a planetary system, with characters orbiting the central conceit like moons. For better or worse, the characters exist to support the framework of the story rather than to live as individuals on the page.

Concepts that seemed abstract to others took on, for him, concrete forms; they were like things he could touch, inducing a “druglike euphoria.” Compared with ordinary literature, he came to feel, “the stories of science are far more magnificent, grand, involved, profound, thrilling, strange, terrifying, mysterious, and even emotional

Pragmatic choices like this one, or like the decision his grandparents made when their sons were conscripted, recur in his fiction—situations that present equally unconscionable choices on either side of a moral fulcrum

The great flourishing of science fiction in the West at the end of the nineteenth century occurred alongside unprecedented technological progress and the proliferation of the popular press—transformations that were fundamental to the development of the genre

Joel Martinsen, the translator of the second volume of Liu’s trilogy, sees the series as a continuation of this tradition. “It’s not hard to read parallels between the Trisolarans and imperialist designs on China, driven by hunger for resources and fear of being wiped out,” he told me. Even Liu, unwilling as he is to endorse comparisons between the plot and China’s current face-off with the U.S., did at one point let slip that “the relationship between politics and science fiction cannot be underestimated.”

Speculative fiction is the art of imagining alternative worlds, and the same political establishment that permits it to be used as propaganda for the existing regime is also likely to recognize its capacity to interrogate the legitimacy of the status quo.

Liu has been criticized for peopling his books with characters who seem like cardboard cutouts installed in magnificent dioramas. Liu readily admits to the charge. “I did not begin writing for love of literature,” he told me. “I did so for love of science.”

Liu believes that this trend signals a deeper shift in the Chinese mind-set—that technological advances have spurred a new excitement about the possibilities of cosmic exploration.

Liu’s imagination is dauntingly capacious, his narratives conceived on a scale that feels, at times, almost hallucinogenic. The time line of the trilogy spans 18,906,450 years, encompassing ancient Egypt, the Qin dynasty, the Byzantine Empire, the Cultural Revolution, the present, and a time eighteen million years in the future

The first book is set on Earth, though some of its scenes take place in virtual reality; by the end of the third book, the scope of the action is interstellar and annihilation unfolds across several dimensions. The London Review of Books has called the trilogy “one of the most ambitious works of science fiction ever written.”

Although physics furnishes the novels’ premises, it is politics that drives the plots. At every turn, the characters are forced to make brutal calculations in which moral absolutism is pitted against the greater good

In Liu’s fictional universe, idealism is fatal and kindness an exorbitant luxury. As one general says in the trilogy, “In a time of war, we can’t afford to be too scrupulous.” Indeed, it is usually when people do not play by the rules of Realpolitik that the most lives are lost.

“I know what you are thinking,” he told me with weary clarity. “What about individual liberty and freedom of governance?” He sighed, as if exhausted by a debate going on in his head. “But that’s not what Chinese people care about. For ordinary folks, it’s the cost of health care, real-estate prices, their children’s education. Not democracy.”

Liu closed his eyes for a long moment and then said quietly, “This is why I don’t like to talk about subjects like this. The truth is you don’t really—I mean, can’t truly—understand.”

Liu explained to me, the existing regime made the most sense for today’s China, because to change it would be to invite chaos. “If China were to transform into a democracy, it would be hell on earth,”

It was an opinion entirely consistent with his systems-level view of human societies, just as mine reflected a belief in democracy and individualism as principles to be upheld regardless of outcomes

“I cannot escape and leave behind reality, just like I cannot leave behind my shadow. Reality brands each of us with its indelible mark. Every era puts invisible shackles on those who have lived through it, and I can only dance in my chains.

Chinese people of his generation were lucky, he said. The changes they had seen were so huge that they now inhabited a world entirely different from that of their childhood. “China is a futuristic country,” he said. “I realized that the world around me became more and more like science fiction, and this process is speeding up.”

“We have statues of a few martyrs, but we never—We don’t memorialize those, the individuals.” He took off his glasses and blinked, peering into the wide expanse of green and concrete. “This is how we Chinese have always been,” he said. “When something happens, it passes, and time buries the stories.”

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The researchers collected over five years of data from over a million runners, who collectively clocked in nearly 225 million miles. 

They noticed similar training patterns even if the runners were separated.

Weather, it turns out, did not dissuade one friend who saw their counterpart clocking in an extra ten minutes that day.

Risk of lagging behind proved to be a necessary catalyst for upping the ante. 

Which, obviously, is in good humor. But it helps.

the trends persisted, across several years and a series of national surveys. The changes weren’t just in degree, but in kind.

The biggest difference between the Millennials and their predecessors was in how they viewed the world; teens today differ from the Millennials not just in their views but in how they spend their time. The experiences they have every day are radically different from those of the generation that came of age just a few years before them.

it was exactly the moment when the proportion of Americans who owned a smartphone surpassed 50 percent.

theirs is a generation shaped by the smartphone and by the concomitant rise of social media. I call them iGen

Born between 1995 and 2012, members of this generation are growing up with smartphones, have an Instagram account before they start high school, and do not remember a time before the internet.

iGen’s oldest members were early adolescents when the iPhone was introduced, in 2007, and high-school students when the iPad entered the scene, in 2010. A 2017 survey of more than 5,000 American teens found that three out of four owned an iPhone.

. I had grown accustomed to line graphs of trends that looked like modest hills and valleys. Then I began studying Athena’s generation.

More comfortable in their bedrooms than in a car or at a party, today’s teens are physically safer than teens have ever been. They’re markedly less likely to get into a car accident and, having less of a taste for alcohol than their predecessors, are less susceptible to drinking’s attendant ills.

Psychologically, however, they are more vulnerable than Millennials were: Rates of teen depression and suicide have skyrocketed since 2011. It’s not an exaggeration to describe iGen as being on the brink of the worst mental-health crisis in decades. Much of this deterioration can be traced to their phones.

the twin rise of the smartphone and social media has caused an earthquake of a magnitude we’ve not seen in a very long time, if ever. There is compelling evidence that the devices we’ve placed in young people’s hands are having profound effects on their lives—and making them seriously unhappy.

