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However, there is widespread skepticism about the prospect for change. In eight of the 17 publics, roughly half or more of those polled say the political system needs major changes or a complete overhaul and say they have little or no confidence the system can be changed effectively.

We found that the strongest predictor of being dissatisfied was being unhappy with the current state of the national economy. Another significant predictor was how someone feels about economic opportunity.

dissatisfaction with the way democracy is working was much more common among people who expect that when children in their country today grow up, they will be worse off financially than their parents. The economic pessimists are also especially likely to think their country’s political system needs major changes or needs to be completely reformed. For example, in the United Kingdom, 61% of respondents who are pessimistic about the next generation’s financial prospects think their country needs significant political reform, compared with just 34% among those who are optimistic that the next generation will do better financially than their parents.

People who believe their country is doing a poor job of dealing with the pandemic are consistently more likely to say they are dissatisfied with the way their democracy is working and that they want significant changes to the political system. For instance, 73% of Germans who feel their country is handling the crisis poorly say they believe their political system needs major changes or should be completely overhauled, while just 32% of those who think the country is handling it well express this view.

Across 27 nations we polled in 2018, a median of 54% said that most politicians in their country are corrupt. This sentiment was especially high in Greece (89%) and Russia (82%). When we asked Americans a similar question in the fall of 2020, two-thirds said most politicians are corrupt.

A median of 78% across the 38 nations polled said that “a democratic system where representatives elected by citizens decide what becomes law” is a very or somewhat good way to govern their country. More than half expressed this view in every country polled. However, even at this broad level, enthusiasm for representative democracy was somewhat subdued – a median of only 33% said it is a very good approach to governing.

Across the 16 advanced economies surveyed, a median of just 17% consider American democracy a good model for other countries to follow. A median of 57% think it used to be a good example but has not been in recent years. And around a quarter say the U.S. has never been a good example. The belief that democracy in the U.S. has never been a good model for other nations is especially common among young adults.

For example, a median of 49% believed a system in which “experts, not elected officials, make decisions according to what they think is best for the country” would be very or somewhat good. 

A median of 26% considered “a system in which a strong leader can make decisions without interference from parliament or the courts” a very or somewhat good way to govern.

A median of 24% said “a system in which the military rules the country” would be a very or somewhat good system. In five countries – Vietnam, Indonesia, India, South Africa and Nigeria – roughly half or more expressed this opinion, as did at least 40% in another six nations. And higher-income nations weren’t completely immune: 17% in the United States, Italy and France believed military rule could be a good way to run the country.

For example, 27% of Americans who identified as conservative thought autocracy would be a good way to govern, compared with 14% who identified as liberal. And 20% of conservatives supported military rule, compared with 12% of liberals. People with lower levels of educational attainment were more likely to consider military rule a good way to govern in 23 countries.

A median of more than 67% across 34 countries rated a fair judicial system, gender equality and freedom of religion as very important. But there was less support for holding regular competitive elections, freedom of speech and press freedom. A median of roughly six-in-ten or fewer said it was very important to have free expression on the internet or to allow human rights groups and opposition parties to operate freely.

In Greece, for example, the share who say having people of many different racial, ethnic and religious backgrounds makes their country a better place to live more than doubled between 2017 and 2021. Over the same period, favorable views of diversity increased by about 10 percentage points or more in Japan, the Netherlands, the UK and Spain. Slightly smaller increases can be seen in Germany, South Korea, Australia and Sweden.

A median of 67% across the same 17 publics say racial or ethnic discrimination is a problem where they live. Roughly three-in-ten or more in Germany, Spain, the UK, Greece, France, the U.S. and Italy say it is a very serious problem in their country. Younger adults and those on the ideological left are often more convinced on this point. In the U.S., about two-thirds of Americans on the left say racial and ethnic discrimination is a very serious problem in their country, compared with only 19% of Americans on the political right.

median of 56% across 17 advanced economies surveyed in 2021 say their political system needs major changes or needs to be completely reformed. Roughly two-thirds or more express this opinion in Italy, Spain, the U.S., South Korea, Greece, France, Belgium and Japan.

Across the 17 advanced economies we surveyed in 2021, a median of 61% say their country is more divided than before the outbreak. Moreover, the share of the public that feels this way has risen substantially as the pandemic has worn on. In the spring of 2020, only months into the crisis, just 29% of Canadians believed they were more divided, but a year later 61% express this view.

a median of 64% disagreed with the statement “most elected officials care what people like me think.”

A median of 50% disagreed with the statement “the state is run for the benefit of all the people,” while 49% agreed.

For example, 88% of Italians in 2002 said their government was run for the benefit of all, but only 30% held this view in 2019.

Across 34 nations polled in 2019, a median of 67% agreed that voting gives ordinary people some say about how the government runs things.

Others derive purpose from specific kinds of responsibility.

People who had been working as station agents before their elevation were generally satisfied by their new roles. But supervisors who had previously worked as train drivers were noticeably less content: they felt their roles had less meaning when they no longer had direct responsibility for the well-being of passengers.

Firms need to think more creatively about career progression than promoting people into management jobs. IBM, for example, has a fellowship programme designed to give a handful of its most gifted technical employees their own form of recognition each year.

There is some logic here. Employees with a calling could well be more dedicated. But that doesn’t necessarily make them better at the job. And teams are likelier to perform well if they blend types of employees: visionaries to inspire, specialists to deliver and all those people who want to do a job well but not think about it at weekends. Like mayonnaise, the secret is in the mixture.

A handful of financial institutions produced them when Rio de Janeiro hosted in 2016, using a mixture of macroeconomic indicators and performances at previous Olympics to forecast total medal hauls for each country.

Gracenote’s distinguishing feature is the ability to produce quantitative analysis for each event.

Gracenote still uses the old system to produce its public medal table, which also deals in absolute forecasts, rather than fractional ones. If a French athlete, say, is the most likely to win an event, France gets awarded one gold medal in the table, even though the true probability of the athlete winning gold is less than 100% and his chances of claiming silver and bronze are greater than 0%.

the Elo rating system, which was developed for chess by Arpad Elo, a Hungarian physicist. The formula exchanges ranking points from the loser to the winner, with greater rewards for beating stronger opponents. The difference in ratings points between two rivals can be easily used to calculate the probability that one will beat the other.

Yet only two events on the winter Olympics programme, curling and ice hockey, involve head-to-head contests.

Those that compete in teams have their scores blended with their compatriots. And for those that participate in a number of events, such as Ms Dahlmeier, results in related disciplines affect multiple ratings. A strong performance in the biathlon sprint, a group race, would boost her ranking in the pursuit, a staggered race, for example.

The best way to answer that question is to take every previous contest in the sport and analyse how past results correlate with future success.

The bans have benefited Norway most, as the country will likely gain of the five of the 12 foregone medals—enough to nudge it ahead of Germany into first place in terms of total medals won.

Mr Gleave notes that the favourite only wins about 30% of the time, a lower share than in any other winter sport. Ms Dahlmeier’s rating has dwindled a little, but not by enough to suggest that last year’s record breaker has become this year’s flop.

Gracenote’s research into age curves for each sport shows that the best biathletes can maintain their peak performance into their early 30s (see chart). Expect to see more event-by-event forecasting at future Olympics, too.

One 12th-grade student in Kabul said the decision had stamped out her last bit of hope that she could achieve her dream of becoming a lawyer.

