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Javier E

Robert Samuelson: Economists face hard times - The Washington Post - 0 views

  • These are hard times for economists. Their reputations are tarnished; their favorite doctrines are damaged. Among their most prominent thinkers, there is no consensus as to how — or whether — governments in advanced countries can improve lackluster recoveries.
  • economists at the Organization for Economic Cooperation and Development (OECD) published a retrospective study of its economic forecasts. This qualifies as an act of bureaucratic courage, because the record was predictably dismal
  • Interestingly, one item not on the list is “too much austerity.” The OECD economists found that they generally hadn’t underestimated the effects of spending cuts and tax increases intended to shrink budget deficits in Spain, Italy, Ireland, Portugal and elsewhere
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  • This conclusion is surely controversial because many economists attribute the weak recovery to misguided austerity, especially in Europe.
  • Perhaps history will vindicate this appeal to Keynesianism. Or perhaps not. The fact is that the United States did respond aggressively under both George W. Bush and Barack Obama. It certainly didn’t embrace austerity. Federal budgets ran massive deficits — $6.2 trillion worth from 2008 to 2013, averaging 6.4 percent of the economy (gross domestic product).Nothing like this had occurred since World War II. Yet, the economy limped along. Why wasn’t this enough?
  • It’s not just Keynesianism that’s under a cloud. The same fate has befallen monetarism — the doctrine that stable growth in the money supply can promote a more stable economy. Since 2008, the Federal Reserve has poured more than $3.2 trillion into the economy to keep interest rates low and accelerate economic growth. By monetarist reasoning, so much money pumped out so quickly should spawn higher inflation. Some economists predicted as much; it hasn’t happened yet. Consumer prices today are up a mere 1.5 percent from a year earlier.
  • The Great Recession and financial crisis changed behavior in fundamental ways that economists have yet to incorporate fully into their models or theories
  • The widespread faith that modern societies were sheltered from deep and sustained economic setbacks has been shattered, causing consumers, business managers and bankers to be more cautious in borrowing and spending. Economic stimulus may offset this caution, but if it signals that the economy is weaker than expected, it may also further depress private spending.
  • The faith in economics was, in many ways, the underlying cause of both the financial crisis and Great Recession — it made people overconfident and careless during the boom — and the basic explanation for the weak recovery, as stubborn caution displaced stubborn complacency
Javier E

The Book Bench: Is Self-Knowledge Overrated? : The New Yorker - 1 views

  • It’s impossible to overstate the influence of Kahneman and Tversky. Like Darwin, they helped to dismantle a longstanding myth of human exceptionalism. Although we’d always seen ourselves as rational creatures—this was our Promethean gift—it turns out that human reason is rather feeble, easily overwhelmed by ancient instincts and lazy biases. The mind is a deeply flawed machine.
  • there is a subtle optimism lurking in all of Kahneman’s work: it is the hope that self-awareness is a form of salvation, that if we know about our mental mistakes, we can avoid them. One day, we will learn to equally weigh losses and gains; science can help us escape from the cycle of human error. As Kahneman and Tversky noted in the final sentence of their classic 1974 paper, “A better understanding of these heuristics and of the biases to which they lead could improve judgments and decisions in situations of uncertainty.” Unfortunately, such hopes appear to be unfounded. Self-knowledge isn’t a cure for irrationality; even when we know why we stumble, we still find a way to fall.
  • self-knowledge is surprisingly useless. Teaching people about the hazards of multitasking doesn’t lead to less texting in the car; learning about the weakness of the will doesn’t increase the success of diets; knowing that most people are overconfident about the future doesn’t make us more realistic. The problem isn’t that we’re stupid—it’s that we’re so damn stubborn
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  • Kahneman has given us a new set of labels for our shortcomings. But his greatest legacy, perhaps, is also his bleakest: By categorizing our cognitive flaws, documenting not just our errors but also their embarrassing predictability, he has revealed the hollowness of a very ancient aspiration. Knowing thyself is not enough. Not even close.
anonymous

Voting Queue Etiquette: Hey, Buddy, That's Out Of Line! : It's All Politics : NPR - 0 views

  • For most of us, Election Day marks a welcome end to months of relentless political ads and partisan bickering.
  • in an age when the rules about when it's OK to express one's political opinion seem to have frayed, what if someone decides the line at the polling station is the place to talk politics?
  • polling station etiquette.
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  • "I don't need you to know whether or not I voted, or which candidate I voted for. I don't care to know your status or opinion either."
  • Unlike Florida, many states have laws against passive electioneering, such as wearing political buttons or T-shirts within a certain distance of the voting machines — usually the demarcation is within 100-150 feet.
  • McDonald says she felt compelled to start a conversation because the woman was wearing a button that declared: "VOTE — your vagina is counting on you." They wound up passing the hour in line discussing politics.
  • "passive electioneering."
  • Of course, there's no law that keeps people from discussing their political opinions as they're queuing to vote.
  • "While standing in line, I will openly engage in discourse with members of the opposition,"
  • "When it comes to the moment of voting, when you're there at the gates, so to speak, there should be a kind of political silence."
  • respect that in America we honor the privacy of the vote, and that we allow each person to make up his or her own mind."
  • If someone's being rude, you might not want to support their candidate
  •  
    Poll etiquette connects to our discussion of how one can influence another person's opinions or thoughts because we care so much about fitting in. On the other hand, many people are stubborn and will fight you off if you try to change their view or talk politics, for example.
mcginnisca

We Talked to One of the World Trade Center Bombers About ISIS and Mass Shootings | VICE... - 0 views