But the allure of independence, so powerful to previous generations, holds less sway over today’s teens, who are less likely to leave the house without their parents. The shift is stunning: 12th-graders in 2015 were going out less often than eighth-graders did as recently as 2009.

Today’s teens are also less likely to date. The initial stage of courtship, which Gen Xers called “liking” (as in “Ooh, he likes you!”), kids now call “talking”—an ironic choice for a generation that prefers texting to actual conversation. After two teens have “talked” for a while, they might start dating.

only about 56 percent of high-school seniors in 2015 went out on dates; for Boomers and Gen Xers, the number was about 85 percent.

The decline in dating tracks with a decline in sexual activity. The drop is the sharpest for ninth-graders, among whom the number of sexually active teens has been cut by almost 40 percent since 1991. The average teen now has had sex for the first time by the spring of 11th grade, a full year later than the average Gen Xer

The teen birth rate hit an all-time low in 2016, down 67 percent since its modern peak, in 1991.

Nearly all Boomer high-school students had their driver’s license by the spring of their senior year; more than one in four teens today still lack one at the end of high school.

In conversation after conversation, teens described getting their license as something to be nagged into by their parents—a notion that would have been unthinkable to previous generations.

In the late 1970s, 77 percent of high-school seniors worked for pay during the school year; by the mid-2010s, only 55 percent did. The number of eighth-graders who work for pay has been cut in half.

Beginning with Millennials and continuing with iGen, adolescence is contracting again—but only because its onset is being delayed. Across a range of behaviors—drinking, dating, spending time unsupervised— 18-year-olds now act more like 15-year-olds used to, and 15-year-olds more like 13-year-olds. Childhood now stretches well into high school.

In an information economy that rewards higher education more than early work history, parents may be inclined to encourage their kids to stay home and study rather than to get a part-time job. Teens, in turn, seem to be content with this homebody arrangement—not because they’re so studious, but because their social life is lived on their phone. They don’t need to leave home to spend time with their friends.

eighth-, 10th-, and 12th-graders in the 2010s actually spend less time on homework than Gen X teens did in the early 1990s.

The time that seniors spend on activities such as student clubs and sports and exercise has changed little in recent years. Combined with the decline in working for pay, this means iGen teens have more leisure time than Gen X teens did, not less.

So what are they doing with all that time? They are on their phone, in their room, alone and often distressed.

despite spending far more time under the same roof as their parents, today’s teens can hardly be said to be closer to their mothers and fathers than their predecessors were. “I’ve seen my friends with their families—they don’t talk to them,” Athena told me. “They just say ‘Okay, okay, whatever’ while they’re on their phones. They don’t pay attention to their family.” Like her peers, Athena is an expert at tuning out her parents so she can focus on her phone.

The number of teens who get together with their friends nearly every day dropped by more than 40 percent from 2000 to 2015; the decline has been especially steep recently.

Eighth-graders who are heavy users of social media increase their risk of depression by 27 percent, while those who play sports, go to religious services, or even do homework more than the average teen cut their risk significantly.

The roller rink, the basketball court, the town pool, the local necking spot—they’ve all been replaced by virtual spaces accessed through apps and the web.

The results could not be clearer: Teens who spend more time than average on screen activities are more likely to be unhappy, and those who spend more time than average on nonscreen activities are more likely to be happy.

There’s not a single exception. All screen activities are linked to less happiness, and all nonscreen activities are linked to more happiness

Eighth-graders who spend 10 or more hours a week on social media are 56 percent more likely to say they’re unhappy than those who devote less time to social media

If you were going to give advice for a happy adolescence based on this survey, it would be straightforward: Put down the phone, turn off the laptop, and do something—anything—that does not involve a screen

Social-networking sites like Facebook promise to connect us to friends. But the portrait of iGen teens emerging from the data is one of a lonely, dislocated generation. Teens who visit social-networking sites every day but see their friends in person less frequently are the most likely to agree with the statements “A lot of times I feel lonely,” “I often feel left out of things,” and “I often wish I had more good friends.” Teens’ feelings of loneliness spiked in 2013 and have remained high since.

This doesn’t always mean that, on an individual level, kids who spend more time online are lonelier than kids who spend less time online.

Teens who spend more time on social media also spend more time with their friends in person, on average—highly social teens are more social in both venues, and less social teens are less so.

The more time teens spend looking at screens, the more likely they are to report symptoms of depression.

It’s not only a matter of fewer kids partying; fewer kids are spending time simply hanging out

Teens who spend three hours a day or more on electronic devices are 35 percent more likely to have a risk factor for suicide, such as making a suicide plan. (That’s much more than the risk related to, say, watching TV.)

Since 2007, the homicide rate among teens has declined, but the suicide rate has increased. As teens have started spending less time together, they have become less likely to kill one another, and more likely to kill themselves. In 2011, for the first time in 24 years, the teen suicide rate was higher than the teen homicide rate.

For all their power to link kids day and night, social media also exacerbate the age-old teen concern about being left out.

Today’s teens may go to fewer parties and spend less time together in person, but when they do congregate, they document their hangouts relentlessly—on Snapchat, Instagram, Facebook. Those not invited to come along are keenly aware of it. Accordingly, the number of teens who feel left out has reached all-time highs across age groups.

Forty-eight percent more girls said they often felt left out in 2015 than in 2010, compared with 27 percent more boys. Girls use social media more often, giving them additional opportunities to feel excluded and lonely when they see their friends or classmates getting together without them.

Social media levy a psychic tax on the teen doing the posting as well, as she anxiously awaits the affirmation of comments and likes. When Athena posts pictures to Instagram, she told me, “I’m nervous about what people think and are going to say. It sometimes bugs me when I don’t get a certain amount of likes on a picture.”

