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Javier E

Marie Kondo and the Ruthless War on Stuff - The New York Times - 1 views

www.nytimes.com/...the-ruthless-war-on-stuff.html

clutter simplicity organization psychology

shared by Javier E on 07 Jul 16 - No Cached
  • the method outlined in Kondo’s book. It includes something called a “once-in-a-lifetime tidying marathon,” which means piling five categories of material possessions — clothing, books, papers, miscellaneous items and sentimental items, including photos, in that order — one at a time, surveying how much of each you have, seeing that it’s way too much and then holding each item to see if it sparks joy in your body. The ones that spark joy get to stay. The ones that don’t get a heartfelt and generous goodbye, via actual verbal communication, and are then sent on their way to their next life.
  • She is often mistaken for someone who thinks you shouldn’t own anything, but that’s wrong. Rather, she thinks you can own as much or as little as you like, as long as every possession brings you true joy.
  • By the time her book arrived, America had entered a time of peak stuff, when we had accumulated a mountain of disposable goods — from Costco toilet paper to Isaac Mizrahi swimwear by Target — but hadn’t (and still haven’t) learned how to dispose of them. We were caught between an older generation that bought a princess phone in 1970 for $25 that was still working and a generation that bought $600 iPhones, knowing they would have to replace them within two years. We had the princess phone and the iPhone, and we couldn’t dispose of either. We were burdened by our stuff; we were drowning in it.
  • ...16 more annotations...
  • A woman named Diana, who wore star-and-flower earrings, said that before she tidied, her life was out of control. Her job had been recently eliminated when she found the book. “It’s a powerful message for women that you should be surrounded by things that make you happy,”
  • “I found the opposite of happiness is not sadness,” Diana told us. “It’s chaos.”
  • Another woman said she KonMaried a bad boyfriend. Having tidied everything in her home and finding she still distinctly lacked happiness, she held her boyfriend in her hands, realized he no longer sparked joy and got rid of him.
  • She realized that the work she was doing as a tidying consultant was far more psychological than it was practical. Tidying wasn’t just a function of your physical space; it was a function of your soul.
  • . She wants you to override the instinct to keep a certain thing because an HGTV show or a home-design magazine or a Pinterest page said it would brighten up your room or make your life better. She wants you to possess your possessions on your own terms, not theirs
  • she would say to him what she said to me, that yes, America is a little different from Japan, but ultimately it’s all the same. We’re all the same in that we’re enticed into the false illusion of happiness through material purchase.
  • She leaves room for something that people don’t often give her credit for: that the KonMari method might not be your speed. “I think it’s good to have different types of organizing methods,” she continued, “because my method might not spark joy with some people, but his method might.
  • Conference was different from the KonMari events that I attended. Whereas Kondo does not believe that you need to buy anything in order to organize and that storage systems provide only the illusion of tidiness, the women of Conference traded recon on timesaving apps, label makers, the best kind of Sharpie, the best tool they own (“supersticky notes,” “drawer dividers”)
  • They don’t like that you have to get rid of all of your papers, which is actually a misnomer: Kondo just says you should limit them because they’re incapable of sparking joy, and you should confine them to three folders: needs immediate attention, must be kept for now, must be kept forever.
  • each organizer I spoke with said that she had the same fundamental plan that Kondo did, that the client should purge (they cry “purge” for what Kondo gently calls “discarding”) what is no longer needed or wanted; somehow the extra step of thanking the object or folding it a little differently enrages them. This rage hides behind the notion that things are different here in America, that our lives are more complicated and our stuff is more burdensome and our decisions are harder to make.
  • Ultimately, the women of NAPO said that Kondo’s methods were too draconian and that the clients they knew couldn’t live in Kondo’s world. They had jobs and children, and they needed baby steps and hand-holding and maintenance plans. They needed someone to do for them what they couldn’t naturally do for themselves.
  • the most potent difference between Kondo and the NAPO women is that the NAPO women seek to make a client’s life good by organizing their stuff; Kondo, on the other hand, leads with her spiritual mission, to change their lives through magic.
  • She went to work in finance, but she found the work empty and meaningless. She would come home and find herself overwhelmed by her stuff. So she began searching for “minimalism” on the internet almost constantly, happening on Pinterest pages of beautiful, empty bathrooms and kitchens, and she began to imagine that it was her stuff that was weighing her down. She read philosophy blogs about materialism and the accumulation of objects. “They just all talked about feeling lighter,”
  • “I never knew how to get here from there,” she said. Ning looked around her apartment, which is spare. She loves it here now, but that seemed impossible just a couple of years ago.
  • She found Kondo’s book, and she felt better immediately, just having read it. She began tidying, and immediately she lost three pounds. She had been trying to lose weight forever, and then suddenly, without effort, three pounds, just gone.
  • when it comes to stuff, we are all the same. Once we’ve divided all the drawers and eliminated that which does not bring us joy and categorized ourselves within an inch of our lives, we’ll find that the person lying beneath all the stuff was still just plain old us. We are all a mess, even when we’re done tidying.
Javier E