  • Eyad Ismoil is one of the half-dozen men convicted for carrying out the World Trade Center bombings in 1993
  • sentenced to 240 years in prison for driving a rental van packed with a bomb into a garage, killing six and injuring about 1000 more
  • for someone who's supposed to "hate the infidels," he shows no signs of loathing towards the many prisoners and staff who openly despise him.
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  • "hate the infidels,"
  • when I first asked Ismoil about ISIS after the Paris attacks, he asked me one question back: "Why do you think they did it?" I responded with the only thing I knew: "They hate us."
  • He said that to resolve the conflicts between extremists in the Middle East and the West, it was important to talk "human to human," but he also made it clear that he empathizes at least somewhat with the Islamic State. Unsurprisingly, many of his views would be considered appalling to the vast majority of Americans, but our conversation gave me a window into the worldview of people who think the US is to blame for terrorism.
  • ISIS is not jihadists recruited from all over to fight. They are the Sunni Muslims that have lived through 25 years of wars, torture, and rapes. They are the Iraqi and Syrian people that have suffered from unjust wars started by the US government. And when the US government [mostly pulled out of] Iraq in 2010, the Shia and Maliki government started killing the Sunni day and night under the watch of the Americans.
  • You don't have to recruit people for ISIS. They're Muslims from all over the world that have seen an injustice after 25 years and want to help their brothers. What you have to understand is the Iraqi people are the most stubborn of the Muslim world. They won't accept occupation or humiliation.
  • People over in America ask why ISIS did this. [But] people in the Middle East ask, "Why is the US doing this to us?" Put yourself in their shoes—France is dropping bombs for a year in Iraq and [more recently] Syria, destroying everything, women, children, buildings... A bomb doesn't discriminate between ISIS or women and children—it just destroys.
  • Imagine the Iraq and Syrian people. After a year of bombing, you see your people killed, land destroyed, children scared to do anything more than hide in the corners all day. All this coming from bombs in the sky and you can't stop it. What would you do?
  • So, the question should be who is the first to be blamed? Tell both sides of the story.
  • My religion prohibits attacks on civilians. Unfortunately, many Muslims don't know much about Islam
  • What about the Planned Parenthood attack?What this man did is worse then what the doctors do. If this is what he's angry at, taking life, he did worse. Islam doesn't believe in abortion—all life is precious....[But] what he did was kill adult people who are grown. How is he trying to solve the issue?
  • For every action, there's a reaction. If you throw a ball against a wall, it's going to come back at you. If you throw a ball hard, it's going to come back at you hard. This is the problem with all sides in these wars. We hit you, you hit back. We hit you hard, you hit back harder. Back and forth, back and forth. Nobody wins. Both sides end up with death and destruction.
  • The Arabs are not radicalizing themselves. Your government action is radicalizing the Arabs
  • The only thing that keeps us just is Islam. Because in Islam, the peace, the justice, comes from the sky. The one who created earth and man, he knows best.
  • To solve the problem from the root, everyone has to become human. They need to talk, human to human. Let the people decide what they want. Leave them alone. Everyone can come together and say enough is enough. How long are we going to keep this action up? For the rest of our lives?It's the law of the jungle that we're living in right now. We were given more sense than this. We walk on two legs, with our heads high. But right now, we are walking with our heads down. We need to lift our heads up, and use the brains God created for us.
nataliedepaulo1

USA TODAY: Latest World and US News - USATODAY.com - 0 views

  • A "stubborn' decision to move the U.S. Embassy in Israel to Jerusalem would involve "very serious consequences" and damage efforts for peace in the Middle East, French Foreign Minister Jean-Marc Ayrault said Sunday.
  • Hundreds of people rallied in support of Israel outside its embassy in Paris on Sunday."Wwe are here today to express our objection to the Paris Middle East conference, which we consider an anti-Israeli tribunal, similar to the negative decisions adopted by" the United Nations, Francis Kalifat, who heads a Jewish advocacy group in
Javier E