Girls have also borne the brunt of the rise in depressive symptoms among today’s teens. Boys’ depressive symptoms increased by 21 percent from 2012 to 2015, while girls’ increased by 50 percent—more than twice as much

The rise in suicide, too, is more pronounced among girls. Although the rate increased for both sexes, three times as many 12-to-14-year-old girls killed themselves in 2015 as in 2007, compared with twice as many boys

Social media give middle- and high-school girls a platform on which to carry out the style of aggression they favor, ostracizing and excluding other girls around the clock.

I asked my undergraduate students at San Diego State University what they do with their phone while they sleep. Their answers were a profile in obsession. Nearly all slept with their phone, putting it under their pillow, on the mattress, or at the very least within arm’s reach of the bed. They checked social media right before they went to sleep, and reached for their phone as soon as they woke up in the morning

the smartphone is cutting into teens’ sleep: Many now sleep less than seven hours most nights. Sleep experts say that teens should get about nine hours of sleep a night; a teen who is getting less than seven hours a night is significantly sleep deprived

Fifty-seven percent more teens were sleep deprived in 2015 than in 1991. In just the four years from 2012 to 2015, 22 percent more teens failed to get seven hours of sleep.

Two national surveys show that teens who spend three or more hours a day on electronic devices are 28 percent more likely to get less than seven hours of sleep than those who spend fewer than three hours, and teens who visit social-media sites every day are 19 percent more likely to be sleep deprived.

Teens who read books and magazines more often than the average are actually slightly less likely to be sleep deprived—either reading lulls them to sleep, or they can put the book down at bedtime.

Sleep deprivation is linked to myriad issues, including compromised thinking and reasoning, susceptibility to illness, weight gain, and high blood pressure. It also affects mood: People who don’t sleep enough are prone to depression and anxiety.

correlations between depression and smartphone use are strong enough to suggest that more parents should be telling their kids to put down their phone.

What’s at stake isn’t just how kids experience adolescence. The constant presence of smartphones is likely to affect them well into adulthood. Among people who suffer an episode of depression, at least half become depressed again later in life. Adolescence is a key time for developing social skills; as teens spend less time with their friends face-to-face, they have fewer opportunities to practice them

Significant effects on both mental health and sleep time appear after two or more hours a day on electronic devices. The average teen spends about two and a half hours a day on electronic devices. Some mild boundary-setting could keep kids from falling into harmful habits.

And the device can already be of use as a diagnostic tool for ascertaining whether ALS patients and others are in a truly vegetative state, or simply unable to communicate.

living organisms concentrate carbon-12 in their cells—and when they die, that signature persists. When scientists find graphite that’s especially enriched in carbon-12, relative to carbon-13, they can deduce that living things were around when that graphite was first formed. And that’s exactly what the Tokyo team found in the Saglek Block—grains of graphite, enriched in carbon-12, encased within 3.95-billion-year-old rock.

the team calculated the graphite was created at temperatures between 536 and 622 Celsius—a range that’s consistent with the temperatures at which the surrounding metamorphic rocks were transformed. This suggests that the graphite was already there when the rocks were heated and warped, and didn’t sneak in later. It was truly OG—original graphite.

Still, all of this evidence suggests Earth was home to life during its hellish infancy, and that such life abounded in a variety of habitats. Those pioneering organisms—bacteria, probably—haven’t left any fossils behind. But Sano and Komiya hope to find some clues about them by analyzing the Saglek Block rocks. The levels of nitrogen, iron, and sulfur in the rocks could reveal which energy sources those organisms exploited, and which environments they inhabited. They could tell us how life first lived.

We were led to wonder whether a broken robot can break a child.

Kids are central to the sociable-robot project, because its agenda is to make people more comfortable with robots in roles normally reserved for humans, and robotics companies know that children are vulnerable consumers who can bring the whole family along.

In October, Mattel scrapped plans for Aristotle — a kind of Alexa for the nursery, designed to accompany children as they progress from lullabies and bedtime stories through high school homework — after lawmakers and child advocacy groups argued that the data the device collected about children could be misused by Mattel, marketers, hackers and other third parties. I was part of that campaign: There is something deeply unsettling about encouraging children to confide in machines that are in turn sharing their conversations with countless others.

Recently, I opened my MIT mail and found a “call for subjects” for a study involving sociable robots that will engage children in conversation to “elicit empathy.” What will these children be empathizing with, exactly? Empathy is a capacity that allows us to put ourselves in the place of others, to know what they are feeling. Robots, however, have no emotions to share

What they can do is push our buttons. When they make eye contact and gesture toward us, they predispose us to view them as thinking and caring. They are designed to be cute, to provoke a nurturing response. And when it comes to sociable AI, nurturance is the killer app: We nurture what we love, and we love what we nurture. If a computational object or robot asks for our help, asks us to teach it or tend to it, we attach. That is our human vulnerability.

digital companions don’t understand our emotional lives. They present themselves as empathy machines, but they are missing the essential equipment: They have not known the arc of a life. They have not been born; they don’t know pain, or mortality, or fear. Simulated thinking may be thinking, but simulated feeling is never feeling, and simulated love is never love.

Breazeal’s position is this: People have relationships with many classes of things. They have relationships with children and with adults, with animals and with machines. People, even very little people, are good at this. Now, we are going to add robots to the list of things with which we can have relationships. More powerful than with pets. Less powerful than with people. We’ll figure it out.

The nature of the attachments to dolls and sociable machines is different. When children play with dolls, they project thoughts and emotions onto them. A girl who has broken her mother’s crystal will put her Barbies into detention and use them to work on her feelings of guilt. The dolls take the role she needs them to take.

Sociable machines, by contrast, have their own agenda. Playing with robots is not about the psychology of projection but the psychology of engagement. Children try to meet the robot’s needs, to understand the robot’s unique nature and wants. There is an attempt to build a mutual relationship.

Some people might consider that a good thing: encouraging children to think beyond their own needs and goals. Except the whole commercial program is an exercise in emotional deception.

when we offer these robots as pretend friends to our children, it’s not so clear they can wink with us. We embark on an experiment in which our children are the human subjects.

it is hard to imagine what those “right types” of ties might be. These robots can’t be in a two-way relationship with a child. They are machines whose art is to put children in a position of pretend empathy. And if we put our children in that position, we shouldn’t expect them to understand what empathy is. If we give them pretend relationships, we shouldn’t expect them to learn how real relationships — messy relationships — work. On the contrary. They will learn something superficial and inauthentic, but mistake it for real connection.