How 'Concept Creep' Made Americans So Sensitive to Harm - The Atlantic - 0 views

www.theatlantic.com/...477939

concept creep psychology liberalism harmful trauma torture

shared by Javier E on 19 Apr 16 - No Cached
  • How did American culture arrive at these moments? A new research paper by Nick Haslam, a professor of psychology at the University of Melbourne, Australia, offers as useful a framework for understanding what’s going on as any I’ve seen. In “Concept Creep: Psychology's Expanding Concepts of Harm and Pathology,”
  • concepts like abuse, bullying, trauma, mental disorder, addiction, and prejudice, “now encompass a much broader range of phenomena than before,”expanded meanings that reflect “an ever-increasing sensitivity to harm.”
  • “they also have potentially damaging ramifications for society and psychology that cannot be ignored.”
  • ...20 more annotations...
  • He calls these expansions of meaning “concept creep.”
  • critics may hold concept creep responsible for damaging cultural trends, he writes, “such as supposed cultures of fear, therapy, and victimhood, the shifts I present have some positive implications.”
  • Concept creep is inevitable and vital if society is to make good use of new information. But why has the direction of concept creep, across so many different concepts, trended toward greater sensitivity to harm as opposed to lesser sensitivity?
  • The concept of abuse expanded too far.
  • Classically, psychological investigations recognized two forms of child abuse, physical and sexual, Haslam writes. In more recent decades, however, the concept of abuse has witnessed “horizontal creep” as new forms of abuse were recognized or studied. For example, “emotional abuse” was added as a new subtype of abuse. Neglect, traditionally a separate category, came to be seen as a type of abuse, too.
  • Meanwhile, the concept of abuse underwent “vertical creep.” That is, the behavior seen as qualifying for a given kind of abuse became steadily less extreme. Some now regard any spanking as physical abuse. Within psychology, “the boundary of neglect is indistinct,” Haslam writes. “As a consequence, the concept of neglect can become over-inclusive, identifying behavior as negligent that is substantially milder or more subtle than other forms of abuse. This is not to deny that some forms of neglect are profoundly damaging, merely to argue that the concept’s boundaries are sufficiently vague and elastic to encompass forms that are not severe.”
  • How did a working-class mom get arrested, lose her fast food job, and temporarily lose custody of her 9-year-old for letting the child play alone at a nearby park?
  • One concerns the field of psychology and its incentives. “It could be argued that just as successful species increase their territory, invading and adapting to new habitats, successful concepts and disciplines also expand their range into new semantic niches,” he theorizes. “Concepts that successfully attract the attention of researchers and practitioners are more likely to be applied in new ways and new contexts than those that do not.”
  • Concept creep can be necessary or needless. It can align concepts more or less closely with underlying realities. It can change society for better or worse. Yet many who push for more sensitivy to harm seem unaware of how oversensitivty can do harm.
  • The other theory posits an ideological explanation. “Psychology has played a role in the liberal agenda of sensitivity to harm and responsiveness to the harmed,” he writes “and its increased focus on negative phenomena—harms such as abuse, addiction, bullying, mental disorder, prejudice, and trauma—has been symptomatic of the success of that social agenda.”
  • Jonathan Haidt, who believes it has gone too far, offers a fourth theory. “If an increasingly left-leaning academy is staffed by people who are increasingly hostile to conservatives, then we can expect that their concepts will shift, via motivated scholarship, in ways that will help them and their allies (e.g., university administrators) to prosecute and condemn conservatives,
  • While Haslam and Haidt appear to have meaningfully different beliefs about why concept creep arose within academic psychology and spread throughout society, they were in sufficient agreement about its dangers to co-author a Guardian op-ed on the subject.
  • It focuses on how greater sensitivity to harm has affected college campuses.
  • “Of course young people need to be protected from some kinds of harm, but overprotection is harmful, too, for it causes fragility and hinders the development of resilience,” they wrote. “As Nasim Taleb pointed out in his book Antifragile, muscles need resistance to develop, bones need stress and shock to strengthen and the growing immune system needs to be exposed to pathogens in order to function. Similarly, he noted, children are by nature anti-fragile – they get stronger when they learn to recover from setbacks, failures and challenges to their cherished ideas.”
  • police officers fearing harm from dogs kill them by the hundreds or perhaps thousands every year in what the DOJ calls an epidemic.
  • After the terrorist attacks of September 11, 2001, the Bush Administration and many Americans grew increasingly sensitive to harms, real and imagined, from terrorism
  • Dick Cheney declared, “If there's a 1% chance that Pakistani scientists are helping al-Qaeda build or develop a nuclear weapon, we have to treat it as a certainty in terms of our response. It's not about our analysis ... It's about our response.” The invasion of Iraq was predicated, in part, on the idea that 9/11 “changed everything,”
  • Before 9/11, the notion of torturing prisoners was verboten. After the Bush Administration’s torture was made public, popular debate focused on mythical “ticking time bomb” scenarios, in which a whole city would be obliterated but for torture. Now Donald Trump suggests that torture should be used more generally against terrorists. Torture is, as well, an instance in which people within the field of psychology pushed concept creep in the direction of less sensitivity to harm,
  • Haslam endorses two theories
  • there are many reasons to be concerned about excessive sensitivity to harm:
kenjiendo

