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But it will also mean realizing that the current situation is too important for ideological purity.

Levitsky and Ziblatt write: “Mobilizing the vote in 2018 and 2020 is essential. But there is something else that ordinary Americans must do: Try to build broader coalitions in defense of democracy. To ensure democracy’s survival, we must build alliances that extend beyond traditional party lines. For liberals, this means forging perhaps uncomfortable alliances — with right-of-center businesspeople, evangelical Christians, and dissident conservatives, among others. A blue-state coalition is simply not enough.

Related: An analysis of how Trump uses Twitter to deceive and to set the agenda, by George Lakoff, who, as a linguist, argues that Trump is manipulating the media through Twitter — and that the media should stop falling for his tricks

“When people hear ‘clown,’ the first associations that pop into their head are the killer clowns in the movies — It, the Joker— and then John Wayne Gacy, the real-life mass murderer,” McAndrew says of the 1970s serial killer who became known as the “Killer Clown” for his volunteer clown work. “It’s kind of hard to get past all of that.”

“[Some of the] very first clowns were the court jesters who poked fun at kings and made people in high places uncomfortable. That’s why they exist,” he tells TIME of the history of clowns in medieval Europe. “They’re designed to make people afraid. If you go all the way back to the beginning of clownhood, they’ve always been bad. They’re pranksters, they play tricks.”

However, while many people are apprehensive or fearful of clowns, both Nader and McAndrew agree that someone having an actual phobia of clowns, a.k.a. coulrophobia, is rare.

“Fortunately, we live in a society where clowns aren’t just wandering around, so it’s pretty easy to avoid them or at least not come into contact with them very regularly. Rarely does this fear ever cause a person to experience a disruption in their lifestyle or ability to do things.”

“We like to learn about dangers in a safe way so that we’re prepared in some unknown future time to deal with them if they ever come our way. So by going to see IT and watching this evil clown lure children in and kill them, we learn strategies for avoiding that kind of fate ourselves,” he says. “We’re not consciously sitting there, watching the movie and thinking these things, but that impulse to like to scare ourselves is there.”

She took pride in the basic things, like cleaning engine parts. And she only hinted at the truth: When one fan told her in October, “It’s great to be young,” Soya replied, “Youth does not mean a certain period of life, but how to hold your heart.”

She seemed, well, happy, and FaceApp had made her that way. Creating the lifelike impostor had taken only a few taps: He changed the “Gender” setting to “Female,” the “Age” setting to “Teen,” and the “Impression” setting — a mix of makeup filters — to a glamorous look the app calls “Hollywood.”

Soya pouted and scowled on rare occasions when Nakajima himself felt frustrated. But her baseline expression was an extra-wide smile, activated with a single tap.

Nakajima grew his shimmering hair below his shoulders and raided his local convenience store for beauty supplies he thought would make the FaceApp images more convincing: blushes, eyeliners, concealers, shampoos.

“When I compare how I feel when I started to tweet as a woman and now, I do feel that I’m gradually gravitating toward this persona … this fantasy world that I created,” Nakajima said. “When I see photos of what I tweeted, I feel like, ‘Oh. That’s me.’ ”

The sensation Nakajima was feeling is so common that there’s a term for it: the Proteus effect, named for the shape-shifting Greek god. Stanford University researchers first coined it in 2007 to describe how people inhabiting the body of a digital avatar began to act the part

People made to appear taller in virtual-reality simulations acted more assertively, even after the experience ended. Prettier characters began to flirt.

What is it about online disguises? Why are they so good at bending people’s sense of self-perception?

they tap into this “very human impulse to play with identity and pretend to be someone you’re not.”

Users in the Internet’s early days rarely had any presumptions of authenticity, said Melanie C. Green, a University of Buffalo professor who studies technology and social trust. Most people assumed everyone else was playing a character clearly distinguished from their real life.

“This identity play was considered one of the huge advantages of being online,” Green said. “You could switch your gender and try on all of these different personas. It was a playground for people to explore.”

It wasn’t until the rise of giant social networks like Facebook — which used real identities to, among other things, supercharge targeted advertising — that this big game of pretend gained an air of duplicity. Spaces for playful performance shrank, and the biggest Internet watering holes began demanding proof of authenticity as a way to block out malicious intent.

The Web’s big shift from text to visuals — the rise of photo-sharing apps, live streams and video calls — seemed at first to make that unspoken rule of real identities concrete. It seemed too difficult to fake one’s appearance when everyone’s face was on constant display.

Now, researchers argue, advances in image-editing artificial intelligence have done for the modern Internet what online pseudonyms did for the world’s first chat rooms. Facial filters have allowed anyone to mold themselves into the character they want to play.

researchers fear these augmented reality tools could end up distorting the beauty standards and expectations of actual reality.

Some political and tech theorists worry this new world of synthetic media threatens to detonate our concept of truth, eroding our shared experiences and infusing every online relationship with suspicion and self-doubt.

Deceptive political memes, conspiracy theories, anti-vaccine hoaxes and other scams have torn the fabric of our democracy, culture and public health.

But she also thinks about her kids, who assume “that everything online is fabricated,” and wonders whether the rules of online identity require a bit more nuance — and whether that generational shift is already underway.

“Bots pretending to be people, automated representations of humanity — that, they perceive as exploitative,” she said. “But if it’s just someone engaging in identity experimentation, they’re like: ‘Yeah, that’s what we’re all doing.'

To their generation, “authenticity is not about: ‘Does your profile picture match your real face?’ Authenticity is: ‘Is your voice your voice?’

“Their feeling is: ‘The ideas are mine. The voice is mine. The content is mine. I’m just looking for you to receive it without all the assumptions and baggage that comes with it.’ That’s the essence of a person’s identity. That’s who they really are.”

But wasn’t this all just a big con? Nakajima had tricked people with a “cool girl” stereotype to boost his Twitter numbers. He hadn’t elevated the role of women in motorcycling; if anything, he’d supplanted them. And the character he’d created was paper thin: Soya had no internal complexity outside of what Nakajima had projected, just that eternally superimposed smile.

Perhaps he should have accepted his irrelevance and faded into the digital sunset, sharing his life for few to see. But some of Soya’s followers have said they never felt deceived: It was Nakajima — his enthusiasm, his attitude about life — they’d been charmed by all along. “His personality,” as one Twitter follower said, “shined through.”

In Nakajima’s mind, he’d used the tools of a superficial medium to craft genuine connections. He had not felt real until he had become noticed for being fake.

Nakajima said he doesn’t know how long he’ll keep Soya alive. But he said he’s grateful for the way she helped him feel: carefree, adventurous, seen.

. “Any successful virus has to get beyond that first defense system. The more successful it is at doing that, the better off the virus is.”

A lot of researchers focused their attention on the nine mutations that alter the so-called spike protein that covers the coronavirus and allows it to invade cells

They found that lung cells with Alpha made drastically less interferon, a protein that switches on a host of immune defenses.