In the process, we can forget what is most central to our humanity: truly understanding each other.

For so long, we dreamed of artificial intelligence offering us not only instrumental help but the simple salvations of conversation and care. But now that our fantasy is becoming reality, it is time to confront the emotional downside of living with the robots of our dreams.

Since NAGPRA passed in 1990, the National Park Service estimates over 50,000 sets of human remains have been repatriated in the United States.

Museums in the U.S. and Europe have collected and studied human remains for well over a century, with the practice gaining considerable momentum after the Civil War.

. The skeletons provided better data about diseases and migration, as well as information about historic diet, with potential impact for living populations.

For them, data gathering was simply not a priority. Instead, they sought to return their ancestors to the earth.

Presenting human remains as purely scientific specimens and historical curiosities hurt living descendants by treating entire populations as scientific resources rather than human beings. And by focusing mainly on nonwhite groups, the practice reinforced in subtle and direct ways the scientific racism permeating the era.

Hidden away from public view, the prehistoric remains were anything but forgotten. Many indigenous people came to view Kennewick Man as a symbol for the failings of the new NAGPRA law.

Last year, genetic testing finally proved something many people had suggested for some time: Kennewick Man is more closely related to Native Americans than any other living human group.

By some estimates, museums today house more than half a million individual Native American remains. Probably hundreds if not thousands of sets of skeletal remains will face these big questions in the coming decades.

Indicative of changing attitudes and ethical approaches to museum exhibition, recent calls to display Kennewick Man’s remains have largely been rebuked, despite potential for engaging large audiences.

Kennewick Man may be among the most high-profile cases of human remains going under the microscope – both in terms of the scientific study he was subject to and the intensity of the debate surrounding him – but he is certainly far from alone.

Even if the doctors couldn’t pin down what was going on with me, I was so alarmed by my symptoms and the doctors’ gravest guesses that I felt anxious about whether or not I would have a future.

What was certain is that I was shrinking. Rapidly, uncontrollably.

My clothes hung loose at the waist and sloughed off my shoulders as if they belonged to a stranger, so I bought a stranger’s dress. Kate Spade, $348 retail.

I found it for $50 at an online designer consignment store while on hold with the hospital; a nurse was checking on the results of my bone marrow biopsy.

Online shopping was the sort of thing one might do if she were on hold with her cable company, not awaiting a possible blood cancer diagnosis.

I filled my cart with a cobalt dress, a blush silk blouse, a slinky skirt.

On paper, the doctors said, it looked like it could be lymphoma. The symptoms were classic: fever, night sweats, weight loss.

A biopsy of my enlarged lymph node showed it to be benign.

Two weeks earlier, a doctor had taken a surgical drill to my hip and hollowed out my bones with a syringe fit for a large horse. “Painful” was a deficient descriptor.

“I just don’t know what else to do,” my doctor said.

I sat still while my insides turned over. A cold sweat crept across my face. I closed my eyes, shook my head and returned to my shopping cart. I was not going to dwell.

No — I was going to shop. I was going to shop until I could think of nothing else. I punched in my credit card number and bought the Kate Spade.

Then I rushed to my closet, threw open the double doors and began rifling through Target impulse buys and ill-fitting hand-me-down

we’ll have to keep looking

I couldn’t breathe. I couldn’t do illness anymore. I could only do this.

I spun around in it, watching the hem rise and fall. Something about it made me feel less like a haggard patient and more like the kind of woman who went to cocktail parties dripping with perfume and family money.

Over the next few months, I made it my mission to build a new wardrobe from scratch. The process demanded every moment of my free time, every spare thought

We both knew it was impractical. The clothes were expensive and high maintenance, most of them over-the-top fancy for my modest life in nonprofit communications.

But they felt vital. I told myself I was overdue for some frivolity, that I deserved to treat myself.

For my next doctor’s appointment, I picked out a Valentino pencil skirt that fit snugly against my new, withered body.

I hurled the clothes into boxes and garbage bags. They smelled like the hospital, all burned coffee and antiseptic. I didn’t want them. I didn’t even want to look at them. I wanted silk. I wanted velvet.

“Can I see you again in six weeks? We can repeat blood work then and come up with a timeline for scans. Does that sound like an OK plan?”

“Just that I live here,” I said, gesturing at my body. “I have to live here.”

That night I ran my fingers through my hair, and a clump of blond strands fell loose into my palm. “It’s just stress,” I told my cat. I brushed my hands together, letting my hair fall into the trash, and returned to my shopping list.

Each one had lived a life before me. Now I held onto them in the dim light of my bedroom like tangible hope.

We’re forced to find hope in what we used to mock: God, the afterlife, miracles, hemp oil. Healing, by any means. Healing, against all odds.

After every appointment, after every failed attempt to name my illness, I would prop myself in bed, choose new dresses and think of all the places I would wear them.

The clothes promised me something the doctors, as they continue to search for a diagnosis, still can’t: an uncomplicated future. And I promised a future to the clothes.

This was their life after life. And they deserved that, didn’t they?

The irony gnawed at me: My entire vocation as an investigative reporter was predicated on being able to reveal truths, and yet I could not even rustle up the evidence to convince my own mother that our 45th president was not, in fact, the hero she believed him to be. Or, for that matter, that John F. Kennedy Jr. was dead. Or that Tom Hanks had not been executed for drinking the blood of children.

The theories spun from Q’s messages seemed much easier to disprove. Oprah Winfrey couldn’t have been detained during a wave of deep state arrests because we could still see her conducting live interviews on television. Trump’s 4th of July speech at Mount Rushmore came to an end without John F. Kennedy Jr. revealing he was alive and stepping in as the president’s new running mate. The widespread blackouts that her Patriot friend’s “source from the Pentagon” had warned about failed to materialize. And I could testify firsthand that the CIA had no control over my newsroom’s editorial decisions.

