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If a black man is carrying a weapon, the chance is 0.00075. One is too many, but it seems to me important to get the scale of this right. Our perceptions are not reality.

I have no doubt at all that Kaepernick and Reid are sincere, and I absolutely defend their right to protest in the way they have, and am disgusted by the president’s response. But on the deaths of unarmed black men, the left-liberal characterization of the problem just does not match the statistical reality.

A Cornell Ph.D. student, Philippe Lemoine, has dug into exactly that: by examining the data from the Police-Public Contact Survey, conducted by the Bureau of Justice Statistics. This is testimony from black people themselves, not the police; it’s far less tainted than self-serving police records.

It’s a big survey — around 150,000 people, including 16,000 African-Americans.

are black men in America disproportionately likely to have contact with the police? Surprisingly, no. In the survey years that Lamoine looked at, 20.7 percent of white men say they interacted at least once with a cop, compared with 17.5 percent of black men.

black men (1.5 percent) are indeed more likely than whites (1.2 percent) to have more than three contacts with police per year — but it’s not a huge difference.

You could also argue that lynching was statistically very rare in the past, but it instilled a real terror that belied this real fact.

If you restrict it to physical violence, the data is worse: Of men who have had at least one encounter with the police in a given year, 0.9 percent of white men reported the use of violence, compared with 3.4 percent of black men.

I think it shows the following: that police violence against black men, very broadly defined, is twice as common as against white men, and narrowly defined as physical force, three times as common, but that there’s no racial difference in police violence that might lead to physical harm, and all such violence is rare.

On the key measure of use of force by the cops, however, black men with at least one encounter with cops are more than twice as likely to report the use of force as whites (one percent versus 0.4 percent). That’s the nub of it. “Force,” by the way, includes a verbal threat of it, as well as restraining, or subduing.

Is “rare” a fair judgment? It’s certainly a subjective one, and I do not know how I would feel if there were a 0.5 percent chance that any time I encountered a cop, I could be subjected to physical violence, as opposed to the 0.2 percent chance that I, as a white man, experience.

What makes it worse for black men, of course, is something called history, in which any violence by the state rightly comes with immensely more emotional and political resonance — and geography. Police violence may be rare across the entire country, but it is concentrated in urban pockets, where the atmosphere is therefore more fearful — and there’s a natural tendency to extrapolate from that context.

Specific horrifying incidents — like Alton Sterling’s death — operate in our psyches the way 9/11 does. It understandably terrified Eric Reid — but also distorted his assessment of the actual risk that one of his family members could suffer the same fate.

It’s true, too, that the huge racial discrepancy in the prison population affects our judgment.

the 3.4 percent of black men who experience violence at the hands of the police are 3.4 percent of the 17.5 percent of those who have at least one encounter with the cops, i.e., 0.5 percent of all black men.)

we’re not talking about extralegal lynchings by civilians, in the context of slavery or segregation or state-imposed discrimination. We’re talking about instantaneous decisions by cops, often in contexts where their own lives are at stake as well. Their perspective — and many of these cops are also African-American — matters as well.

This is the balance we have to strike. We can and should honor the spirit of the protests. But we cannot allow ourselves to let emotion, however justified, overwhelm reality

t the election wasn’t just an anti-May vote. It was also a pro-Corbyn one, especially among the rising generation. Millennials, having never experienced socialism, love it. And Corbyn is on the leftist edge of socialism. He’s for huge increases in taxation and public spending, he promises free college for all, he wants to instate rent controls across Britain’s major cities, and, in his speech last Wednesday, he described gentrification as “social cleansing.”

Most of his proposals would add mountains of debt to the British economy, and he doesn’t really care. Austerity is so over.

This makes him a bigger leap to the left than Trump is to the right. It’s as if Roy Moore were the GOP nominee — and leading in the polls.

another key factor is Corbyn’s effortless Englishness. He is a very specific character — a very English leftist. He’s mild-mannered in speech, even as his ideas are radical. In the last election campaign, he came off as an ordinary man of the people

Evolutionary biology, neuroscience, and psychology are the foundation of Buddhism Is True. And I find much of it both intellectually convincing, and also recognizable with my own developing practice.

versky died in 1996. Kahneman won the 2002 Nobel Prize in Economics for the work the two men did together, which he summarized in his 2011 best seller, Thinking, Fast and Slow. Another best seller, last year’s The Undoing Project, by Michael Lewis, tells the story of the sometimes contentious collaboration between Tversky and Kahneman

Another key figure in the field is the University of Chicago economist Richard Thaler. One of the biases he’s most linked with is the endowment effect, which leads us to place an irrationally high value on our possessions.

In an experiment conducted by Thaler, Kahneman, and Jack L. Knetsch, half the participants were given a mug and then asked how much they would sell it for. The average answer was $5.78. The rest of the group said they would spend, on average, $2.21 for the same mug. This flew in the face of classic economic theory, which says that at a given time and among a certain population, an item has a market value that does not depend on whether one owns it or not. Thaler won the 2017 Nobel Prize in Economics.

“The question that is most often asked about cognitive illusions is whether they can be overcome. The message … is not encouraging.”

Kahneman and others draw an analogy based on an understanding of the Müller-Lyer illusion, two parallel lines with arrows at each end. One line’s arrows point in; the other line’s arrows point out. Because of the direction of the arrows, the latter line appears shorter than the former, but in fact the two lines are the same length.

In this context, his pessimism relates, first, to the impossibility of effecting any changes to System 1—the quick-thinking part of our brain and the one that makes mistaken judgments tantamount to the Müller-Lyer line illusion

that’s not so easy in the real world, when we’re dealing with people and situations rather than lines. “Unfortunately, this sensible procedure is least likely to be applied when it is needed most,” Kahneman writes. “We would all like to have a warning bell that rings loudly whenever we are about to make a serious error, but no such bell is available.”

