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Javier E

The Navy's USS Gabrielle Giffords and the Future of Work - The Atlantic - 0 views

  • Minimal manning—and with it, the replacement of specialized workers with problem-solving generalists—isn’t a particularly nautical concept. Indeed, it will sound familiar to anyone in an organization who’s been asked to “do more with less”—which, these days, seems to be just about everyone.
  • Ten years from now, the Deloitte consultant Erica Volini projects, 70 to 90 percent of workers will be in so-called hybrid jobs or superjobs—that is, positions combining tasks once performed by people in two or more traditional roles.
  • If you ask Laszlo Bock, Google’s former culture chief and now the head of the HR start-up Humu, what he looks for in a new hire, he’ll tell you “mental agility.
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  • “What companies are looking for,” says Mary Jo King, the president of the National Résumé Writers’ Association, “is someone who can be all, do all, and pivot on a dime to solve any problem.”
  • The phenomenon is sped by automation, which usurps routine tasks, leaving employees to handle the nonroutine and unanticipated—and the continued advance of which throws the skills employers value into flux
  • Or, for that matter, on the relevance of the question What do you want to be when you grow up?
  • By 2020, a 2016 World Economic Forum report predicted, “more than one-third of the desired core skill sets of most occupations” will not have been seen as crucial to the job when the report was published
  • I asked John Sullivan, a prominent Silicon Valley talent adviser, why should anyone take the time to master anything at all? “You shouldn’t!” he replied.
  • Minimal manning—and the evolution of the economy more generally—requires a different kind of worker, with not only different acquired skills but different inherent abilities
  • It has implications for the nature and utility of a college education, for the path of careers, for inequality and employability—even for the generational divide.
  • Then, in 2001, Donald Rumsfeld arrived at the Pentagon. The new secretary of defense carried with him a briefcase full of ideas from the corporate world: downsizing, reengineering, “transformational” technologies. Almost immediately, what had been an experimental concept became an article of faith
  • But once cadets got into actual command environments, which tend to be fluid and full of surprises, a different picture emerged. “Psychological hardiness”—a construct that includes, among other things, a willingness to explore “multiple possible response alternatives,” a tendency to “see all experience as interesting and meaningful,” and a strong sense of self-confidence—was a better predictor of leadership ability in officers after three years in the field.
  • Because there really is no such thing as multitasking—just a rapid switching of attention—I began to feel overstrained, put upon, and finally irked by the impossible set of concurrent demands. Shouldn’t someone be giving me a hand here? This, Hambrick explained, meant I was hitting the limits of working memory—basically, raw processing power—which is an important aspect of “fluid intelligence” and peaks in your early 20s. This is distinct from “crystallized intelligence”—the accumulated facts and know-how on your hard drive—which peaks in your 50
  • Others noticed the change but continued to devote equal attention to all four tasks. Their scores fell. This group, Hambrick found, was high in “conscientiousness”—a trait that’s normally an overwhelming predictor of positive job performance. We like conscientious people because they can be trusted to show up early, double-check the math, fill the gap in the presentation, and return your car gassed up even though the tank was nowhere near empty to begin with. What struck Hambrick as counterintuitive and interesting was that conscientiousness here seemed to correlate with poor performance.
  • he discovered another correlation in his test: The people who did best tended to score high on “openness to new experience”—a personality trait that is normally not a major job-performance predictor and that, in certain contexts, roughly translates to “distractibility.”
  • To borrow the management expert Peter Drucker’s formulation, people with this trait are less focused on doing things right, and more likely to wonder whether they’re doing the right things.
  • High in fluid intelligence, low in experience, not terribly conscientious, open to potential distraction—this is not the classic profile of a winning job candidate. But what if it is the profile of the winning job candidate of the future?
  • One concerns “grit”—a mind-set, much vaunted these days in educational and professional circles, that allows people to commit tenaciously to doing one thing well
  • These ideas are inherently appealing; they suggest that dedication can be more important than raw talent, that the dogged and conscientious will be rewarded in the end.
  • he studied West Point students and graduates.
  • Traditional measures such as SAT scores and high-school class rank “predicted leader performance in the stable, highly regulated environment of West Point” itself.
  • It would be supremely ironic if the advance of the knowledge economy had the effect of devaluing knowledge. But that’s what I heard, recurrentl
  • “Fluid, learning-intensive environments are going to require different traits than classical business environments,” I was told by Frida Polli, a co-founder of an AI-powered hiring platform called Pymetrics. “And they’re going to be things like ability to learn quickly from mistakes, use of trial and error, and comfort with ambiguity.”
  • “We’re starting to see a big shift,” says Guy Halfteck, a people-analytics expert. “Employers are looking less at what you know and more and more at your hidden potential” to learn new things
  • advice to employers? Stop hiring people based on their work experience. Because in these environments, expertise can become an obstacle.
  • “The Curse of Expertise.” The more we invest in building and embellishing a system of knowledge, they found, the more averse we become to unbuilding it.
  • All too often experts, like the mechanic in LePine’s garage, fail to inspect their knowledge structure for signs of decay. “It just didn’t occur to him,” LePine said, “that he was repeating the same mistake over and over.
  • The devaluation of expertise opens up ample room for different sorts of mistakes—and sometimes creates a kind of helplessness.
  • Aboard littoral combat ships, the crew lacks the expertise to carry out some important tasks, and instead has to rely on civilian help
  • Meanwhile, the modular “plug and fight” configuration was not panning out as hoped. Converting a ship from sub-hunter to minesweeper or minesweeper to surface combatant, it turned out, was a logistical nightmare
  • So in 2016 the concept of interchangeability was scuttled for a “one ship, one mission” approach, in which the extra 20-plus sailors became permanent crew members
  • “As equipment breaks, [sailors] are required to fix it without any training,” a Defense Department Test and Evaluation employee told Congress. “Those are not my words. Those are the words of the sailors who were doing the best they could to try to accomplish the missions we gave them in testing.”
  • These results were, perhaps, predictable given the Navy’s initial, full-throttle approach to minimal manning—and are an object lesson on the dangers of embracing any radical concept without thinking hard enough about the downsides
  • a world in which mental agility and raw cognitive speed eclipse hard-won expertise is a world of greater exclusion: of older workers, slower learners, and the less socially adept.
  • if you keep going down this road, you end up with one really expensive ship with just a few people on it who are geniuses … That’s not a future we want to see, because you need a large enough crew to conduct multiple tasks in combat.
  • hat does all this mean for those of us in the workforce, and those of us planning to enter it? It would be wrong to say that the 10,000-hours-of-deliberate-practice idea doesn’t hold up at all. In some situations, it clearly does
  • A spinal surgery will not be performed by a brilliant dermatologist. A criminal-defense team will not be headed by a tax attorney. And in tech, the demand for specialized skills will continue to reward expertise handsomely.
  • But in many fields, the path to success isn’t so clear. The rules keep changing, which means that highly focused practice has a much lower return
  • In uncertain environments, Hambrick told me, “specialization is no longer the coin of the realm.”
  • It leaves us with lifelong learning,
  • I found myself the target of career suggestions. “You need to be a video guy, an audio guy!” the Silicon Valley talent adviser John Sullivan told me, alluding to the demise of print media
  • I found the prospect of starting over just plain exhausting. Building a professional identity takes a lot of resources—money, time, energy. After it’s built, we expect to reap gains from our investment, and—let’s be honest—even do a bit of coasting. Are we equipped to continually return to apprentice mode? Will this burn us out?
  • Everybody I met on the Giffords seemed to share that mentality. They regarded every minute on board—even during a routine transit back to port in San Diego Harbor—as a chance to learn something new.
Javier E