“I believe the Holy Spirit led me to the QAnons to discover the truth which is being suppressed,” she texted me. “Otherwise, how would I be able to know the truth if the lamestream media suppresses the truth?”

Through the years, I’d battled against conspiracy theories my mom threw at me that were far more formidable than QAnon. I’d been stumped when she asked me to prove that Beyoncé wasn’t an Illuminati member, dumbfounded when research studies I sent her weren’t enough to reach an agreement on vaccine efficacy, and too worn down to say anything more than “that’s not true” when confronted with false allegations of murders committed by prominent politicians.

Eventually, I accepted the impasse. It didn’t seem healthy that every conversation we had would devolve into a circuitous debate about which one of us was on the side of the bad guys. So I tried to pick my battles.

But what I had dismissed as damaging inconsistencies turned out to be the core strength of the belief system: It was alive, flexible, sprouting more questions than answers, more clues to study, an investigation playing out in real time, with the fate of the world at stake.

With no overlap between our filters of reality, I was at a loss for any facts that would actually stick.

Meanwhile, she wondered where she’d gone wrong with me

She regretted not taking politics more seriously when I was younger. I’d grown up blinkered by American privilege, trained to ignore the dirty machinations securing my comforts. My mom had shed that luxury long ago.

The year my mom began falling down QAnon rabbit holes, I turned the age she was when she first arrived in the States. By then, I was no longer sure that America was worth the cost of her migration. When the real estate market collapsed under the weight of Wall Street speculation, she had to sell our house at a steep loss to avoid foreclosure and her budding career as a realtor evaporated. Her near–minimum wage jobs weren’t enough to cover her bills, so her credit card debts rose. She delayed retirement plans because she saw no path to breaking even anytime soon, though she was hopeful that a turnaround was on the horizon. Through the setbacks and detours, she drifted into the arms of the people and beliefs I held most responsible for her troubles.

With a fervor I knew was futile, I’d tell my mom she was missing the real conspiracy: The powerful people shaping policy to benefit their own interests, to maintain wealth and white predominance, through tax cuts and voter suppression, were commandeering her support solely by catering to her stance on the one issue she cared most about.

The voice my mom trusted most now was Trump’s. Our disagreements were no longer ideological to her but part of a celestial conflict.

“I love you but you have to be on the side of good,” she texted me. “Im sad cuz u have become part of the deep state. May God have mercy on you...I pray you will see the truth of the evil agenda and be on the side of Trump.”

She likened her fellow Patriots to the early Christians who spread the word of Jesus at the risk of persecution. She often sent me a meme with a caption about “ordinary people who spent countless hours researching, debating, meditating and praying” for the truth to be revealed to them. “Although they were mocked, dismissed and cast off, they knew their souls had agreed long ago to do this work.”

Last summer, as my mom marched in a pink MAGA hat amid maskless crowds, and armed extremists stalked racial justice protests, and a disputed election loomed like a time bomb, I entertained my darkest thoughts about the fate of our country. Was there any hope in a democracy without a shared set of basic facts? Had my elders fled one authoritarian regime only for their children to face another? Amid the gloom, I found only a single morsel of solace: My mom was as hopeful as she’d ever been.

I wish I could offer some evidence showing that the gulf between us might be narrowing, that my love, persistence, and collection of facts might be enough to draw her back into a reality we share, and that when our wager about the storm comes due in a few months, she’ll realize that the voices she trusts have been lying to her. But I don’t think that will happen

What can I do but try to limit the damage? Send my mom movie recommendations to occupy the free time she instead spends on conspiracy research. Shift our conversations to the common ground of cooking recipes and family gossip. Raise objections when her beliefs nudge her toward dangerous decisions.

I now understand our debates as marks of the very bond I thought was disintegrating. No matter how far she believes I’ve fallen into the deep state, how hard I fight for the forces of evil, how imminent the grand plan’s rapture, my mom will be there on the other side of the line putting in a good word for me with the angels and saints, trying to save me from damnation. And those are the two realities we live in. ●

understand

now understand our debates as marks of the very bond I thought was disintegrating. No matter how far she believes I’ve fallen into the deep state, how hard I fight for the forces of evil, how imminent the grand plan’s rapture, my mom will be there on the other side of the line putting in a good word for me with the angels and saints, trying to save me from damnation. And those are the two realities we live in. ●

So it sounds like a simple fix: Impose more friction at the major platform level and you’ll clean up the public square.

But it’s not actually that simple because friction runs counter to the very idea of the internet.

The fundamental precept of the internet is that it reduces marginal costs to zero. And this fact is why the design paradigm of the internet is to continually reduce friction experienced by users to zero, too. Because if the second unit of everything is free, then the internet has a vested interest in pushing that unit in front of your eyeballs as smoothly as possible.

the internet is “broken,” but rather it’s been functioning exactly as it was designed to:

Perhaps more than any other job in the world, you do not want the President of the United States to live in a frictionless state of posting. The Presidency is not meant to be a frictionless position, and the United States government is not a frictionless entity, much to the chagrin of many who have tried to change it. Prior to this administration, decisions were closely scrutinized for, at the very least, legality, along with the impact on diplomacy, general norms, and basic grammar. This kind of legal scrutiny and due diligence is also a kind of friction--one that we now see has a lot of benefits. 

The deep lesson here isn’t about Donald Trump. It’s about the collision between the digital world and the real world.

In the real world, marginal costs are not zero. And so friction is a desirable element in helping to get to the optimal state. You want people to pause before making decisions.

described friction this summer as: “anything that inhibits user action within a digital interface, particularly anything that requires an additional click or screen.” For much of my time in the technology sector, friction was almost always seen as the enemy, a force to be vanquished. A “frictionless” experience was generally held up as the ideal state, the optimal product state.

Trump was riding the ultimate frictionless optimized engagement Twitter experience: he rode it all the way to the presidency, and then he crashed the presidency into the ground.