It’s making itself more invisible,”

They found that Alpha-infected cells make a lot of extra copies — some 80 times more than other versions of the virus — of a gene called Orf9b.

dampening the production of interferon and a full immune response. The virus, protected from attack, has better odds of making copies of itself.

people infected with Alpha have a more robust reaction than they would with other variants, coughing and shedding virus-laden mucus from not only their mouths, but also their noses — making Alpha even better at spreading.

. They may have independently evolved their own tricks for manipulating our immune system.

But studies on people who recover naturally from Covid-19 have shown that their immune systems learn to recognize other viral proteins, including Orf9b.

“It’s quite a tricky enterprise, but becoming more possible as we learn more,”

The World Mosquito Program (WMP), a nonprofit that pioneered this technique, had run small pilot studies in Australia that suggested it could work. Utarini, who co-leads WMP Yogyakarta, has now shown conclusively that it does.

Carried around the world aboard slave ships, Aedes aegypti has thrived. It is now arguably the most effective human-hunter on the planet, its senses acutely attuned to the carbon dioxide in our breath, the warmth of our bodies, and the odors of our skin.

Wolbachia was first discovered in 1924, in a different species of mosquito. At first, it seemed so unremarkable that scientists ignored it for decades. But starting in the 1980s, they realized that it has an extraordinary knack for spreading. It passes down mainly from insect mothers to their children, and it uses many tricks to ensure that infected individuals are better at reproducing than uninfected ones. To date, it exists in at least 40 percent of all insect species, making it one of the most successful microbes on the planet.

The team divided a large portion of the city into 24 zones and released Wolbachia-infected mosquitoes in half of them. Almost 10,000 volunteers helped distribute egg-filled containers to local backyards. Within a year, about 95 percent of the Aedes mosquitoes in the 12 release zones harbored Wolbachia.

The team found that just 2.3 percent of feverish people who lived in the Wolbachia release zones had dengue, compared with 9.4 percent in the control areas. Wolbachia also seemed to work against all four dengue serotypes, and reduced the number of dengue hospitalizations by 86 percent.

Even then, these already remarkable numbers are likely to be underestimates. The mosquitoes moved around, carrying Wolbachia into the 12 control zones where no mosquitoes were released. And people also move: They might live in a Wolbachia release zone but be bitten and infected with dengue elsewhere. Both of these factors would have worked against the trial, weakening its results

The Wolbachia method does have a few limitations. The bacterium takes months to establish itself, so it can’t be “deployed to contain an outbreak today,” Vazquez-Prokopec told me. As the Yogyakarta trial showed, it works only when Wolbachia reaches a prevalence of at least 80 percent, which requires a lot of work and strong community support

The method has other benefits too. It is self-amplifying and self-perpetuating: If enough Wolbachia-infected mosquitoes are released initially, the bacterium should naturally come to dominate the local population, and stay that way. Unlike insecticides, Wolbachia isn’t toxic, it doesn’t kill beneficial insects (or even mosquitoes), and it doesn’t need to be reapplied, which makes it very cost-effective.

An analysis by Brady’s team showed that it actually saves money by preventing infections

Wolbachia also seems to work against the other diseases that Aedes aegypti carries, including Zika and yellow fever. It could transform this mosquito from one of the most dangerous species to humans into just another biting nuisance.

nformation from tactile sensors under the sole of the prosthetic foot and from angle sensors in the electronic prosthetic knee joint are converted into pulses of current and passed in to the nerves.

"To trick an above-knee amputee's brain into the belief that the prosthetic leg was similar to his own leg, we artificially restored the lost sensory feedback,

hey weighed down the healthy foot with additional weights and asked the study participant to rate how heavy he felt the two legs were in relation to each other. Neurofeedback was found to reduce the perceived weight of the prosthesis by 23 percent, or almost 500 grams.

The sensory feedback not only allowed him to have a faster gait but also to have a higher spelling accuracy.

driving is already one of the more dangerous activities Americans undertake on a daily basis. According to the National Highway Traffic Safety Administration, “drowsy driving” was a factor in 91,000 crashes, resulting in 50,000 people injured and 810 deaths in 2017, so it’s theoretically possible that what some of these videos are showing us is disaster averted, not disaster in motion.

Tesla once generated widespread good will by promising affordable electric cars that would make the world cleaner and safer. But over time, its image was tarnished by missed deadlines, worrying crash reports, signs of a cultlike corporate culture and a chief executive, Elon Musk, who habitually exaggerates progress while announcing extravagant new ideas. This was hardly the institution you would want determining the future of highway safety.

These technologies — and the companies that engineer them — keep turning out to be less benign than imagined. We fell in love with Amazon, but now we miss the local stores it closed. We couldn’t resist the convenience of Uber and Lyft, but now we’ve seen their effect on public transit and drivers. “Jetsons”-esque smart-home technology turned out to be riddled with glitches and vulnerable to hackers.

Tech companies have hollowed out old industries, shredded privacy, disregarded regulations and created new vectors for the spread of misinformation and extremism, and now there is a sense that choices we have already made — tectonic shifts already in motion, terms of service already accepted — may be changing us in ways that we are only beginning to process, ready to leap up and bite us in the collective behind.

It’s hard to imagine a more potent visual metaphor for this feeling than a human lulled to sleep inside a hunk of metal and glass, hurtling down a highway under the control of proprietary algorithms beamed on board from Palo Alto

These videos are magnetic not just because of the eerie images they contain, but also because, watching them, we can’t actually be sure what we’re seeing. Is this danger or safety or both at once? Perhaps in a different era we would have cried out in excitement: How cool! Today we are more tempted to gasp in shock and call out a warning: Wake up!

In “The Silence of Animals” (2013), he connected a belief in progress, which he ascribes to both the left and the right, to the hubris that denies our animal nature

We are human supremacists whose vanity and moralism and tortured ambivalence make us uniquely unhappy and destructive.

Gray, who has been critiquing the follies of humanity and humanism for some time now. “Humans are like any other plague animal,” he wrote in “Straw Dogs” (2002). “They cannot destroy the Earth, but they can easily wreck the environment that sustains them.”

A recent profile of Gray in The Guardian remarked on his unusual political journey — from a working-class upbringing in Northern England; to support for Thatcherism in the 1980s; to a dalliance with New Labour in the ’90s before he abandoned that, too, after it became yet another “universal project” he considered in thrall to a distorted view of human possibility

He was in favor of Brexit, and has written sympathetically of those who voted Leave, deeming the European Union another grand scheme shot through with arrogant idealism. In its place, Gray wants to see … well, something that’s never fully defined.

I learned something more useful: the existence of non-fiction literature that can teach you anything.

something felt odd. Whenever a conversation revolved around a serious non-fiction book I read, such as ‘Sapiens’ or ‘Thinking Fast and Slow,’ I could never remember much. Turns out, I hadn’t absorbed as much information as I’d believed. Since I couldn’t remember much, I felt as though reading wasn’t an investment in knowledge but mere entertainment.

