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“The Party has increasingly treated ‘stability maintenance’ — a euphemism for social control — as an overarching priority, and devoted enormous resources to security agencies for monitoring dissidents, breaking up protests, censoring the internet, and developing and implementing mass surveillance systems,” she wrote in a recent paper.

“Once these systems are in place, those involved in its developments — particularly companies with money to be made — argue for their expansion or their wider use, a phenomenon known as ‘mission creep.’ What initially started as a system to crack down on crime — which is already a dubious and vague enough justification to encompass political crimes in China — is now used for other purposes including for fighting the coronavirus outbreak.”

one of the leading modelers, Gabriela Gomes, suggested the entire area of research was being effectively blackballed out of fear it might encourage a relaxation of pandemic vigilance. “This is the very sad reason for the absence of more optimistic projections on the development of this pandemic in the scientific literature,” she wrote on Twitter. “Our analysis suggests that herd-immunity thresholds are being achieved despite strict social-distancing measures.”

Gomes suggested, herd immunity could happen with as little as one quarter of the population of a community exposed — or perhaps just 20 percent. “We just keep running the models, and it keeps coming back at less than 20 percent,” she told Hamblin. “It’s very striking.” Such findings, if they held up, would be very instructive, as Hamblin writes: “It would mean, for instance, that at 25 percent antibody prevalence, New York City could continue its careful reopening without fear of another major surge in cases.”

But for those hoping that 25 percent represents a true ceiling for pandemic spread in a given community, well, it almost certainly does not, considering that recent serological surveys have shown that perhaps 93 percent of the population of Iquitos, Peru, has contracted the disease; as have more than half of those living in Indian slums; and as many as 68 percent in particular neighborhoods of New York City

overshoot of that scale would seem unlikely if the “true” threshold were as low as 20 or 25 percent.

But, of course, that threshold may not be the same in all places, across all populations, and is surely affected, to some degree, by the social behavior taken to protect against the spread of the disease.

we probably err when we conceive of group immunity in simplistically binary terms. While herd immunity is a technical term referring to a particular threshold at which point the disease can no longer spread, some amount of community protection against that spread begins almost as soon as the first people are exposed, with each case reducing the number of unexposed and vulnerable potential cases in the community by one

you would not expect a disease to spread in a purely exponential way until the point of herd immunity, at which time the spread would suddenly stop. Instead, you would expect that growth to slow as more people in the community were exposed to the disease, with most of them emerging relatively quickly with some immune response. Add to that the effects of even modest, commonplace protections — intuitive social distancing, some amount of mask-wearing — and you could expect to get an infection curve that tapers off well shy of 60 percent exposure.

Looking at the data, we see that transmissions in many severely impacted states began to slow down in July, despite limited interventions. This is especially notable in states like Arizona, Florida, and Texas. While we believe that changes in human behavior and changes in policy (such as mask mandates and closing of bars/nightclubs) certainly contributed to the decrease in transmission, it seems unlikely that these were the primary drivers behind the decrease. We believe that many regions obtained a certain degree of temporary herd immunity after reaching 10-35 percent prevalence under the current conditions. We call this 10-35 percent threshold the effective herd immunity threshold.

Indeed, that is more or less what was recently found by Youyang Gu, to date the best modeler of pandemic spread in the U.S

he cautioned again that he did not mean to imply that the natural herd-immunity level was as low as 10 percent, or even 35 percent. Instead, he suggested it was a plateau determined in part by better collective understanding of the disease and what precautions to take

Gu estimates national prevalence as just below 20 percent (i.e., right in the middle of his range of effective herd immunity), it still counts, I think, as encouraging — even if people in hard-hit communities won’t truly breathe a sigh of relief until vaccines arrive.

If you can get real protection starting at 35 percent, it means that even a mediocre vaccine, administered much more haphazardly to a population with some meaningful share of vaccination skeptics, could still achieve community protection pretty quickly. And that is really significant — making both the total lack of national coordination on rollout and the likely “vaccine wars” much less consequential.

At least 20 percent of the public, and perhaps 50 percent, had some preexisting, cross-protective T-cell response to SARS-CoV-2, according to one much-discussed recent paper. An earlier paper had put the figure at between 40 and 60 percent. And a third had found an even higher prevalence: 81 percent.