Because biases appear to be so hardwired and inalterable, most of the attention paid to countering them hasn’t dealt with the problematic thoughts, judgments, or predictions themselves

Is it really impossible, however, to shed or significantly mitigate one’s biases? Some studies have tentatively answered that question in the affirmative.

what if the person undergoing the de-biasing strategies was highly motivated and self-selected? In other words, what if it was me?

I met with Kahneman

Confirmation bias shows up most blatantly in our current political divide, where each side seems unable to allow that the other side is right about anything.

Over an apple pastry and tea with milk, he told me, “Temperament has a lot to do with my position. You won’t find anyone more pessimistic than I am.”

“I see the picture as unequal lines,” he said. “The goal is not to trust what I think I see. To understand that I shouldn’t believe my lying eyes.” That’s doable with the optical illusion, he said, but extremely difficult with real-world cognitive biases.

he most effective check against them, as Kahneman says, is from the outside: Others can perceive our errors more readily than we can.

“slow-thinking organizations,” as he puts it, can institute policies that include the monitoring of individual decisions and predictions. They can also require procedures such as checklists and “premortems,”

A premortem attempts to counter optimism bias by requiring team members to imagine that a project has gone very, very badly and write a sentence or two describing how that happened. Conducting this exercise, it turns out, helps people think ahead.

“My position is that none of these things have any effect on System 1,” Kahneman said. “You can’t improve intuition.

Perhaps, with very long-term training, lots of talk, and exposure to behavioral economics, what you can do is cue reasoning, so you can engage System 2 to follow rules. Unfortunately, the world doesn’t provide cues. And for most people, in the heat of argument the rules go out the window.

Kahneman describes an even earlier Nisbett article that showed subjects’ disinclination to believe statistical and other general evidence, basing their judgments instead on individual examples and vivid anecdotes. (This bias is known as base-rate neglect.)

over the years, Nisbett had come to emphasize in his research and thinking the possibility of training people to overcome or avoid a number of pitfalls, including base-rate neglect, fundamental attribution error, and the sunk-cost fallacy.

we’ve tested Michigan students over four years, and they show a huge increase in ability to solve problems. Graduate students in psychology also show a huge gain.”

about half give the right answer: the law of large numbers, which holds that outlier results are much more frequent when the sample size (at bats, in this case) is small. Over the course of the season, as the number of at bats increases, regression to the mean is inevitabl

When Nisbett asks the same question of students who have completed the statistics course, about 70 percent give the right answer. He believes this result shows, pace Kahneman, that the law of large numbers can be absorbed into System 2—and maybe into System 1 as well, even when there are minimal cues.

Nisbett’s second-favorite example is that economists, who have absorbed the lessons of the sunk-cost fallacy, routinely walk out of bad movies and leave bad restaurant meals uneaten.

When Nisbett has to give an example of his approach, he usually brings up the baseball-phenom survey. This involved telephoning University of Michigan students on the pretense of conducting a poll about sports, and asking them why there are always several Major League batters with .450 batting averages early in a season, yet no player has ever finished a season with an average that high.

, “I know from my own research on teaching people how to reason statistically that just a few examples in two or three domains are sufficient to improve people’s reasoning for an indefinitely large number of events.”

isbett suggested another factor: “You and Amos specialized in hard problems for which you were drawn to the wrong answer. I began to study easy problems, which you guys would never get wrong but untutored people routinely do … Then you can look at the effects of instruction on such easy problems, which turn out to be huge.”

Nisbett suggested that I take “Mindware: Critical Thinking for the Information Age,” an online Coursera course in which he goes over what he considers the most effective de-biasing skills and concepts. Then, to see how much I had learned, I would take a survey he gives to Michigan undergraduates. So I did.

he course consists of eight lessons by Nisbett—who comes across on-screen as the authoritative but approachable psych professor we all would like to have had—interspersed with some graphics and quizzes. I recommend it. He explains the availability heuristic this way: “People are surprised that suicides outnumber homicides, and drownings outnumber deaths by fire. People always think crime is increasing” even if it’s not.

When I finished the course, Nisbett sent me the survey he and colleagues administer to Michigan undergrads

It contains a few dozen problems meant to measure the subjects’ resistance to cognitive biases

I got it right. Indeed, when I emailed my completed test, Nisbett replied, “My guess is that very few if any UM seniors did as well as you. I’m sure at least some psych students, at least after 2 years in school, did as well. But note that you came fairly close to a perfect score.”

In 2006, seeking to prevent another mistake of that magnitude, the U.S. government created the Intelligence Advanced Research Projects Activity (iarpa), an agency designed to use cutting-edge research and technology to improve intelligence-gathering and analysis. In 2011, iarpa initiated a program, Sirius, to fund the development of “serious” video games that could combat or mitigate what were deemed to be the six most damaging biases: confirmation bias, fundamental attribution error, the bias blind spot (the feeling that one is less biased than the average person), the anchoring effect, the representativeness heuristic, and projection bias (the assumption that everybody else’s thinking is the same as one’s own).

For his part, Nisbett insisted that the results were meaningful. “If you’re doing better in a testing context,” he told me, “you’ll jolly well be doing better in the real world.”

The New York–based NeuroLeadership Institute offers organizations and individuals a variety of training sessions, webinars, and conferences that promise, among other things, to use brain science to teach participants to counter bias. This year’s two-day summit will be held in New York next month; for $2,845, you could learn, for example, “why are our brains so bad at thinking about the future, and how do we do it better?”