When I opened up about my struggles, many others confessed they also can’t remember most of what they read, as if forgetting is a character flaw. But it isn’t.

It’s the way we work with books that’s flawed.

there’s a better way to read. Most people rely on techniques like highlighting, rereading, or, worst of all, completely passive reading, which are highly ineffective.

Since I started applying evidence-based learning strategies to reading non-fiction books, many things have changed. I can explain complex ideas during dinner conversations. I can recall interesting concepts and link them in my writing or podcasts. As a result, people come to me for all kinds of advice.

What’s the Architecture of Human Learning and Memory?

Human brains don’t work like recording devices. We don’t absorb information and knowledge by reading sentences.

we store new information in terms of its meaning to our existing memory

we give new information meaning by actively participating in the learning process — we interpret, connect, interrelate, or elaborate

To remember new information, we not only need to know it but also to know how it relates to what we already know.

Learning is dependent on memory processes because previously-stored knowledge functions as a framework in which newly learned information can be linked.”

Human memory works in three stages: acquisition, retention, and retrieval. In the acquisition phase, we link new information to existing knowledge; in the retention phase, we store it, and in the retrieval phase, we get information out of our memory.

Retrieval, the third stage, is cue dependent. This means the more mental links you’re generating during stage one, the acquisition phase, the easier you can access and use your knowledge.

we need to understand that the three phases interrelate

creating durable and flexible access to to-be-learned information is partly a matter of achieving a meaningful encoding of that information and partly a matter of exercising the retrieval process.”

Next, we’ll look at the learning strategies that work best for our brains (elaboration, retrieval, spaced repetition, interleaving, self-testing) and see how we can apply those insights to reading non-fiction books.

The strategies that follow are rooted in research from professors of Psychological & Brain Science around Henry Roediger and Mark McDaniel. Both scientists spent ten years bridging the gap between cognitive psychology and education fields. Harvard University Press published their findings in the book ‘Make It Stick.

#1 Elaboration

“Elaboration is the process of giving new material meaning by expressing it in your own words and connecting it with what you already know.”

Why elaboration works: Elaborative rehearsal encodes information into your long-term memory more effectively. The more details and the stronger you connect new knowledge to what you already know, the better because you’ll be generating more cues. And the more cues they have, the easier you can retrieve your knowledge.

How I apply elaboration: Whenever I read an interesting section, I pause and ask myself about the real-life connection and potential application. The process is invisible, and my inner monologues sound like: “This idea reminds me of…, This insight conflicts with…, I don’t really understand how…, ” etc.

For example, when I learned about A/B testing in ‘The Lean Startup,’ I thought about applying this method to my startup. I added a note on the site stating we should try it in user testing next Wednesday. Thereby the book had an immediate application benefit to my life, and I will always remember how the methodology works.

How you can apply elaboration: Elaborate while you read by asking yourself meta-learning questions like “How does this relate to my life? In which situation will I make use of this knowledge? How does it relate to other insights I have on the topic?”

While pausing and asking yourself these questions, you’re generating important memory cues. If you take some notes, don’t transcribe the author’s words but try to summarize, synthesize, and analyze.

#2 Retrieval

With retrieval, you try to recall something you’ve learned in the past from your memory. While retrieval practice can take many forms — take a test, write an essay, do a multiple-choice test, practice with flashcards

the authors of ‘Make It Stick’ state: “While any kind of retrieval practice generally benefits learning, the implication seems to be that where more cognitive effort is required for retrieval, greater retention results.”

Whatever you settle for, be careful not to copy/paste the words from the author. If you don’t do the brain work yourself, you’ll skip the learning benefits of retrieval

Retrieval strengthens your memory and interrupts forgetting and, as other researchers replicate, as a learning event, the act of retrieving information is considerably more potent than is an additional study opportunity, particularly in terms of facilitating long-term recall.

How I apply retrieval: I retrieve a book’s content from my memory by writing a book summary for every book I want to remember. I ask myself questions like: “How would you summarize the book in three sentences? Which concepts do you want to keep in mind or apply? How does the book relate to what you already know?”

I then publish my summaries on Goodreads or write an article about my favorite insights

How you can apply retrieval: You can come up with your own questions or use mine. If you don’t want to publish your summaries in public, you can write a summary into your journal, start a book club, create a private blog, or initiate a WhatsApp group for sharing book summaries.

a few days after we learn something, forgetting sets in

#3 Spaced Repetition

With spaced repetition, you repeat the same piece of information across increasing intervals.

The harder it feels to recall the information, the stronger the learning effect. “Spaced practice, which allows some forgetting to occur between sessions, strengthens both the learning and the cues and routes for fast retrieval,”

Why it works: It might sound counterintuitive, but forgetting is essential for learning. Spacing out practice might feel less productive than rereading a text because you’ll realize what you forgot. Your brain has to work harder to retrieve your knowledge, which is a good indicator of effective learning.

How I apply spaced repetition: After some weeks, I revisit a book and look at the summary questions (see #2). I try to come up with my answer before I look up my actual summary. I can often only remember a fraction of what I wrote and have to look at the rest.

“Knowledge trapped in books neatly stacked is meaningless and powerless until applied for the betterment of life.”

How you can apply spaced repetition: You can revisit your book summary medium of choice and test yourself on what you remember. What were your action points from the book? Have you applied them? If not, what hindered you?

By testing yourself in varying intervals on your book summaries, you’ll strengthen both learning and cues for fast retrieval.

Why interleaving works: Alternate working on different problems feels more difficult as it, again, facilitates forgetting.

How I apply interleaving: I read different books at the same time.

1) Highlight everything you want to remember

#5 Self-Testing

While reading often falsely tricks us into perceived mastery, testing shows us whether we truly mastered the subject at hand. Self-testing helps you identify knowledge gaps and brings weak areas to the light

“It’s better to solve a problem than to memorize a solution.”

Why it works: Self-testing helps you overcome the illusion of knowledge. “One of the best habits a learner can instill in herself is regular self-quizzing to recalibrate her understanding of what she does and does not know.”

How I apply self-testing: I explain the key lessons from non-fiction books I want to remember to others. Thereby, I test whether I really got the concept. Often, I didn’t

instead of feeling frustrated, cognitive science made me realize that identifying knowledge gaps are a desirable and necessary effect for long-term remembering.

How you can apply self-testing: Teaching your lessons learned from a non-fiction book is a great way to test yourself. Before you explain a topic to somebody, you have to combine several mental tasks: filter relevant information, organize this information, and articulate it using your own vocabulary.