The decline effect and the scientific method : The New Yorker - 3 views

  • The test of replicability, as it’s known, is the foundation of modern research. Replicability is how the community enforces itself. It’s a safeguard for the creep of subjectivity. Most of the time, scientists know what results they want, and that can influence the results they get. The premise of replicability is that the scientific community can correct for these flaws.
  • But now all sorts of well-established, multiply confirmed findings have started to look increasingly uncertain. It’s as if our facts were losing their truth: claims that have been enshrined in textbooks are suddenly unprovable.
  • This phenomenon doesn’t yet have an official name, but it’s occurring across a wide range of fields, from psychology to ecology.
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  • If replication is what separates the rigor of science from the squishiness of pseudoscience, where do we put all these rigorously validated findings that can no longer be proved? Which results should we believe?
  • Schooler demonstrated that subjects shown a face and asked to describe it were much less likely to recognize the face when shown it later than those who had simply looked at it. Schooler called the phenomenon “verbal overshadowing.”
  • The most likely explanation for the decline is an obvious one: regression to the mean. As the experiment is repeated, that is, an early statistical fluke gets cancelled out. The extrasensory powers of Schooler’s subjects didn’t decline—they were simply an illusion that vanished over time.
  • yet Schooler has noticed that many of the data sets that end up declining seem statistically solid—that is, they contain enough data that any regression to the mean shouldn’t be dramatic. “These are the results that pass all the tests,” he says. “The odds of them being random are typically quite remote, like one in a million. This means that the decline effect should almost never happen. But it happens all the time!
  • this is why Schooler believes that the decline effect deserves more attention: its ubiquity seems to violate the laws of statistics
  • In 2001, Michael Jennions, a biologist at the Australian National University, set out to analyze “temporal trends” across a wide range of subjects in ecology and evolutionary biology. He looked at hundreds of papers and forty-four meta-analyses (that is, statistical syntheses of related studies), and discovered a consistent decline effect over time, as many of the theories seemed to fade into irrelevance.
  • Jennions admits that his findings are troubling, but expresses a reluctance to talk about them
  • publicly. “This is a very sensitive issue for scientists,” he says. “You know, we’re supposed to be dealing with hard facts, the stuff that’s supposed to stand the test of time. But when you see these trends you become a little more skeptical of things.”
  • While publication bias almost certainly plays a role in the decline effect, it remains an incomplete explanation. For one thing, it fails to account for the initial prevalence of positive results among studies that never even get submitted to journals. It also fails to explain the experience of people like Schooler, who have been unable to replicate their initial data despite their best efforts.
  • Jennions, similarly, argues that the decline effect is largely a product of publication bias, or the tendency of scientists and scientific journals to prefer positive data over null results, which is what happens when no effect is found. The bias was first identified by the statistician Theodore Sterling, in 1959, after he noticed that ninety-seven per cent of all published psychological studies with statistically significant data found the effect they were looking for
  • Sterling saw that if ninety-seven per cent of psychology studies were proving their hypotheses, either psychologists were extraordinarily lucky or they published only the outcomes of successful experiments.
  • One of his most cited papers has a deliberately provocative title: “Why Most Published Research Findings Are False.”
  • suspects that an equally significant issue is the selective reporting of results—the data that scientists choose to document in the first place. Palmer’s most convincing evidence relies on a statistical tool known as a funnel graph. When a large number of studies have been done on a single subject, the data should follow a pattern: studies with a large sample size should all cluster around a common value—the true result—whereas those with a smaller sample size should exhibit a random scattering, since they’re subject to greater sampling error. This pattern gives the graph its name, since the distribution resembles a funnel.
  • after Palmer plotted every study of fluctuating asymmetry, he noticed that the distribution of results with smaller sample sizes wasn’t random at all but instead skewed heavily toward positive results. Palmer has since documented a similar problem in several other contested subject areas. “Once I realized that selective reporting is everywhere in science, I got quite depressed,” Palmer told me. “As a researcher, you’re always aware that there might be some nonrandom patterns, but I had no idea how widespread it is.”
  • Palmer summarized the impact of selective reporting on his field: “We cannot escape the troubling conclusion that some—perhaps many—cherished generalities are at best exaggerated in their biological significance and at worst a collective illusion nurtured by strong a-priori beliefs often repeated.”
  • Palmer emphasizes that selective reporting is not the same as scientific fraud. Rather, the problem seems to be one of subtle omissions and unconscious misperceptions, as researchers struggle to make sense of their results. Stephen Jay Gould referred to this as the “sho
  • horning” process.
  • “A lot of scientific measurement is really hard,” Simmons told me. “If you’re talking about fluctuating asymmetry, then it’s a matter of minuscule differences between the right and left sides of an animal. It’s millimetres of a tail feather. And so maybe a researcher knows that he’s measuring a good male”—an animal that has successfully mated—“and he knows that it’s supposed to be symmetrical. Well, that act of measurement is going to be vulnerable to all sorts of perception biases. That’s not a cynical statement. That’s just the way human beings work.”
  • For Simmons, the steep rise and slow fall of fluctuating asymmetry is a clear example of a scientific paradigm, one of those intellectual fads that both guide and constrain research: after a new paradigm is proposed, the peer-review process is tilted toward positive results. But then, after a few years, the academic incentives shift—the paradigm has become entrenched—so that the most notable results are now those that disprove the theory.
  • John Ioannidis, an epidemiologist at Stanford University, argues that such distortions are a serious issue in biomedical research. “These exaggerations are why the decline has become so common,” he says. “It’d be really great if the initial studies gave us an accurate summary of things. But they don’t. And so what happens is we waste a lot of money treating millions of patients and doing lots of follow-up studies on other themes based on results that are misleading.”
  • In 2005, Ioannidis published an article in the Journal of the American Medical Association that looked at the forty-nine most cited clinical-research studies in three major medical journals.
  • the data Ioannidis found were disturbing: of the thirty-four claims that had been subject to replication, forty-one per cent had either been directly contradicted or had their effect sizes significantly downgraded.
  • the most troubling fact emerged when he looked at the test of replication: out of four hundred and thirty-two claims, only a single one was consistently replicable. “This doesn’t mean that none of these claims will turn out to be true,” he says. “But, given that most of them were done badly, I wouldn’t hold my breath.”
  • According to Ioannidis, the main problem is that too many researchers engage in what he calls “significance chasing,” or finding ways to interpret the data so that it passes the statistical test of significance—the ninety-five-per-cent boundary invented by Ronald Fisher.
  • One of the classic examples of selective reporting concerns the testing of acupuncture in different countries. While acupuncture is widely accepted as a medical treatment in various Asian countries, its use is much more contested in the West. These cultural differences have profoundly influenced the results of clinical trials.
  • The problem of selective reporting is rooted in a fundamental cognitive flaw, which is that we like proving ourselves right and hate being wrong.
  • “It feels good to validate a hypothesis,” Ioannidis said. “It feels even better when you’ve got a financial interest in the idea or your career depends upon it. And that’s why, even after a claim has been systematically disproven”—he cites, for instance, the early work on hormone replacement therapy, or claims involving various vitamins—“you still see some stubborn researchers citing the first few studies
  • That’s why Schooler argues that scientists need to become more rigorous about data collection before they publish. “We’re wasting too much time chasing after bad studies and underpowered experiments,”
  • The current “obsession” with replicability distracts from the real problem, which is faulty design.
  • “Every researcher should have to spell out, in advance, how many subjects they’re going to use, and what exactly they’re testing, and what constitutes a sufficient level of proof. We have the tools to be much more transparent about our experiments.”
  • Schooler recommends the establishment of an open-source database, in which researchers are required to outline their planned investigations and document all their results. “I think this would provide a huge increase in access to scientific work and give us a much better way to judge the quality of an experiment,”
  • scientific research will always be shadowed by a force that can’t be curbed, only contained: sheer randomness. Although little research has been done on the experimental dangers of chance and happenstance, the research that exists isn’t encouraging.
  • The disturbing implication of the Crabbe study is that a lot of extraordinary scientific data are nothing but noise. The hyperactivity of those coked-up Edmonton mice wasn’t an interesting new fact—it was a meaningless outlier, a by-product of invisible variables we don’t understand.
  • The problem, of course, is that such dramatic findings are also the most likely to get published in prestigious journals, since the data are both statistically significant and entirely unexpected
  • This suggests that the decline effect is actually a decline of illusion. While Karl Popper imagined falsification occurring with a single, definitive experiment—Galileo refuted Aristotelian mechanics in an afternoon—the process turns out to be much messier than that.
  • Many scientific theories continue to be considered true even after failing numerous experimental tests.
  • Even the law of gravity hasn’t always been perfect at predicting real-world phenomena. (In one test, physicists measuring gravity by means of deep boreholes in the Nevada desert found a two-and-a-half-per-cent discrepancy between the theoretical predictions and the actual data.)
  • Such anomalies demonstrate the slipperiness of empiricism. Although many scientific ideas generate conflicting results and suffer from falling effect sizes, they continue to get cited in the textbooks and drive standard medical practice. Why? Because these ideas seem true. Because they make sense. Because we can’t bear to let them go. And this is why the decline effect is so troubling. Not because it reveals the human fallibility of science, in which data are tweaked and beliefs shape perceptions. (Such shortcomings aren’t surprising, at least for scientists.) And not because it reveals that many of our most exciting theories are fleeting fads and will soon be rejected. (That idea has been around since Thomas Kuhn.)
  • The decline effect is troubling because it reminds us how difficult it is to prove anything. We like to pretend that our experiments define the truth for us. But that’s often not the case. Just because an idea is true doesn’t mean it can be proved. And just because an idea can be proved doesn’t mean it’s true. When the experiments are done, we still have to choose what to believe. ♦
Emily Freilich

The Man Who Would Teach Machines to Think - James Somers - The Atlantic - 1 views