The Science of Snobbery: How We're Duped Into Thinking Fancy Things Are Better - The At... - 0 views

  • Expert judges and amateurs alike claim to judge classical musicians based on sound. But Tsay’s research suggests that the original judges, despite their experience and expertise, judged the competition (which they heard and watched live) based on visual information, just as amateurs do.
  • just like with classical music, we do not appraise wine in the way that we expect. 
  • Priceonomics revisited this seemingly damning research: the lack of correlation between wine enjoyment and price in blind tastings, the oenology students tricked by red food dye into describing a white wine like a red, a distribution of medals at tastings equivalent to what one would expect from pure chance, the grand crus described like cheap wines and vice-versa when the bottles are switched.
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  • Taste does not simply equal your taste buds. It draws on information from all our senses as well as context. As a result, food is susceptible to the same trickery as wine. Adding yellow food dye to vanilla pudding leads people to experience a lemony taste. Diners eating in the dark at a chic concept restaurant confuse veal for tuna. Branding, packaging, and price tags are equally important to enjoyment. Cheap fish is routinely passed off as its pricier cousins at seafood and sushi restaurants. 
  • Just like with wine and classical music, we often judge food based on very different criteria than what we claim. The result is that our perceptions are easily skewed in ways we don’t anticipate. 
  • What does it mean for wine that presentation so easily trumps the quality imbued by being grown on premium Napa land or years of fruitful aging? Is it comforting that the same phenomenon is found in food and classical music, or is it a strike against the authenticity of our enjoyment of them as well? How common must these manipulations be until we concede that the influence of the price tag of a bottle of wine or the visual appearance of a pianist is not a trick but actually part of the quality?
  • To answer these questions, we need to investigate the underlying mechanism that leads us to judge wine, food, and music by criteria other than what we claim to value. And that mechanism seems to be the quick, intuitive judgments our minds unconsciously make
  • this unknowability also makes it easy to be led astray when our intuition makes a mistake. We may often be able to count on the price tag or packaging of food and wine for accurate information about quality. But as we believe that we’re judging based on just the product, we fail to recognize when presentation manipulates our snap judgments.
  • Participants were just as effective when watching 6 second video clips and when comparing their ratings to ratings of teacher effectiveness as measured by actual student test performance. 
  • The power of intuitive first impressions has been demonstrated in a variety of other contexts. One experiment found that people predicted the outcome of political elections remarkably well based on silent 10 second video clips of debates - significantly outperforming political pundits and predictions made based on economic indicators.
  • In a real world case, a number of art experts successfully identified a 6th century Greek statue as a fraud. Although the statue had survived a 14 month investigation by a respected museum that included the probings of a geologist, they instantly recognized something was off. They just couldn’t explain how they knew.
  • Cases like this represent the canon behind the idea of the “adaptive unconscious,” a concept made famous by journalist Malcolm Gladwell in his book Blink. The basic idea is that we constantly, quickly, and unconsciously do the equivalent of judging a book by its cover. After all, a cover provides a lot of relevant information in a world in which we don’t have time to read every page.
  • Gladwell describes the adaptive unconscious as “a kind of giant computer that quickly and quietly processes a lot of the data we need in order to keep functioning as human beings.”
  • In a famous experiment, psychologist Nalini Ambady provided participants in an academic study with 30 second silent video clips of a college professor teaching a class and asked them to rate the effectiveness of the professor.
  • In follow up experiments, Chia-Jung Tsay found that those judging musicians’ auditions based on visual cues were not giving preference to attractive performers. Rather, they seemed to look for visual signs of relevant characteristics like passion, creativity, and uniqueness. Seeing signs of passion is valuable information. But in differentiating between elite performers, it gives an edge to someone who looks passionate over someone whose play is passionate
  • Outside of these more eccentric examples, it’s our reliance on quick judgments, and ignorance of their workings, that cause people to act on ugly, unconscious biases
  • It’s also why - from a business perspective - packaging and presentation is just as important as the good or service on offer. Why marketing is just as important as product. 
  • Gladwell ends Blink optimistically. By paying closer attention to our powers of rapid cognition, he argues, we can avoid its pitfalls and harness its powers. We can blindly audition musicians behind a screen, look at a piece of art devoid of other context, and pay particular attention to possible unconscious bias in our performance reports.
  • But Gladwell’s success in demonstrating how the many calculations our adaptive unconscious performs without our awareness undermines his hopeful message of consciously harnessing its power.
  • As a former world-class tennis player and coach of over 50 years, Braden is a perfect example of the ideas behind thin slicing. But if he can’t figure out what his unconscious is up to when he recognizes double faults, why should anyone else expect to be up to the task?
  • flawed judgment in fields like medicine and investing has more serious consequences. The fact that expertise is so tricky leads psychologist Daniel Kahneman to assert that most experts should seek the assistance of statistics and algorithms in making decisions.
  • In his book Thinking, Fast and Slow, he describes our two modes of thought: System 1, like the adaptive unconscious, is our “fast, instinctive, and emotional” intuition. System 2 is our “slower, more deliberative, and more logical” conscious thought. Kahneman believes that we often leave decisions up to System 1 and generally place far “too much confidence in human judgment” due to the pitfalls of our intuition described above.
  • Not every judgment will be made in a field that is stable and regular enough for an algorithm to help us make judgments or predictions. But in those cases, he notes, “Hundreds of studies have shown that wherever we have sufficient information to build a model, it will perform better than most people.”
  • Experts can avoid the pitfalls of intuition more easily than laypeople. But they need help too, especially as our collective confidence in expertise leads us to overconfidence in their judgments. 
  • This article has referred to the influence of price tags and context on products and experiences like wine and classical music concerts as tricks that skew our perception. But maybe we should consider them a real, actual part of the quality.
  • Losing ourselves in a universe of relativism, however, will lead us to miss out on anything new or unique. Take the example of the song “Hey Ya!” by Outkast. When the music industry heard it, they felt sure it would be a hit. When it premiered on the radio, however, listeners changed the channel. The song sounded too dissimilar from songs people liked, so they responded negatively. 
  • It took time for people to get familiar with the song and realize that they enjoyed it. Eventually “Hey Ya!” became the hit of the summer.
  • Many boorish people talking about the ethereal qualities of great wine probably can't even identify cork taint because their impressions are dominated by the price tag and the wine label. But the classic defense of wine - that you need to study it to appreciate it - is also vindicated. The open question - which is both editorial and empiric - is what it means for the industry that constant vigilance and substantial study is needed to dependably appreciate wine for the product quality alone. But the questions is relevant to the enjoyment of many other products and experiences that we enjoy in life.
  • Maybe the most important conclusion is to not only recognize the fallibility of our judgments and impressions, but to recognize when it matters, and when it doesn’t
karenmcgregor