Impact Factor and the Future of Medical Journals - Haider Javed Warraich - The Atlantic - 0 views

www.theatlantic.com/...282763

science research knowledge medical journals future peer review issues

shared by kenjiendo on 10 Jan 14 - No Cached
    • kenjiendo
      kenjiendo on 10 Jan 14
       
      An article highlighting recent criticism for the accuracy of published Medical Journals, origins of the issue, and possible solutions for the future. 
  • Impact Factor and the Future of Medical Journals Some research publications are getting away from flawed measures of influence that make it easy to game the system.
  • This year's Nobel Prize winner in physiology, Randy Scheckman, announced his decision to boycott the three major “luxury” journals: Science, Nature, and Cell.
  • ...19 more annotations...
  • medical journals are very rigid
  • impact factor, defined as the number of citations divided by the number of papers published in the journal, which is a measure to convey the influence of journals and the research they carry.
  • Journals employ several strategies to artificially raise the impact factor
  • caught trying to induce authors to increase the number of citations
  • cite each other’s articles
  • citations are barely a reflection of the quality of the research and that the impact factor is easily manipulated
  • shing’s growth is actually one of its g
  • overwhelmed with the avalanche of information
  • current system of peer-review, which originated in the 18th century, is now stressed
    • kenjiendo
      kenjiendo on 10 Jan 14
       
      An example from our reading from U6-9
  • future of the medical journal was, he summed it up in just one word: “Digital.”
  • more innovative approache
  • PLOS One, which provides individual article metrics to anyone who accesses the article.
  • Instead of letting the reputation of the journal decide the impact of its papers, PLOS One provides information about the influence of the article on a more granular level.
  • future of medical publishing is a democratic one
  • Smart software will decide based on largely open access journals which papers will be of most interest to a particular reader.
  • Biology Direct, a journal that provides open peer review that is available for readers to read along with the article, with or without changes suggested by the reviewers.
  • Impact Factor and the Future of Medical Journals
  • Impact Factor and the Future of Medical Journals
Emily Freilich

Scientists Explain their Processes with a little too much honesty - 0 views

twentytwowords.com/...e-too-much-honesty-17-pictures

evidence science

shared by Emily Freilich on 23 Oct 13 - No Cached
  • Emily Freilich on 23 Oct 13
     
    Satirical view of how scientists work; we think scientists use through methods all the time, but can we really know they do? Follows the idea presented in the article about Kuhn's theories that scientists do not actually follow the method they lay out in research papers. Additionally, this slideshow asks how much the evidence scientists present is tested and verified.
  • Emily Freilich on 23 Oct 13
     
    Satirical view of how scientists work; we think scientists use through methods all the time, but can we really know they do? Follows the idea presented in the article about Kuhn's theories that scientists do not actually follow the method they lay out in research papers. Additionally, this slideshow asks how much the evidence scientists present is tested and verified.
Javier E