Philip E. Tetlock, a professor at the University of Pennsylvania’s Wharton School, and his wife and research partner, Barbara Mellers, have for years been studying what they call “superforecasters”: people who manage to sidestep cognitive biases and predict future events with far more accuracy than the pundits

One of the most important ingredients is what Tetlock calls “the outside view.” The inside view is a product of fundamental attribution error, base-rate neglect, and other biases that are constantly cajoling us into resting our judgments and predictions on good or vivid stories instead of on data and statistics

most promising are a handful of video games. Their genesis was in the Iraq War

Nevertheless, I did not feel that reading Mindware and taking the Coursera course had necessarily rid me of my biases

Together with collaborators who included staff from Creative Technologies, a company specializing in games and other simulations, and Leidos, a defense, intelligence, and health research company that does a lot of government work, Morewedge devised Missing. Some subjects played the game, which takes about three hours to complete, while others watched a video about cognitive bias. All were tested on bias-mitigation skills before the training, immediately afterward, and then finally after eight to 12 weeks had passed.

he said he saw the results as supporting the research and insights of Richard Nisbett. “Nisbett’s work was largely written off by the field, the assumption being that training can’t reduce bias,

“The literature on training suggests books and classes are fine entertainment but largely ineffectual. But the game has very large effects. It surprised everyone.”

even the positive results reminded me of something Daniel Kahneman had told me. “Pencil-and-paper doesn’t convince me,” he said. “A test can be given even a couple of years later. But the test cues the test-taker. It reminds him what it’s all about.”

Morewedge told me that some tentative real-world scenarios along the lines of Missing have shown “promising results,” but that it’s too soon to talk about them.

In the future, I will monitor my thoughts and reactions as best I can

it makes no sense to compare the federal budget to a family budget, which is what the Consumer Price Index is based on. One needs to use a broader index, like the gross domestic product deflator, which measures price changes throughout the entire economy.

For large numbers, the percentage of the gross domestic product is both the easiest to find and best to use.

Since the “burden” of the debt basically falls on the entire economy, the debt-to-G.D.P. ratio is generally considered the best measure of that burden. It also facilitates international comparisons without having to worry about exchange-rate adjustments.

international price comparisons can be especially tricky because current market exchange rates may not accurately reflect relative values or standards of living. Economists generally prefer to use something called “purchasing power parity,” but such data is not always easy to come by

There is much more to say on this topic. I recommend an essay on the Measuring Worth website that discusses different measures of value over time and how they materially affect our perceptions. There are also new statistical measures coming online that may provide even better data, like the Billion Prices Project from M.I.T., which gathers price data in real time directly from store price scanners.

This is an area where trial and error is the best strategy. The important thing is to make an effort to provide proper context where it appears necessary and not to simply ignore the problem.

Like the college-admissions officer of his nightmares, he just finds race too useful as shorthand to refrain from giving "special treatment" based on skin color. But only when the "special treatment" unfairly disadvantages blacks -- never when it advantages them.

I nevertheless find it perverse that he insists on the scrupulous treatment of young black males as individuals anytime they would benefit from group preferences, and then, when they'd most benefit from being treated as individuals rather than dark-skinned objects of suspicion, he prejudges all young black males based on statistics about the racial group to which they belong.

For Hanson, it is a miscarriage of justice worth lamenting if an Asian-American applicant to UC Berkeley loses a spot to a black applicant due to racial preferences

What is the likely result of that injustice? The Asian-American applicant must attend UCLA or UCI.

What are the consequences of racial-profiling, the form of individuality-effacement Hanson defends? Countless innocent black men -- that is to say, the vast majority who will never rob or assault anyone -- walking around under constant, unjust suspicion from fellow citizens and law enforcement; heightened racial tension across America; prejudice passed down across generations; and some innocent blacks killed while under wrongful suspicion.

Propriety of scale in all human undertakings is paramount, and we ignore it. We are now betting our lives on quantities that far exceed all our powers of comprehension. We believe that we have built a perhaps limitless power of comprehension into computers and other machines, but our minds remain as limited as ever. Our trust that machines can manipulate to humane effect quantities that are unintelligible and unimaginable to humans is incorrigibly strange.

We cannot know the whole truth, which belongs to God alone, but our task nevertheless is to seek to know what is true. And if we offend gravely enough against what we know to be true, as by failing badly enough to deal affectionately and responsibly with our land and our neighbors, truth will retaliate with ugliness, poverty, and disease. The crisis of this line of thought is the realization that we are at once limited and unendingly responsible for what we know and do.

It is a horrible fact that we can read in the daily paper, without interrupting our breakfast, numerical reckonings of death and destruction that ought to break our hearts or scare us out of our wits. This brings us to an entirely practical question:  Can we—and, if we can, how can we—make actual in our minds the sometimes urgent things we say we know? This obviously cannot be accomplished by a technological breakthrough, nor can it be accomplished by a big thought. Perhaps it cannot be accomplished at all.

In 2008, Asian Americans composed 27 percent of Harvard’s applicant pool, 46 percent of applicants who earned above 2200 on the SAT and 55 percent of those students who earned about 2300 and sent scores to Harvard. … “In light of Harvard’s discriminatory admissions policies, [Asian Americans] are competing only against each other, and all other racial and ethnic groups are insulated from competing against high-achieving Asian Americans,”

It may well be salutary for universities to experiment with different means of achieving a diverse student body. At least some may find formally race-neutral means that work well. What these lawsuits seek, however, is not merely to encourage experimentation but to forbid taking race into account altogether. That is a different story.

the argument that affirmative action is categorically illegal under the Fourteenth Amendment or the Civil Rights Act is simply wrong. Neither text explicitly forbids affirmative action. And it is illogical — not to mention ahistorical — to argue that racial classifications intended to promote diversity are the legal equivalent of racial classifications that sought to uphold a white supremacist caste system. Opponents of affirmative action are hardly underrepresented in the ordinary political process, and this is where they should make their case.

Yes, the suits seek an end to all affirmative action. But the courts could provide a less extreme remedy that both gave Asian-American candidates a fair shake and kept a race-neutral way of encouraging diversity.