Mastering Network Security: Your Trusted Network Security Assignment Helper - 2 views

In the rapidly advancing world of technology, mastering network security is pivotal for academic success. Students navigating the complexities of this dynamic field often seek the expertise of a re...

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started by karenmcgregor on 04 Dec 23 no follow-up yet
Javier E

'The Death of Expertise' Explores How Ignorance Became a Virtue - The New York Times - 1 views

  • a larger wave of anti-rationalism that has been accelerating for years — manifested in the growing ascendance of emotion over reason in public debates, the blurring of lines among fact and opinion and lies, and denialism in the face of scientific findings about climate change and vaccination.
  • “Americans have reached a point where ignorance, especially of anything related to public policy, is an actual virtue,”
  • “To reject the advice of experts is to assert autonomy, a way for Americans to insulate their increasingly fragile egos from ever being told they’re wrong about anything. It is a new Declaration of Independence: No longer do we hold these truths to be self-evident, we hold all truths to be self-evident, even the ones that aren’t true. All things are knowable and every opinion on any subject is as good as any other.”
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  • iterating arguments explored in more depth in books like Al Gore’s “The Assault on Reason,” Susan Jacoby’s “The Age of American Unreason,” Robert Hughes’s “Culture of Complaint” and, of course, Richard Hofstadter’s 1963 classic, “Anti-Intellectualism in American Life.” Nichols’s source notes are one of the highlights of the volume, pointing the reader to more illuminating books and articles.
  • “resistance to intellectual authority” naturally took root in a country, dedicated to the principles of liberty and egalitarianism, and how American culture tends to fuel “romantic notions about the wisdom of the common person or the gumption of the self-educated genius.”
  • the “protective swaddling environment of the modern university infantilizes students,”
  • today’s populism has magnified disdain for elites and experts of all sorts, be they in foreign policy, economics, even science.
  • Trump won the 2016 election, Nichols writes, because “he connected with a particular kind of voter who believes that knowing about things like America’s nuclear deterrent is just so much pointy-headed claptrap.” Worse, he goes on, some of these voters “not only didn’t care that Trump is ignorant or wrong, they likely were unable to recognize his ignorance or errors,” thanks to their own lack of knowledge.
  • While the internet has allowed more people more access to more information than ever before, it has also given them the illusion of knowledge when in fact they are drowning in data and cherry-picking what they choose to read
  • it becomes easy for one to succumb to “confirmation bias” — the tendency, as Nichols puts it, “to look for information that only confirms what we believe, to accept facts that only strengthen our preferred explanations, and to dismiss data that challenge what we accept as truth.”
  • When confronted with hard evidence that they are wrong, many will simply double down on their original assertions. “This is the ‘backfire effect,’” Nichols writes, “in which people redouble their efforts to keep their own internal narrative consistent, no matter how clear the indications that they’re wrong.” As a result, extreme views are amplified online, just as fake news and propaganda easily go viral.
  • Today, all these factors have combined to create a maelstrom of unreason that’s not just killing respect for expertise, but also undermining institutions, thwarting rational debate and spreading an epidemic of misinformation. These developments, in turn, threaten to weaken the very foundations of our democracy.
  • “Laypeople complain about the rule of experts and they demand greater involvement in complicated national questions, but many of them only express their anger and make these demands after abdicating their own important role in the process: namely, to stay informed and politically literate enough to choose representatives who can act on their behalf.”
Emily Freilich

All Can Be Lost: The Risk of Putting Our Knowledge in the Hands of Machines - Nicholas ... - 0 views