“Education was the only way to give us some hope in these times of despair, and it was the only right we hoped for, and it has been taken away,” the student, Zahra Rohani, 15, said.

On Monday, the Ministry of Education had announced that all schools, including girls’ high schools, would reopen on Wednesday at the start of the spring semester. The following day, a Ministry of Education spokesman released a video congratulating all students on the return to class.

Mehrin Ekhtiari, a 15-year-old student in 10th grade, said she and her classmates were shocked when a teacher announced the news to the classroom on Wednesday morning.

“My hope was revived after eight months of waiting,” she said, adding later that the announcement had “dashed all my dreams.”

In recent months, the Taliban had also come under mounting pressure to permit girls to attend high school from international donors, aid from which has helped keep Afghanistan from plunging further into a humanitarian catastrophe set off by the collapse of the former government and Western sanctions that crippled the country’s banking system.

. He attributed the decision to a lack of a religious uniform for girls and the lack of female teachers for girls, among other issues.

Many principals and teachers said they only received the new instructions from the ministry after students had already arrived for classes Wednesday.

The move came a little more than a week before a pledging conference where the United Nations had hoped donor countries would commit millions of dollars in badly needed aid, as Afghanistan grapples with an economic collapse that has left over half of the population without sufficient food to eat. It is unclear whether donors will be willing to contribute following the Taliban’s abrupt reversal on the key commitment of girl’s education.

The Taliban on Wednesday abruptly reversed their decision to allow girls’ high schools to reopen this week, saying that they would remain closed until officials draw up a plan for them to reopen in accordance with Islamic law.

When schools reopened in September for grades seven through 12, Taliban officials told only male students to report for their studies, saying that girls would be allowed to return after security improved and enough female teachers could be found to keep classes fully segregated by sex.

Later, Taliban officials insisted that Afghan girls and women would be able to go back to school in March, and many Western officials seized on that promise as a deadline that would have repercussions for the Taliban’s efforts to eventually secure international recognition and the lifting of at least some sanctions.

“I’m deeply troubled by multiple reports that the Taliban are not allowing girls above grade 6 to return to school,” tweeted Ian McCary, the chief of mission for U.S. Embassy Kabul, currently operating out of Doha, Qatar. “This is very disappointing & contradicts many Taliban assurances & statements.”

At one girls’ private high school in Kabul, more female students had arrived for classes Wednesday morning compared to previous years, the school’s principal said in an interview.

“They came to my office, crying,” said the principal,

The decision “doesn’t make sense at all, and it has no logic,” the principal added, noting that the new government has had over seven months to design a new uniform and address the teacher shortage.

Since seizing power, the Taliban have been reckoning with the need for consistent policies while struggling to tread a delicate line that satisfies their more moderate members, their hard-line base and the international community.

The sudden reversal on the girls’ secondary schools seemed to validate existing concerns among Western donors that, despite assurances, they are dealing with much the same Taliban as the 1990s.

“The Taliban have been solidifying their position and becoming hard-line on a lot of issues,” Mr. Bahiss said.

In recent months, the new government has issued restrictions on local media and cracked down on peaceful protests. Taliban officials have also issued new restrictions on women, including a ban on traveling farther than 45 miles in a taxi unless they are accompanied by a male chaperone.

“You can’t exercise your other rights if you can’t leave your house to attend your job or attend education classes,” Ms. Barr said. “It’s a really alarming sign of what may be to come, it’s likely to herald further crackdowns on women.”

The Ukrainian exodus is nearly triple the size of the wave of Syrians and others who reached Europe in 2015.

In response to the Ukrainian crisis, Europe has rolled out welcome mats, both metaphorical and literal.

On March 3rd the European Union invoked for the first time its temporary-protection directive, giving Ukrainians the right to live, work and receive benefits in 26 of its 27 member countries.

Poland has taken in 2.2m. Hungary, whose prime minister, Viktor Orban, was the first European leader to build a fence to keep out refugees in 2015, has admitted 340,000.

Poland’s government encourages such generosity by offering hosts 40 zloty ($9) per day per refugee for two months.

Britain’s is giving £350 ($460) a month per household, although its forbidding bureaucracy has made it hard for many Ukrainians to come.

Ukraine’s closest neighbours are already feeling strained. Moldova, which has received 370,000 refugees, equivalent to about a tenth of its population, is overwhelmed.

Newer refugees, who tend to be poorer and are less likely to have family already in western Europe, may also stay in larger numbers.

Parts of Poland, too, are buckling. Around 300,000 refugees have come to Warsaw, the capital, increasing its population by 17%. More than 100,000 are in Krakow, the second-largest city, which is usually home to 780,000 people. “[T]he more people, the worse the conditions will be,”

Countries on the route taken by refugees in 2015, from Greece to Belgium, have greatly improved their ability to register and process them.

Some, such as Germany, passed laws and set up institutions to integrate refugees.

For economies, refugees could be both a burden and a boon.

the EU’s four biggest countries will spend nearly 0.2% of GDP to support the influx, assuming 4m refugees come to the region.

Ukrainians already in Germany have higher qualifications than did Syrian refugees, which should help them find work. The relative abundance of work means that there is little risk that Germans will accuse the newcomers of taking their jobs.

The forecasters may also be overestimating how much work single mothers, traumatised by their flight from Ukraine and worried about the husbands they left behind, will be able to do, especially where day-care places are scarce and expensive.

If the war grinds on, economies slow and governments fail to provide the newcomers with housing, services and jobs, Europe’s welcome mats could be withdrawn.

Dissent can already be heard in some overburdened countries. In Romania a nationalist fringe contends that Ukraine, not Russia, is the enemy. In Moldova some Ukrainians’ cars have been vandalised. Filippo Grandi, the head of the UN’s refugee agency, fears that hostility will spread.

That’s still well below the national median, but the conditions of the White population are dismal: a median household income of $24,800, only 41% with any post-high school education, and 30% living in poverty.

In a growing nationwide trend, the median household incomes of people of color, according to the U.S. Census Bureau, now exceed those of White people in nearly 200 of the 1,500 Republican-trifecta counties—those in which the party controls the governor’s office and both legislative chambers of state government (see Figure 1)

In the most telling statistics, White people in Antlers are nearly twice as likely to die by guns as Native Americans (see Figure 2). Compared with Whites nationally, Antlers Whites suffer excessive death rates from drugs and alcohol (1.3 times the national average), suicide (1.5 times), all violent deaths (1.8 times), homicide (2.5 times), and gunfire (2.6 times).

When I was growing up in Antlers 60 years ago and visited it 20 years ago, my family’s old block consisted of well-kept middle-class homes fronting yards for chickens and horses. On my latest visit in January 2022, I found the houses all boarded up or blowing open in the wind (see photo at top). There are hundreds of abandoned dwellings with collapsing roofs and walls and junk-filled empty lots alongside barely intact, yet still occupied, houses.

Antlers is not all devastation, however. It sports a gleaming Choctaw-built travel center financed by casino revenues, which are also invested in local Native Americans’ well-being.

Across America, the partisan gap in gross domestic product per capita is also huge and growing: $77,900 in Democratic-voting areas, compared with $46,600 in Republican-voting areas

444 Republican counties have a GDP per capita of under $30,000, and 10 times as many people live in those counties than in the seven similarly low-GDP Democratic counties.

Whites in about 40% of all Republican counties lost income over the past two decades. And Trump’s administration was no help to his base. During his presidency, the overall Democrat–Republican GDP per capita gap widened by another $1,800.