Science Confirms: Politics Wrecks Your Ability to Do Math | Mother Jones - 1 views

www.motherjones.com/...-politics-makes-you-innumerate

politics science math motivated reasoning numeracy reasoning

shared by Javier E on 07 Sep 13 - No Cached
  • According to a new psychology paper, our political passions can even undermine our very basic reasoning skills. More specifically, the study finds that people who are otherwise very good at math may totally flunk a problem that they would otherwise probably be able to solve, simply because giving the right answer goes against their political beliefs.
  • Survey respondents performed wildly differently on what was in essence the same basic problem, simply depending upon whether they had been told that it involved guns or whether they had been told that it involved a new skin cream.
  • What's more, it turns out that highly numerate liberals and conservatives were even more—not less—susceptible to letting politics skew their reasoning than were those with less mathematical ability.
  • ...7 more annotations...
  • Not surprisingly, Kahan's study found that the more numerate you are, the more likely you are to get the answer to this "skin cream" problem right. Moreover, it found no substantial difference between highly numerate Democrats and highly numerate Republicans in this regard. The better members of both political groups were at math, the better they were at solving the skin cream problem.
  • So how did people fare on the handgun version of the problem? They performed quite differently than on the skin cream version, and strong political patterns emerged in the results—especially among people who are good at mathematical reasoning. Most strikingly, highly numerate liberal Democrats did almost perfectly when the right answer was that the concealed weapons ban does indeed work to decrease crime (version C of the experiment)—an outcome that favors their pro-gun-control predilections. But they did much worse when the correct answer was that crime increases in cities that enact the ban (version D of the experiment).
  • The opposite was true for highly numerate conservative Republicans
  • these results are a fairly strong refutation of what is called the "deficit model" in the field of science and technology studies—the idea that if people just had more knowledge, or more reasoning ability, then they would be better able to come to consensus with scientists and experts on issues like climate change, evolution, the safety of vaccines, and pretty much anything else involving science or data
  • Kahan's data suggest the opposite—that political biases skew our reasoning abilities, and this problem seems to be worse for people with advanced capacities like scientific literacy and numeracy.
  • What's happening when highly numerate liberals and conservatives actually get it wrong? Either they're intuiting an incorrect answer that is politically convenient and feels right to them, leading them to inquire no further—or else they're stopping to calculate the correct answer, but then refusing to accept it and coming up with some elaborate reason why 1 + 1 doesn't equal 2 in this particular instance. (Kahan suspects it's mostly the former, rather than the latter.)
  • This new study is just one out of many in this respect, but it provides perhaps the most striking demonstration yet of just how motivated, just how biased, reasoning can be—especially about politics.
Javier E

Slavery's Long Shadow - The New York Times - 0 views

www.nytimes.com/...gman-slaverys-long-shadow.html

racism exceptionalism welfare state white supremacy white vote working class

shared by Javier E on 23 Jun 15 - No Cached
  • he racial divide is still a defining feature of our political economy, the reason America is unique among advanced nations in its harsh treatment of the less fortunate and its willingness to tolerate unnecessary suffering among its citizens.
  • let me try to be cool and careful here, and cite some of the overwhelming evidence for the continuing centrality of race in our national politics.
  • My own understanding of the role of race in U.S. exceptionalism was largely shaped by two academic papers.
  • ...10 more annotations...
  • nd this party-switching, in turn, was what drove the rightward swing of American politics after 1980. Race made Reaganism possible. And to this day Southern whites overwhelmingly vote Republican, to the tune of 85 or even 90 percent in the deep South.
  • But Mr. Bartels showed that the working-class turn against Democrats wasn’t a national phenomenon — it was entirely restricted to the South, where whites turned overwhelmingly Republican after the passage of the Civil Rights Act and Richard Nixon’s adoption of the so-called Southern strategy.
  • The first, by the political scientist Larry Bartels, analyzed the move of the white working class away from Democrats, a move made famous in Thomas Frank’s “What’s the Matter With Kansas?” Mr. Frank argued that working-class whites were being induced to vote against their own interests by the right’s exploitation of cultural issues.
  • The second paper, by the economists Alberto Alesina, Edward Glaeser, and Bruce Sacerdote, was titled “Why Doesn’t the United States Have a European-style Welfare State?”
  • Its authors — who are not, by the way, especially liberal — explored a number of hypotheses, but eventually concluded that race is central, because in America programs that help the needy are all too often seen as programs that help Those People:
  • you might wonder if things have changed since then. Unfortunately, the answer is that they haven’t, as you can see by looking at how states are implementing — or refusing to implement — Obamacare.
  • states were being offered a federally-funded program that would provide major benefits to millions of their citizens, pour billions into their economies, and help support their health-care providers. Who would turn down such an offer?
  • The answer is, 22 states at this point, although some may eventually change their minds. And what do these states have in common? Mainly, a history of slaveholding
  • it’s not just health reform: a history of slavery is a strong predictor of everything from gun control (or rather its absence), to low minimum wages and hostility to unions, to tax policy.
  • Every once in a while you hear a chorus of voices declaring that race is no longer a problem in America. That’s wishful thinking; we are still haunted by our nation’s original sin
Javier E