The way Jeff Yang sees it, this lawsuit isn’t really about helping Asians in the first place. After all, “Jane Dou” – as he calls the rejected Harvard hopeful – “didn’t end up at the center of the Harvard suit accidentally”: She was discovered through a broad-based campaign conducted by SFFA founder Edward Blum — a frustrated Republican congressional candidate who has chosen to make a career out of waging war on laws and policies that give “special privileges” to minorities.

What this lawsuit is really is just the latest attempt to derail an apparatus that has given hundreds of thousands of blacks, Hispanics and, yes, Asians a means to climb out of circumstances defined by our society’s historical racism.

armchair epidemiology, which Slate described as “convincing but flawed epidemiological analyses.”

The prime example is a Medium blog post titled “Covid-19 — Evidence Over Hysteria” by Aaron Ginn, a Silicon Valley product manager and “growth hacker” who argued against the severity of the virus and condemned the mainstream media for hyping it.

Conservative pundits, who’d spent weeks downplaying the seriousness of the virus, were drawn to Mr. Ginn’s conclusion that “shuttering the local economy is a distraction and arbitrary with limited accretive gain outside of greatly annoying millions and bankrupting hundreds of businesses.”

The Fox News political analyst Brit Hume tweeted the post, and then so did the anchors Bret Baier and Laura Ingraham. Within hours, the blog post was amplified across conservative media.

“I am seeing this playbook more and more,” Dr. Bergstrom said. “Secondhand data showing a crisis narrative that feels just a bit too well crafted. Mixing the truth with the plausible and the plausible with that which seems plausibly true in a week.”

Epidemiologists disagreed, pointing to some of Mr. Ginn’s assumptions as “unsubstantiated” and ignorant of “first-chapter-of-the-epidemiology-textbook stuff.”

After a 31-tweet thread from the infectious-disease expert Carl Bergstrom debunking Mr. Ginn’s data as cherry-picked, Medium took the post down, prompting a backlash in conservative spheres. More than two million people had already viewed it.

Mr. Ginn’s post, which seems informed by his reflexive skepticism of the mainstream media, filled two needs for readers: It offered a scientific-seeming explanation that real scientists would not provide. And it provided a political foil, the media.

This, according to Dr. Bergstrom, is what makes armchair epidemiology so harmful. Posts like Mr. Ginn’s “deplete the critical resource you need to manage the pandemic, which is trust,

“When people are getting conflicting messages, it makes it very hard for state and local authorities to generate the political will to take strong actions downstream.”

At first glance, the piece looked quite convincing. Mr. Ginn drew heavily from charts from the C.D.C., Johns Hopkins and the Financial Times. “You don’t need a special degree to understand what the data says and doesn’t say,” he claimed.

Dr. Bergstrom argues that the advances in available data make it easier than ever for junk-science peddlers to appear legitimate.

“Statistical analysis is a black box to most of us,” Dr. Bergstrom said. “And it’s like, ‘I can’t challenge a multilinear statistical regression because I don’t know what that is,’

“And so a form of authority gets imposed on a reader and we tend not to challenge data the way we’ve learned to challenge words.”

Mr. Evans is concerned that ultimately important nuance will be lost and pro-Trump pundits will use the news to exclusively scapegoat China and divert blame away from domestic failings. “What’s scary is how smart the false stuff is,” he said.

Covid-19 and the immediate threat to public health means that networks like Facebook, Twitter and YouTube have been unusually decisive about taking down misinformation. “In a case of a pandemic like this, when we are seeing posts that are urging people not to get treatment,” Facebook’s chief executive, Mark Zuckerberg, said recently, “that’s a completely different class of content versus the back-and-forth of what candidates may say about each other.”

The Trump administration and right-wing media watchdogs will weaponize changing facts about the virus, pointing to them as proof of a deep state bent on damaging the president or a media apparatus trying to swing an election

Others will try to pin the blame for the pandemic solely on the Trump administration

What we don’t know about Covid-19 will degenerate into ever more intricate conspiracies — some almost believable, some outrageous but all dangerous.

“We’re in a stream of ever-evolving data, and it’s being shaped around cognitive biases, partisanship and preferences embedded in our cultural identities,”

I called Mr. Pomerantsev because the information vacuum around the virus made me think of the title of his earlier book on Russia — “Nothing Is True and Everything Is Possible.

In the absence of new, vetted information, reckless speculation takes its place, muddling our conception of the truth.

in crisis situations — especially early on — our desire for information exceeds our ability to accurately deliver it. Add to this the complexities of epidemiology: exponential growth; statistical modeling; and the slow, methodical nature of responsible science.

Together, they create the ideal conditions for distrust, bad-faith interpretations and political manipulation, the contours of which we’re only beginning to see.

“The really big question that haunts me is, ‘When do we return to reality?’” Mr. Pomerantsev mused over the phone from his own quarantine. “Or is it that in this partisan age absolutely everything is chopped, cut and edited to fit a different view? I’m waiting for society to finally hit up against a shared reality, like diving into the bottom of swimming pool. Instead we just go deeper.”

Chloroquine had produced what he called “spectacular improvements” in the Chinese patients. “It’s excellent news — this is probably the easiest respiratory infection to treat of all,” Raoult said. “The only thing I’ll tell you is, be careful: Soon the pharmacies won’t have any chloroquine left!”

Raoult wrote his first research paper, in 1979, on a tick-borne infection sometimes known as Marseille fever. The disease was also called “benign summer fever,” and more than 50 years of science said it was nonlethal. And yet one of the 41 patients in his data set had died.

Before submitting the paper, Raoult, who was then a young resident, gave it to a supervising professor for review. “And he takes it,” Raoult told me, “he doesn’t show it to me again, and he publishes it — and he’d taken out the death. Because he didn’t know how to make sense of the death.”