For the largest urbanized states, the three with Democratic control of all branches of government (California, New York, and Illinois) had GDPs per capita vastly higher than the three biggest Republican-controlled states (Texas, Florida, and Ohio).

The right-wing canard that hardworking White people subsidize welfare-grubbing cities is backward. Democrat-voting counties, with 60% of America’s population, generate 67% of the nation’s personal income, 70% of the nation’s GDP, 71% of federal taxes, 73% of charitable contributions, and 75% of state and local taxes.

Mirroring Antlers, White Republican America also suffers violent death rates, including from suicide, homicide, firearms, and drunken driving crashes, far higher than Whites in Democratic America and higher than non-White people everywhere.

To top it off, Republican-governed Americans are substantially more likely to die from COVID-19.

As the death gap between Republican and Democratic areas widens over time, the life expectancy for Whites in Republican-voting areas (77.6 years) is now three years shorter than that of Whites in Democratic areas (80.6 years), shorter than those of Asians and Latino people everywhere, and only a few months longer than Black and Native Americans in Democratic areas.

That White people are falling behind across key economic, health, and safety indexes is not due to victimization by immigrants and liberal conspiracies, however, but to victimization by other Whites and self-inflicted alcoholism, drug overdose, and suicide.

Aside from the problem that Republican members of congress (and two recalcitrant Democrats) have sabotaged beneficial initiatives, former President Barack Obama already tried that. From 2010 to 2016, the Obama administration’s economic recovery measures fostered millions of new jobs and thousands of dollars in real median income growth for Whites in urban and most rural areas alike, reversing the recession under Republican George W. Bush’s presidency.

Is the solution to undividing America massive federal programs to improve Republican America’s struggling economies and troubled social conditions, then?

This is a delayed but inescapable consequence of China’s birth trends from the era of the notorious one-child policy (1980-2015)

Beijing thus far has ignored this looming crisis because planners don’t prepare for things they don’t track. Officials don’t regard data on the family as relevant to statecraft or security. So statistics tally males and females—not uncles, sisters, cousins, widows.

We estimate past patterns and project trends through demographic modeling—simulations replicating China’s available population numbers—while “building” family trees consistent with those figures. We can approximate nationwide changes in China’s extended family networks in the past with reasonable validity and describe what lies ahead with fair confidence.

we are only now living through the era of “peak kin” in China. In terms of sheer numbers, Chinese networks of blood relatives were never nearly as thick as at the start of the 21st century.

Because of dramatic postwar improvements in health and mortality, men and women in their 40s today have on average five times as many living cousins as in 1960.

China’s “kin explosion” may be an important, heretofore unobserved factor in China’s remarkable economic performance since Mao Zedong’s death in 1976.

China is now on the cusp of a severe and unavoidable “kin crash,” driven by prolonged subreplacement fertility

China’s rising generations will likely have fewer living relatives than ever before in Chinese history.

A “kin famine” will thus unfold unforgivingly over the next 30 years—starting now. As it intensifies, the Chinese family—the most important institution protecting Chinese people against adversity in bad times and helping them seize opportunity in good times—will increasingly falter in both these crucial functions.

China’s withering of the family is set to collide with a tsunami of new social need from the country’s huge elderly population, whose ranks will more than double between 2020 and 2050

By 2050 living parents and in-laws will outnumber children for middle-aged Chinese men and women. Thus exigency may overturn basic familial arrangements that have long been taken for granted. The focus of the family in China will necessarily turn from the rearing of the young to the care of the old.

The reliability and durability of familial bonds of duty will be an increasingly critical question—perhaps even a matter of life and death for many, including frail and impecunious elders in the Chinese hinterlands

growing numbers of men in decades ahead will enter old age without spouses or children—the traditional sources of support for the elderly.

by 2050, 18% of China’s men in their 60s will have no living descendants, twice the fraction today.

who will look after these unfortunates?

Still worse than the macroeconomic implications of old-age dependency may be the effect of China’s family crisis on the so-called micro-foundations of the national economy—the little things that make markets work.

Since earliest recorded history, China’s guanxi networks, a distinctive form of special relationships and professional connections, have helped get business done by reducing uncertainty and transaction costs. The proliferation of blood relatives was likely a powerful stimulant for growth during the era of China’s phenomenal upswing.

the kin dearth may prove an economic depressant well beyond what current “head count” projections suggest.

China’s coming family revolution could easily conduce to a rise in personal risk aversion. Risk aversion may in turn dampen mobility, including migration.

Less migration means less urbanization, which means less growth—and possibly still more pessimism and risk aversion.

If the waning of the family requires China to build a huge social welfare state over the coming generation, as we surmise it will, Beijing would have that much less wherewithal for influencing events abroad through economic diplomacy and defense policy.

by 2050 at least half of China’s overall pool of male military-age manpower will be made up of only children. Any encounter by China’s security forces involving significant loss of life will presage lineage extinction for many Chinese families.

Autocracies are typically tolerant of casualties—but maybe not in the only-child China of today and the decades ahead.

Failure to contemplate the implications of the coming changes in Chinese family structure could prove a costly blind spot for the Communist Party. Blind spots expose governments to the risk of strategic surprise. The consequences of social, economic and political risks tend to be greatest when states aren’t prepared for them.

“We should keep in mind that we’re only at the beginning of what AI can accomplish,” he wrote. “Whatever limitations it has today will be gone before we know it.”

“We should try to balance fears about the downsides of AI—which are understandable and valid—with its ability to improve people’s lives.”

How could these two seemingly contradictory statements both be true?

respondents in 2016 and 2020 reported more moderate views, on average, than in previous elections. As a result, Trump improved the most over previous Republicans by capturing the votes of a larger number of people who report racially moderate views

the number of people scoring at moderate levels of racial resentment increased. Trump was not as popular among this voting bloc, compared to those with high racial resentment. But because this group is larger, whites with moderate racial resentment scores ended up contributing more net votes to Trump.

The point about Trump voters being less racially resentful on average than voters for previous Republican candidates, while likely true, should, I think, be interpreted as a statement about why it’s important to be mindful of over-time changes in groups’ sizes in the population,

Trump’s supporters were less xenophobic than prior Republican candidates’, less sexist, had lower animus to minority groups, and lower levels of racial resentment. Far from deplorables, Trump voters were, on average, more tolerant and understanding than voters for prior Republican candidates.

The data, Grimmer continued,point to two important and undeniable facts. First, analyses focused on vote choice alone cannot tell us where candidates receive support. We must know the size of groups and who turns out to vote. And we cannot confuse candidates’ rhetoric with the voters who support them, because voters might support the candidate despite the rhetoric, not because of it.

Several pieces of research into the 2016 election, including our book, “Identity Crisis,” and this interesting paper by Grimmer, Marble and Tanigawa-Lau, find that people’s vote choices in that election were more strongly related to their views on “identity-inflected issues” than they had been in prior elections. That is why our book argues that these issues are central to how we interpret the outcome in 2016.

the Grimmer paper in fact provides a key corrective to the debate over the 2016 election. In an email, Kane pointed to a key section that reads:

election-night pundits and even some academics have claimed that Trump’s victory was the result of appealing to white Americans’ racist and xenophobic attitudes. We show this conventional wisdom is (at best) incomplete

The Grimmer paper, Engelhardt continued, “encourages us to take a step back and focus on the big picture for understanding elections: where do most votes come from and are these patterns consistent across elections?”

understanding election outcomes requires not just understanding what contributes to vote choice (e.g., racial group attachments, racial prejudice), but also how many people with that particular attitude turned out to vote and what share of the electorate that group makes up.