Now that I discovered how to use my Kindle as a learning device, I wouldn’t trade it for a paper book anymore. Here are the four steps it takes to enrich your e-reading experience

How you can apply interleaving: Your brain can handle reading different books simultaneously, and it’s effective to do so. You can start a new book before you finish the one you’re reading. Starting again into a topic you partly forgot feels difficult first, but as you know by now, that’s the effect you want to achieve.

it won’t surprise you that researchers proved highlighting to be ineffective. It’s passive and doesn’t create memory cues.

2) Cut down your highlights in your browser

After you finished reading the book, you want to reduce your highlights to the essential part. Visit your Kindle Notes page to find a list of all your highlights. Using your desktop browser is faster and more convenient than editing your highlights on your e-reading device.

Now, browse through your highlights, delete what you no longer need, and add notes to the ones you really like. By adding notes to the highlights, you’ll connect the new information to your existing knowledge

3) Use software to practice spaced repetitionThis part is the main reason for e-books beating printed books. While you can do all of the above with a little extra time on your physical books, there’s no way to systemize your repetition praxis.

Readwise is the best software to combine spaced repetition with your e-books. It’s an online service that connects to your Kindle account and imports all your Kindle highlights. Then, it creates flashcards of your highlights and allows you to export your highlights to your favorite note-taking app.

Common Learning Myths DebunkedWhile reading and studying evidence-based learning techniques I also came across some things I wrongly believed to be true.

#2 Effective learning should feel easyWe think learning works best when it feels productive. That’s why we continue to use ineffective techniques like rereading or highlighting. But learning works best when it feels hard, or as the authors of ‘Make It Stick’ write: “Learning that’s easy is like writing in sand, here today and gone tomorrow.”

In Conclusion

I developed and adjusted these strategies over two years, and they’re still a work in progress.

Try all of them but don’t force yourself through anything that doesn’t feel right for you. I encourage you to do your own research, add further techniques, and skip what doesn’t serve you

“In the case of good books, the point is not to see how many of them you can get through, but rather how many can get through to you.”— Mortimer J. Adler

Our brains are statistical organs that are built simply to predict what will happen next

This makes sense because, in prehistoric times, faulty predictions could lead to some very unpleasant surprises — like a tiger eating you or sinking in quicksand.

So-called prediction errors (like finding salmon instead of turkey on your plate on Thanksgiving) send us into a tizzy because our brains interpret them as a potential threat.

Keep doing what you’ve been doing, because you did it before, and you didn’t die.

all essentially subconscious efforts to make your world more predictable, orderly and safe.

Routines and rituals also conserve precious brainpower

It turns out our brains are incredibly greedy when it comes to energy consumption, sucking up 20 percent of calories while accounting for only 2 percent of overall body weight.

Our brains are literally overburdened with all the uncertainty caused by the pandemic.

Not only is there the seeming capriciousness of the virus, but we no longer have the routines that served as the familiar scaffolding of our lives

“It’s counterintuitive because we think of meaning in life as coming from these grandiose experiences

grandiose

grandiose

Of course, you can always take routines and rituals too far, such as the extremely controlled and repetitive behaviors indicative of addiction, obsessive-compulsive disorder and various eating disorders.

it’s mundane routines that give us structure to help us pare things down and better navigate the world, which helps us make sense of things and feel that life has meaning.”

In the coronavirus era, people may resort to obsessive cleaning, hoarding toilet paper, stockpiling food or neurotically wearing masks when driving alone in their cars. On the other end of the spectrum are those who stubbornly adhere to their old routines because stopping feels more threatening than the virus.

You’re much better off establishing a new routine within the limited environment that we find ourselves in

Luckily, there is a vast repertoire of habits you can adopt and routines you can establish to structure your days no matter what crises are unfolding around you

The point is to find what works for you. It just needs to be regular and help you achieve your goals, whether intellectually, emotionally, socially or professionally. The best habits not only provide structure and order but also give you a sense of pleasure, accomplishment or confidence upon completion.

It could be as simple as making your bed as soon as you get up in the morning or committing to working the same hours in the same spot.

Pandemic-proof routines might include weekly phone or video calls with friends, Taco Tuesdays with the family, hiking with your spouse on weekends, regularly filling a bird feeder, set times for prayer or meditation, front yard happy hours with the neighbors or listening to an audiobook every night before bed.

The truth is that you cannot control what happens in life. But you can create a routine that gives your life a predictable rhythm and secure mooring.

This frees your brain to develop perspective so you’re better able to take life’s surprises in stride.

I attended a Thanksgiving dinner several years ago where the hostess, without warning family and friends, broke with tradition and served salmon instead of turkey, roasted potatoes instead of mashed, raspberry coulis instead of cranberry sauce and … you get the idea.

Too many people are still longing for their old routines. Get some new ones instead.

It wasn’t that the meal itself was bad. In fact, the meal was outstanding. The problem was that it wasn’t the meal everyone was expecting.

When there are discrepancies between expectations and reality, all kinds of distress signals go off in the brain.

It doesn’t matter if it’s a holiday ritual or more mundane habit like how you tie your shoes; if you can’t do it the way you normally do it, you’re biologically engineered to get upset.

This in part explains people’s grief and longing for the routines that were the background melodies of their lives before the pandemic

After discussing the common psychological patterns that unfold in inmates, Frankl is careful to challenge the assumption that human beings are invariably shaped by their circumstances.

If there is a meaning in life at all, then there must be a meaning in suffering. Suffering is an ineradicable part of life, even as fate and death. Without suffering and death human life cannot be complete.

Today, perhaps the best case study of cognitive dissonance theory can be found in the prime-time lineup on Fox News, where Donald Trump’s most dedicated supporters are struggling mightily to make sense of the president’s Covid-19 diagnosis.

just as Festinger’s work predicts, they are doubling down on their beliefs, interpreting recent events as incontrovertible proof that they were right from the start.

the figure-eight logic we resort to when our stories don’t align with reality.

Later in her program, Ingraham even managed to find a doctor who challenged the efficacy of masks.

Everyone reckons with cognitive dissonance.

On his Friday show, Sean Hannity was reckoning with his own set of contradictions. He repeated, at almost metronomic intervals, that the president had been admitted to the hospital “out of an abundance of caution.” But in his outrage segment, during which he and his choir of the incensed (rightly) condemned those who wished the president harm, he didn’t blink when Geraldo Rivera said: “I hate when I hear that B.S. cliché ‘an abundance of caution.’ The headline here is that the president of the United States and the first lady of the United States have been diagnosed with Covid disease — a wicked, dangerous, deadly disease that’s already claimed 208,000 American lives.”

People will do a great deal to justify their belief systems, even if it means tolerating a thousand tiny inconsistencies.

And Fox News is especially adept at giving people scripts they can use to minimize their discomfort with bothersome, disconfirming facts.

It was notable, I thought, that a few of Trump’s supporters were wearing masks outside Walter Reed National Military Medical Center.