From a metrics and user point of view, the abstract notion of the President himself tweeting was exactly what Twitter wanted in its original platonic ideal. Twitter has been built to incentivize someone like Trump to engage and post

The other day we talked a little bit about how fighting disinformation, extremism, and online cults is like fighting a virus: There is no “cure.” Instead, what you have to do is create enough friction that the rate of spread becomes slow.

Our challenge is that when human and digital design comes into conflict, the artificial constraints we impose should be on the digital world to become more in service to us. Instead, we’ve let the digital world do as it will and tried to reconcile ourselves to the havoc it wreaks.

And one of the lessons of the last four years is that when you prize the digital design imperatives—lack of friction—over the human design imperatives—a need for friction—then bad things can happen.

We have an ongoing conflict between the design precepts of humans and the design precepts of computers.

Anyone who works with computers learns to fear their capacity to forget. Like so many things with computers, memory is strictly binary. There is either perfect recall or total oblivion, with nothing in between. It doesn't matter how important or trivial the information is. The computer can forget anything in an instant. If it remembers, it remembers for keeps.

This doesn't map well onto human experience of memory, which is fuzzy. We don't remember anything with perfect fidelity, but we're also not at risk of waking up having forgotten our own name. Memories tend to fade with time, and we remember only the more salient events.

And because we live in a time when storage grows ever cheaper, we learn to save everything, log everything, and keep it forever. You never know what will come in useful. Deleting is dangerous.

Our lives have become split between two worlds with two very different norms around memory.

[A] lot of what's wrong with the Internet has to do with memory. The Internet somehow contrives to remember too much and too little at the same time, and it maps poorly on our concepts of how memory should work.

The digital world is designed to never forget anything. It has perfect memory. Forever. So that one time you made a crude joke 20 years ago? It can now ruin your life.

Memory in the carbon-based world is imperfect. People forget things. That can be annoying if you’re looking for your keys but helpful if you’re trying to broker peace between two cultures. Or simply become a better person than you were 20 years ago.

The digital and carbon-based worlds have different design parameters. Marginal cost is one of them. Memory is another.

2. Forget Me Now

1. Fix Tech, Fix America

Anti-equality extremists are clearly targeting transgender people again to score political points by demonizing marginalized communities and mischaracterizing movements like Black Lives Matter.

We need to take action now to prove the anti-trans arguments are wrong and unjust, and to draw maximum attention to what Republican leaders in these states are trying to do.

there simply is not a sudden population explosion of trans people, nor any sort of demand for special or new rights. This is about fairness and equal treatment.

t has significant health and safety consequences, especially for trans youth.

This includes laws like those in Arkansas, where legislators have banned critical, gender-affirming medical care for transgender children,

Active resistance is needed from administrators within the education system who are tasked with enforcing discriminatory trans sports bans, which isolate and prevent trans students from playing sports on teams consistent with their gender identity.

which requires businesses with “formal or informal” policies of allowing transgender people to use the appropriate restroom to post offensive and humiliating signage

So far in 2021, we are on track to exceed the number of trans and gender-nonconforming people murdered in 2020

extremist legislators continue advancing measures at a breakneck pace

Sometimes we have to make uncomfortable decisions because we are pushed to the fringes.

Collective memory is similar, though its loss does not immediately paralyze everyday private activity. But ignorance of history-that is, absent or defective collective memory-does deprive us of the best available guide for public action, especially in encounters with outsider

Often it is enough for experts to know about outsiders, if their advice is listened to. But democratic citizenship and effective participation in the determination of public policy require citizens to share a collective memory, organized into historical knowledge and belief

This value of historical knowledge obviously justifies teaching and learning about what happened in recent times, for the way things are descends from the way they were yesterday and the day before that

in fact, institutions that govern a great deal of our everyday behavior took shape hundreds or even thousands of years ago

Only an acquaintance with the entire human adventure on earth allows us to understand these dimensions of contemporary reality.

it follows that study of history is essential for every young person.

Collective memory is quite the same. Historians are always at work reinterpreting the past, asking new questions, searching new sources and finding new meanings in old documents in order to bring the perspective of new knowledge and experience to bear on the task of understanding the past.

what we know and believe about history is always changing. In other words, our collective, codified memory alters with time just as personal memories do, and for the same reasons.

skeptics are likely to conclude that history has no right to take student time from other subjects. If what is taught today is not really true, how can it claim space in a crowded school curriculum?

what if the world is more complicated and diverse than words can ever tell? What if human minds are incapable of finding' neat pigeon holes into which everything that happens will fit?

What if we have to learn to live with uncertainty and probabilities, and act on the basis of the best guesswork we are capable of?

Then, surely, the changing perspectives of historical understanding are the very best introduction we can have to the practical problems of real life. Then, surely, a serious effort to understand the interplay of change and continuity in human affairs is the only adequate introduction human beings can have to the confusing flow of events that constitutes the actual, adult world.

Memory is not something fixed and forever. As time passes, remembered personal experiences take on new meanings.

Early in this century, teachers and academic administrators pretty well agreed that two sorts of history courses were needed: a survey of the national history of the United States and a survey of European history.

Memory, indeed, makes us human. History, our collective memory, carefully codified and critically revised, makes us social, sharing ideas and ideals with others so as to form all sorts of different human groups

The varieties of history are enormous; facts and probabilities about the past are far too numerous for anyone to comprehend them all. Every sort of human group has its own histor

Where to start? How bring some sort of order to the enormous variety of things known and believed about the past?

Systematic sciences are not enough. They discount time, and therefore oversimplify reality, especially human reality.

This second course was often broadened into a survey of Western civilization in the 1930s and 1940s

But by the 1960s and 1970s these courses were becoming outdated, left behind by the rise of new kinds social and quantitative history, especially the history of women, of Blacks, and of other formerly overlooked groups within the borders of the United States, and of peoples emerging from colonial status in the world beyond our borders.

much harder to combine old with new to make an inclusive, judiciously balanced (and far less novel) introductory course for high school or college students.