Trump, Westwood concluded, “found support from both racists and moderates, but with the pool of racist voters shrinking, it is clear this is not a path to future victory.”

Discussion of racial resentment driving support for Trump could miss how folks low in racial resentment were actually critical to the election outcome. The paper makes just this clarifying point, noting, for instance, that White Democrats low in racial resentment were even more influential in contributing votes to Clinton in 2016 than to Obama in 2012. Change between 2012 and 2016 is not exclusively due to the behavior of the most prejudiced.

“It is a nice reminder for scholars and, especially, the media, that it is important to think carefully about base rates.”

Donald Trump’s candidacy in 2016 was a stress test for Republican partisanship, and Republican partisanship passed with flying colors

The election was close enough for Trump to win because the vast majority of G.O.P. voters found the idea of either sitting it out or voting for a Democrat they had spent 20+ years disliking so distasteful that Trump’s limitations, liabilities and overt racism and misogyny were not a deal-breaker.

Theodoridis noted that his oneminor methodological and measurement critique is that this sort of analysis has to take seriously what the racial resentment scale actually means

It may be that race is actually quite salient for those in the middle part of the scale, but they are just less overtly racist than those at the top of the scale.

and NOT as a statement about Trump being successful in attracting racially liberal voters (indeed, those lowest in racial resentment turned away from him, per Grimmer-Marble-Tanigawa-Lau’s own findings).

It is an interesting academic exercise to predict who will win the vote within a specific group, but it is more fundamental to elections to understand how many voters candidates will gain from each group

the important contribution from Grimmer et al is that there was a big change in the attitudes of the white electorate. A small number of whites with high levels of racial resentment did support Trump in 2016 at a higher rate than in prior elections, but the bulk of support for Trump came from more moderate whites. Trump managed to pull in support from racists, but he was able to pull in much more support from economically disadvantaged whites.

The Grimmer paper, according to Westwood, has significant implications for those making “general claims about the future Republican Party,” specifically challenging those who believe

that Republicans can continue to win by appealing to white Americans’ worst attitudes and instincts. While it is true Trump support is largest for the most racist voters, this group is a shrinking part of the electorate

Republicans, as Grimmer et al. show, must figure out how to appeal to moderate whites who hold more moderate attitudes in order to win

Also, the meaning of the racial resentment scale changes over time in ways that are not independent of politics, and especially of presidential politics. Position on the scale is not immutable in the way some descriptive characteristics may be.

it’s critical to avoid the idea that there is a single skeleton key that can explain all the varied undercurrents that led to Trump’s 2016 victory, or that any one paper will provide a definitive explanation

One clear benefit emerging from the continuing study of Trump’s 2016 victory is a better understanding of the complexity and nuance of what brought it about.

the presence of racial resentment among Republican voters emerged long before Trump ran for president, while such resentment among Democratic voters has been sharply declining

racial resentment didn’t do more for Trump than it did for Romney. The highly racially resentful have, with reason, been voting for Republicans for a long time

Trump’s more explicit use of race didn’t make supporters more racially resentful. Levels of racial resentment among Republicans are no higher now than they were before Trump. In fact, they are slightly lower

And the highly racially resentful already knew full well that their home was in the G.O.P.

While the focus of attention has been on those who fall at the high end of the distribution on racial resentment

Almost all the change has taken place among Democrats, as they moved to lower and lower levels of resentment

In a statistical sense, the fact that there are now so many more people at the low end of the distribution than before will produce a larger coefficient for the effect of racial resentment on voting behavior.

that does not mean that those high in racial resentment are now even more likely to vote for Republicans or that there are more people high in resentment

there are more people low in resentment than before and that they are even less likely to vote for Republicans than before. So the low end of the scale is doing the work.

my own view is that Grimmer, Marble and Tanigawa-Lau have made a significant contribution to understanding the Trump phenomenon.

Most important, they make the case that explanations of Trump’s victory pointing to the role of those at the extremes on measures of racial resentment and sexism, while informative, are in their own way too comforting, fostering the belief that Trump’s triumph was the product of voters who have drifted far from the American mainstream.

In fact, the new analysis suggests that Trumpism has found fertile ground across a broad swath of the electorate, including many firmly in the mainstream. That Trump could capture the hearts and minds of these voters suggests that whatever he represents beyond racial resentment — anger, chaos, nihilism, hostility — is more powerful than many recognize or acknowledge

he started receiving death threats. People said they wished he and his family had been killed by drug lords, told him that “sooner or later your punishment will arrive” and proposed that he be nailed into a coffin or run over by a cement roller.

Mr. Moreno, who grew up in Colombia, began working as a researcher in a computer science and robotics lab in Paris in 1983; the career that followed involved creating a start-up, meeting the Dalai Lama and being named a knight of the Légion d’Honneur. His work has won several awards and spanned many fields — automotive, medical, nuclear, military, even home goods.

Many of the recent threats have been directed at scientists studying Covid-19. In a survey of 321 such scientists who had given media interviews, the journal Nature found that 22 percent had received threats of physical or sexual violence and 15 percent had received death threats

Last year, an Austrian doctor who was a vocal supporter of vaccines and a repeated target of threats died by suicide.

increasingly, even professors and researchers without much of a public persona have faced intimidation from extremists and conspiracy theorists.

Around 2010, he started thinking about how technology could help create sustainable cities. Eventually, he refined his ideas about “human smart cities” and “living cities” into his 2016 proposal for 15-minute cities.

The idea owes much to its many predecessors: “neighborhood units” and “garden cities” in the early 1900s, the community-focused urban planning pioneered by the activist Jane Jacobs in the 1960s, even support for “new urbanism” and walkable cities in the 1990s. So-called low-traffic neighborhoods, or LTNs, have been set up in several British cities over the past few decades.

Critics of 15-minute cities have been outspoken, arguing that a concept developed in Europe may not translate well to highly segregated American cities. A Harvard economist wrote in a blog post for the London School of Economics and Political Science in 2021 that the concept was a “dead end” that would exacerbate “enormous inequalities in cities” by subdividing without connecting them.

Jordan Peterson, a Canadian psychologist with four million Twitter followers, suggested that 15-minute cities were “perhaps the worst imaginable perversion” of the idea of walkable neighborhoods. He linked to a post about the “Great Reset,” an economic recovery plan proposed by the World Economic Forum that has spawned hordes of rumors about a pandemic-fueled plot to destroy capitalism.

A member of Britain’s Parliament said that 15-minute cities were “an international socialist concept” that would “cost us our personal freedoms.” QAnon supporters said the derailment of a train carrying hazardous chemicals in Ohio was an intentional move meant to push rural residents into 15-minute cities.

“Conspiracy-mongers have built a complete story: climate denialism, Covid-19, anti-vax, 5G controlling the brains of citizens, and the 15-minute city for introducing a perimeter for day-to-day life,” Mr. Moreno said. “This storytelling is totally insane, totally irrational for us, but it makes sense for them.”

The multipronged conspiracy theory quickly became “turbocharged” after the Oxford protest, said Jennie King, head of climate research and policy at the Institute for Strategic Dialogue, a think tank that studies online platforms.