But I don’t feel much hope. It requires a pretty thick hide to say you disagree with your former self

For those who’ve dismissed or downplayed the threat of the coronavirus, now is a good time to reconsider that position. And for those who’ve prayed for such a conversion, now is a good time simply to be thankful, and not to judge.

While people can improve their recall through tricks and practice, eidetikers are born, not made, says Searleman. The ability isn't linked to other traits, such as high intelligence. Children are more likely to possess eidetic memory than adults, though they begin losing the ability after age six as they learn to process information more abstractly.

Although psychologists don't know why children lose the ability, the loss of this skill may be functional: Were humans to remember every single image, it would be difficult to make it through the day.

When Baidu researchers began developing their own language model, they wanted to build on the masking technique. But they realized they needed to tweak it to accommodate the Chinese language.In English, the word serves as the semantic unit—meaning a word pulled completely out of context still contains meaning. The same cannot be said for characters in Chinese.

It considers the ordering of sentences and the distances between them, for example, to understand the logical progression of a paragraph. Most important, however, it uses a method called continuous training that allows it to train on new data and new tasks without it forgetting those it learned before. This allows it to get better and better at performing a broad range of tasks over time with minimal human interference.

“When we first started this work, we were thinking specifically about certain characteristics of the Chinese language,” says Hao Tian, the chief architect of Baidu Research. “But we quickly discovered that it was applicable beyond that.”

“The sequence, no matter how arbitrary, is going to have some influence on your judgment,” Touré-Tillery says. “And this happens without you knowing that it’s having that kind of influence on your judgment.”

The researchers were struck by the power of the first-member heuristic. “It’s a very strong effect statistically,” she says, and one that seems to endure across contexts. So the researchers wanted to understand if there were any circumstances in which people would stop relying on this mental shortcut.

“This is something that we want to be mindful of, that thinking of someone as the first member of the group can influence what you then expect the rest of the group to do. And expectations are often self-fulfilling.”

there is relief: You are not allowed to extend a pomodoro, either. After a set of four 25-minute intervals are completed, you’re supposed to take a longer break of 15 to 30 minutes before continuing.

It tells us when to start, and also when to stop; and now, more than ever, we have to be told when to stop.

An unquestioned assumption in our culture holds that the more hours spent on work — whether a passion project or office drudgery — the better we’ll perform and the more successful and happier we’ll be. What if none of that’s true?

Leisure time has also taken on a timeless, hypnotic quality lately. Everything our culture produces feels at once never-ending and meaningless — or perhaps meaningless because it’s never-ending.

An everlasting present expands around us in all directions, and it’s easy to get lost in there — all the more reason to set some boundaries.

Now that my breaks are short and fleeting, I think more carefully about what I’d like to do with them, and I’ve found it’s quite different from the unimaginative temptations I would otherwise default to

Instead I’ll make a sandwich, do a quick French lesson, reply to a few texts, have a shower, go to the laundromat; and such humdrum activities, now that they’re restricted, have become sources of great pleasure.

I’ve found that tackling a range of tasks in short bursts keeps things interesting and provides a more rounded life.

Variety is the sugar that helps the medicine go down; not the mirage of variety conjured by infinite scrolling content, by nearly a hundred different flavors of Oreos, but the genuine variety of pursuing different sorts of interests every day.

time-management techniques are for me a way of better understanding which things matter and which don’t.

time management makes time uncanny by revealing how it speeds up and slows down throughout the day, and how many different ways 25 minutes can feel;

it’s not an exaggeration to say that, by changing my relationship with and appreciation of time, the technique has brought me to some profound existential questions about whether I’m wasting my life — my fragile, fleeting life — on activities I neither care about nor enjoy

It has forced me to think about what I’d most like to be doing every day instead. It has made me see time afresh — as something we really don’t have enough of, as something precious precisely because it’s ephemeral.

You might be well-intentioned, rational, and mistaken, simply because so much in our thinking can go wrong. (“RATIONAL, adj.: Devoid of all delusions save those of observation, experience and reflection,”

You might be rational and self-deceptive, because telling yourself that you are rational can itself become a source of bias. It’s possible that you are trying to appear rational only because you want to impress people; or that you are more rational about some things (your job) than others (your kids); or that your rationality gives way to rancor as soon as your ideas are challenged. Perhaps you irrationally insist on answering difficult questions yourself when you’d be better off trusting the expert consensus.

Not just individuals but societies can fall prey to false or compromised rationality. In a 2014 book, “The Revolt of the Public and the Crisis of Authority in the New Millennium,” Martin Gurri, a C.I.A. analyst turned libertarian social thinker, argued that the unmasking of allegedly pseudo-rational institutions had become the central drama of our age: people around the world, having concluded that the bigwigs in our colleges, newsrooms, and legislatures were better at appearing rational than at being so, had embraced a nihilist populism that sees all forms of public rationality as suspect.

modern life would be impossible without those rational systems; we must improve them, not reject them. We have no choice but to wrestle with rationality—an ideal that, the sociologist Max Weber wrote, “contains within itself a world of contradictions.”

Where others might be completely convinced that G.M.O.s are bad, or that Jack is trustworthy, or that the enemy is Eurasia, a Bayesian assigns probabilities to these propositions. She doesn’t build an immovable world view; instead, by continually updating her probabilities, she inches closer to a more useful account of reality. The cooking is never done.

Rationality is one of humanity’s superpowers. How do we keep from misusing it?

Start with the big picture, fixing it firmly in your mind. Be cautious as you integrate new information, and don’t jump to conclusions. Notice when new data points do and do not alter your baseline assumptions (most of the time, they won’t alter them), but keep track of how often those assumptions seem contradicted by what’s new. Beware the power of alarming news, and proceed by putting it in a broader, real-world context.

Bayesian reasoning implies a few “best practices.”

Keep the cooked information over here and the raw information over there; remember that raw ingredients often reduce over heat

We want to live in a more rational society, but not in a falsely rationalized one. We want to be more rational as individuals, but not to overdo it. We need to know when to think and when to stop thinking, when to doubt and when to trust.

But the real power of the Bayesian approach isn’t procedural; it’s that it replaces the facts in our minds with probabilities.

Applied to specific problems—Should you invest in Tesla? How bad is the Delta variant?—the techniques promoted by rationality writers are clarifying and powerful.

the rationality movement is also a social movement; rationalists today form what is sometimes called the “rationality community,” and, as evangelists, they hope to increase its size.

In “Rationality,” “The Scout Mindset,” and other similar books, irrationality is often presented as a form of misbehavior, which might be rectified through education or socialization.

Greg tells me that, in his business, it’s not enough to have rational thoughts. Someone who’s used to pondering questions at leisure might struggle to learn and reason when the clock is ticking; someone who is good at reaching rational conclusions might not be willing to sign on the dotted line when the time comes. Greg’s hedge-fund colleagues describe as “commercial”—a compliment—someone who is not only rational but timely and decisive.

You can know what’s right but still struggle to do it.