The T-cell story is similarly encouraging in its big-picture implications without being necessarily paradigm-changing

These numbers suggest their own heterogeneity — that different populations, with different demographics, would likely exhibit different levels of cross-reactive T-cell immune response

The most optimistic interpretation of the data was given to me by Francois Balloux, a somewhat contrarian disease geneticist and the director of the University College of London’s Genetics Institute

According to him, a cross-reactive T-cell response wouldn’t prevent infection, but would probably mean a faster immune response, a shorter period of infection, and a “massively” reduced risk of severe illness — meaning, he guessed, that somewhere between a third and three-quarters of the population carried into the epidemic significant protection against its scariest outcomes

the distribution of this T-cell response could explain at least some, and perhaps quite a lot, of COVID-19’s age skew when it comes to disease severity and mortality, since the young are the most exposed to other coronaviruses, and the protection tapers as you get older and spend less time in environments, like schools, where these viruses spread so promiscuously.

Balloux told me he believed it was also possible that the heterogeneous distribution of T-cell protection also explains some amount of the apparent decline in disease severity over time within countries on different pandemic timelines — a phenomenon that is more conventionally attributed to infection spreading more among the young, better treatment, and more effective protection of the most vulnerable (especially the old).

Going back to Youyang Gu’s analysis, what he calls the “implied infection fatality rate” — essentially an estimated ratio based on his modeling of untested cases — has fallen for the country as a whole from about one percent in March to about 0.8 percent in mid-April, 0.6 percent in May, and down to about 0.25 percent today.

even as we have seemed to reach a second peak of coronavirus deaths, the rate of death from COVID-19 infection has continued to decline — total deaths have gone up, but much less than the number of cases

In other words, at the population level, the lethality of the disease in America has fallen by about three-quarters since its peak. This is, despite everything that is genuinely horrible about the pandemic and the American response to it, rather fantastic.

there may be some possible “mortality displacement,” whereby the most severe cases show up first, in the most susceptible people, leaving behind a relatively protected population whose experience overall would be more mild, and that T-cell response may play a significant role in determining that susceptibility.

That, again, is Balloux’s interpretation — the most expansive assessment of the T-cell data offered to me

The most conservative assessment came from Sarah Fortune, the chair of Harvard’s Department of Immunology

Fortune cautioned not to assume that cross-protection was playing a significant role in determining severity of illness in a given patient. Those with such a T-cell response, she told me, would likely see a faster onset of robust response, yes, but that may or may not yield a shorter period of infection and viral shedding

Most of the scientists, doctors, epidemiologists, and immunologists I spoke to fell between those two poles, suggesting the T-cell cross-immunity findings were significant without necessarily being determinative — that they may help explain some of the shape of pandemic spread through particular populations, but only some of the dynamics of that spread.

he told me he believed, in the absence of that data, that T-cell cross-immunity from exposure to previous coronaviruses “might explain different disease severity in different people,” and “could certainly be part of the explanation for the age skew, especially for why the very young fare so well.”

the headline finding was quite clear and explicitly stated: that preexisting T-cell response came primarily via the variety of T-cells called CD4 T-cells, and that this dynamic was consistent with the hypothesis that the mechanism was inherited from previous exposure to a few different “common cold” coronaviruses

“This potential preexisting cross-reactive T-cell immunity to SARS-CoV-2 has broad implications,” the authors wrote, “as it could explain aspects of differential COVID-19 clinical outcomes, influence epidemiological models of herd immunity, or affect the performance of COVID-19 candidate vaccines.”

“This is at present highly speculative,” they cautioned.

Taking cues from Éric Rohmer’s summertime romantic comedy-dramas, Petzold fills much of the film with routine errands, trips to the beach, and aimless conversations over dinner—scenes of leisure and languor that appear plotless.

In Afire, Petzold revisits the question posed in Transit. Does the search for humanity in cataclysm—a pursuit that can take over one’s life—make us, conversely, less human?

With the events in the last act of Afire, Leon finally possesses “real experience” of the sort that can rescue him from his solipsistic writing. His writing and conduct outwardly improve at a rapid clip. The newly mature Leon is thoughtful and expansive, yet there is something garish about his transformation at the eleventh hour.