  • Douglas Hofstadter, the Pulitzer Prize–winning author of Gödel, Escher, Bach, thinks we've lost sight of what artificial intelligence really means. His stubborn quest to replicate the human mind.
  • “If somebody meant by artificial intelligence the attempt to understand the mind, or to create something human-like, they might say—maybe they wouldn’t go this far—but they might say this is some of the only good work that’s ever been done
  • Their operating premise is simple: the mind is a very unusual piece of software, and the best way to understand how a piece of software works is to write it yourself.
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  • “It depends on what you mean by artificial intelligence.”
  • Computers are flexible enough to model the strange evolved convolutions of our thought, and yet responsive only to precise instructions. So if the endeavor succeeds, it will be a double victory: we will finally come to know the exact mechanics of our selves—and we’ll have made intelligent machines.
  • Ever since he was about 14, when he found out that his youngest sister, Molly, couldn’t understand language, because she “had something deeply wrong with her brain” (her neurological condition probably dated from birth, and was never diagnosed), he had been quietly obsessed by the relation of mind to matter.
  • How could consciousness be physical? How could a few pounds of gray gelatin give rise to our very thoughts and selves?
  • Consciousness, Hofstadter wanted to say, emerged via just the same kind of “level-crossing feedback loop.”
  • In 1931, the Austrian-born logician Kurt Gödel had famously shown how a mathematical system could make statements not just about numbers but about the system itself.
  • But then AI changed, and Hofstadter didn’t change with it, and for that he all but disappeared.
  • By the early 1980s, the pressure was great enough that AI, which had begun as an endeavor to answer yes to Alan Turing’s famous question, “Can machines think?,” started to mature—or mutate, depending on your point of view—into a subfield of software engineering, driven by applications.
  • Take Deep Blue, the IBM supercomputer that bested the chess grandmaster Garry Kasparov. Deep Blue won by brute force.
  • Hofstadter wanted to ask: Why conquer a task if there’s no insight to be had from the victory? “Okay,” he says, “Deep Blue plays very good chess—so what? Does that tell you something about how we play chess? No. Does it tell you about how Kasparov envisions, understands a chessboard?”
  • AI started working when it ditched humans as a model, because it ditched them. That’s the thrust of the analogy: Airplanes don’t flap their wings; why should computers think?
  • It’s a compelling point. But it loses some bite when you consider what we want: a Google that knows, in the way a human would know, what you really mean when you search for something
  • Cognition is recognition,” he likes to say. He describes “seeing as” as the essential cognitive act: you see some lines a
  • How do you make a search engine that understands if you don’t know how you understand?
  • s “an A,” you see a hunk of wood as “a table,” you see a meeting as “an emperor-has-no-clothes situation” and a friend’s pouting as “sour grapes”
  • That’s what it means to understand. But how does understanding work?
  • analogy is “the fuel and fire of thinking,” the bread and butter of our daily mental lives.
  • there’s an analogy, a mental leap so stunningly complex that it’s a computational miracle: somehow your brain is able to strip any remark of the irrelevant surface details and extract its gist, its “skeletal essence,” and retrieve, from your own repertoire of ideas and experiences, the story or remark that best relates.
  • in Hofstadter’s telling, the story goes like this: when everybody else in AI started building products, he and his team, as his friend, the philosopher Daniel Dennett, wrote, “patiently, systematically, brilliantly,” way out of the light of day, chipped away at the real problem. “Very few people are interested in how human intelligence works,”
  • For more than 30 years, Hofstadter has worked as a professor at Indiana University at Bloomington
  • The quick unconscious chaos of a mind can be slowed down on the computer, or rewound, paused, even edited
  • project out of IBM called Candide. The idea behind Candide, a machine-translation system, was to start by admitting that the rules-based approach requires too deep an understanding of how language is produced; how semantics, syntax, and morphology work; and how words commingle in sentences and combine into paragraphs—to say nothing of understanding the ideas for which those words are merely conduits.
  • , Hofstadter directs the Fluid Analogies Research Group, affectionately known as FARG.
  • Parts of a program can be selectively isolated to see how it functions without them; parameters can be changed to see how performance improves or degrades. When the computer surprises you—whether by being especially creative or especially dim-witted—you can see exactly why.
  • When you read Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought, which describes in detail this architecture and the logic and mechanics of the programs that use it, you wonder whether maybe Hofstadter got famous for the wrong book.
  • ut very few people, even admirers of GEB, know about the book or the programs it describes. And maybe that’s because FARG’s programs are almost ostentatiously impractical. Because they operate in tiny, seemingly childish “microdomains.” Because there is no task they perform better than a human.
  • “The entire effort of artificial intelligence is essentially a fight against computers’ rigidity.”
  • “Nobody is a very reliable guide concerning activities in their mind that are, by definition, subconscious,” he once wrote. “This is what makes vast collections of errors so important. In an isolated error, the mechanisms involved yield only slight traces of themselves; however, in a large collection, vast numbers of such slight traces exist, collectively adding up to strong evidence for (and against) particular mechanisms.
  • So IBM threw that approach out the window. What the developers did instead was brilliant, but so straightforward,
  • The technique is called “machine learning.” The goal is to make a device that takes an English sentence as input and spits out a French sentence
  • What you do is feed the machine English sentences whose French translations you already know. (Candide, for example, used 2.2 million pairs of sentences, mostly from the bilingual proceedings of Canadian parliamentary debates.)
  • By repeating this process with millions of pairs of sentences, you will gradually calibrate your machine, to the point where you’ll be able to enter a sentence whose translation you don’t know and get a reasonable resul
  • Google Translate team can be made up of people who don’t speak most of the languages their application translates. “It’s a bang-for-your-buck argument,” Estelle says. “You probably want to hire more engineers instead” of native speakers.
  • But the need to serve 1 billion customers has a way of forcing the company to trade understanding for expediency. You don’t have to push Google Translate very far to see the compromises its developers have made for coverage, and speed, and ease of engineering. Although Google Translate captures, in its way, the products of human intelligence, it isn’t intelligent itself.
  • “Did we sit down when we built Watson and try to model human cognition?” Dave Ferrucci, who led the Watson team at IBM, pauses for emphasis. “Absolutely not. We just tried to create a machine that could win at Jeopardy.”
  • For Ferrucci, the definition of intelligence is simple: it’s what a program can do. Deep Blue was intelligent because it could beat Garry Kasparov at chess. Watson was intelligent because it could beat Ken Jennings at Jeopardy.
  • “There’s a limited number of things you can do as an individual, and I think when you dedicate your life to something, you’ve got to ask yourself the question: To what end? And I think at some point I asked myself that question, and what it came out to was, I’m fascinated by how the human mind works, it would be fantastic to understand cognition, I love to read books on it, I love to get a grip on it”—he called Hofstadter’s work inspiring—“but where am I going to go with it? Really what I want to do is build computer systems that do something.
  • Peter Norvig, one of Google’s directors of research, echoes Ferrucci almost exactly. “I thought he was tackling a really hard problem,” he told me about Hofstadter’s work. “And I guess I wanted to do an easier problem.”
  • Of course, the folly of being above the fray is that you’re also not a part of it
  • As our machines get faster and ingest more data, we allow ourselves to be dumber. Instead of wrestling with our hardest problems in earnest, we can just plug in billions of examples of them.
  • Hofstadter hasn’t been to an artificial-intelligence conference in 30 years. “There’s no communication between me and these people,” he says of his AI peers. “None. Zero. I don’t want to talk to colleagues that I find very, very intransigent and hard to convince of anything
  • Everything from plate tectonics to evolution—all those ideas, someone had to fight for them, because people didn’t agree with those ideas.
  • Academia is not an environment where you just sit in your bath and have ideas and expect everyone to run around getting excited. It’s possible that in 50 years’ time we’ll say, ‘We really should have listened more to Doug Hofstadter.’ But it’s incumbent on every scientist to at least think about what is needed to get people to understand the ideas.”
markfrankel18