But abandoning the effort to present a meaningful portrait of the entire national and civilizational past destroyed the original justification for requiring students to study history

Competing subjects abounded, and no one could or would decide what mattered most and should take precedence. As this happened, studying history became only one among many possible ways of spending time in school.

The costs of this change are now becoming apparent, and many concerned persons agree that returning to a more structured curriculum, in which history ought to play a prominent part, is imperative.

three levels of generality seem likely to have the greatest importance for ordinary people.

First is family, local, neighborhood history

Second is national history, because that is where political power is concentrated in our time.

Last is global history, because intensified communications make encounters with all the other peoples of the earth increasingly important.

Other pasts are certainly worth attention, but are better studied in the context of a prior acquaintance with personal-local, national, and global history. That is because these three levels are the ones that affect most powerfully what all other groups and segments of society actually do.

National history that leaves out Blacks and women and other minorities is no longer acceptable; but American history that leaves out the Founding Fathers and the Constitution is not acceptable either. What is needed is a vision of the whole, warts and all.

the study of history does not lead to exact prediction of future events. Though it fosters practical wisdom, knowledge of the past does not permit anyone to know exactly what is going to happen

Consequently, the lessons of history, though supremely valuable when wisely formulated, become grossly misleading when oversimplifiers try to transfer them mechanically from one age to another, or from one place to another.

Predictable fixity is simply not the human way of behaving. Probabilities and possibilities-together with a few complete surprises-are what we live with and must learn to expect.

Second, as acquaintance with the past expands, delight in knowing more and more can and often does become an end in itself.

On the other hand, studying alien religious beliefs, strange customs, diverse family patterns and vanished social structures shows how differently various human groups have tried to cop

Broadening our humanity and extending our sensibilities by recognizing sameness and difference throughout the recorded past is therefore an important reason for studying history, and especially the history of peoples far away and long ago

For we can only know ourselves by knowing how we resemble and how we differ from others. Acquaintance with the human past is the only way to such self knowledge.

He writes with disarming composure about the factors that have led to the disintegration of empires and the abandonment of cities and about the mechanism that, in his view, makes it nearly certain that all states that rise will one day fall

societal collapse and its associated terms — “fragility” and “resilience,” “risk” and “sustainability” — have become the objects of extensive scholarly inquiry and infrastructure.

Princeton has a research program in Global Systemic Risk, Cambridge a Center for the Study of Existential Risk

even Tainter, for all his caution and reserve, was willing to allow that contemporary society has built-in vulnerabilities that could allow things to go very badly indeed — probably not right now, maybe not for a few decades still, but possibly sooner. In fact, he worried, it could begin before the year was over.

Plato, in “The Republic,” compared cities to animals and plants, subject to growth and senescence like any living thing. The metaphor would hold: In the early 20th century, the German historian Oswald Spengler proposed that all cultures have souls, vital essences that begin falling into decay the moment they adopt the trappings of civilization.

that theory, which became the heart of “The Collapse of Complex Societies.” Tainter’s argument rests on two proposals. The first is that human societies develop complexity, i.e. specialized roles and the institutional structures that coordinate them, in order to solve problems

All history since then has been “characterized by a seemingly inexorable trend toward higher levels of complexity, specialization and sociopolitical control.”

Eventually, societies we would recognize as similar to our own would emerge, “large, heterogeneous, internally differentiated, class structured, controlled societies in which the resources that sustain life are not equally available to all.”

Something more than the threat of violence would be necessary to hold them together, a delicate balance of symbolic and material benefits that Tainter calls “legitimacy,” the maintenance of which would itself require ever more complex structures, which would become ever less flexible, and more vulnerable, the more they piled up.

Social complexity, he argues, is inevitably subject to diminishing marginal returns. It costs more and more, in other words, while producing smaller and smaller profits.

Take Rome, which, in Tainter's telling, was able to win significant wealth by sacking its neighbors but was thereafter required to maintain an ever larger and more expensive military just to keep the imperial machine from stalling — until it couldn’t anymore.

This is how it goes. As the benefits of ever-increasing complexity — the loot shipped home by the Roman armies or the gentler agricultural symbiosis of the San Juan Basin — begin to dwindle, Tainter writes, societies “become vulnerable to collapse.”

haven’t countless societies weathered military defeats, invasions, even occupations and lengthy civil wars, or rebuilt themselves after earthquakes, floods and famines?

Only complexity, Tainter argues, provides an explanation that applies in every instance of collapse.

Complexity builds and builds, usually incrementally, without anyone noticing how brittle it has all become. Then some little push arrives, and the society begins to fracture.

A disaster — even a severe one like a deadly pandemic, mass social unrest or a rapidly changing climate — can, in Tainter’s view, never be enough by itself to cause collapse

The only precedent Tainter could think of, in which pandemic coincided with mass social unrest, was the Black Death of the 14th century. That crisis reduced the population of Europe by as much as 60 percent.

Whether any existing society is close to collapsing depends on where it falls on the curve of diminishing returns.

The United States hardly feels like a confident empire on the rise these days. But how far along are we?

Scholars of collapse tend to fall into two loose camps. The first, dominated by Tainter, looks for grand narratives and one-size-fits-all explanations

The second is more interested in the particulars of the societies they study

Patricia McAnany, who teaches at the University of North Carolina at Chapel Hill, has questioned the usefulness of the very concept of collapse — she was an editor of a 2010 volume titled “Questioning Collapse” — but admits to being “very, very worried” about the lack, in the United States, of the “nimbleness” that crises require of governments.

We’re too vested and tied to places.” Without the possibility of dispersal, or of real structural change to more equitably distribute resources, “at some point the whole thing blows. It has to.”

In Turchin’s case the key is the loss of “social resilience,” a society’s ability to cooperate and act collectively for common goals. By that measure, Turchin judges that the United States was collapsing well before Covid-19 hit. For the last 40 years, he argues, the population has been growing poorer and more unhealthy as elites accumulate more and more wealth and institutional legitimacy founders. “The United States is basically eating itself from the inside out,

Inequality and “popular immiseration” have left the country extremely vulnerable to external shocks like the pandemic, and to internal triggers like the killings of George Floyd

Societies evolve complexity, he argues, precisely to meet such challenges.