  • We rely on computers to fly our planes, find our cancers, design our buildings, audit our businesses. That's all well and good. But what happens when the computer fails?
  • On the evening of February 12, 2009, a Continental Connection commuter flight made its way through blustery weather between Newark, New Jersey, and Buffalo, New York.
  • The Q400 was well into its approach to the Buffalo airport, its landing gear down, its wing flaps out, when the pilot’s control yoke began to shudder noisily, a signal that the plane was losing lift and risked going into an aerodynamic stall. The autopilot disconnected, and the captain took over the controls. He reacted quickly, but he did precisely the wrong thing: he jerked back on the yoke, lifting the plane’s nose and reducing its airspeed, instead of pushing the yoke forward to gain velocity.
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  • The crash, which killed all 49 people on board as well as one person on the ground, should never have happened.
  • aptain’s response to the stall warning, the investigators reported, “should have been automatic, but his improper flight control inputs were inconsistent with his training” and instead revealed “startle and confusion.
  • Automation has become so sophisticated that on a typical passenger flight, a human pilot holds the controls for a grand total of just three minutes.
  • We humans have been handing off chores, both physical and mental, to tools since the invention of the lever, the wheel, and the counting bead.
  • And that, many aviation and automation experts have concluded, is a problem. Overuse of automation erodes pilots’ expertise and dulls their reflexes,
  • No one doubts that autopilot has contributed to improvements in flight safety over the years. It reduces pilot fatigue and provides advance warnings of problems, and it can keep a plane airborne should the crew become disabled. But the steady overall decline in plane crashes masks the recent arrival of “a spectacularly new type of accident,”
  • “We’re forgetting how to fly.”
  • The experience of airlines should give us pause. It reveals that automation, for all its benefits, can take a toll on the performance and talents of those who rely on it. The implications go well beyond safety. Because automation alters how we act, how we learn, and what we know, it has an ethical dimension. The choices we make, or fail to make, about which tasks we hand off to machines shape our lives and the place we make for ourselves in the world.
  • What pilots spend a lot of time doing is monitoring screens and keying in data. They’ve become, it’s not much of an exaggeration to say, computer operators.
  • Examples of complacency and bias have been well documented in high-risk situations—on flight decks and battlefields, in factory control rooms—but recent studies suggest that the problems can bedevil anyone working with a computer
  • That may leave the person operating the computer to play the role of a high-tech clerk—entering data, monitoring outputs, and watching for failures. Rather than opening new frontiers of thought and action, software ends up narrowing our focus.
  • A labor-saving device doesn’t just provide a substitute for some isolated component of a job or other activity. It alters the character of the entire task, including the roles, attitudes, and skills of the people taking part.
  • when we work with computers, we often fall victim to two cognitive ailments—complacency and bias—that can undercut our performance and lead to mistakes. Automation complacency occurs when a computer lulls us into a false sense of security. Confident that the machine will work flawlessly and handle any problem that crops up, we allow our attention to drift.
  • Automation bias occurs when we place too much faith in the accuracy of the information coming through our monitors. Our trust in the software becomes so strong that we ignore or discount other information sources, including our own eyes and ears
  • Automation is different now. Computers can be programmed to perform complex activities in which a succession of tightly coordinated tasks is carried out through an evaluation of many variables. Many software programs take on intellectual work—observing and sensing, analyzing and judging, even making decisions—that until recently was considered the preserve of humans.
  • Automation turns us from actors into observers. Instead of manipulating the yoke, we watch the screen. That shift may make our lives easier, but it can also inhibit the development of expertise.
  • Since the late 1970s, psychologists have been documenting a phenomenon called the “generation effect.” It was first observed in studies of vocabulary, which revealed that people remember words much better when they actively call them to mind—when they generate them—than when they simply read them.
  • When you engage actively in a task, you set off intricate mental processes that allow you to retain more knowledge. You learn more and remember more. When you repeat the same task over a long period, your brain constructs specialized neural circuits dedicated to the activit
  • What looks like instinct is hard-won skill, skill that requires exactly the kind of struggle that modern software seeks to alleviate.
  • In many businesses, managers and other professionals have come to depend on decision-support systems to analyze information and suggest courses of action. Accountants, for example, use the systems in corporate audits. The applications speed the work, but some signs suggest that as the software becomes more capable, the accountants become less so.
  • You can put limits on the scope of automation, making sure that people working with computers perform challenging tasks rather than merely observing.
  • Experts used to assume that there were limits to the ability of programmers to automate complicated tasks, particularly those involving sensory perception, pattern recognition, and conceptual knowledge
  • Who needs humans, anyway? That question, in one rhetorical form or another, comes up frequently in discussions of automation. If computers’ abilities are expanding so quickly and if people, by comparison, seem slow, clumsy, and error-prone, why not build immaculately self-contained systems that perform flawlessly without any human oversight or intervention? Why not take the human factor out of the equation?
  • The cure for imperfect automation is total automation.
  • That idea is seductive, but no machine is infallible. Sooner or later, even the most advanced technology will break down, misfire, or, in the case of a computerized system, encounter circumstances that its designers never anticipated. As automation technologies become more complex, relying on interdependencies among algorithms, databases, sensors, and mechanical parts, the potential sources of failure multiply. They also become harder to detect.
  • conundrum of computer automation.
  • Because many system designers assume that human operators are “unreliable and inefficient,” at least when compared with a computer, they strive to give the operators as small a role as possible.
  • People end up functioning as mere monitors, passive watchers of screens. That’s a job that humans, with our notoriously wandering minds, are especially bad at
  • people have trouble maintaining their attention on a stable display of information for more than half an hour. “This means,” Bainbridge observed, “that it is humanly impossible to carry out the basic function of monitoring for unlikely abnormalities.”
  • a person’s skills “deteriorate when they are not used,” even an experienced operator will eventually begin to act like an inexperienced one if restricted to just watching.
  • You can program software to shift control back to human operators at frequent but irregular intervals; knowing that they may need to take command at any moment keeps people engaged, promoting situational awareness and learning.
  • What’s most astonishing, and unsettling, about computer automation is that it’s still in its early stages.
  • most software applications don’t foster learning and engagement. In fact, they have the opposite effect. That’s because taking the steps necessary to promote the development and maintenance of expertise almost always entails a sacrifice of speed and productivity.
  • Learning requires inefficiency. Businesses, which seek to maximize productivity and profit, would rarely accept such a trade-off. Individuals, too, almost always seek efficiency and convenience.
  • Abstract concerns about the fate of human talent can’t compete with the allure of saving time and money.
  • The small island of Igloolik, off the coast of the Melville Peninsula in the Nunavut territory of northern Canada, is a bewildering place in the winter.
  • , Inuit hunters have for some 4,000 years ventured out from their homes on the island and traveled across miles of ice and tundra to search for game. The hunters’ ability to navigate vast stretches of the barren Arctic terrain, where landmarks are few, snow formations are in constant flux, and trails disappear overnight, has amazed explorers and scientists for centuries. The Inuit’s extraordinary way-finding skills are born not of technological prowess—they long eschewed maps and compasses—but of a profound understanding of winds, snowdrift patterns, animal behavior, stars, and tides.
  • The Igloolik hunters have begun to rely on computer-generated maps to get around. Adoption of GPS technology has been particularly strong among younger Inuit, and it’s not hard to understand why.
  • But as GPS devices have proliferated on Igloolik, reports of serious accidents during hunts have spread. A hunter who hasn’t developed way-finding skills can easily become lost, particularly if his GPS receiver fails.
  • The routes so meticulously plotted on satellite maps can also give hunters tunnel vision, leading them onto thin ice or into other hazards a skilled navigator would avoid.
  • An Inuit on a GPS-equipped snowmobile is not so different from a suburban commuter in a GPS-equipped SUV: as he devotes his attention to the instructions coming from the computer, he loses sight of his surroundings. He travels “blindfolded,” as Aporta puts it
  • A unique talent that has distinguished a people for centuries may evaporate in a generation.
  • Computer automation severs the ends from the means. It makes getting what we want easier, but it distances us from the work of knowing. As we transform ourselves into creatures of the screen, we face an existential question: Does our essence still lie in what we know, or are we now content to be defined by what we want?
  •  
    Automation increases efficiency and speed of tasks, but decreases the individual's knowledge of a task and decrease's a human's ability to learn. 
karenmcgregor

Interview with a Packet Tracer Assignment Writing Help Expert - 0 views

Welcome, everyone! Today, we have the privilege of gaining insights from an expert in the field of Packet Tracer assignments. Our distinguished guest from https://www.computernetworkassignmenthelp....