The Cambridge Declaration on Consciousness - Shunya's Notes - 0 views

  • A congregation of scientists in Cambridge, UK, recently issued a formal declaration that lots of non-human animals, including mammals, birds, and likely even octopuses are conscious beings. What do they mean by consciousness, you ask? It's a state of awareness of one's body and one's environment, anywhere from basic perceptual awareness to the reflective self-awareness of humans. This declaration will surely strike many of us as ancient news and a long overdue recognition, even as it may annoy the stubborn skeptics among us. 
  • We declare the following: “The absence of a neocortex does not appear to preclude an organism from experiencing affective states. Convergent evidence indicates that non-human animals have the neuroanatomical, neurochemical, and neurophysiological substrates of conscious states along with the capacity to exhibit intentional behaviors. Consequently, the weight of evidence indicates that humans are not unique in possessing the neurological substrates that generate consciousness. Non- human animals, including all mammals and birds, and many other creatures, including octopuses, also possess these neurological substrates.
Javier E

The Irrational Risk of Thinking We Can Be Rational About Risk | Risk: Reason and Realit... - 0 views

  • in the most precise sense of the word, facts are meaningless…just disconnected ones and zeroes in the computer until we run them through the software of how those facts feel
  • Of all the building evidence about human cognition that suggests we ought to be a little more humble about our ability to reason, no other finding has more significance, because Elliott teaches us that no matter how smart we like to think we are, our perceptions are inescapably a blend of reason and gut reaction, intellect and instinct, facts and feelings.
  • many people, particularly intellectuals and academics and policy makers, maintain a stubborn post-Enlightenment confidence in the supreme power of rationality. They continue to believe that we can make the ‘right’ choices about risk based on the facts, that with enough ‘sound science’ evidence from toxicology and epidemiology and cost-benefit analysis, the facts will reveal THE TRUTH. At best this confidence is hopeful naivete. At worst, it is intellectual arrogance that denies all we’ve learned about the realities of human cognition. In either case, it’s dangerous
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  • There are more than a dozen of these risk perception factors, (see Ch. 3 of “How Risky Is It, Really? Why Our Fears Don’t Match the Facts", available online free at)
  • Because our perceptions rely as much as or more on feelings than simply on the facts, we sometimes get risk wrong. We’re more afraid of some risks than we need to be (child abduction, vaccines), and not as afraid of some as we ought to be (climate change, particulate air pollution), and that “Perception Gap” can be a risk in and of itself
  • We must understand that instinct and intellect are interwoven components of a single system that helps us perceive the world and make our judgments and choices, a system that worked fine when the risks we faced were simpler but which can make dangerous mistakes as we try to figure out some of the more complex dangers posed in our modern world.
  • What we can do to avoid the dangers that arise when our fears don’t match the facts—the most rational thing to do—is, first, to recognize that our risk perceptions can never be purely objectively perfectly 'rational', and that our subjective perceptions are prone to potentially dangerous mistakes.
  • Then we can begin to apply all the details we've discovered of how our risk perception system works, and use that knowledge and self-awareness to make wiser, more informed, healthier choices
Javier E

Let's call them all lunatics: Fearful "balanced" "journalists" let wingnuts run wild - ... - 0 views

  • In their 2012 book, “It’s Even Worse Than it Looks: How the American Constitutional System Collided With the New Politics of Extremism,” Thomas Mann and Norm Ornstein argued that America’s political dysfunction had two causes: First, the mismatch between our constitutional system, requiring compromise, and our increasingly polarized, parliamentary-style politics.
  • Second, the fact that polarization has been asymmetric, turning the GOP into an insurrectionary anti-government party, even when in power.
  • Despite overwhelming historical data showing asymmetrical polarization in Congress (more recent additions here), their argument did not convince the anecdote-obsessed Beltway pundit class, with its deep belief that “both sides do it,” no matter what “it” may be.
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  • It’s true there are “extremists on both sides,” but as this Wonk Blog post showed, the percentage of non-centrist Republicans skyrocketed from under 10 percent in the Ford years (less than Democrats) to almost 90 percent today, while the Democratic percentage has stayed basically flat [chart].
  • What’s more, in the last session (2013-2014), the data shows that 147 House Republicans — more than half the caucus — were more ideologically extreme than the most extreme Democrat in the House. There is simply no comparison between the two partie
  • But it’s a fact that “balanced” journalism has to ignore. To admit that the political world isn’t balanced would shake their whole belief system to its core. And yet, the shaking seems to have begun
  • The GOP’s strategic logic is simple and straightforward: If the media is going to split the difference between what Democrats and Republicans say, then if Republicans simply double their demands, suddenly the media, embracing the “sensible center,” will now articulate the old GOP position as the “sensible center,” the “common sense” place to be
  • Their stubborn adherence to a false balance narrative has, ironically, become an integral part of the GOP’s relentless rightward push. By talking about “government dysfunction” instead of “Republican obstruction,” the media actively helps the most extreme anti-government Republicans thwart any efforts at competent governance and it helps promote their “government is horrible” worldview
  • There was once a penalty for becoming too politically extreme: one’s actions would be characterized as unrealistic, destructive, heedless of past experience, etc. Sometimes this was justified, sometimes not (as with the Civil Rights movement). But right or wrong, this media practice inhibited radical movements in either direction.
  • For quite some time now, however, conservative Republicans have realized that by moving right and attacking the media for any criticism, they can turn the media into a tacit ally, forcing them to treat preposterous claims as serious ideas, or even proven facts
  • Norm’s response underscores the reality of asymmetric polarization, which the mainstream media and most good government groups have avoided discussing — at great costs to the country
  • Thus, when they were planning to force a government shutdown, a key part of their strategy was spinning the media with a preposterous argument that it was the Democrats who were shutting down the government, even though, as the New York Times reported, the shutdown plan traced back to a meeting early in President Obama’s second term, led by former Attorney General Edwin R. Meese.
  • What’s more, once the media plays along, it’s a trick that can be used over and over again. One can keep moving farther and farther right indefinitely, pulling the “objective” media along for the ride, every step of the way. (Conservatives even developed an operational model to describe the process, known as the “Overton Window,” explained by a conservative activist here.)
  • The basis for all this is a cultural illusion that the “nonpartisan” media is somehow objective, philosophically in tune with science.
  • historically, this is far from true. Up until the late 19th century, American journalism was quite partisan, serving substantial “niche” audiences, sustained by subscriptions.
  • hen advertising exploded as a revenue source in the early 20th century, a new journalistic model emerged, trying to appeal across parties, while taking care not to anger large advertisers. The broader story is well told by Paul Starr in “The Creation of the Media
  • Jeremy Iggers incorporates this history into his account of how journalism ethics confuses the purposes of journalism in “Good News, Bad News: Journalism Ethics and the Public Interest.”
  • Such is the basis for the media’s claims of “objectivity.” Starr’s history explains the forces leading to why this happened.
  • the blogosphere’s origins were not just Usenet, email lists and the like, they were also the underground press tracing back to IF Stone’s Weekly and George Seldes’ In Fact; the black press, both commercial and movement-based; political journals of the left and right; and so on
  • These underappreciated traditions provide largely untapped examples of how to do quality political journalism outside of the artificial construct in which false balance is rooted. They point the way forward for us, beyond our current state of asymmetrical dysfunction.
oliviaodon