Eric H. Cline, who teaches at the George Washington University, argued in “1177 B.C.: The Year Civilization Collapsed” that Late Bronze Age societies across Europe and western Asia crumbled under a concatenation of stresses, including natural disasters — earthquakes and drought — famine, political strife, mass migration and the closure of trade routes. On their own, none of those factors would have been capable of causing such widespread disintegration, but together they formed a “perfect storm” capable of toppling multiple societies all at once.

Collapse “really is a matter of when,” he told me, “and I’m concerned that this may be the time.”

In “The Collapse of Complex Societies,” Tainter makes a point that echoes the concern that Patricia McAnany raised. “The world today is full,” Tainter writes. Complex societies occupy every inhabitable region of the planet. There is no escaping. This also means, he writes, that collapse, “if and when it comes again, will this time be global.” Our fates are interlinked. “No longer can any individual nation collapse. World civilization will disintegrate as a whole.”

If it happens, he says, it would be “the worst catastrophe in history.”

The quest for efficiency, he wrote recently, has brought on unprecedented levels of complexity: “an elaborate global system of production, shipping, manufacturing and retailing” in which goods are manufactured in one part of the world to meet immediate demands in another, and delivered only when they’re needed. The system’s speed is dizzying, but so are its vulnerabilities.

A more comprehensive failure of fragile supply chains could mean that fuel, food and other essentials would no longer flow to cities. “There would be billions of deaths within a very short period,” Tainter says.

If we sink “into a severe recession or a depression,” Tainter says, “then it will probably cascade. It will simply reinforce itself.”

Tainter tells me, he has seen “a definite uptick” in calls from journalists: The study of societal collapse suddenly no longer seems like a purely academic pursuit

Turchin is keenly aware of the essential instability of even the sturdiest-seeming systems. “Very severe events, while not terribly likely, are quite possible,” he says. When he emigrated from the U.S.S.R. in 1977, he adds, no one imagined the country would splinter into its constituent parts. “But it did.”

He writes of visions of “bloated bureaucracies” becoming the basis of “entire political careers.” Arms races, he observes, presented a “classic example” of spiraling complexity that provides “no tangible benefit for much of the population” and “usually no competitive advantage” either.

It is hard not to read the book through the lens of the last 40 years of American history, as a prediction of how the country might deteriorate if resources continued to be slashed from nearly every sector but the military, prisons and police.

The more a population is squeezed, Tainter warns, the larger the share that “must be allocated to legitimization or coercion.

And so it was: As U.S. military spending skyrocketed — to, by some estimates, a total of more than $1 trillion today from $138 billion in 1980 — the government would try both tactics, ingratiating itself with the wealthy by cutting taxes while dismantling public-assistance programs and incarcerating the poor in ever-greater numbers.

“As resources committed to benefits decline,” Tainter wrote in 1988, “resources committed to control must increase.”

The overall picture drawn by Tainter’s work is a tragic one. It is our very creativity, our extraordinary ability as a species to organize ourselves to solve problems collectively, that leads us into a trap from which there is no escaping

Complexity is “insidious,” in Tainter’s words. “It grows by small steps, each of which seems reasonable at the time.” And then the world starts to fall apart, and you wonder how you got there.

Perhaps collapse is not, actually, a thing. Perhaps, as an idea, it was a product of its time, a Cold War hangover that has outlived its usefulness, or an academic ripple effect of climate-change anxiety, or a feedback loop produced by some combination of the two

if you pay attention to people’s lived experience, and not just to the abstractions imposed by a highly fragmented archaeological record, a different kind of picture emerges.

Tainter’s understanding of societies as problem-solving entities can obscure as much as it reveals

Plantation slavery arose in order to solve a problem faced by the white landowning class: The production of agricultural commodities like sugar and cotton requires a great deal of backbreaking labor. That problem, however, has nothing to do with the problems of the people they enslaved. Which of them counts as “society”?

Since the beginning of the pandemic, the total net worth of America’s billionaires, all 686 of them, has jumped by close to a trillion dollars.

If societies are not in fact unitary, problem-solving entities but heaving contradictions and sites of constant struggle, then their existence is not an all-or-nothing game.

Collapse appears not as an ending, but a reality that some have already suffered — in the hold of a slave ship, say, or on a long, forced march from their ancestral lands to reservations faraway — and survived.

The current pandemic has already given many of us a taste of what happens when a society fails to meet the challenges that face it, when the factions that rule over it tend solely to their own problems

the real danger comes from imagining that we can keep living the way we always have, and that the past is any more stable than the present.

If you close your eyes and open them again, the periodic disintegrations that punctuate our history — all those crumbling ruins — begin to fade, and something else comes into focus: wiliness, stubbornness and, perhaps the strongest and most essential human trait, adaptability.

When one system fails, we build another. We struggle to do things differently, and we push on. As always, we have no other choice.

Trees act as water filters, taking in dirty surface water and absorbing nitrogen and phosphorus into the soil.

But the one reason for tree loss that humans can control is sensible development.

“Every time we put a road down, we put a building and we cut a tree or add a tree, it not only affects that site, it affects the region.”

The study placed a value on tree loss based on trees’ role in air pollution removal and energy conservation. The lost value amounted to $96 million a year.

Trees provide shade for homes, office buildings, parks and roadways, cooling surface temperatures.

Trees absorb carbon and remove pollutants from the atmosphere.

Trees reduce energy costs by $4 billion a year, according to Nowak’s study.

there are many reasons our tree canopy is declining, including hurricanes, tornadoes, fires, insects and disease.

Trees reduce flooding by absorbing water and reducing runoff into streams.

Trees can deflect sound

Trees absorb 96% of ultraviolet radiation, Nowak says.

Many studies have found connections between exposure to nature and better mental and physical health.

And studies have associated living near green areas with lower death rates.

Worldwide, forests provide for a huge diversity of animal life.