Following through on your own conclusions is one challenge. But a rationalist must also be “metarational,” willing to hand over the thinking keys when someone else is better informed or better trained. This, too, is harder than it sounds.

For all this to happen, rationality is necessary, but not sufficient. Thinking straight is just part of the work. 

I found it possible to be metarational with my dad not just because I respected his mind but because I knew that he was a good and cautious person who had my and my mother’s best interests at heart.

between the two of us, we had the right ingredients—mutual trust, mutual concern, and a shared commitment to reason and to act.

Intellectually, we understand that our complex society requires the division of both practical and cognitive labor. We accept that our knowledge maps are limited not just by our smarts but by our time and interests. Still, like Gurri’s populists, rationalists may stage their own contrarian revolts, repeatedly finding that no one’s opinions but their own are defensible. In letting go, as in following through, one’s whole personality gets involved.

in truth, it maps out a series of escalating challenges. In search of facts, we must make do with probabilities. Unable to know it all for ourselves, we must rely on others who care enough to know. We must act while we are still uncertain, and we must act in time—sometimes individually, but often together.

The realities of rationality are humbling. Know things; want things; use what you know to get what you want. It sounds like a simple formula.

The real challenge isn’t being right but knowing how wrong you might be.By Joshua RothmanAugust 16, 2021

Writing about rationality in the early twentieth century, Weber saw himself as coming to grips with a titanic force—an ascendant outlook that was rewriting our values. He talked about rationality in many different ways. We can practice the instrumental rationality of means and ends (how do I get what I want?) and the value rationality of purposes and goals (do I have good reasons for wanting what I want?). We can pursue the rationality of affect (am I cool, calm, and collected?) or develop the rationality of habit (do I live an ordered, or “rationalized,” life?).

Weber worried that it was turning each individual into a “cog in the machine,” and life into an “iron cage.” Today, rationality and the words around it are still shadowed with Weberian pessimism and cursed with double meanings. You’re rationalizing the org chart: are you bringing order to chaos, or justifying the illogical?

For Aristotle, rationality was what separated human beings from animals. For the authors of “The Rationality Quotient,” it’s a mental faculty, parallel to but distinct from intelligence, which involves a person’s ability to juggle many scenarios in her head at once, without letting any one monopolize her attention or bias her against the rest.

In “The Rationality Quotient: Toward a Test of Rational Thinking” (M.I.T.), from 2016, the psychologists Keith E. Stanovich, Richard F. West, and Maggie E. Toplak call rationality “a torturous and tortured term,” in part because philosophers, sociologists, psychologists, and economists have all defined it differently

Galef, who hosts a podcast called “Rationally Speaking” and co-founded the nonprofit Center for Applied Rationality, in Berkeley, barely uses the word “rationality” in her book on the subject. Instead, she describes a “scout mindset,” which can help you “to recognize when you are wrong, to seek out your blind spots, to test your assumptions and change course.” (The “soldier mindset,” by contrast, encourages you to defend your positions at any cost.)

Galef tends to see rationality as a method for acquiring more accurate views.

Pinker, a cognitive and evolutionary psychologist, sees it instrumentally, as “the ability to use knowledge to attain goals.” By this definition, to be a rational person you have to know things, you have to want things, and you have to use what you know to get what you want.

Introspection is key to rationality. A rational person must practice what the neuroscientist Stephen Fleming, in “Know Thyself: The Science of Self-Awareness” (Basic Books), calls “metacognition,” or “the ability to think about our own thinking”—“a fragile, beautiful, and frankly bizarre feature of the human mind.”

A successful student uses metacognition to know when he needs to study more and when he’s studied enough: essentially, parts of his brain are monitoring other parts.

In everyday life, the biggest obstacle to metacognition is what psychologists call the “illusion of fluency.” As we perform increasingly familiar tasks, we monitor our performance less rigorously; this happens when we drive, or fold laundry, and also when we think thoughts we’ve thought many times before

The trick is to break the illusion of fluency, and to encourage an “awareness of ignorance.”

metacognition is a skill. Some people are better at it than others. Galef believes that, by “calibrating” our metacognitive minds, we can improve our performance and so become more rational

There are many calibration methods

nowing about what you know is Rationality 101. The advanced coursework has to do with changes in your knowledge.

Most of us stay informed straightforwardly—by taking in new information. Rationalists do the same, but self-consciously, with an eye to deliberately redrawing their mental maps.

The challenge is that news about distant territories drifts in from many sources; fresh facts and opinions aren’t uniformly significant. In recent decades, rationalists confronting this problem have rallied behind the work of Thomas Bayes

So-called Bayesian reasoning—a particular thinking technique, with its own distinctive jargon—has become de rigueur.

the basic idea is simple. When new information comes in, you don’t want it to replace old information wholesale. Instead, you want it to modify what you already know to an appropriate degree. The degree of modification depends both on your confidence in your preëxisting knowledge and on the value of the new data. Bayesian reasoners begin with what they call the “prior” probability of something being true, and then find out if they need to adjust it.

Bayesian reasoning is an approach to statistics, but you can use it to interpret all sorts of new information.

The complaint — filed last month with the Securities and Exchange Commission and the Department of Justice, as well as the FTC — says thousands of employees still had wide-ranging and poorly tracked internal access to core company software, a situation that for years had led to embarrassing hacks, including the commandeering of accounts held by such high-profile users as Elon Musk and former presidents Barack Obama and Donald Trump.

the whistleblower document alleges the company prioritized user growth over reducing spam, though unwanted content made the user experience worse. Executives stood to win individual bonuses of as much as $10 million tied to increases in daily users, the complaint asserts, and nothing explicitly for cutting spam.

Chief executive Parag Agrawal was “lying” when he tweeted in May that the company was “strongly incentivized to detect and remove as much spam as we possibly can,” the complaint alleges.

Zatko described his decision to go public as an extension of his previous work exposing flaws in specific pieces of software and broader systemic failings in cybersecurity. He was hired at Twitter by former CEO Jack Dorsey in late 2020 after a major hack of the company’s systems.

“I felt ethically bound. This is not a light step to take,” said Zatko, who was fired by Agrawal in January. He declined to discuss what happened at Twitter, except to stand by the formal complaint. Under SEC whistleblower rules, he is entitled to legal protection against retaliation, as well as potential monetary rewards.

“Security and privacy have long been top companywide priorities at Twitter,” said Twitter spokeswoman Rebecca Hahn. She said that Zatko’s allegations appeared to be “riddled with inaccuracies” and that Zatko “now appears to be opportunistically seeking to inflict harm on Twitter, its customers, and its shareholders.” Hahn said that Twitter fired Zatko after 15 months “for poor performance and leadership.” Attorneys for Zatko confirmed he was fired but denied it was for performance or leadership.