Climate Science Meets a Stubborn Obstacle: Students - The New York Times - 0 views

  • WELLSTON, Ohio — To Gwen Beatty, a junior at the high school in this proud, struggling, Trump-supporting town, the new science teacher’s lessons on climate change seemed explicitly designed to provoke her.So she provoked him back.When the teacher, James Sutter, ascribed the recent warming of the Earth to heat-trapping gases released by burning fossil fuels like the coal her father had once mined, she asserted that it could be a result of other, natural causes.When he described the flooding, droughts and fierce storms that scientists predict within the century if such carbon emissions are not sharply reduced, she challenged him to prove it. “Scientists are wrong all the time,” she said with a shrug, echoing those celebrating President Trump’s announcement last week that the United States would withdraw from the Paris climate accord.
  • She was, he knew, a straight-A student. She would have had no trouble comprehending the evidence, embedded in ancient tree rings, ice, leaves and shells, as well as sophisticated computer models, that atmospheric carbon dioxide is the chief culprit when it comes to warming the world.
  • When she insisted that teachers “are supposed to be open to opinions,” however, Mr. Sutter held his ground.“It’s not about opinions,” he told her. “It’s about the evidence.”
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  • As more of the nation’s teachers seek to integrate climate science into the curriculum, many of them are reckoning with students for whom suspicion of the subject is deeply rooted.
  • rejecting the key findings of climate science can seem like a matter of loyalty to a way of life already under siege.
  • Originally tied, perhaps, to economic self-interest, climate skepticism has itself become a proxy for conservative ideals of hard work, small government and what people here call “self-sustainability.”
  • “What people ‘believe’ about global warming doesn’t reflect what they know,” Dan Kahan, a Yale researcher who studies political polarization, has stressed in talks, papers and blog posts. “It expresses who they are.”
  •  
    I thought this article was very interesting as it showed students' increasing suspicion of climate change. Something I found remarkable is that one student said that teachers should be open to opinions, but the environmental teacher said, 'It's not about opinions, it's about the evidence." The article also touched on the way economic self-interest led to a town's climate skepticism.
Javier E

How Do You Know When Society Is About to Fall Apart? - The New York Times - 1 views