Raoult was disgusted, and the incident shaped his philosophy of scientific inquiry. “I learned that the people who wanted to follow the familiar path were prepared to cheat in order to do it,” he said.

In Raoult’s view, French science was a duchy of appearances, connections and self-reverence. “It was people saying” — he mimed the drone of an aristocrat — “ ‘Oh, him, yes, he’s very good.’ And this reputation, you don’t know what it’s based on, but it’s not the truth.”

“He was a ‘follower,’” Raoult said of the professor. “And these ‘followers’ are all cheaters. That’s what I thought. And it’s still what I think.”

He is, fundamentally, a contrarian. In Raoult’s view, little of consequence has been accomplished by researchers who endorse the habitual tools and theories of their age.

“I’ve spent my life being ‘against,’” he told me. “I tell young scientists: ‘You know, you don’t need a brain to agree. All you need is a spinal cord.’” He is thrilled by conflict. It is a matter both of philosophy — the influence, no doubt, of the thinker he refers to admiringly as “master Nietzsche” — and of temperament.

His peers shake their heads at this behavior but grant him a grudging respect. “You can’t knock him down,” said Mark Pallen, a professor of microbial genomics at the University of East Anglia. “In terms of his place in the canon, the sainthood of science, he’s pretty secure there.”

In 1985 and 1986, Raoult worked at the Naval Medical Research Institute in Bethesda, Md., where he discovered the Science Citation Index. The index, a tool that can be used to measure a scientist’s influence on the basis of his or her publication history, was relatively unknown in France. Raoult looked up the researchers reputed to be the best in Marseille. “It was really the emperor wears no clothes,” he said. “These people didn’t publish. There was one who hadn’t written a paper in 10 years.”

In subsequent work, he demonstrated that Marseille fever was indeed fatal in almost precisely one in every 41 cases.

Raoult’s name sits atop several thousand; in each of the past eight years, he has produced more than 100. In 2020, he has already published at least 54.

Like many doctors, Molina viewed Raoult’s study with skepticism, but he was also curious to see if his proposed treatment regimen might in fact work. He tested hydroxychloroquine and azithromycin in 11 of his own patients. “We had severe patients, and we wanted to try something,” Molina told me. Within five days, one had died, and two others had been transferred out of his service to intensive care. In another patient, the treatment was suspended after the onset of cardiac issues, a known side effect of the drugs. Eight of the 10 surviving patients still tested positive for SARS-CoV-2 at the conclusion of the study period

Raoult is reputed to be an indefatigable worker, but he also achieves his extreme rate of publication by attaching his name to nearly every paper that comes out of his institute.

In recent years, Raoult has amused himself, it seems, by staking out tendentious scientific claims, sometimes in territories that are well beyond the scope of his expertise.

He is skeptical, for instance, of the utility of mathematical modeling in the realm of epidemiology.

The same logic has led him to conclude that climate modelers are no more than “soothsayers” for our “scientistic era” and that their dire predictions are mostly just an attempt to expiate our intense but irrational feelings of guilt.

Raoult’s most recent book, “Epidemics: Real Dangers and False Alerts,” was published in late March, by which time the W.H.O. had reported more than 330,000 confirmed cases of Covid-19 worldwide and more than 14,500 deaths. “This anguish over epidemics,” he writes, “is completely untethered from the reality of deaths from infectious diseases.”

Testing had been scheduled to run for two weeks per patient, but after only six days, the results were so favorable that Raoult decided to end the trial and publish

Others might have proceeded with more caution or perhaps waited to confirm these results with a larger, more rigorous trial. Raoult likes to think of himself as a doctor first, however, with a moral obligation to treat his patients that supersedes any desire to produce reliable data.

For decades, Raoult has boasted of his prodigious rates of publication and citation, which, as objective statistics, he considers to be the best measure of his worth as a researcher.

This observation has come to be known as the parachute paradigm: We tend to accept the claim that parachutes reduce injury among people who leap from airplanes, but this effect has never been proved in a randomized study that compares an experimental parachute group to an unlucky parachuteless control.

“If you don’t have something that’s visible in 10 patients, or 30, it’s useless. It’s not of any consequence.” An effective treatment for a potentially lethal infectious disease will be visible to the naked eye.

There is much about Raoult that might make him, and by extension his proposed treatment, appealing to a man like Trump. He is an iconoclast with funny hair; he thinks almost everyone else is stupid, especially those who are typically regarded as smart; he is beloved by the angry and conspiracy-minded; his self-congratulation is more or less unceasing.

Raoult classified Trump’s psychology as that of an “entrepreneur,” by way of contrast with that of a “politician.” “Entrepreneurs are people who know how to decide, who know how to take risks,” he said. “And at a certain point, to decide is to take a risk. Every decision is a risk.”

The French waited far too long, in his estimation, to approve the use of hydroxychloroquine in Covid-19 patients. The authorization came only after Raoult announced in the press that he would continue, “in accordance with the Hippocratic oath” and effectively in defiance of the government, to treat patients with his combination therapy. “I’m convinced that in the end, everyone will be using this treatment,” Raoult told Le Parisien. “It’s just a matter of time before people agree to eat their hats.”

Raoult had already begun assembling data for a larger study, but he dismissed the need for anything particularly vast or lengthy. Like other critics of the R.C.T., he likes to point out that a number of self-evidently useful developments in the realm of human health have never been validated by such rigorous tests.

Raoult’s study had measured only viral load. It offered no data on clinical outcomes, and it was not clear if the patients’ actual symptoms had improved or indeed whether the patients lived or died. At the outset, 26 patients were assigned to receive hydroxychloroquine, six more than the 20 who appeared in the final results.

The six additional patients had been “lost in follow-up,” the authors wrote, “because of early cessation of treatment.” The reasons given were concerning. One patient stopped taking the drug after developing nausea. Three patients had to be transferred out of the institute to intensive care. One patient died. (Another patient elected to leave the hospital before the end of the treatment cycle.)