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started by karenmcgregor on 29 Dec 23 no follow-up yet
karenmcgregor

Is ComputerNetworkAssignmentHelp.com a Legitimate Source for Network Security Assignmen... - 0 views

In the dynamic landscape of academic support services, finding a trustworthy platform for network security assignment writing help is crucial. Today, we'll delve into the legitimacy of https://www....

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started by karenmcgregor on 08 Jan 24 no follow-up yet
Javier E

What's Wrong With the Teenage Mind? - WSJ.com - 1 views

  • What happens when children reach puberty earlier and adulthood later? The answer is: a good deal of teenage weirdness. Fortunately, developmental psychologists and neuroscientists are starting to explain the foundations of that weirdness.
  • The crucial new idea is that there are two different neural and psychological systems that interact to turn children into adults. Over the past two centuries, and even more over the past generation, the developmental timing of these two systems has changed. That, in turn, has profoundly changed adolescence and produced new kinds of adolescent woe. The big question for anyone who deals with young people today is how we can go about bringing these cogs of the teenage mind into sync once again
  • The first of these systems has to do with emotion and motivation. It is very closely linked to the biological and chemical changes of puberty and involves the areas of the brain that respond to rewards. This is the system that turns placid 10-year-olds into restless, exuberant, emotionally intense teenagers, desperate to attain every goal, fulfill every desire and experience every sensation. Later, it turns them back into relatively placid adults.
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  • adolescents aren't reckless because they underestimate risks, but because they overestimate rewards—or, rather, find rewards more rewarding than adults do. The reward centers of the adolescent brain are much more active than those of either children or adults.
  • What teenagers want most of all are social rewards, especially the respect of their peers
  • Becoming an adult means leaving the world of your parents and starting to make your way toward the future that you will share with your peers. Puberty not only turns on the motivational and emotional system with new force, it also turns it away from the family and toward the world of equals.
  • The second crucial system in our brains has to do with control; it channels and harnesses all that seething energy. In particular, the prefrontal cortex reaches out to guide other parts of the brain, including the parts that govern motivation and emotion. This is the system that inhibits impulses and guides decision-making, that encourages long-term planning and delays gratification.
  • Today's adolescents develop an accelerator a long time before they can steer and brake.
  • Expertise comes with experience.
  • In gatherer-hunter and farming societies, childhood education involves formal and informal apprenticeship. Children have lots of chances to practice the skills that they need to accomplish their goals as adults, and so to become expert planners and actors.
  • In the past, to become a good gatherer or hunter, cook or caregiver, you would actually practice gathering, hunting, cooking and taking care of children all through middle childhood and early adolescence—tuning up just the prefrontal wiring you'd need as an adult. But you'd do all that under expert adult supervision and in the protected world of childhood
  • In contemporary life, the relationship between these two systems has changed dramatically. Puberty arrives earlier, and the motivational system kicks in earlier too. At the same time, contemporary children have very little experience with the kinds of tasks that they'll have to perform as grown-ups.
  • The experience of trying to achieve a real goal in real time in the real world is increasingly delayed, and the growth of the control system depends on just those experiences.
  • This control system depends much more on learning. It becomes increasingly effective throughout childhood and continues to develop during adolescence and adulthood, as we gain more experience.
  • An ever longer protected period of immaturity and dependence—a childhood that extends through college—means that young humans can learn more than ever before. There is strong evidence that IQ has increased dramatically as more children spend more time in school
  • children know more about more different subjects than they ever did in the days of apprenticeships.
  • Wide-ranging, flexible and broad learning, the kind we encourage in high-school and college, may actually be in tension with the ability to develop finely-honed, controlled, focused expertise in a particular skill, the kind of learning that once routinely took place in human societies.
  • this new explanation based on developmental timing elegantly accounts for the paradoxes of our particular crop of adolescents.
  • First, experience shapes the brain.
  • the brain is so powerful precisely because it is so sensitive to experience. It's as true to say that our experience of controlling our impulses make the prefrontal cortex develop as it is to say that prefrontal development makes us better at controlling our impulses
  • Second, development plays a crucial role in explaining human nature
  • there is more and more evidence that genes are just the first step in complex developmental sequences, cascades of interactions between organism and environment, and that those developmental processes shape the adult brain. Even small changes in developmental timing can lead to big changes in who we become.
  • Brain research is often taken to mean that adolescents are really just defective adults—grown-ups with a missing part.
  • But the new view of the adolescent brain isn't that the prefrontal lobes just fail to show up; it's that they aren't properly instructed and exercised
  • Instead of simply giving adolescents more and more school experiences—those extra hours of after-school classes and homework—we could try to arrange more opportunities for apprenticeship
  • Summer enrichment activities like camp and travel, now so common for children whose parents have means, might be usefully alternated with summer jobs, with real responsibilities.
  •  
    The two brain systems, the increasing gap between them, and the implications for adolescent education.
Javier E

Teachers - Will We Ever Learn? - NYTimes.com - 0 views

  • America’s overall performance in K-12 education remains stubbornly mediocre.
  • The debate over school reform has become a false polarization
  • teaching is a complex activity that is hard to direct and improve from afar. The factory model is appropriate to simple work that is easy to standardize; it is ill suited to disciplines like teaching that require considerable skill and discretion.
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  • In the nations that lead the international rankings — Singapore, Japan, South Korea, Finland, Canada — teachers are drawn from the top third of college graduates, rather than the bottom 60 percent as is the case in the United States. Training in these countries is more rigorous, more tied to classroom practice and more often financed by the government than in America. There are also many fewer teacher-training institutions, with much higher standards.
  • By these criteria, American education is a failed profession. There is no widely agreed-upon knowledge base, training is brief or nonexistent, the criteria for passing licensing exams are much lower than in other fields, and there is little continuous professional guidance. It is not surprising, then, that researchers find wide variation in teaching skills across classrooms; in the absence of a system devoted to developing consistent expertise, we have teachers essentially winging it as they go along, with predictably uneven results.
  • Teaching requires a professional model, like we have in medicine, law, engineering, accounting, architecture and many other fields. In these professions, consistency of quality is created less by holding individual practitioners accountable and more by building a body of knowledge, carefully training people in that knowledge, requiring them to show expertise before they become licensed, and then using their professions’ standards to guide their work.
  • Teachers in leading nations’ schools also teach much less than ours do. High school teachers provide 1,080 hours per year of instruction in America, compared with fewer than 600 in South Korea and Japan, where the balance of teachers’ time is spent collaboratively on developing and refining lesson plans
  • These countries also have much stronger welfare states; by providing more support for students’ social, psychological and physical needs, they make it easier for teachers to focus on their academic needs.
  • hese elements create a virtuous cycle: strong academic performance leads to schools with greater autonomy and more public financing, which in turn makes education an attractive profession for talented people.
  • In America, both major teachers’ unions and the organization representing state education officials have, in the past year, called for raising the bar for entering teachers; one of the unions, the American Federation of Teachers, advocates a “bar exam.”
  • Ideally the exam should not be a one-time paper-and-pencil test, like legal bar exams, but a phased set of milestones to be attained over the first few years of teaching. Akin to medical boards, they would require prospective teachers to demonstrate subject and pedagogical knowledge — as well as actual teaching skill.
  • We let doctors operate, pilots fly, and engineers build because their fields have developed effective ways of certifying that they can do these things. Teaching, on the whole, lacks this specialized knowledge base; teachers teach based mostly on what they have picked up from experience and from their colleagues.
  • other fields spend 5 percent to 15 percent of their budgets on research and development, while in education, it is around 0.25 percent
  • Education-school researchers publish for fellow academics; teachers develop practical knowledge but do not evaluate or share it; commercial curriculum designers make what districts and states will buy, with little regard for quality.
  • Early- to mid-career teachers need time to collaborate and explore new directions — having mastered the basics, this is the stage when they can refine their skills. The system should reward master teachers with salaries commensurate with leading professionals in other fields.
  • research suggests that the labels don’t matter — there are good and bad programs of all types, including university-based ones. The best programs draw people who majored as undergraduates in the subjects they wanted to teach; focus on extensive clinical practice rather than on classroom theory; are selective in choosing their applicants rather than treating students as a revenue stream; and use data about how their students fare as teachers to assess and revise their practice.
Javier E