  • Tainter seemed calm. He walked me through the arguments of the book that made his reputation, “The Collapse of Complex Societies,” which has for years been the seminal text in the study of societal collapse, an academic subdiscipline that arguably was born with its publication in 1988
  • It is only a mild overstatement to suggest that before Tainter, collapse was simply not a thing.
  • His own research has moved on; these days, he focuses on “sustainability.”
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  • He writes with disarming composure about the factors that have led to the disintegration of empires and the abandonment of cities and about the mechanism that, in his view, makes it nearly certain that all states that rise will one day fall
  • societal collapse and its associated terms — “fragility” and “resilience,” “risk” and “sustainability” — have become the objects of extensive scholarly inquiry and infrastructure.
  • Princeton has a research program in Global Systemic Risk, Cambridge a Center for the Study of Existential Risk
  • even Tainter, for all his caution and reserve, was willing to allow that contemporary society has built-in vulnerabilities that could allow things to go very badly indeed — probably not right now, maybe not for a few decades still, but possibly sooner. In fact, he worried, it could begin before the year was over.
  • Plato, in “The Republic,” compared cities to animals and plants, subject to growth and senescence like any living thing. The metaphor would hold: In the early 20th century, the German historian Oswald Spengler proposed that all cultures have souls, vital essences that begin falling into decay the moment they adopt the trappings of civilization.
  • that theory, which became the heart of “The Collapse of Complex Societies.” Tainter’s argument rests on two proposals. The first is that human societies develop complexity, i.e. specialized roles and the institutional structures that coordinate them, in order to solve problems
  • All history since then has been “characterized by a seemingly inexorable trend toward higher levels of complexity, specialization and sociopolitical control.”
  • Eventually, societies we would recognize as similar to our own would emerge, “large, heterogeneous, internally differentiated, class structured, controlled societies in which the resources that sustain life are not equally available to all.”
  • Something more than the threat of violence would be necessary to hold them together, a delicate balance of symbolic and material benefits that Tainter calls “legitimacy,” the maintenance of which would itself require ever more complex structures, which would become ever less flexible, and more vulnerable, the more they piled up.
  • Social complexity, he argues, is inevitably subject to diminishing marginal returns. It costs more and more, in other words, while producing smaller and smaller profits.
  • Take Rome, which, in Tainter's telling, was able to win significant wealth by sacking its neighbors but was thereafter required to maintain an ever larger and more expensive military just to keep the imperial machine from stalling — until it couldn’t anymore.
  • This is how it goes. As the benefits of ever-increasing complexity — the loot shipped home by the Roman armies or the gentler agricultural symbiosis of the San Juan Basin — begin to dwindle, Tainter writes, societies “become vulnerable to collapse.”
  • haven’t countless societies weathered military defeats, invasions, even occupations and lengthy civil wars, or rebuilt themselves after earthquakes, floods and famines?
  • Only complexity, Tainter argues, provides an explanation that applies in every instance of collapse.
  • Complexity builds and builds, usually incrementally, without anyone noticing how brittle it has all become. Then some little push arrives, and the society begins to fracture.
  • A disaster — even a severe one like a deadly pandemic, mass social unrest or a rapidly changing climate — can, in Tainter’s view, never be enough by itself to cause collapse
  • The only precedent Tainter could think of, in which pandemic coincided with mass social unrest, was the Black Death of the 14th century. That crisis reduced the population of Europe by as much as 60 percent.
  • Whether any existing society is close to collapsing depends on where it falls on the curve of diminishing returns.
  • The United States hardly feels like a confident empire on the rise these days. But how far along are we?
  • Scholars of collapse tend to fall into two loose camps. The first, dominated by Tainter, looks for grand narratives and one-size-fits-all explanations
  • The second is more interested in the particulars of the societies they study
  • Patricia McAnany, who teaches at the University of North Carolina at Chapel Hill, has questioned the usefulness of the very concept of collapse — she was an editor of a 2010 volume titled “Questioning Collapse” — but admits to being “very, very worried” about the lack, in the United States, of the “nimbleness” that crises require of governments.
  • We’re too vested and tied to places.” Without the possibility of dispersal, or of real structural change to more equitably distribute resources, “at some point the whole thing blows. It has to.”
  • In Turchin’s case the key is the loss of “social resilience,” a society’s ability to cooperate and act collectively for common goals. By that measure, Turchin judges that the United States was collapsing well before Covid-19 hit. For the last 40 years, he argues, the population has been growing poorer and more unhealthy as elites accumulate more and more wealth and institutional legitimacy founders. “The United States is basically eating itself from the inside out,
  • Inequality and “popular immiseration” have left the country extremely vulnerable to external shocks like the pandemic, and to internal triggers like the killings of George Floyd
  • Societies evolve complexity, he argues, precisely to meet such challenges.
  • Eric H. Cline, who teaches at the George Washington University, argued in “1177 B.C.: The Year Civilization Collapsed” that Late Bronze Age societies across Europe and western Asia crumbled under a concatenation of stresses, including natural disasters — earthquakes and drought — famine, political strife, mass migration and the closure of trade routes. On their own, none of those factors would have been capable of causing such widespread disintegration, but together they formed a “perfect storm” capable of toppling multiple societies all at once.
  • Collapse “really is a matter of when,” he told me, “and I’m concerned that this may be the time.”
  • In “The Collapse of Complex Societies,” Tainter makes a point that echoes the concern that Patricia McAnany raised. “The world today is full,” Tainter writes. Complex societies occupy every inhabitable region of the planet. There is no escaping. This also means, he writes, that collapse, “if and when it comes again, will this time be global.” Our fates are interlinked. “No longer can any individual nation collapse. World civilization will disintegrate as a whole.”
  • If it happens, he says, it would be “the worst catastrophe in history.”
  • The quest for efficiency, he wrote recently, has brought on unprecedented levels of complexity: “an elaborate global system of production, shipping, manufacturing and retailing” in which goods are manufactured in one part of the world to meet immediate demands in another, and delivered only when they’re needed. The system’s speed is dizzying, but so are its vulnerabilities.
  • A more comprehensive failure of fragile supply chains could mean that fuel, food and other essentials would no longer flow to cities. “There would be billions of deaths within a very short period,” Tainter says.
  • If we sink “into a severe recession or a depression,” Tainter says, “then it will probably cascade. It will simply reinforce itself.”
  • Tainter tells me, he has seen “a definite uptick” in calls from journalists: The study of societal collapse suddenly no longer seems like a purely academic pursuit
  • Turchin is keenly aware of the essential instability of even the sturdiest-seeming systems. “Very severe events, while not terribly likely, are quite possible,” he says. When he emigrated from the U.S.S.R. in 1977, he adds, no one imagined the country would splinter into its constituent parts. “But it did.”
  • He writes of visions of “bloated bureaucracies” becoming the basis of “entire political careers.” Arms races, he observes, presented a “classic example” of spiraling complexity that provides “no tangible benefit for much of the population” and “usually no competitive advantage” either.
  • It is hard not to read the book through the lens of the last 40 years of American history, as a prediction of how the country might deteriorate if resources continued to be slashed from nearly every sector but the military, prisons and police.
  • The more a population is squeezed, Tainter warns, the larger the share that “must be allocated to legitimization or coercion.
  • And so it was: As U.S. military spending skyrocketed — to, by some estimates, a total of more than $1 trillion today from $138 billion in 1980 — the government would try both tactics, ingratiating itself with the wealthy by cutting taxes while dismantling public-assistance programs and incarcerating the poor in ever-greater numbers.
  • “As resources committed to benefits decline,” Tainter wrote in 1988, “resources committed to control must increase.”
  • The overall picture drawn by Tainter’s work is a tragic one. It is our very creativity, our extraordinary ability as a species to organize ourselves to solve problems collectively, that leads us into a trap from which there is no escaping
  • Complexity is “insidious,” in Tainter’s words. “It grows by small steps, each of which seems reasonable at the time.” And then the world starts to fall apart, and you wonder how you got there.
  • Perhaps collapse is not, actually, a thing. Perhaps, as an idea, it was a product of its time, a Cold War hangover that has outlived its usefulness, or an academic ripple effect of climate-change anxiety, or a feedback loop produced by some combination of the two
  • if you pay attention to people’s lived experience, and not just to the abstractions imposed by a highly fragmented archaeological record, a different kind of picture emerges.
  • Tainter’s understanding of societies as problem-solving entities can obscure as much as it reveals
  • Plantation slavery arose in order to solve a problem faced by the white landowning class: The production of agricultural commodities like sugar and cotton requires a great deal of backbreaking labor. That problem, however, has nothing to do with the problems of the people they enslaved. Which of them counts as “society”?
  • Since the beginning of the pandemic, the total net worth of America’s billionaires, all 686 of them, has jumped by close to a trillion dollars.
  • If societies are not in fact unitary, problem-solving entities but heaving contradictions and sites of constant struggle, then their existence is not an all-or-nothing game.
  • Collapse appears not as an ending, but a reality that some have already suffered — in the hold of a slave ship, say, or on a long, forced march from their ancestral lands to reservations faraway — and survived.
  • The current pandemic has already given many of us a taste of what happens when a society fails to meet the challenges that face it, when the factions that rule over it tend solely to their own problems
  • the real danger comes from imagining that we can keep living the way we always have, and that the past is any more stable than the present.
  • If you close your eyes and open them again, the periodic disintegrations that punctuate our history — all those crumbling ruins — begin to fade, and something else comes into focus: wiliness, stubbornness and, perhaps the strongest and most essential human trait, adaptability.
  • When one system fails, we build another. We struggle to do things differently, and we push on. As always, we have no other choice.
margogramiak