Experimental Philosophy: The Instability of Philosophers' Judgments about Hypothetical Moral Scenarios - 0 views

experimentalphilosophy.typepad.com/...othetical-moral-scenarios.html

philosophers moral judgment research

shared by Javier E on 29 Mar 11 - No Cached
  • Non-philosophers' judgments about hypothetical philosophical scenarios are often labile and variable. They are subject, for example, to substantial order effects, and they vary by culture and gender. Question: Are professional philosophers' judgments about such hypothetical scenarios particularly better grounded?
  • Non-philosophers, we suspected, would respond differently to the scenarios depending upon the order of presentation, a sign of instability and unreliability in judgment. Our question was: Would professional philosophers show smaller order effects and thus more stable judgments?
  • They did not. In fact, the overall trend across our data (marginally statistically significant) was for philosophers to show less stability their responses. This was true even for the subgroup of 91 respondents reporting a PhD in philosophy and a competence or specialization in ethics.
jlessner

The case against e-readers: Why reading paper books is better for your mind. - The Washington Post - 0 views

www.washingtonpost.com/...-better-for-your-mind-and-body

brain science paper books mind psychology knowledge education Technology science Research

shared by jlessner on 18 Jan 15 - No Cached
  • We know a lot about the pros and cons of reading a hard-copy book vs. reading electronically. The problem is, many of us refuse to listen.
  • Ask people what they like most about reading on digital screens (a question I’ve put to several hundred university students in the United States, Germany, Japan and Slovakia), and you hear over and again about convenience: “easy to carry” and “compact.”
  • Yet the soundness of this case is arguable. The earth metals we’re using up to build e-readers and tablets are not just rare but highly toxic. And think about all that energy needed to run servers and cooling fans. And remember, trees are a renewable resource.
  • ...3 more annotations...
  • prefer print when reading both for pleasure and for school or work.
  • But the real nail in the coffin for one-size-fits-all electronic reading is concentration. Over 92 percent of those I surveyed said they concentrate best when reading a hard copy. The explanation is hardly rocket science. When a digital device has an Internet connection, it’s hard to resist the temptation to jump ship: I’ll just respond to that text I heard come in, check the headlines, order those boots that are on sale.
  • Readers are human. If you dangle distractions in front of us (or if we know they are just a click or swipe away), it’s hard not to take the bait.
demetriar

The Science of Emotion in Marketing: How Our Brains Decide What to Share and Whom to Trust | Courtney Seiter - 0 views

www.huffingtonpost.com/...e-of-emotion-in_b_5489567.html

science emotion marketing brain science behavior technology

shared by demetriar on 08 Mar 15 - No Cached
  • A new study says we're really only capable of four "basic" emotions: happy, sad, afraid/surprised, and angry/disgusted.
  • He found that an article was more likely to become viral the more positive it was.
  • the emotions of sadness and sorrow light up many of the same regions of the brain as happiness.
  • ...8 more annotations...
  • A study published in the Journal of Consumer Research demonstrated that consumers who experienced fear while watching a film felt a greater affiliation with a present brand than those who watched films evoking other emotions, like happiness, sadness or excitement.
  • "Our results show why puppies and babies are in toilet paper commercials," Zak said. "This research suggests that advertisers use images that cause our brains to release oxytocin to build trust in a product or brand, and hence increase sales."
  • . Later, those who produced the most oxytocin were the most likely to give money to others they couldn't see.
  • The rude comments made participants dig in on their stance
  • That emotions are critical -- maybe even more than previously thought -- to marketing.
  • In an analysis of the IPA dataBANK, which contains 1,400 case studies of successful advertising campaigns, campaigns with purely emotional content performed about twice as well (31 percent versus 16 percent) as those with only rational content (and did a little better than those that mixed emotional and rational content).
  • The emotional brain processes sensory information in one fifth of the time our cognitive brain takes to assimilate the same input
  • we're not just sharing the object, but we're sharing in the emotional response it creates."
Javier E