“So four of the 26 treated patients were actually not recovering at all,” noted Elisabeth Bik, a scientific consultant who wrote a widely circulated blog post on Raoult’s study. She paraphrased the sarcasm circulating on Twitter: “My results always look amazing if I leave out the patients who died.”

The report was also riddled with discrepancies and apparent errors.

This apparent sloppiness was unsurprising to many of those who have tracked Raoult’s work in the past. A prominent French microbiologist told me that, in terms of publication, Raoult’s reputation among scientists has been “long gone” for some time.

Beyond its apparent errors and omissions, the study’s design — its small size, its flawed control, the unrandomized assignment of patients to the treatment and control groups — was widely viewed to render its results meaningless. Fauci repeatedly called its results “anecdotal”;

Large, well-controlled randomized trials are by no means the only way to arrive at useful scientific insights. Their utility is that they enhance statistical signals such that, amid the noise of human variability and random chance, even the faint effect of some new treatment can be detected.

The results of his initial trial have yet to be replicated. “I think what he secretly hopes is that no one will ever be able to show anything,”

The prime statistical hurdle that any proposed treatment for Covid-19 will have to overcome — one that is delicate for even Raoult’s critics to make note of, amid the sorrow and fear of this pandemic — is that the signal is likely to be very faint, because the disease is, in the end, rarely fatal. Nearly everyone survives; an effective treatment will save the life of the one or so patients in every hundred who would not have lived without it.

“Alzheimer’s drugs, obesity drugs, cardiovascular drugs, osteoporosis drugs: Over and over, there have been what looked like positive results that evaporated on closer inspection. After you’ve experienced this a few times, you take the lesson to heart that the only way to be sure about these things is to run sufficiently powered controlled trials. No shortcuts, no gut feelings — just data.”

“I’ve invented 10 or so treatments in my life,” Raoult told me. “Half of them are prescribed all over the world. I’ve never done a double-blind study in my life, never. Never! Never done anything randomized, either.”

“When you tell the story, it’s extremely straightforward, no? It’s subject, verb, complement: You detect a disease; there’s a drug that’s cheap, whose safety we know all about because there’s two billion people who take it; we prescribe it, and it changes what it changes. It might not be a miracle product, but it’s better than doing nothing, no?”

Raoult had by then begun to lose his composure. He accused Lacombe of being a shill for the pharmaceutical industry; his fans sent her death threats. On Twitter, he called Bik, the consultant who wrote critically about the first study, a “witch hunter” and called a study that she tweeted — one of several published in April and May that seemed to suggest that Raoult’s treatment regimen was ineffectual or even harmful — “fake news.” The authors of another such study were accused of “scientific fraud.” “My detractors are children!” Raoult told an interviewer.

It is possible that hydroxychloroquine and azithromycin are an effective treatment for Covid-19. But Raoult’s study showed, at best, that 20 people who would almost certainly have survived without any treatment at all also survived for six days while taking the drugs Raoult prescribed.

In recent weeks, Raoult has in fact tempered his claims about the virtues of his treatment regimen. The published, peer-reviewed version of the final study noted that another two patients had died, bringing the total to 10. Where the earlier version called the drugs “safe and efficient,” they were now described merely as “safe.”

He has shown flickers of what appears to be doubt.

“I don’t trust popularity,” he told the interviewer. “When too many people think you’re wonderful, you should start to wonder.” His initial YouTube video, “Coronavirus: Game Over!” has also been renamed. The new language is more measured, and in place of the exclamation point there now stands a question mark.

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?

more significant, we are not very good at predicting who is likely to be dangerous in the future.

“Most of these killers are young men who are not floridly psychotic. They tend to be paranoid loners who hold a grudge and are full of rage.”

Even though we know from large-scale epidemiologic studies like the E.C.A. study that a young psychotic male who is intoxicated with alcohol and has a history of involuntary commitment is at a high risk of violence, most individuals who fit this profile are harmless.

“Can we reliably predict violence?  ‘No’ is the short answer. Psychiatrists, using clinical judgment, are not much better than chance at predicting which individual patients will do something violent and which will not.”

Even if clinicians could predict violence perfectly, keeping guns from people with mental illness is easier said than done. Nearly five years after Congress enacted the National Instant Criminal Background Check System, only about half of the s

All the focus on the small number of people with mental illness who are violent serves to make us feel safer by displacing and limiting the threat of violence to a small, well-defined group

But the sad and frightening truth is that the vast majority of homicides are carried out by outwardly normal people in the grip of all too ordinary human aggression to whom we provide nearly unfettered access to deadly force.

In his 2013 paper, Burkhauser and his two co-authors have completely upended the thrust of Figures 1 and 2.

Burkhauser’s 2011 methodology worked to make the pattern appear far less extreme, as illustrated by Figure 2:

First, take a look at Figure 1, a 2011 Congressional Budget Office chart showing significant inequality in the distribution of income gains from 1979 to 2007. Many on the left consider work done by the C.B.O. to be the gold standard of inequality measurement:

If — a virtually impossible if — the economic and policy-making community were to reach even a rough consensus in support of Burkhauser’s 2013 analysis, the victory for the right would be hard to overestimate.

If Burkhauser’s approach was accepted, it would render moot the basic political and philosophical tenets of the Obama presidency

Not only would Burkhauser lay waste to a core liberal argument — inequality is worsening — but his claim that a declining share of income is going to the wealthy could be used to justify further tax cuts for the affluent in order to foster top-down investment and growt

Burkhauser et al. achieve their reversal of past income distribution data by amending the definition of income developed in their 2012 paper — “post-tax, post-transfer, size-adjusted household income including the ex-ante value of in-kind health insurance benefits” — to incorporate another accounting tool: “yearly-accrued capital gains to measure yearly changes in wealth.”

it is a game changer.