The characters of Afire confront a crisis that threatens to vacate all narratives of meaning, and Leon comes out the other end with a feeble text. It’s better than what came before, but can it begin to make sense of what has taken place? This time, the atrocity is not historical but natural, and Petzold is cynical about the redemptive potential of melodrama in an age in which disasters, if still largely caused by human decisions, unfold beyond the grasp of our control. If he wants Leon to scrutinize the stories he tells about himself, the ending of Afire suggests that there is a possibility he finds even more concerning: a future with no stories at all.

"When we innovate, we have to depart from existing solutions and come up with new ideas by drawing broadly from our knowledge. Coming up with alternative ways to use known objects requires the same psychological process," she explained.

Researchers also used eye-tracking software, which found that virtual participants spent more time looking directly at their partner, as opposed to gazing around the room.

"This visual focus on the screen narrows cognition. In other words, people are more focused when interacting on video, which hurts the broad, expansive idea generation process," Brucks said.

"Objects in the room can prompt new associations easier than trying to generate them all internally,"

"The field study shows that the negative effects of videoconferencing on idea generation is not limited to simplistic tasks and can play out in more complicated and high-tech brainstorming sessions as well," she said.

The study found that videoconferencing didn't hinder all collaborative work

However, she said it was a mistake to conclude that creativity and videoconferencing are incompatible.

"Perhaps many of us make friends faster in person than over Zoom, and creativity flourishes when we're relaxed. But when Zooming from home, people are probably more relaxed than when in an experiment," she added.

"I wouldn't want to see a company double their in-person meetings hoping to improve their innovation, if this also means doubling the commute time resulting in less happy -- and perhaps less creative -- employees."

economist J. Bradford DeLong ’82, Ph.D. ’87, looking back on the twentieth century two decades after its end, comes to a similar conclusion but on different grounds.

DeLong, professor of economics at Berkeley, looks to matters of “contingency” and “choice”: at key junctures the economy suffered “bad luck,” and the actions taken by the responsible policymakers were “incompetent.”

these were “the most consequential years of all humanity’s centuries.” The changes they saw, while in the first instance economic, also “shaped and transformed nearly everything sociological, political, and cultural.”

DeLong’s look back over the twentieth century energetically encompasses political and social trends as well; nor is his scope limited to the United States. The result is a work of strikingly expansive breadth and scope

labeling the book an economic history fails to convey its sweeping frame.

The century that is DeLong’s focus is what he calls the “long twentieth century,” running from just after the Civil War to the end of the 2000s when a series of events, including the biggest financial crisis since the 1930s followed by likewise the most severe business downturn, finally rendered the advanced Western economies “unable to resume economic growth at anything near the average pace that had been the rule since 1870.

d behind those missteps in policy stood not just failures of economic thinking but a voting public that reacted perversely, even if understandably, to the frustrations poor economic outcomes had brought them.

Within this 140-year span, DeLong identifies two eras of “El Dorado” economic growth, each facilitated by expanding globalization, and each driven by rapid advances in technology and changes in business organization for applying technology to economic ends

from 1870 to World War I, and again from World War II to 197

fellow economist Robert J. Gordon ’62, who in his monumental treatise on The Rise and Fall of American Economic Growth (reviewed in “How America Grew,” May-June 2016, page 68) hailed 1870-1970 as a “special century” in this regard (interrupted midway by the disaster of the 1930s).

Gordon highlighted the role of a cluster of once-for-all-time technological advances—the steam engine, railroads, electrification, the internal combustion engine, radio and television, powered flight

Pessimistic that future technological advances (most obviously, the computer and electronics revolutions) will generate productivity gains to match those of the special century, Gordon therefore saw little prospect of a return to the rapid growth of those halcyon days.

DeLong instead points to a series of noneconomic (and non-technological) events that slowed growth, followed by a perverse turn in economic policy triggered in part by public frustration: In 1973 the OPEC cartel tripled the price of oil, and then quadrupled it yet again six years later.

For all too many Americans (and citizens of other countries too), the combination of high inflation and sluggish growth meant that “social democracy was no longer delivering the rapid progress toward utopia that it had delivered in the first post-World War II generation.”

Frustration over these and other ills in turn spawned what DeLong calls the “neoliberal turn” in public attitudes and economic policy. The new economic policies introduced under this rubric “did not end the slowdown in productivity growth but reinforced it.

the tax and regulatory changes enacted in this new climate channeled most of what economic gains there were to people already at the top of the income scale

Meanwhile, progressive “inclusion” of women and African Americans in the economy (and in American society more broadly) meant that middle- and lower-income white men saw even smaller gains—and, perversely, reacted by providing still greater support for policies like tax cuts for those with far higher incomes than their own.