“You have this snowball effect of a policy, which in principle was only going to affect a small urban population, getting extrapolated and becoming this crucible where far-right groups, industry-sponsored lobbying groups, conspiracist movements, anti-lockdown groups and more saw an opportunity to insert their worldview into the mainstream and to piggyback on the news cycle,”

The vitriol currently directed at Mr. Moreno and researchers like him mirrors “the broader erosion of trust in experts and institutions,”

Modern conspiracy theorists and extremists turn the people they disagree with into scapegoats for a vast array of societal ills, blaming them personally for causing the high cost of living or various health crises and creating an “us-versus-them” environment, she said.

“I am not a politician, I am not a candidate for anything — as a researcher, my duty is to explore and deepen my ideas with scientific methodology,” he said. “It is totally unbelievable that we could receive a death threat just for working as scientists.”

The key issue is not “human-competitive” intelligence (as the open letter puts it); it’s what happens after AI gets to smarter-than-human intelligence. Key thresholds there may not be obvious, we definitely can’t calculate in advance what happens when, and it currently seems imaginable that a research lab would cross critical lines without noticing.

Many researchers steeped in these issues, including myself, expect that the most likely result of building a superhumanly smart AI, under anything remotely like the current circumstances, is that literally everyone on Earth will die. Not as in “maybe possibly some remote chance,” but as in “that is the obvious thing that would happen.”

It’s not that you can’t, in principle, survive creating something much smarter than you; it’s that it would require precision and preparation and new scientific insights, and probably not having AI systems composed of giant inscrutable arrays of fractional numbers.

Absent that caring, we get “the AI does not love you, nor does it hate you, and you are made of atoms it can use for something else.”

Without that precision and preparation, the most likely outcome is AI that does not do what we want, and does not care for us nor for sentient life in general. That kind of caring is something that could in principle be imbued into an AI but we are not ready and do not currently know how.

The likely result of humanity facing down an opposed superhuman intelligence is a total loss

To visualize a hostile superhuman AI, don’t imagine a lifeless book-smart thinker dwelling inside the internet and sending ill-intentioned emails. Visualize an entire alien civilization, thinking at millions of times human speeds, initially confined to computers—in a world of creatures that are, from its perspective, very stupid and very slow. A sufficiently intelligent AI won’t stay confined to computers for long. In today’s world you can email DNA strings to laboratories that will produce proteins on demand, allowing an AI initially confined to the internet to build artificial life forms or bootstrap straight to postbiological molecular manufacturing.

There’s no proposed plan for how we could do any such thing and survive. OpenAI’s openly declared intention is to make some future AI do our AI alignment homework. Just hearing that this is the plan ought to be enough to get any sensible person to panic. The other leading AI lab, DeepMind, has no plan at all.

An aside: None of this danger depends on whether or not AIs are or can be conscious; it’s intrinsic to the notion of powerful cognitive systems that optimize hard and calculate outputs that meet sufficiently complicated outcome criteria.

I didn’t also mention that we have no idea how to determine whether AI systems are aware of themselves—since we have no idea how to decode anything that goes on in the giant inscrutable arrays—and therefore we may at some point inadvertently create digital minds which are truly conscious and ought to have rights and shouldn’t be owned.

I refrained from signing because I think the letter is understating the seriousness of the situation and asking for too little to solve it.

the thing about trying this with superhuman intelligence is that if you get that wrong on the first try, you do not get to learn from your mistakes, because you are dead. Humanity does not learn from the mistake and dust itself off and try again, as in other challenges we’ve overcome in our history, because we are all gone.

If we held anything in the nascent field of Artificial General Intelligence to the lesser standards of engineering rigor that apply to a bridge meant to carry a couple of thousand cars, the entire field would be shut down tomorrow.

We are not on course to be prepared in any reasonable time window. There is no plan. Progress in AI capabilities is running vastly, vastly ahead of progress in AI alignment or even progress in understanding what the hell is going on inside those systems

Many researchers working on these systems think that we’re plunging toward a catastrophe, with more of them daring to say it in private than in public; but they think that they can’t unilaterally stop the forward plunge, that others will go on even if they personally quit their jobs.

This is a stupid state of affairs, and an undignified way for Earth to die, and the rest of humanity ought to step in at this point and help the industry solve its collective action problem.

When the insider conversation is about the grief of seeing your daughter lose her first tooth, and thinking she’s not going to get a chance to grow up, I believe we are past the point of playing political chess about a six-month moratorium.

The moratorium on new large training runs needs to be indefinite and worldwide. There can be no exceptions, including for governments or militaries. If the policy starts with the U.S., then China needs to see that the U.S. is not seeking an advantage but rather trying to prevent a horrifically dangerous technology which can have no true owner and which will kill everyone in the U.S. and in China and on Earth

Here’s what would actually need to be done:

Shut down all the large GPU clusters (the large computer farms where the most powerful AIs are refined). Shut down all the large training runs

Put a ceiling on how much computing power anyone is allowed to use in training an AI system, and move it downward over the coming years to compensate for more efficient training algorithm

Track all GPUs sold. If intelligence says that a country outside the agreement is building a GPU cluster, be less scared of a shooting conflict between nations than of the moratorium being violated; be willing to destroy a rogue datacenter by airstrike.

Frame nothing as a conflict between national interests, have it clear that anyone talking of arms races is a fool

Make it explicit in international diplomacy that preventing AI extinction scenarios is considered a priority above preventing a full nuclear exchange, and that allied nuclear countries are willing to run some risk of nuclear exchange if that’s what it takes to reduce the risk of large AI training runs.

when your policy ask is that large, the only way it goes through is if policymakers realize that if they conduct business as usual, and do what’s politically easy, that means their own kids are going to die too.

The Tesla Inc. CEO tweeted in February that OpenAI had been founded as an open-source nonprofit “to serve as a counterweight to Google, but now it has become a closed source, maximum-profit company effectively controlled by Microsoft. Not what I intended at all.”

Backers say his brand of social-minded capitalism makes him the ideal person to lead OpenAI. Others, including some who’ve worked for him, say he’s too commercially minded and immersed in Silicon Valley thinking to lead a technological revolution that is already reshaping business and social life. 

In the long run, he said, he wants to set up a global governance structure that would oversee decisions about the future of AI and gradually reduce the power OpenAI’s executive team has over its technology. 

OpenAI researchers soon concluded that the most promising path to achieve artificial general intelligence rested in large language models, or computer programs that mimic the way humans read and write. Such models were trained on large volumes of text and required a massive amount of computing power that OpenAI wasn’t equipped to fund as a nonprofit, according to Mr. Altman. 

In its founding charter, OpenAI pledged to abandon its research efforts if another project came close to building AGI before it did. The goal, the company said, was to avoid a race toward building dangerous AI systems fueled by competition and instead prioritize the safety of humanity.

While running Y Combinator, Mr. Altman began to nurse a growing fear that large research labs like DeepMind, purchased by Google in 2014, were creating potentially dangerous AI technologies outside the public eye. Mr. Musk has voiced similar concerns of a dystopian world controlled by powerful AI machines. 

Messrs. Altman and Musk decided it was time to start their own lab. Both were part of a group that pledged $1 billion to the nonprofit, OpenAI Inc. 

Mr. Altman said he doesn’t necessarily need to be first to develop artificial general intelligence, a world long imagined by researchers and science-fiction writers where software isn’t just good at one specific task like generating text or images but can understand and learn as well or better than a human can. He instead said OpenAI’s ultimate mission is to build AGI, as it’s called, safely.