Burkhauser attempts to measure the year-to-year increase in taxpayers’ assets — stocks and bonds, housing and privately held businesses – and to count those annual increases as income. Increases in the value of such assets do not show up in tax data because they are taxed by the federal government only when the asset in question is sold and the increased value is realized as taxable gains.

The Burkhauser approach does a number of things. First, it spreads and flattens income from capital gains over the duration of ownership. For a wealthy individual who makes a huge killing selling stock or a businesses, his or her income does not spike in the year of the sale, but emerges instead as a series of yearly incremental gains.

For assets that have been held for a long time, the Burkhauser system effectively backdates much of currently realized capital gains onto earlier years. This is especially significant in calculating income gains from the current sale of assets purchased in the 1980s and 1990s, since much of the added value was acquired in those earlier decades.

I raised the following question: Is it a fair measure of a person’s well-being to include unrealized capital gains? Their house or other assets may have increased in value, but their standard of living has not changed.

The unfairness of Burkhauser’s approach is clearly acute at the bottom and middle of income distribution. The most common large asset for those on the bottom rungs is a house. Burkhauser would increase the income of those below the median lucky enough to own a home by the annual appreciation in the value of the home through 2007. For many of these families, however, selling their home is not an option. In Burkhauser’s view, their income goes up even if their living conditions remain unchanged.

Burkhauser is respected by his peers; his critics, including some friends, do not accuse him of ideological bias. In addition to A.E.I, he has received support from such center-left institutions as the Pew Foundation, Brookings Institution and the Russell Sage Foundation.

the “problem is that in such things, especially when it is a difficult task based on lots of new data sources, the devil is in the details. It’s pretty hard to judge those details without doing a substantial amount of work.” Acemoglu’s conclusion: “Bottom line: conceptually there is a valid point here, and this is a serious paper. The rest is to be determined.”

“Rich Burkhauser’s work is really the state of the art — the most important research on inequality being done, in my view,” Scott Winship, of the Brookings Institution, e-mailed me. Winship voiced some concern over the reliability of the statistical data used by Burkhauser, but concluded:All that said, I think Rich’s paper is incredibly disruptive for many fields of research in labor economics and other social sciences, and potentially it could change our entire view about rising inequality over the past few decades.

Burtless continued:The problem with the authors’ estimates of accruing capital gains is that those numbers are wholly made up based on a prediction that everyone is equally successful in finding homes, stocks, bonds and other assets to invest in.  But they’re not:  Some people are wildly successful, and get into the 1%; others are horribly unsuccessful and become paupers (or receive foreclosure papers); and most earn mediocre returns that are — surprise! — a bit lower than the economy-wide average.

Burkhauser et al. measure the period from 1989 to 2007 because those are both peak years in the business cycle. This timing results in a failure to account for the consequences of the 2008-9 financial crisis and the subsequent struggle toward recovery accompanied by persistent high levels of unemployment.

During the post-crisis years 2009-11, according to the Pew Center, the wealthiest mean of the nation saw the value of their assets grow by 28 percent, to $3.17 million from $2.48 million, while the bottom 93 percent saw their net worth drop by 4 percent, to $133,816 from $139,896.

Wealth trends since the 2008 crash, shown in Figure 5, demonstrate an extraordinary growth in inequality, suggesting that Burkhauser’s findings — restricted to his carefully tailored definition of income — are fatally flawed as an instrument to assess the current real-world position of the poor and middle class compared with the very rich:

A key purpose in measuring both wealth and income is to determine what kind of standard of living is possible for those at the top, the middle and the bottom. Do individuals, families and households have enough to provide for themselves, perhaps most importantly for their children? Do they have the financial resources to enter the highly competitive global marketplace?On that score, Burkhauser’s use of “yearly accrued capital gains” fails the test of measuring what is most significant to know in policy making and in assessing the true quality of life in America.

The report is likely the Justice Department’s last major investigation before President-elect Donald Trump takes office. During President Barack Obama’s tenure, the Justice Department has aggressively investigated nearly two dozen police departments and pushed for reform, particularly after high-profile police killings. But Trump and his attorney general nominee, Jeff Sessions, have voiced skepticism of the investigations, suggesting that the Trump administration will do less to hold local police departments accountable through the Justice Department.

Yet just 1.3 percent of complaints over racist language between 2011 and March 2016 were sustained by internal investigators, the Justice Department found.

We found that officers engage in tactically unsound and unnecessary foot pursuits, and that these foot pursuits too often end with officers unreasonably shooting someone — including unarmed individuals.

CPD has not provided officers with adequate guidance to understand how and when they may use force, or how to safely and effectively control and resolve encounters to reduce the need to use force

But it’s not just tolerance; at times the police department appears to engage in an active cover-up — particularly through “a code of silence” and by hiding evidence.

One particularly striking statistic: More than 30,000 complaints are made against the Chicago Police Department every year. But while the department sustains less than 2 percent of those complaints, most are never investigated at all.

Still, it’s worth emphasizing that these findings may not be exclusive to Chicago. Whether it’s Baltimore, Cleveland, New Orleans, or Ferguson, Missouri, the Justice Department has found horrific constitutional violations in how police use force, how they target minority residents, how they stop and ticket people, and virtually every other aspect of policing. These issues come up time and time again, no matter the city that federal investigators look at.In that sense, it’s not just Chicago policing that’s flawed, but American policing as a whole.

Economists at the International Monetary Fund, the Bank of England, and several respected think tanks have uniformly warned that the leaving the single market could lead hit people hard and may lead to a recession.

The “leave” camp have thus far responded by attempting to turn the debate toward the more populist theme of sovereignty.

The government, meanwhile, urged people to be realistic. James Brokenshire, the immigration minister, stressed that there are no easy solutions — regardless of whether Britain stays or goes.