In a Data-Heavy Society, Being Defined by the Numbers - NYTimes.com - 0 views

  • Numbers and rankings are everywhere.
  • “Numbers make intangibles tangible,” said Jonah Lehrer, a journalist and author of “How We Decide,” (Houghton Mifflin Harcourt, 2009). “They give the illusion of control.”
  • “We want to quantify everything,” he went on, “to ground a decision in fact, instead of asking whether that variable matters.”
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  • Numbers become not just part of the way we judge and assess, but the only way.
  • when students are researching a paper, how do they decide where to turn for the greatest expertise? Often, he said, by looking at what articles or papers online have the most hits.
  • “Just because we have the skills and ability to put metrics on everything doesn’t mean we should. People are ever-changing, fascinating and incredibly frustrating.”
  • “For almost anybody in the United States under the age of 25, the only models are quantifiable rankings,”
  • black-and-white statistics, while arguably irrefutable in one way, really tell us almost nothing. Amazon’s rankings of book sales, for instance — which anyone can view — can vary wildly based on the sale of very few books.
  • “Should it be that whatever has the most hits or the most editors makes it better than someone who spent his life studying Kant?”
  • The obsession with numbers, he said, means we don’t trust or even look for the intangibles that can’t be measured, like wisdom, judgment and expertise.
  • “What I’m most troubled by is the desire of individuals (especially myself) to constantly check up on these numbers, and to accept these measurements as a measure of something meaningful.”
  • “I have to stop worrying about numbers. I have to reclaim the ambiguous part of my own intelligence.”
clairemann

Wealthy, Male and American Students More Likely to BS | Time - 0 views

  • Students who are wealthier and male are more likely than others to claim that they know more than they actually do, says a new study.
  • The study, which reviewed surveys of 40,000 15-year-old students from across nine English-speaking countries, found that boys and people from wealthier families are more likely to be “bullshitters,” which it defines as “individuals who claim knowledge or expertise in an area where they actually have little experience at all.”
  • “You’re claiming expertise in things you have absolutely no knowledge of,” says Shure. “You couldn’t. These things don’t exist.”
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  • The countries where students were guilty of the most BS? The U.S. and Canada. Students in the two counties had scores that were .25 and .3 above average on the study’s “bullshit scale.” However, the two counties also had the narrowest gap between boys and girls, with a gap of .25 and .34 between the genders. In England and Ireland, the gap was much wider – .48 and .46 points.
  • Shure says that she is interested in determining whether a person’s ability to BS has a major impact on economic inequality between men and women, and how the ability plays out across socioeconomic lines.
  • “You can imagine that the people that score high on this bullshit index are good at certain things that might be rewarded,” says Shure. “It might be an interview to get into college. It could be an interview for a job, or an internship. It could be those skills end up helping exacerbate the gap that we observe between people from rich backgrounds and poor backgrounds, and even men and women.”
  • However, Shure says that it’s conceivable that “bullshitters” may have an advantage when it comes to getting ahead: “They clearly have very high opinions of themselves. And that could be associated with becoming leaders in the future.”
marleen_ueberall

Humans Are the World's Best Pattern-Recognition Machines, But for How Long? - Big Think - 0 views

  • Not only are machines rapidly catching up to — and exceeding — humans in terms of raw computing power, they are also starting to do things that we used to consider inherently human
  • Quite simply, humans are amazing pattern-recognition machines. They have the ability to recognize many different types of patterns - and then transform these "recursive probabalistic fractals" into concrete, actionable steps.
  • Intelligence, then, is really just a matter of being able to store more patterns than anyone else
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  • Artificial intelligence pioneer Ray Kurzweil was among the first to recognize how the link between pattern recognition and human intelligence could be used to build the next generation of artificially intelligent machines.
  • where human "expertise" has always trumped machine "expertise."
  • It turns out patterns matter, and they matter a lot.
  • The more you think about it, the more you can see patterns all around you. Getting to work on time in the morning is the result of recognizing patterns in your daily commute
  • it's really just a matter of recognizing the right patterns faster than anyone else, and machines just have so much processing power these days it's easy to see them becoming the future doctors and lawyers of the world.
  • The future of intelligence is in making our patterns better, our heuristics stronger.
  • One thing is clear – being able to recognize patterns is what gave humans their evolutionary edge over animals.
  • How we refine, shape and improve our pattern recognition is the key to how much longer we'll have the evolutionary edge over machines.
blythewallick

How to Give People Advice They'll Be Delighted to Take - The New York Times - 0 views