Monkeys, like humans, persist at tasks they've already invested in: Studying this pheno... - 0 views

  • If you've ever stayed in a relationship too long or stuck with a project that was going nowhere, you're not alone.
  • If you've ever stayed in a relationship too long or stuck with a project that was going nowhere, you're not alone.
    • margogramiak
       
      I've definitely been there before. I assume it's part of "human nature" which we've talked about in class before.
  • It's called the "sunk costs" phenomenon, where the more resources we sink into an endeavor, the likelier we are to continue -- even if we sense it's futile.
    • margogramiak
       
      A perfect example of the stubbornness of humans... yet another example of human nature.
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  • deep, evolutionarily ancient mechanism that helps us balance overall cost and benefit.
    • margogramiak
       
      That's interesting. I've never thought about this, but it makes sense that human's would have that built in.
  • Second, it may be influenced by uncertainty about the outcome (you never know, it might work out, so why not keep trying?)
    • margogramiak
       
      I've definitely had this mindset before.
  • have shown that both capuchin monkeys and rhesus macaques are susceptible to the same behavior and that it occurs more often when the monkeys are uncertain about the outcome.
    • margogramiak
       
      Wow! That's interesting.
  • That helps when you're foraging for food, hunting prey, waiting for eggs to hatch, seeking a mate, or building a nest or enclosure.
    • margogramiak
       
      Survival instinct aspect.
  • "They're like my second set of kids," she said.
    • margogramiak
       
      Glad to hear that though they are used for research, they are loved and taken care of.
  • "Most rounds lasted only 1 second. So if you didn't get a reward after that, it was actually better to quit and start a new round. That would likely get you a treat sooner than if you had kept going."
    • margogramiak
       
      I can see how this would be a good test of resilience in the context of the test.
  • "They persisted 5 to 7 times longer than was optimal," said Brosnan, "and the longer they had already tried, the more likely they were to complete the entire task."
    • margogramiak
       
      I think that's definitely proof of similarity!
  • t suggests that this behavior is likely driven by evolution and deeply embedded across species.
    • margogramiak
       
      Interesting how something so simple can tie back into something so complex like evolution.
  • "Monkeys have really quick reaction times on these games," said Brosnan, "so one second to them is actually a long time."
    • margogramiak
       
      Wow, I never knew that about monkeys.
  • it shows that human capacities like rationalization, or human concerns like not giving up on something we have publicly committed to, are probably not the main drivers of the sunk cost phenomenon.
    • margogramiak
       
      It's not just a human thing.
  • reminds us that there is sometimes a good reason to give up.
    • margogramiak
       
      I think there are times when I could use this reminder!
johnsonel7

How to get better at admitting you're wrong - 0 views

  • There’s nothing inherently wrong with having a little pride. It can propel you forward in tough situations and demonstrates a level of self-assuredness that we all strive for in our personal and professional lives. But there’s a narrow line dividing healthy confidence and stubborn ego, and one of the primary indicators you’ve landed on the wrong side is not being able to admit when you’re wrong.
  • Struggling to admit our own fault, though — whether it was a major breach or a minor mess-up — doesn’t really serve us well. Not only can it sour some of our closest relationships, but it can even be detrimental to our own personal growth.
  • In other cases, though, it’s possible to be aware that you’re wrong — whether mildly or outright — but still struggle to wave the guilty flag due to our precious egos.
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  • This process is referred to as cognitive dissonance — an unconscious defense system that many of us employ to protect our ego.
  • “Admitting we are wrong shows others that we are compassionate, empathetic, sympathetic, and good listeners. It also shows that we are capable of being objective about ourselves and that we not ‘perfect’ or always right.”
peterconnelly

Wikipedia acts as a check on Putin's false view of history - The Washington Post - 0 views

  • Whether to call Hitler gravely immoral or evil is one of literally hundreds of discussions about this article, which is among the most viewed ever on the site — more than 125 million times over the last 15 years, twice as many as Jesus’s total and in the neighborhood of the number for the soccer player Cristiano Ronaldo.
  • Setting the record straight matters because historical misinformation walks hand in hand with current disinformation.
  • Putin has two claims he says are backed by the historical record: that there has never been a separate Ukrainian nation, and that people who claim there is a separate nation must have another motive, whether personal gain or an ideological cause like Nazism.
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  • She showed that accounts of so-called “aces” — fighters said to have heroically held off much more powerful enemies with a single tank or plane — were based on propaganda.
  • In making these repairs, Coffman faced resistance from a group of editors who were mainly military buffs and wanted to write about battlefield valor without too much scrutiny. She, however, kept coming back to facts and sources — how do we know what we think we know? — and an insistence that Wikipedia not be swept up in mythology.
  • In a speech last year, Putin strolled through 1,000 years of battles and alliances to justify his claim of the “historical unity of Russians and Ukrainians.”
  • Just look at the rhetoric around Russian’s invasion of Ukraine, which Vladimir Putin has described as a battle to “de-Nazify” the leadership of Ukraine.
  • Since the Russian invasion, the English Wikipedia articles about the historical figures and topics Putin invoked have been racking up pop-star numbers.
  • When it comes to allegations about Nazi collaboration by prominent Ukrainian nationalists like Bandera, Wikipedia has pulled no punches. Even as Putin has emphasized these Nazi ties as a reason for his invasion, Wikipedia has resisted attempts to water down this history.
  • When Putin’s foreign minister, Sergei Lavrov, was asked how Ukraine could be in need of de-Nazification if its president, Volodymyr Zelensky, is Jewish, Lavrov replied: “I could be wrong, but Hitler also had Jewish blood. [That Zelensky is Jewish] means absolutely nothing. Wise Jewish people say that the most ardent anti-Semites are usually Jews.” It was an appalling answer that, according to the Israeli government, Putin apologized for.
  • In an unusual step, the English Wikipedia article brings up this particular falsehood to explicitly refute it.
  • The Wikipedia project comes with a stubborn confidence that facts can guide us through the darkness. In Wikipedia’s 20-year history, this belief has never been asked to do more.
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