How Economists Can Be Just as Irrational as the Rest of Us - The New York Times - 3 views

www.nytimes.com/...ational-as-the-rest-of-us.html

science psychology social science economics

shared by Javier E on 04 Sep 15 - No Cached
  • it wasn’t just that more people pulled up the paper that appeared first. Those papers also received 27 percent more citations in later research, though that result was based on a relatively small time period. Having the luck to appear first in the email meant that a given working paper had greater influence in subsequent economic research.
  • “I think it does remind us that the way in which we present information and choices is important,” said James Poterba, the president of the N.B.E.R. That has implications for things like choices in a retirement account or a health insurance package offered by a company. People don’t necessarily make decisions based on specific cost-benefit analysis but can be pointed in one direction by something as simple as the sequence of choices in a list.
  • “The choice architecture is an important and understudied dimension of economic choices,”
kushnerha

New Critique Sees Flaws in Landmark Analysis of Psychology Studies - The New York Times - 0 views

www.nytimes.com/...n-reproducibility-project.html

new york times human sciences psychology scientific method bias

shared by kushnerha on 04 Mar 16 - No Cached
  • A landmark 2015 report that cast doubt on the results of dozens of published psychology studies has exposed deep divisions in the field, serving as a reality check for many working researchers but as an affront to others who continue to insist the original research was sound.
  • On Thursday, a group of four researchers publicly challenged the report, arguing that it was statistically flawed and, as a result, wrong.The 2015 report, called the Reproducibility Project, found that less than 40 studies in a sample of 100 psychology papers in leading journals held up when retested by an independent team. The new critique by the four researchers countered that when that team’s statistical methodology was adjusted, the rate was closer to 100 percent.Neither the original analysis nor the critique found evidence of fraud or manipulation of data.
  • “That study got so much press, and the wrong conclusions were drawn from it,” said Timothy D. Wilson, a professor of psychology at the University of Virginia and an author of the new critique. “It’s a mistake to make generalizations from something that was done poorly, and this we think was done poorly.”
  • ...6 more annotations...
  • countered that the critique was highly biased: “They are making assumptions based on selectively interpreting data and ignoring data that’s antagonistic to their point of view.”
  • The challenge comes as the field of psychology is facing a generational change, with young researchers beginning to share their data and study designs before publication, to improve transparency. Still, the new critique is likely to feed an already lively debate about how best to conduct and evaluate so-called replication projects of studies. Such projects are underway in several fields, scientists on both sides of the debate said.
  • “On some level, I suppose it is appealing to think everything is fine and there is no reason to change the status quo,” said Sanjay Srivastava, a psychologist at the University of Oregon, who was not a member of either team. “But we know too much, from many other sources, to put too much credence in an analysis that supports that remarkable conclusion.”
  • One issue the critique raised was how faithfully the replication team had adhered to the original design of the 100 studies it retested. Small alterations in design can make the difference between whether a study replicates or not, scientists say.
  • Another issue that the critique raised had to do with statistical methods. When Dr. Nosek began his study, there was no agreed-upon protocol for crunching the numbers. He and his team settled on five measures
  • He said that the original replication paper and the critique use statistical approaches that are “predictably imperfect” for this kind of analysis.One way to think about the dispute, Dr. Simohnson said, is that the original paper found that the glass was about 40 percent full, and the critique argues that it could be 100 percent full. In fact, he said in an email, “State-of-the-art techniques designed to evaluate replications say it is 40 percent full, 30 percent empty, and the remaining 30 percent could be full or empty, we can’t tell till we get more data.”
Javier E

The Tech Industry's Psychological War on Kids - Member Feature Stories - Medium - 0 views

medium.com/...gical-war-on-kids-c452870464ce

psychology tech industry smartphone social media ethics manipulation children research brain science