  • “Expertise is a tricky thing,” said Leigh Tost, an associate professor of management and organization at the University of Southern California Marshall School of Business. “To take advice from someone is to agree to be influenced by them.” Sometimes when people don’t take advice, they’re rejecting the idea of being controlled by the advice-giver more than anything.
  • Researchers identified three factors that determine whether input will be taken to heart. People will go along with advice if it was costly to attain and the task is difficult (think: lawyers interpreting a contract). Advice is also more likely to be taken if the person offering counsel is more experienced and expresses extreme confidence in the quality of the advice (doctors recommending a treatment, for example). Emotion plays a role, too: Decision makers are more likely to disregard advice if they feel certain about what they’re going to do (staying with a dud boyfriend no matter what) or they’re angry (sending an ill-advised text while fuming).
  • Make sure you’re actually being asked to give counsel. It’s easy to confuse being audience to a venting session with being asked to weigh in. Sometimes people just want to feel heard.
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  • “It’s almost like people will say to you, ‘I want a strategy,’ and what they really mean is, ‘I want someone to understand,’” said Heather Havrilesky, an advice columnist and author of “What if This Were Enough?”
  • Be clear on the advice-seeker’s goals. When people approach Austin Kleon, author of “Steal Like an Artist,” for advice, he drills down and identifies the exact problem: “What do you want to know specifically that I can help you with?” This way, he won’t overwhelm the person with irrelevant information.
  • Consider your qualifications. People often go to those close to them for advice, even if family members and friends aren’t always in the best position to effectively assist, Dr. Tost said. Ask yourself: “Do I have the expertise, experience or knowledge needed to provide helpful advice in this situation?” If you do, fantastic! Advise away. If you don’t, rather than give potentially unhelpful advice, identify someone who is in a better position to help.
  • Words have power. Words can heal. A recent study found that doctors who simply offer assurance can help alleviate their patients’ symptoms. It’s essential to start the advice-giving conversation with this same reassuring tone.
  • People tend to resist when advice is preachy, Ms. Marshall said. Saying, “I’ve been there and here’s what I did,” makes people more receptive
  • Look for physical signs of relief. Examine facial cues and body language: eyes and mouth softening, shoulders lowering or letting breath out, for example. Those are good indicators your advice is resonating.
  • Identify takeaways (and give an out). It’s not realistic for people to act on every piece of advice you give. After discussing a problem and suggesting how to handle it, Ms. Marshall asks her clients what tidbit resonated with them the most.
  • “Your mileage may vary. Take what you need and leave the rest.”
  • Agree on next steps. Lastly, ask what kind of continued support is needed (if any) and what efforts should be avoided.
peterconnelly

They Did Their Own 'Research.' Now What? - The New York Times - 0 views

  • the crash of two linked cryptocurrencies caused tens of billions of dollars in value to evaporate from digital wallets around the world.
  • People who thought they knew what they were getting into had, in the space of 24 hours, lost nearly everything. Messages of desperation flooded a Reddit forum for traders of one of the currencies, a coin called Luna, prompting moderators to share phone numbers for international crisis hotlines.
  • “DYOR” is shorthand for “do your own research,”
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  • a reminder to stay informed and vigilant against groupthink.
  • A common refrain in battles about Covid-19 and vaccination, politics and conspiracy theories, parenting, drugs, food, stock trading and media, it signals not just a rejection of authority but often trust in another kind.
  • “Do your own research” is an idea central to Joe Rogan’s interview podcast, the most listened to program on Spotify, where external claims of expertise are synonymous with admissions of malice. In its current usage, DYOR is often an appeal to join in, rendered in the language of opting out.
  • “There’s this idea that the goal of science is consensus,” Professor Carrion said. “The model they brought to it was that we didn’t need consensus.” She noted that the women she surveyed often used singular rather than plural pronouns. “It was ‘she needs to do her own research,” Professor Carrion said, rather than we need to do ours. Unlike some critical health movements in the past, this was an individualist endeavor.
  • One of the enticing aspects of cryptocurrencies, which pose an alternative to traditional financial institutions, is that expertise is available to anyone who wants to claim it.
  • In crypto, the uses of DYOR are various and contradictory, earnest and ironic sometimes within the same discussion. Breathless investment pitches for new coins are punctuated with “NFA/DYOR” (not financial advice), or admonitions not to invest more than you can afford to lose, which many people are obviously ignoring; stories about getting rich are prefaced with DYOR; requests for advice about which coins to hold are answered with DYOR. It is the siren song of crypto investing.
  • In that way — the momentum of a group — crypto investing isn’t altogether distinct from how people have invested in the stock market for decades. Though here it is tinged with a rebellious, anti-authoritarian streak: We’re outsiders, in this together; we’re doing something sort of ridiculous, but also sort of cool.
  • “Now it seems like DYOR can only do so much,” the user wrote. Eventually, the user said, you end up relying on “trust.”
karenmcgregor

Solving the Puzzle: Network Design Assignment Helpers Unleashed - 0 views

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Javier E

'It Was Like A Sucker Punch' - Ta-Nehisi Coates - The Atlantic - 1 views

  • Much of the conservative media is simply far more cozy with the Republican Party than its Democratic counterparts (as exemplified by the numerous Fox hosts and contributors who moonlight as Republican fundraisers), which makes necessary detachment difficult. Having an opinion isn't an obstacle to good journalism or analysis, but no one wants to derail their own gravy train. Departing from the party line, particularly if one does so in a manner that seems favorable to Obama, would be to reveal one as an apostate, a tool of liberalism.
  • my original tweet, blaming the conservative media for misleading the readers who depend on them, doesn't capture the fullness of the problem. Conservative media lies to its audience because much of its audience wants to be lied to. 
  • The best way to understand the difference between liberal and conservative media and expertise is to think about the response, within  Obama's campaign and within liberal media, to his first debate performance. There certainly were liberals who thought he actually hadn't done that bad, and that the press had given him a raw deal. But there were others who thought he'd performed poorly. And the Obama campaign, itself, thought he'd performed poorly. My point here is there was debate, a fight, within liberal circles which didn't devolve into indictments of DINOs. There was no attempt to "unskew" reality. 
Javier E

The Importance of Doing Recent History | History News Network - 1 views

  • We argue that writing contemporary history is different from the role historians might play as public intellectuals who draw on their expertise to comment on recent events in the media. Instead, the writing of recent history shifts the boundaries of what might be considered a legitimate topic of historical study. The very definition of “history” has hinged on the sense of a break between past and present that allows for critical perspective. The historians’ traditional task has been to bring a “dead,” absent past back into the present. However, those doing recent history recognize that their subject matter is not fully past, or as Renee Romano puts it in our edited collection about recent history, it’s “not dead yet.”
  • studying the recent past presents real methodological challenges. It untethers the academic historian from the aspects of our practice that give us all, regardless of field or political bent, a sense of common enterprise: objectivity, perspective, a defined archive, and a secondary literature that is there to be argued with, corrected and leaned upon.
Javier E

When the facts don't matter, how can democracy survive? - The Washington Post - 6 views