The statistics office says the U.K. had 630,000 immigrants in 2015, while 297,000 people left. The net figure of 333,000 is 20,000 higher than in 2014 — a statistically insignificant change — and the second-highest on record.

It’s more time than people spend reading (19 minutes); participating in sports or exercise (17 minutes); or social events (four minutes). It’s almost as much time as people spend eating and drinking (1.07 hours).

the average time people spend on Facebook has gone up — from around 40 minutes in 2014 — even as the number of monthly active users has surged. And that’s just the average. Some users must be spending many hours a day on the site,

Time is the best measure of engagement, and engagement correlates with advertising effectiveness. Time also increases the supply of impressions that Facebook can sell, which brings in more revenue (a 52 percent increase last quarter to $5.4 billion).

time has become the holy grail of digital media.

And time enables Facebook to learn more about its users — their habits and interests — and thus better target its ads. The result is a powerful network effect that competitors will be hard pressed to match.

the only one that comes close is Alphabet’s YouTube, where users spent an average of 17 minutes a day on the site. That’s less than half the 35 minutes a day users spent on Facebook

Users spent an average of nine minutes on all of Yahoo’s sites, two minutes on LinkedIn and just one minute on Twitter

People spending the most time on Facebook also tend to fall into the prized 18-to-34 demographic sought by advertisers.

“You hear a narrative that young people are fleeing Facebook. The data show that’s just not true. Younger users have a wider appetite for social media, and they spend a lot of time on multiple networks. But they spend more time on Facebook by a wide margin.”

What aren’t Facebook users doing during the 50 minutes they spend there? Is it possibly interfering with work (and productivity), or, in the case of young people, studying and reading?

While the Bureau of Labor Statistics surveys nearly every conceivable time-occupying activity (even fencing and spelunking), it doesn’t specifically tally the time spent on social media, both because the activity may have multiple purposes — both work and leisure — and because people often do it at the same time they are ostensibly engaged in other activities

The closest category would be “computer use for leisure,” which has grown from eight minutes in 2006, when the bureau began collecting the data, to 14 minutes in 2014, the most recent survey. Or perhaps it would be “socializing and communicating with others,” which slipped from 40 minutes to 38 minutes.

But time spent on most leisure activities hasn’t changed much in those eight years of the bureau’s surveys. Time spent reading dropped from an average of 22 minutes to 19 minutes. Watching television and movies increased from 2.57 hours to 2.8. Average time spent working declined from 3.4 hours to 3.25. (Those hours seem low because much of the population, which includes both young people and the elderly, does not work.)

The bureau’s numbers, since they cover the entire population, may be too broad to capture important shifts among important demographic groups

ComScore reported that television viewing (both live and recorded) dropped 2 percent last year, and it said younger viewers in particular are abandoning traditional live television. People ages 18-34 spent just 47 percent of their viewing time on television screens, and 40 percent on mobile devices.

Among those 55 and older, 70 percent of their viewing time was on television, according to comScore. So among young people, much social media time may be coming at the expense of traditional television.

comScore’s data suggests that people are spending on average just six to seven minutes a day using social media on their work computers. “I don’t think Facebook is displacing other activity,” he said. “People use it during downtime during the course of their day, in the elevator, or while commuting, or waiting.

Facebook, naturally, is busy cooking up ways to get us to spend even more time on the platform

A crucial initiative is improving its News Feed, tailoring it more precisely to the needs and interests of its users, based on how long people spend reading particular posts. For people who demonstrate a preference for video, more video will appear near the top of their news feed. The more time people spend on Facebook, the more data they will generate about themselves, and the better the company will get at the task.

“He disavowed us,” Mr. Johnson acknowledged, “but he explained why there is so much anger in America that I couldn’t have asked for a better approach from him.”

Like others in his world, Mr. Taylor does not know if Mr. Trump agrees with him on everything. In an interview, he suggested that it did not really matter, and that Mr. Trump was expressing the discomfort many white people felt about other races.

“He says what everyone thinks,” Mr. Conrad said of Mr. Trump. “He says what we’re all thinking. He’s bringing people together. We say, ‘Hey, that’s right; we can say this.’

But on the flatlands of social media, the border between Mr. Trump and white supremacists easily blurs. He has retweeted supportive messages from racist or nationalist Twitter accounts to his nine million followers. Last fall, he retweeted a graphic with fictitious crime statistics claiming that 81 percent of white homicide victims in 2015 were killed by blacks. (No such statistic was available for 2015 at the time; the actual figure for 2014 was 15 percent, according to the F.B.I.)

In January and February he retweeted messages from a user with the handle @WhiteGenocideTM, whose profile picture is of George Lincoln Rockwell, the founder of the American Nazi Party. A couple of days later, in quick succession, he retweeted two more accounts featuring white nationalist or Nazi themes. Mr. Trump deleted one of the retweets, but white supremacists saw more than a twitch of the thumb. “Our Glorious Leader and ULTIMATE SAVIOR has gone full wink-wink-wink to his most aggressive supporters,” Mr. Anglin wrote on The Daily Stormer.

In fact, Mr. Trump’s Twitter presence is tightly interwoven with hordes of mostly anonymous accounts trafficking in racist and anti-Semitic attacks. When Little Bird, a social media data mining company, analyzed a week of Mr. Trump’s Twitter activity, it found that almost 30 percent of the accounts Mr. Trump retweeted in turn followed one or more of 50 popular self-identified white nationalist accounts.

After Mr. Trump attacked a profile of his wife, Melania, in GQ, the article’s author, the journalist Julia Ioffe, who is Jewish, was inundated with anti-Semitic abuse on social media, including a cartoon depicting Ms. Ioffe in a concentration camp.Asked whether he condemned the attacks, Mr. Trump told an interviewer: “I don’t have a message to the fans. A woman wrote an article that’s inaccurate.