“We didn’t have a visceral sense of just how expensive this project was going to be,” he said. “We still don’t.”

Tensions also grew with Mr. Musk, who became frustrated with the slow progress and pushed for more control over the organization, people familiar with the matter said. 

OpenAI executives ended up reviving an unusual idea that had been floated earlier in the company’s history: creating a for-profit arm, OpenAI LP, that would report to the nonprofit parent. 

Reid Hoffman, a LinkedIn co-founder who advised OpenAI at the time and later served on the board, said the idea was to attract investors eager to make money from the commercial release of some OpenAI technology, accelerating OpenAI’s progress

“You want to be there first and you want to be setting the norms,” he said. “That’s part of the reason why speed is a moral and ethical thing here.”

The decision further alienated Mr. Musk, the people familiar with the matter said. He parted ways with OpenAI in February 2018. 

Mr. Musk announced his departure in a company all-hands, former employees who attended the meeting said. Mr. Musk explained that he thought he had a better chance at creating artificial general intelligence through Tesla, where he had access to greater resources, they said.

OpenAI said that it received about $130 million in contributions from the initial $1 billion pledge, but that further donations were no longer needed after the for-profit’s creation. Mr. Musk has tweeted that he donated around $100 million to OpenAI. 

Mr. Musk’s departure marked a turning point. Later that year, OpenAI leaders told employees that Mr. Altman was set to lead the company. He formally became CEO and helped complete the creation of the for-profit subsidiary in early 2019.

A young researcher questioned whether Mr. Musk had thought through the safety implications, the former employees said. Mr. Musk grew visibly frustrated and called the intern a “jackass,” leaving employees stunned, they said. It was the last time many of them would see Mr. Musk in person.  

In the meantime, Mr. Altman began hunting for investors. His break came at Allen & Co.’s annual conference in Sun Valley, Idaho in the summer of 2018, where he bumped into Satya Nadella, the Microsoft CEO, on a stairwell and pitched him on OpenAI. Mr. Nadella said he was intrigued. The conversations picked up that winter.

“I remember coming back to the team after and I was like, this is the only partner,” Mr. Altman said. “They get the safety stuff, they get artificial general intelligence. They have the capital, they have the ability to run the compute.”   

Mr. Altman disagreed. “The unusual thing about Microsoft as a partner is that it let us keep all the tenets that we think are important to our mission,” he said, including profit caps and the commitment to assist another project if it got to AGI first. 

Some employees still saw the deal as a Faustian bargain. 

OpenAI’s lead safety researcher, Dario Amodei, and his lieutenants feared the deal would allow Microsoft to sell products using powerful OpenAI technology before it was put through enough safety testing,

They felt that OpenAI’s technology was far from ready for a large release—let alone with one of the world’s largest software companies—worrying it could malfunction or be misused for harm in ways they couldn’t predict.  

Mr. Amodei also worried the deal would tether OpenAI’s ship to just one company—Microsoft—making it more difficult for OpenAI to stay true to its founding charter’s commitment to assist another project if it got to AGI first, the former employees said.

Microsoft initially invested $1 billion in OpenAI. While the deal gave OpenAI its needed money, it came with a hitch: exclusivity. OpenAI agreed to only use Microsoft’s giant computer servers, via its Azure cloud service, to train its AI models, and to give the tech giant the sole right to license OpenAI’s technology for future products.

In a recent investment deck, Anthropic said it was “committed to large-scale commercialization” to achieve the creation of safe AGI, and that it “fully committed” to a commercial approach in September. The company was founded as an AI safety and research company and said at the time that it might look to create commercial value from its products. 

Mr. Altman “has presided over a 180-degree pivot that seems to me to be only giving lip service to concern for humanity,” he said. 

“The deal completely undermines those tenets to which they secured nonprofit status,” said Gary Marcus, an emeritus professor of psychology and neural science at New York University who co-founded a machine-learning company

The cash turbocharged OpenAI’s progress, giving researchers access to the computing power needed to improve large language models, which were trained on billions of pages of publicly available text. OpenAI soon developed a more powerful language model called GPT-3 and then sold developers access to the technology in June 2020 through packaged lines of code known as application program interfaces, or APIs. 

Mr. Altman and Mr. Amodei clashed again over the release of the API, former employees said. Mr. Amodei wanted a more limited and staged release of the product to help reduce publicity and allow the safety team to conduct more testing on a smaller group of users, former employees said. 

Mr. Amodei left the company a few months later along with several others to found a rival AI lab called Anthropic. “They had a different opinion about how to best get to safe AGI than we did,” Mr. Altman said.

Anthropic has since received more than $300 million from Google this year and released its own AI chatbot called Claude in March, which is also available to developers through an API. 

Mr. Altman shared the contract with employees as it was being negotiated, hosting all-hands and office hours to allay concerns that the partnership contradicted OpenAI’s initial pledge to develop artificial intelligence outside the corporate world, the former employees said. 

In the three years after the initial deal, Microsoft invested a total of $3 billion in OpenAI, according to investor documents. 

More than one million users signed up for ChatGPT within five days of its November release, a speed that surprised even Mr. Altman. It followed the company’s introduction of DALL-E 2, which can generate sophisticated images from text prompts.

By February, it had reached 100 million users, according to analysts at UBS, the fastest pace by a consumer app in history to reach that mark.

n’s close associates praise his ability to balance OpenAI’s priorities. No one better navigates between the “Scylla of misplaced idealism” and the “Charybdis of myopic ambition,” Mr. Thiel said. 

Mr. Altman said he delayed the release of the latest version of its model, GPT-4, from last year to March to run additional safety tests. Users had reported some disturbing experiences with the model, integrated into Bing, where the software hallucinated—meaning it made up answers to questions it didn’t know. It issued ominous warnings and made threats. 

“The way to get it right is to have people engage with it, explore these systems, study them, to learn how to make them safe,” Mr. Altman said.

After Microsoft’s initial investment is paid back, it would capture 49% of OpenAI’s profits until the profit cap, up from 21% under prior arrangements, the documents show. OpenAI Inc., the nonprofit parent, would get the rest.

He has put almost all his liquid wealth in recent years in two companies. He has put $375 million into Helion Energy, which is seeking to create carbon-free energy from nuclear fusion and is close to creating “legitimate net-gain energy in a real demo,” Mr. Altman said.

He has also put $180 million into Retro, which aims to add 10 years to the human lifespan through “cellular reprogramming, plasma-inspired therapeutics and autophagy,” or the reuse of old and damaged cell parts, according to the company. 

He noted how much easier these problems are, morally, than AI. “If you’re making nuclear fusion, it’s all upside. It’s just good,” he said. “If you’re making AI, it is potentially very good, potentially very terrible.” 

second, the people inventing them think they are potentially incredibly dangerous: ten percent of them, in fact, think they might extinguish the human species. They don’t know exactly how, but think Sorcerer’s Apprentice (or google ‘paper clip maximizer.’)

One pundit after another explains that an AI program called Deep Mind worked far faster than scientists doing experiments to uncover the basic structure of all the different proteins, which will allow quicker drug development. It’s regarded as ipso facto better because it’s faster, and hence—implicitly—worth taking the risks that come with AI.

That is, it seems to me, a dumb answer from smart people—the answer not of people who have thought hard about ethics or even outcomes, but the answer that would be supplied by a kind of cultist.