  • a Marketplace-Edison Research Poll
  • The survey found that more than 4 in 10 Americans somewhat or completely distrust the economic data reported by the federal government
  • Among Donald Trump voters, the share is 68 percent, with nearly half saying they don’t trust government economic data “at all.”
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  • One risk of this apparently widespread suspicion is that it could become self-fulfilling. If enough people and businesses believe the economy is secretly terrible, they will behave in ways that make it terrible — by curbing their own spending and hiring, for example. 
  • This distrust of public data is partly, though not entirely, Trump’s fault.
  • At times Trump has mused that “real” unemployment is as high as 42 percent , a comically hyperbolic figure
  • Such comments are part of his broader narrative of numerical nihilism, a political strategy of discrediting any statistic or fact that could obstruct his path to the presidency.
  • as World’s Worst Surrogate Ben Carson said Friday on MSNBC, “Let’s throw the economists out, and let’s use common sense.” Presumably Carson believes that all forms of expertise, including neurosurgical, should be similarly disposed of in favor of “common sense.”
  • this anti-intellectual, ignore-the-data attitude mostly owes its growth to a careless, conspiracy-theorizing league of (mostly) conservative politicians and pundits.
  • They elevated themselves by sowing distrust in traditional institutions and sources of authority, from the media to civil servants to scientists. They presented themselves as the sole truth-tellers, system de-riggers and messianic statistics unskewers, while maintaining that everyone else was feeding the public lies.
  • The problem with elevating yourself by tearing down the existing authoritative institutions is that once you succeed, you’ve established a road map for others to tear you down, too
  • This is how a democracy crumbles: not with a bang, but with data trutherism.
Javier E

The varieties of denialism | Scientia Salon - 1 views

  • a stimulating conference at Clark University about “Manufacturing Denial,” which brought together scholars from wildly divergent disciplines — from genocide studies to political science to philosophy — to explore the idea that “denialism” may be a sufficiently coherent phenomenon underlying the willful disregard of factual evidence by ideologically motivated groups or individuals.
  • the Oxford defines a denialist as “a person who refuses to admit the truth of a concept or proposition that is supported by the majority of scientific or historical evidence,” which represents a whole different level of cognitive bias or rationalization. Think of it as bias on steroids.
  • First, as a scientist: it’s just not about the facts, indeed — as Brendan showed data in hand during his presentation — insisting on facts may have counterproductive effects, leading the denialist to double down on his belief.
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  • if I think that simply explaining the facts to the other side is going to change their mind, then I’m in for a rude awakening.
  • As a philosopher, I found to be somewhat more disturbing the idea that denialism isn’t even about critical thinking.
  • what the large variety of denialisms have in common is a very strong, overwhelming, ideological commitment that helps define the denialist identity in a core manner. This commitment can be religious, ethnical or political in nature, but in all cases it fundamentally shapes the personal identity of the people involved, thus generating a strong emotional attachment, as well as an equally strong emotional backlash against critics.
  • To begin with, of course, they think of themselves as “skeptics,” thus attempting to appropriate a word with a venerable philosophical pedigree and which is supposed to indicate a cautiously rational approach to a given problem. As David Hume put it, a wise person (i.e., a proper skeptic) will proportion her beliefs to the evidence. But there is nothing of the Humean attitude in people who are “skeptical” of evolution, climate change, vaccines, and so forth.
  • Denialists have even begun to appropriate the technical language of informal logic: when told that a majority of climate scientists agree that the planet is warming up, they are all too happy to yell “argument from authority!” When they are told that they should distrust statements coming from the oil industry and from “think tanks” in their pockets they retort “genetic fallacy!” And so on. Never mind that informal fallacies are such only against certain background information, and that it is eminently sensible and rational to trust certain authorities (at the least provisionally), as well as to be suspicious of large organizations with deep pockets and an obvious degree of self-interest.
  • What commonalities can we uncover across instances of denialism that may allow us to tackle the problem beyond facts and elementary logic?
  • the evidence from the literature is overwhelming that denialists have learned to use the vocabulary of critical thinking against their opponents.
  • Another important issue to understand is that denialists exploit the inherently tentative nature of scientific or historical findings to seek refuge for their doctrines.
  • . Scientists have been wrong before, and doubtlessly will be again in the future, many times. But the issue is rather one of where it is most rational to place your bets as a Bayesian updater: with the scientific community or with Faux News?
  • Science should be portrayed as a human story of failure and discovery, not as a body of barely comprehensible facts arrived at by epistemic priests.
  • Is there anything that can be done in this respect? I personally like the idea of teaching “science appreciation” classes in high school and college [2], as opposed to more traditional (usually rather boring, both as a student and as a teacher) science instruction
  • Denialists also exploit the media’s self imposed “balanced” approach to presenting facts, which leads to the false impression that there really are two approximately equal sides to every debate.
  • This is a rather recent phenomenon, and it is likely the result of a number of factors affecting the media industry. One, of course, is the onset of the 24-hr media cycle, with its pernicious reliance on punditry. Another is the increasing blurring of the once rather sharp line between reporting and editorializing.
  • The problem with the media is of course made far worse by the ongoing crisis in contemporary journalism, with newspapers, magazines and even television channels constantly facing an uncertain future of revenues,
  • he push back against denialism, in all its varied incarnations, is likely to be more successful if we shift the focus from persuading individual members of the public to making political and media elites accountable.
  • This is a major result coming out of Brendan’s research. He showed data set after data set demonstrating two fundamental things: first, large sections of the general public do not respond to the presentation of even highly compelling facts, indeed — as mentioned above — are actually more likely to entrench further into their positions.
  • Second, whenever one can put pressure on either politicians or the media, they do change their tune, becoming more reasonable and presenting things in a truly (as opposed to artificially) balanced way.
  • Third, and most crucially, there is plenty of evidence from political science studies that the public does quickly rally behind a unified political leadership. This, as much as it is hard to fathom now, has happened a number of times even in somewhat recent times
  • when leaders really do lead, the people follow. It’s just that of late the extreme partisan bickering in Washington has made the two major parties entirely incapable of working together on the common ground that they have demonstrably had in the past.
  • Another thing we can do about denialism: we should learn from the detailed study of successful cases and see what worked and how it can be applied to other instances
  • Yet another thing we can do: seek allies. In the case of evolution denial — for which I have the most first-hand experience — it has been increasingly obvious to me that it is utterly counterproductive for a strident atheist like Dawkins (or even a relatively good humored one like yours truly) to engage creationists directly. It is far more effective when we have clergy (Barry Lynn of Americans United for the Separation of Church and State [6] comes to mind) and religious scientists
  • Make no mistake about it: denialism in its various forms is a pernicious social phenomenon, with potentially catastrophic consequences for our society. It requires a rallying call for all serious public intellectuals, academic or not, who have the expertise and the stamina to join the fray to make this an even marginally better world for us all. It’s most definitely worth the fight.
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