shared by Javier E on 16 Mar 18 - No Cached
  • she cried, “They took my f***ing phone!” Attempting to engage Kelly in conversation, I asked her what she liked about her phone and social media. “They make me happy,” she replied.
  • Even though they were loving and involved parents, Kelly’s mom couldn’t help feeling that they’d failed their daughter and must have done something terribly wrong that led to her problems.
  • My practice as a child and adolescent psychologist is filled with families like Kelly’s. These parents say their kids’ extreme overuse of phones, video games, and social media is the most difficult parenting issue they face — and, in many cases, is tearing the family apart.
  • ...88 more annotations...
  • What none of these parents understand is that their children’s and teens’ destructive obsession with technology is the predictable consequence of a virtually unrecognized merger between the tech industry and psychology.
  • Dr. B.J. Fogg, is a psychologist and the father of persuasive technology, a discipline in which digital machines and apps — including smartphones, social media, and video games — are configured to alter human thoughts and behaviors. As the lab’s website boldly proclaims: “Machines designed to change humans.”
  • These parents have no idea that lurking behind their kids’ screens and phones are a multitude of psychologists, neuroscientists, and social science experts who use their knowledge of psychological vulnerabilities to devise products that capture kids’ attention for the sake of industry profit.
  • psychology — a discipline that we associate with healing — is now being used as a weapon against children.
  • This alliance pairs the consumer tech industry’s immense wealth with the most sophisticated psychological research, making it possible to develop social media, video games, and phones with drug-like power to seduce young users.
  • Likewise, social media companies use persuasive design to prey on the age-appropriate desire for preteen and teen kids, especially girls, to be socially successful. This drive is built into our DNA, since real-world relational skills have fostered human evolution.
  • Called “the millionaire maker,” Fogg has groomed former students who have used his methods to develop technologies that now consume kids’ lives. As he recently touted on his personal website, “My students often do groundbreaking projects, and they continue having impact in the real world after they leave Stanford… For example, Instagram has influenced the behavior of over 800 million people. The co-founder was a student of mine.”
  • Persuasive technology (also called persuasive design) works by deliberately creating digital environments that users feel fulfill their basic human drives — to be social or obtain goals — better than real-world alternatives.
  • Kids spend countless hours in social media and video game environments in pursuit of likes, “friends,” game points, and levels — because it’s stimulating, they believe that this makes them happy and successful, and they find it easier than doing the difficult but developmentally important activities of childhood.
  • While persuasion techniques work well on adults, they are particularly effective at influencing the still-maturing child and teen brain.
  • “Video games, better than anything else in our culture, deliver rewards to people, especially teenage boys,” says Fogg. “Teenage boys are wired to seek competency. To master our world and get better at stuff. Video games, in dishing out rewards, can convey to people that their competency is growing, you can get better at something second by second.”
  • it’s persuasive design that’s helped convince this generation of boys they are gaining “competency” by spending countless hours on game sites, when the sad reality is they are locked away in their rooms gaming, ignoring school, and not developing the real-world competencies that colleges and employers demand.
  • Persuasive technologies work because of their apparent triggering of the release of dopamine, a powerful neurotransmitter involved in reward, attention, and addiction.
  • As she says, “If you don’t get 100 ‘likes,’ you make other people share it so you get 100…. Or else you just get upset. Everyone wants to get the most ‘likes.’ It’s like a popularity contest.”
  • there are costs to Casey’s phone obsession, noting that the “girl’s phone, be it Facebook, Instagram or iMessage, is constantly pulling her away from her homework, sleep, or conversations with her family.
  • Casey says she wishes she could put her phone down. But she can’t. “I’ll wake up in the morning and go on Facebook just… because,” she says. “It’s not like I want to or I don’t. I just go on it. I’m, like, forced to. I don’t know why. I need to. Facebook takes up my whole life.”
  • B.J. Fogg may not be a household name, but Fortune Magazine calls him a “New Guru You Should Know,” and his research is driving a worldwide legion of user experience (UX) designers who utilize and expand upon his models of persuasive design.
  • “No one has perhaps been as influential on the current generation of user experience (UX) designers as Stanford researcher B.J. Fogg.”
  • the core of UX research is about using psychology to take advantage of our human vulnerabilities.
  • As Fogg is quoted in Kosner’s Forbes article, “Facebook, Twitter, Google, you name it, these companies have been using computers to influence our behavior.” However, the driving force behind behavior change isn’t computers. “The missing link isn’t the technology, it’s psychology,” says Fogg.
  • UX researchers not only follow Fogg’s design model, but also his apparent tendency to overlook the broader implications of persuasive design. They focus on the task at hand, building digital machines and apps that better demand users’ attention, compel users to return again and again, and grow businesses’ bottom line.
  • the “Fogg Behavior Model” is a well-tested method to change behavior and, in its simplified form, involves three primary factors: motivation, ability, and triggers.
  • “We can now create machines that can change what people think and what people do, and the machines can do that autonomously.”
  • Regarding ability, Fogg suggests that digital products should be made so that users don’t have to “think hard.” Hence, social networks are designed for ease of use