A person familiar with Zatko’s tenure said the company investigated Zatko’s security claims during his time there and concluded they were sensationalistic and without merit. Four people familiar with Twitter’s efforts to fight spam said the company deploys extensive manual and automated tools to both measure the extent of spam across the service and reduce it.

Overall, Zatko wrote in a February analysis for the company attached as an exhibit to the SEC complaint, “Twitter is grossly negligent in several areas of information security. If these problems are not corrected, regulators, media and users of the platform will be shocked when they inevitably learn about Twitter’s severe lack of security basics.”

Zatko’s complaint says strong security should have been much more important to Twitter, which holds vast amounts of sensitive personal data about users. Twitter has the email addresses and phone numbers of many public figures, as well as dissidents who communicate over the service at great personal risk.

This month, an ex-Twitter employee was convicted of using his position at the company to spy on Saudi dissidents and government critics, passing their information to a close aide of Crown Prince Mohammed bin Salman in exchange for cash and gifts.

Zatko’s complaint says he believed the Indian government had forced Twitter to put one of its agents on the payroll, with access to user data at a time of intense protests in the country. The complaint said supporting information for that claim has gone to the National Security Division of the Justice Department and the Senate Select Committee on Intelligence. Another person familiar with the matter agreed that the employee was probably an agent.

“Take a tech platform that collects massive amounts of user data, combine it with what appears to be an incredibly weak security infrastructure and infuse it with foreign state actors with an agenda, and you’ve got a recipe for disaster,” Charles E. Grassley (R-Iowa), the top Republican on the Senate Judiciary Committee,

Many government leaders and other trusted voices use Twitter to spread important messages quickly, so a hijacked account could drive panic or violence. In 2013, a captured Associated Press handle falsely tweeted about explosions at the White House, sending the Dow Jones industrial average briefly plunging more than 140 points.

After a teenager managed to hijack the verified accounts of Obama, then-candidate Joe Biden, Musk and others in 2020, Twitter’s chief executive at the time, Jack Dorsey, asked Zatko to join him, saying that he could help the world by fixing Twitter’s security and improving the public conversation, Zatko asserts in the complaint.

In 1998, Zatko had testified to Congress that the internet was so fragile that he and others could take it down with a half-hour of concentrated effort. He later served as the head of cyber grants at the Defense Advanced Research Projects Agency, the Pentagon innovation unit that had backed the internet’s invention.

But at Twitter Zatko encountered problems more widespread than he realized and leadership that didn’t act on his concerns, according to the complaint.

Twitter’s difficulties with weak security stretches back more than a decade before Zatko’s arrival at the company in November 2020. In a pair of 2009 incidents, hackers gained administrative control of the social network, allowing them to reset passwords and access user data. In the first, beginning around January of that year, hackers sent tweets from the accounts of high-profile users, including Fox News and Obama.

Several months later, a hacker was able to guess an employee’s administrative password after gaining access to similar passwords in their personal email account. That hacker was able to reset at least one user’s password and obtain private information about any Twitter user.

Twitter continued to suffer high-profile hacks and security violations, including in 2017, when a contract worker briefly took over Trump’s account, and in the 2020 hack, in which a Florida teen tricked Twitter employees and won access to verified accounts. Twitter then said it put additional safeguards in place.

This year, the Justice Department accused Twitter of asking users for their phone numbers in the name of increased security, then using the numbers for marketing. Twitter agreed to pay a $150 million fine for allegedly breaking the 2011 order, which barred the company from making misrepresentations about the security of personal data.

After Zatko joined the company, he found it had made little progress since the 2011 settlement, the complaint says. The complaint alleges that he was able to reduce the backlog of safety cases, including harassment and threats, from 1 million to 200,000, add staff and push to measure results.

But Zatko saw major gaps in what the company was doing to satisfy its obligations to the FTC, according to the complaint. In Zatko’s interpretation, according to the complaint, the 2011 order required Twitter to implement a Software Development Life Cycle program, a standard process for making sure new code is free of dangerous bugs. The complaint alleges that other employees had been telling the board and the FTC that they were making progress in rolling out that program to Twitter’s systems. But Zatko alleges that he discovered that it had been sent to only a tenth of the company’s projects, and even then treated as optional.

“If all of that is true, I don’t think there’s any doubt that there are order violations,” Vladeck, who is now a Georgetown Law professor, said in an interview. “It is possible that the kinds of problems that Twitter faced eleven years ago are still running through the company.”

The complaint also alleges that Zatko warned the board early in his tenure that overlapping outages in the company’s data centers could leave it unable to correctly restart its servers. That could have left the service down for months, or even have caused all of its data to be lost. That came close to happening in 2021, when an “impending catastrophic” crisis threatened the platform’s survival before engineers were able to save the day, the complaint says, without providing further details.

One current and one former employee recalled that incident, when failures at two Twitter data centers drove concerns that the service could have collapsed for an extended period. “I wondered if the company would exist in a few days,” one of them said.

The current and former employees also agreed with the complaint’s assertion that past reports to various privacy regulators were “misleading at best.”

For example, they said the company implied that it had destroyed all data on users who asked, but the material had spread so widely inside Twitter’s networks, it was impossible to know for sure

As the head of security, Zatko says he also was in charge of a division that investigated users’ complaints about accounts, which meant that he oversaw the removal of some bots, according to the complaint. Spam bots — computer programs that tweet automatically — have long vexed Twitter. Unlike its social media counterparts, Twitter allows users to program bots to be used on its service: For example, the Twitter account @big_ben_clock is programmed to tweet “Bong Bong Bong” every hour in time with Big Ben in London. Twitter also allows people to create accounts without using their real identities, making it harder for the company to distinguish between authentic, duplicate and automated accounts.

In the complaint, Zatko alleges he could not get a straight answer when he sought what he viewed as an important data point: the prevalence of spam and bots across all of Twitter, not just among monetizable users.

Zatko cites a “sensitive source” who said Twitter was afraid to determine that number because it “would harm the image and valuation of the company.” He says the company’s tools for detecting spam are far less robust than implied in various statements.

“Agrawal’s Tweets and Twitter’s previous blog posts misleadingly imply that Twitter employs proactive, sophisticated systems to measure and block spam bots,” the complaint says. “The reality: mostly outdated, unmonitored, simple scripts plus overworked, inefficient, understaffed, and reactive human teams.”

The four people familiar with Twitter’s spam and bot efforts said the engineering and integrity teams run software that samples thousands of tweets per day, and 100 accounts are sampled manually.

Some employees charged with executing the fight agreed that they had been short of staff. One said top executives showed “apathy” toward the issue.

Zatko’s complaint likewise depicts leadership dysfunction, starting with the CEO. Dorsey was largely absent during the pandemic, which made it hard for Zatko to get rulings on who should be in charge of what in areas of overlap and easier for rival executives to avoid collaborating, three current and former employees said.