(Probably the kind with stock options).

it does go, fairly neatly, with the default modern assumption that if we can do something we should do it, which is what I want to talk about. The question that I think very few have bothered to answer is, why?

But why? The sun won’t blow up for a few billion years, meaning that if we don’t manage to drive ourselves to extinction, we’ve got all the time in the world. If it takes a generation or two for normal intelligence to come up with the structure of all the proteins, some people may die because a drug isn’t developed in time for their particular disease, but erring on the side of avoiding extinction seems mathematically sound

Allowing that we’re already good enough—indeed that our limitations are intrinsic to us, define us, and make us human—should guide us towards trying to shut down this technology before it does deep damage.

The other challenge that people cite, over and over again, to justify running the risks of AI is to “combat climate change,

As it happens, regular old intelligence has already give us most of what we need: engineers have cut the cost of solar power and windpower and the batteries to store the energy they produce so dramatically that they’re now the cheapest power on earth

We don’t actually need artificial intelligence in this case; we need natural compassion, so that we work with the necessary speed to deploy these technologies.

Beyond those, the cases become trivial, or worse

All of this is a way of saying something we don’t say as often as we should: humans are good enough. We don’t require improvement. We can solve the challenges we face, as humans.

It may take us longer than if we can employ some “new form of intelligence,” but slow and steady is the whole point of the race.

Unless, of course, you’re trying to make money, in which case “first-mover advantage” is the point

I find they often answer from something that sounds like the A.I.’s perspective. Many — not all, but enough that I feel comfortable in this characterization — feel that they have a responsibility to usher this new form of intelligence into the world.”

here’s the thing: pausing, slowing down, stopping calls on the one human gift shared by no other creature, and perhaps by no machine. We are the animal that can, if we want to, decide not to do something we’re capable of doing.

n individual terms, that ability forms the core of our ethical and religious systems; in societal terms it’s been crucial as technology has developed over the last century. We’ve, so far, reined in nuclear and biological weapons, designer babies, and a few other maximally dangerous new inventions

It’s time to say do it again, and fast—faster than the next iteration of this tech.

For decades — and particularly since the 2008 recession — politicians in both parties have mounted a strident campaign against government funding for the liberal arts. They express a growing disdain for any courses not explicitly tailored to the job market and outright contempt for the role the liberal arts-focused university has played in American society.

Former Gov. Scott Walker’s assault on higher education in Wisconsin formed the bedrock of many later conservative attacks. His work severely undermined a state university system that was once globally admired. Mr. Walker reportedly attempted to cut phrases like “the search for truth” and “public service” — as well as a call to improve “the human condition” — from the University of Wisconsin’s official mission statement

But blue states also regularly cut higher education funding, sometimes with similar rationales. In 2016, Matt Bevin, the Republican governor of Kentucky at the time, suggested that students majoring in the humanities shouldn’t receive state funding. The current secretary of education, Miguel Cardona, a Democrat, seems to barely disagree. “Every student should have access to an education that aligns with industry demands and evolves to meet the demands of tomorrow’s global work force,” he wrote in December.

Federal funding reflects those priorities. The National Endowment for the Humanities’ budget in 2022 was just $180 million. The National Science Foundation’s budget was about 50 times greater, having nearly doubled within two decades.

What were students meant to think? As the cost of higher education rose, substantially outpacing inflation since 1990, students followed funding — and what politicians repeatedly said about employability — into fields like business and computer science. Even majors in mathematics were hit by the focus on employability.

Universities took note and began culling. One recent study showed that history faculty across 28 Midwestern universities had dropped by almost 30 percent in roughly the past decade. Classics programs, including the only one at a historically Black college, were often simply eliminated.

Higher education, with broad study in the liberal arts, is meant to create not merely good workers but good citizens

this is a grim and narrow view of the purpose of higher education, merely as a tool to train workers as replaceable cogs in America’s economic machine, to generate raw material for its largest companies.

Citizens with knowledge of their history and culture are better equipped to lead and participate in a democratic society; learning in many different forms of knowledge teaches the humility necessary to accept other points of view in a pluralistic and increasingly globalized society.

In 1947, a presidential commission bemoaned an education system where a student “may have gained technical or professional training” while being “only incidentally, if at all, made ready for performing his duties as a man, a parent and a citizen.” The report recommended funding to give as many Americans as possible the sort of education that would “give to the student the values, attitudes, knowledge and skills that will equip him to live rightly and well in a free society,” which is to say the liberal arts as traditionally understood. The funding followed.

The report is true today, too

the American higher education system is returning to what it once was: liberal arts finishing schools for the wealthy and privileged, and vocational training for the rest.

Reversing this decline requires a concerted effort by both government and educational actors

renewed funding for the liberal arts — and especially the humanities — would support beleaguered departments and show students that this study is valuable and valued.

At the university level, instituting general education requirements would guarantee that even students whose majors have nothing to do with the humanities emerged from college equipped to think deeply and critically across disciplines.

Liberal arts professors must also be willing to leave their crumbling ivory towers and the parochial debates about their own career path, in order to engage directly in public life

Instead of assuming that everyone and everything sucks, we should all live like the ancient Greek cynics, who rebelled against convention in a search for truth and enlightenment.

original cynicism was a philosophical movement likely founded by Antisthenes, a student of Socrates, and popularized by Diogenes of Sinope around the fifth century B.C. It was based on a refusal to accept the assumptions and habits that discourage people from questioning conventional dogmas, and thus hold us back from the search for deep wisdom and happiness.

Modern cynics also suffer poorer health than others. In 1991, researchers studying middle-aged men found that a cynical outlook significantly increased the odds of death from both cancer and heart disease—possibly because the cynics consumed more alcohol and tobacco than the non-cynics

The modern cynic rejects things out of hand (“This is stupid”), while the ancient cynic simply withholds judgment (“This may be right or wrong”)

“Modern cynicism [has] come to describe something antithetical to its previous meanings, a psychological state hardened against both moral reflection and intellectual persuasion,”

We can most definitely conclude, however, that modern cynicism is detrimental. In one 2009 study, researchers examining negative cynical attitudes found that people who scored high in this characteristic on a personality test were roughly five times more likely to suffer from depression later in life. In other words, that smirking 25-year-old is at elevated risk of turning into a depressed 44-year-old.

Whereas a modern cynic might say, for instance, that the president is an idiot and thus his policies aren’t worth considering, the ancient cynic would examine each policy impartially.

cynical attitudes lead to being treated disrespectfully—possibly because cynics tend to show disrespect to others, leading to a vicious cycle

Scholars writing in 2015 found that, even after correcting for gender, education, and age, the least cynical people saw an average monthly increase in income of about $300 over nine years

The most cynical saw no significant income increase at all. The authors explain this pattern by noting that cynics “are more likely to forgo valuable opportunities for cooperation and consequently less likely to reap the benefits of joint efforts and mutual help.” In other words, being a misanthrope is costly.

you shouldn’t merely try to avoid cynicism in all its forms. Instead, work to become a true cynic, in its original sense.

The ancient cynics strove to live by a set of principles characterized by mindfulness, detachment from worldly cravings, the radical equality of all people, and healthy living

If this sounds like Christianity or even Buddhism, it should:

in the following centuries, the ideas of cynicism and its offshoot stoicism heavily influenced early Christian thought.