Daniel Bell’s argument in his 1976 classic The Cultural Contradictions of Capitalism. Bell famously suggested that the very success of a capitalist economy would eventually undermine a society’s commitment to the values and institutions that made capitalism possible in the first plac

In DeLong’s view, the “greatest cause” of the neoliberal turn was “the extraordinary pace of rising prosperity during the Thirty Glorious Years, which raised the bar that a political-economic order had to surpass in order to generate broad acceptance.” At the same time, “the fading memory of the Great Depression led to the fading of the belief, or rather recognition, by the middle class that they, as well as the working class, needed social insurance.”

what the economy delivered to “hard-working white men” no longer matched what they saw as their just deserts: in their eyes, “the rich got richer, the unworthy and minority poor got handouts.”

As Bell would have put it, the politics of entitlement, bred by years of economic success that so many people had come to take for granted, squeezed out the politics of opportunity and ambition, giving rise to the politics of resentment.

The new era therefore became “a time to question the bourgeois virtues of hard, regular work and thrift in pursuit of material abundance.”

DeLong’s unspoken agenda would surely include rolling back many of the changes made in the U.S. tax code over the past half-century, as well as reinvigorating antitrust policy to blunt the dominance, and therefore outsize profits, of the mega-firms that now tower over key sectors of the economy

He would also surely reverse the recent trend moving away from free trade. Central bankers should certainly behave like Paul Volcker (appointed by President Carter), whose decisive action finally broke the 1970s inflation even at considerable economic cost

Not only Galbraith’s main themes but many of his more specific observations as well seem as pertinent, and important, today as they did then.

What will future readers of Slouching Towards Utopia conclude?

If anything, DeLong’s narratives will become more valuable as those events fade into the past. Alas, his description of fascism as having at its center “a contempt for limits, especially those implied by reason-based arguments; a belief that reality could be altered by the will; and an exaltation of the violent assertion of that will as the ultimate argument” will likely strike a nerve with many Americans not just today but in years to come.

what about DeLong’s core explanation of what went wrong in the latter third of his, and our, “long century”? I predict that it too will still look right, and important.

we’re networked organisms who move around in shifting surroundings, environments that have the power to transform our thinking

Annie Murphy Paul’s new book, “The Extended Mind,” which exhorts us to use our entire bodies, our surroundings and our relationships to “think outside the brain.”

In 2011, she published “Origins,” which focused on all the ways we are shaped by the environment, before birth and minute to minute thereafter.

“In the nature-nurture dynamic, nurture begins at the time of conception. The food the mother eats, the air she breathes, the water she drinks, the stress or trauma she experiences — all may affect her child for better or worse, over the decades to come.”

a down-to-earth take on the science of epigenetics — how environmental signals become catalysts for gene expression

the parallel to this latest book is that the boundaries we commonly assume to be fixed are actually squishy. The moment of a child’s birth, her I.Q. scores or fMRI snapshots of what’s going on inside her brain — all are encroached upon and influenced by outside forces.

awareness of our internal signals, such as exactly when our hearts beat, or how cold and clammy our hands are, can boost our performance at the poker table or in the financial markets, and even improve our pillow talk

“Though we typically think of the brain as telling the body what to do, just as much does the body guide the brain with an array of subtle nudges and prods. One psychologist has called this guide our ‘somatic rudder,’

The “body scan” aspect of mindfulness meditation that has been deployed by the behavioral medicine pioneer Jon Kabat-Zinn may help people lower their heart rates and blood pressure,

techniques that help us pinpoint their signals can foster well-being

Tania Singer has shown how the neural circuitry underlying compassion is strengthened by meditation practice

our thoughts “are powerfully shaped by the way we move our bodies.” Gestures help us understand spatial concepts; indeed, “without gesture as an aid, students may fail to understand spatial ideas at all,”

looking out on grassy expanses near loose clumps of trees and a source of water helps us solve problems. “Passive attention,” she writes, is “effortless: diffuse and unfocused, it floats from object to object, topic to topic. This is the kind of attention evoked by nature, with its murmuring sounds and fluid motions; psychologists working in the tradition of James call this state of mind ‘soft fascination.’”

The chapters on the ways natural and built spaces reflect universal preferences and enhance the thinking process felt like a respite