For example, Zatko would encounter disinformation as part of his mandate to handle complaints, according to the complaint. To that end, he commissioned an outside report that found one of the disinformation teams had unfilled positions, yawning language deficiencies, and a lack of technical tools or the engineers to craft them. The authors said Twitter had no effective means of dealing with consistent spreaders of falsehoods.

Dorsey made little effort to integrate Zatko at the company, according to the three employees as well as two others familiar with the process who spoke on the condition of anonymity to describe sensitive dynamics. In 12 months, Zatko could manage only six one-on-one calls, all less than 30 minutes, with his direct boss Dorsey, who also served as CEO of payments company Square, now known as Block, according to the complaint. Zatko allegedly did almost all of the talking, and Dorsey said perhaps 50 words in the entire year to him. “A couple dozen text messages” rounded out their electronic communication, the complaint alleges.

Faced with such inertia, Zatko asserts that he was unable to solve some of the most serious issues, according to the complaint.

Some 30 percent of company laptops blocked automatic software updates carrying security fixes, and thousands of laptops had complete copies of Twitter’s source code, making them a rich target for hackers, it alleges.

A successful hacker takeover of one of those machines would have been able to sabotage the product with relative ease, because the engineers pushed out changes without being forced to test them first in a simulated environment, current and former employees said.

“It’s near-incredible that for something of that scale there would not be a development test environment separate from production and there would not be a more controlled source-code management process,” said Tony Sager, former chief operating officer at the cyberdefense wing of the National Security Agency, the Information Assurance divisio

Sager is currently senior vice president at the nonprofit Center for Internet Security, where he leads a consensus effort to establish best security practices.

Zatko stopped the material from being presented at the Dec. 9, 2021 meeting, the complaint said. But over his continued objections, Agrawal let it go to the board’s smaller Risk Committee a week later.

“A best practice is that you should only be authorized to see and access what you need to do your job, and nothing else,” said former U.S. chief information security officer Gregory Touhill. “If half the company has access to and can make configuration changes to the production environment, that exposes the company and its customers to significant risk.”

The complaint says Dorsey never encouraged anyone to mislead the board about the shortcomings, but that others deliberately left out bad news.

The complaint says that about half of Twitter’s roughly 7,000 full-time employees had wide access to the company’s internal software and that access was not closely monitored, giving them the ability to tap into sensitive data and alter how the service worked. Three current and former employees agreed that these were issues.

An unnamed executive had prepared a presentation for the new CEO’s first full board meeting, according to the complaint. Zatko’s complaint calls the presentation deeply misleading.

The presentation showed that 92 percent of employee computers had security software installed — without mentioning that those installations determined that a third of the machines were insecure, according to the complaint.

Another graphic implied a downward trend in the number of people with overly broad access, based on the small subset of people who had access to the highest administrative powers, known internally as “God mode.” That number was in the hundreds. But the number of people with broad access to core systems, which Zatko had called out as a big problem after joining, had actually grown slightly and remained in the thousands.

The presentation included only a subset of serious intrusions or other security incidents, from a total Zatko estimated as one per week, and it said that the uncontrolled internal access to core systems was responsible for just 7 percent of incidents, when Zatko calculated the real proportion as 60 percent.

When Dorsey left in November 2021, a difficult situation worsened under Agrawal, who had been responsible for security decisions as chief technology officer before Zatko’s hiring, the complaint says.

Agrawal didn’t respond to requests for comment. In an email to employees after publication of this article, obtained by The Post, he said that privacy and security continues to be a top priority for the company, and he added that the narrative is “riddled with inconsistences” and “presented without important context.”

On Jan. 4, Zatko reported internally that the Risk Committee meeting might have been fraudulent, which triggered an Audit Committee investigation.

Agarwal fired him two weeks later. But Zatko complied with the company’s request to spell out his concerns in writing, even without access to his work email and documents, according to the complaint.

Since Zatko’s departure, Twitter has plunged further into chaos with Musk’s takeover, which the two parties agreed to in May. The stock price has fallen, many employees have quit, and Agrawal has dismissed executives and frozen big projects.

Zatko said he hoped that by bringing new scrutiny and accountability, he could improve the company from the outside.

“I still believe that this is a tremendous platform, and there is huge value and huge risk, and I hope that looking back at this, the world will be a better place, in part because of this.”

Behavioral economics is at the center of the so-called replication crisis, a euphemism for the uncomfortable fact that the results of a significant percentage of social science experiments can’t be reproduced in subsequent trials

this key result was not replicated in similar experiments, undermining confidence in a whole area of study. It’s obvious that we do associate old age and slower walking, and we probably do slow down sometimes when thinking about older people. It’s just not clear that that’s a law of the mind.

And these attempts to “correct” human behavior are based on tenuous science. The replication crisis doesn’t have a simple solution

Journals have instituted reforms like having scientists preregister their hypotheses to avoid the possibility of results being manipulated during the research. But that doesn’t change how many uncertain results are already out there, with a knock-on effect that ripples through huge segments of quantitative social scienc

The Johns Hopkins science historian Ruth Leys, author of a forthcoming book on priming research, points out that cognitive science is especially prone to building future studies off disputed results. Despite the replication crisis, these fields are a “train on wheels, the track is laid and almost nothing stops them,” Dr. Leys said.

These cases result from lax standards around data collection, which will hopefully be corrected. But they also result from strong financial incentives: the possibility of salaries, book deals and speaking and consulting fees that range into the millions. Researchers can get those prizes only if they can show “significant” findings.

It is no coincidence that behavioral economics, from Dr. Kahneman to today, tends to be pro-business. Science should be not just reproducible, but also free of obvious ideology.

Technology and modern data science have only further entrenched behavioral economics. Its findings have greatly influenced algorithm design.

The collection of personal data about our movements, purchases and preferences inform interventions in our behavior from the grocery store to who is arrested by the police.

Setting people up for safety and success and providing good default options isn’t bad in itself, but there are more sinister uses as well. After all, not everyone who wants to exploit your cognitive biases has your best interests at heart.

Despite all its flaws, behavioral economics continues to drive public policy, market research and the design of digital interfaces.

One might think that a kind of moratorium on applying such dubious science would be in order — except that enacting one would be practically impossible. These ideas are so embedded in our institutions and everyday life that a full-scale audit of the behavioral sciences would require bringing much of our society to a standstill.

There is no peer review for algorithms that determine entry to a stadium or access to credit. To perform even the most banal, everyday actions, you have to put implicit trust in unverified scientific results.

We can’t afford to defer questions about human nature, and the social and political policies that come from them, to commercialized “research” that is scientifically questionable and driven by ideology. Behavioral economics claims that humans aren’t rational.

That’s a philosophical claim, not a scientific one, and it should be fought out in a rigorous marketplace of ideas. Instead of unearthing real, valuable knowledge of human nature, behavioral economics gives us “one weird trick” to lose weight or quit smoking.

Humans may not be perfectly rational, but we can do better than the predictably irrational consequences that behavioral economics has left us with today.