To pivot from the modern to the ancient, I recommend focusing each day on several original cynical concepts, none of which condemns the world but all of which lead us to question, and in many cases reject, worldly conventions and practices.

1. Eudaimonia (“satisfaction”)

The ancient cynics knew that lasting satisfaction cannot be derived from a constant struggle for possessions, pleasures, power, or prestige.

Happiness can come only from detaching ourselves from the world’s false promises.

Make a list of worldly rewards that are pulling at you—such as a luxury item or the admiration of others—and say out loud, “I will not be subjugated by this desire.”

2. Askesis (“discipline”)

We cannot clear our mind of confusion and obfuscation until we stop anesthetizing ourselves, whether it be with drugs and alcohol or idle distractions from real life

Each day, forgo a detrimental substance or habit. Instead of watching television after dinner, go for a walk. Instead of a cocktail, have a glass of water

This discipline promises to strengthen your will and help you adopt routines that improve your happiness.

3. Autarkeia (“self-sufficiency”)

Relying on the world—especially on getting approval from the world—makes equanimity and true freedom impossible.

Refuse to accept your craving for the high opinions of others. Think of a way that you habitually seek validation, be it for your looks, your cleverness in school, or your material prosperity. Make a plan to ignore this need completely

Note that this is not a modern-cynical practice of rejecting everything about the world; rather, you will simply be refusing to accept its conventional standards.

4. Kosmopolites (“cosmopolitanism”)

Seeing ourselves as better or worse than others sets us against one another and makes love and friendship difficult, which is self-destructive.

Start each day by reminding yourself that the world belongs equally to everyone, and resolve not to treat anyone differently because of her status

he modern cynic is miserable because he is enchained to the outside world, which oppresses him because it is corrupt

The ancient cynic, by contrast, is happy—not because she thinks the outside world is perfect (it obviously is not) but because she chooses to focus on the integrity of her interior world, over which she has control.

Socially, cryptocurrency is a coordination game; people want to have the coin that other people want to have, and some sort of abstract technical equivalence doesn’t make one cryptocurrency a good substitute for another. Social acceptance—legitimacy—is what makes a cryptocurrency valuable, and you can’t just copy the code for that.

A thing that worked exactly like Bitcoin but didn’t have Bitcoin’s lineage—didn’t descend from Satoshi’s genesis block and was just made up by some copycat—would have the same technology but none of the value.

Here’s another generalization of Bitcoin: Satoshi made up an arbitrary token that trades electronically for some price. The price turns out to be high and volatile. The price of an arbitrary token is … arbitrary?

it’s very interesting as a matter of finance theory. Modern portfolio theory demonstrates that adding an uncorrelated asset to a portfolio can improve returns and reduce risk.

To the extent that the price of Bitcoin 1) mostly goes up, though with lots of ups and downs along the way, and 2) goes up and down for reasons that are arbitrary and mysterious and not tied to, like, corporate earnings or the global economy, then Bitcoin is interesting to institutional investors.

In practice, it turns out that the price of Bitcoin is pretty correlated with the stock market, especially tech stocks

Bitcoin hasn’t been a particularly effective inflation hedge: Its price rose during years when US inflation was low, and it’s fallen this year as inflation has increased.

The right model of crypto prices might be that they go up during broad speculative bubbles when stock prices go up, and then they go down when those bubbles pop. That’s not a particularly appealing story for investors looking to diversify.

one important possibility is that the first generalization of Bitcoin, that an arbitrary tradeable electronic token can become valuable just because people want it to, permanently broke everyone’s brains about all of finance.

Before the rise of Bitcoin, the conventional thing to say about a share of stock was that its price represented the market’s expectation of the present value of the future cash flows of the business.

But Bitcoin has no cash flows; its price represents what people are willing to pay for it. Still, it has a high and fluctuating market price; people have gotten rich buying Bitcoin. So people copied that model, and the creation of and speculation on pure, abstract, scarce electronic tokens became a big business.

Tesla’s net favorability rating among Republicans has improved slightly, to 27 percentage points in November from 21 percentage points in August,

Nearly half of Germans who are contemplating or actively looking to buy a new car said the Twitter takeover had turned them away from considering a Tesla

Tesla’s sales in China through November were 59 percent higher than a year earlier, according to data from the China Passenger Car Association, but that was slower than overall growth of “new energy vehicles” — a category that includes all-electric cars and plug-in hybrids. Sales of these vehicle have doubled, while BYD, the market leader, increased its sales more than threefold

a “builder class”—a brains trust of youngish idealists, which includes Patrick Collison, co-founder of Stripe, a payments firm valued at $74bn, and other (mostly white and male) techies, who are posing questions that go far beyond the usual interests of Silicon Valley’s titans. They include the future of man and machine, the constraints on economic growth, and the nature of government.

They share other similarities. Business provided them with their clout, but doesn’t seem to satisfy their ambition

The number of techno-billionaires in America (Mr Collison included) has more than doubled in a decade.

ome of them, like the Medicis in medieval Florence, are keen to use their money to bankroll the intellectual ferment

The other is Paul Graham, co-founder of Y Combinator, a startup accelerator, whose essays on everything from cities to politics are considered required reading on tech campuses.

Mr Altman puts it more optimistically: “The iPhone and cloud computing enabled a Cambrian explosion of new technology. Some things went right and some went wrong. But one thing that went weirdly right is a lot of people got rich and said ‘OK, now what?’”

A belief that with money and brains they can reboot social progress is the essence of this new mindset, making it resolutely upbeat

The question is: are the rest of them further evidence of the tech industry’s hubristic decadence? Or do they reflect the start of a welcome capacity for renewal?

Two well-known entrepreneurs from that era provided the intellectual seed capital for some of today’s techno nerds.

Mr Thiel, a would-be libertarian philosopher and investor

This cohort of eggheads starts from common ground: frustration with what they see as sluggish progress in the world around them.

Yet the impact could ultimately be positive. Frustrations with a sluggish society have encouraged them to put their money and brains to work on problems from science funding and the redistribution of wealth to entirely new universities. Their exaltation of science may encourage a greater focus on hard tech

the rationalist movement has hit the mainstream. The result is a fascination with big ideas that its advocates believe goes beyond simply rose-tinted tech utopianism

A burgeoning example of this is “progress studies”, a movement that Mr Collison and Tyler Cowen, an economist and seer of the tech set, advocated for in an article in the Atlantic in 2019

Progress, they think, is a combination of economic, technological and cultural advancement—and deserves its own field of study

There are other examples of this expansive worldview. In an essay in 2021 Mr Altman set out a vision that he called “Moore’s Law for Everything”, based on similar logic to the semiconductor revolution. In it, he predicted that smart machines, building ever smarter replacements, would in the coming decades outcompete humans for work. This would create phenomenal wealth for some, obliterate wages for others, and require a vast overhaul of taxation and redistribution

His two bets, on OpenAI and nuclear fusion, have become fashionable of late—the former’s chatbot, ChatGPT, is all the rage. He has invested $375m in Helion, a company that aims to build a fusion reactor.

Mr Lonsdale, who shares a libertarian streak with Mr Thiel, has focused attention on trying to fix the shortcomings of society and government. In an essay this year called “In Defence of Us”, he argues against “historical nihilism”, or an excessive focus on the failures of the West.

With a soft spot for Roman philosophy, he has created the Cicero Institute in Austin that aims to inject free-market principles such as competition and transparency into public policy.