  • Finally, Fogg says that potential users need to be triggered to use a site. This is accomplished by a myriad of digital tricks, including the sending of incessant notifications
  • moral questions about the impact of turning persuasive techniques on children and teens are not being asked. For example, should the fear of social rejection be used to compel kids to compulsively use social media? Is it okay to lure kids away from school tasks that demand a strong mental effort so they can spend their lives on social networks or playing video games that don’t make them think much at all?
  • Describing how his formula is effective at getting people to use a social network, the psychologist says in an academic paper that a key motivator is users’ desire for “social acceptance,” although he says an even more powerful motivator is the desire “to avoid being socially rejected.”
  • the startup Dopamine Labs boasts about its use of persuasive techniques to increase profits: “Connect your app to our Persuasive AI [Artificial Intelligence] and lift your engagement and revenue up to 30% by giving your users our perfect bursts of dopamine,” and “A burst of Dopamine doesn’t just feel good: it’s proven to re-wire user behavior and habits.”
  • Ramsay Brown, the founder of Dopamine Labs, says in a KQED Science article, “We have now developed a rigorous technology of the human mind, and that is both exciting and terrifying. We have the ability to twiddle some knobs in a machine learning dashboard we build, and around the world hundreds of thousands of people are going to quietly change their behavior in ways that, unbeknownst to them, feel second-nature but are really by design.”
  • Programmers call this “brain hacking,” as it compels users to spend more time on sites even though they mistakenly believe it’s strictly due to their own conscious choices.
  • Banks of computers employ AI to “learn” which of a countless number of persuasive design elements will keep users hooked
  • A persuasion profile of a particular user’s unique vulnerabilities is developed in real time and exploited to keep users on the site and make them return again and again for longer periods of time. This drives up profits for consumer internet companies whose revenue is based on how much their products are used.
  • “The leaders of Internet companies face an interesting, if also morally questionable, imperative: either they hijack neuroscience to gain market share and make large profits, or they let competitors do that and run away with the market.”
  • Social media and video game companies believe they are compelled to use persuasive technology in the arms race for attention, profits, and survival.
  • Children’s well-being is not part of the decision calculus.
  • one breakthrough occurred in 2017 when Facebook documents were leaked to The Australian. The internal report crafted by Facebook executives showed the social network boasting to advertisers that by monitoring posts, interactions, and photos in real time, the network is able to track when teens feel “insecure,” “worthless,” “stressed,” “useless” and a “failure.”
  • The report also bragged about Facebook’s ability to micro-target ads down to “moments when young people need a confidence boost.”
  • These design techniques provide tech corporations a window into kids’ hearts and minds to measure their particular vulnerabilities, which can then be used to control their behavior as consumers. This isn’t some strange future… this is now.
  • The official tech industry line is that persuasive technologies are used to make products more engaging and enjoyable. But the revelations of industry insiders can reveal darker motives.
  • Revealing the hard science behind persuasive technology, Hopson says, “This is not to say that players are the same as rats, but that there are general rules of learning which apply equally to both.”
  • After penning the paper, Hopson was hired by Microsoft, where he helped lead the development of the Xbox Live, Microsoft’s online gaming system
  • “If game designers are going to pull a person away from every other voluntary social activity or hobby or pastime, they’re going to have to engage that person at a very deep level in every possible way they can.”
  • This is the dominant effect of persuasive design today: building video games and social media products so compelling that they pull users away from the real world to spend their lives in for-profit domains.
  • Persuasive technologies are reshaping childhood, luring kids away from family and schoolwork to spend more and more of their lives sitting before screens and phones.
  • “Since we’ve figured to some extent how these pieces of the brain that handle addiction are working, people have figured out how to juice them further and how to bake that information into apps.”
  • Today, persuasive design is likely distracting adults from driving safely, productive work, and engaging with their own children — all matters which need urgent attention
  • Still, because the child and adolescent brain is more easily controlled than the adult mind, the use of persuasive design is having a much more hurtful impact on kids.
  • But to engage in a pursuit at the expense of important real-world activities is a core element of addiction.
  • younger U.S. children now spend 5 ½ hours each day with entertainment technologies, including video games, social media, and online videos.
  • Even more, the average teen now spends an incredible 8 hours each day playing with screens and phones
  • U.S. kids only spend 16 minutes each day using the computer at home for school.
  • Quietly, using screens and phones for entertainment has become the dominant activity of childhood.
  • Younger kids spend more time engaging with entertainment screens than they do in school
  • teens spend even more time playing with screens and phones than they do sleeping
  • kids are so taken with their phones and other devices that they have turned their backs to the world around them.
  • many children are missing out on real-life engagement with family and school — the two cornerstones of childhood that lead them to grow up happy and successful
  • persuasive technologies are pulling kids into often toxic digital environments
  • A too frequent experience for many is being cyberbullied, which increases their risk of skipping school and considering suicide.
  • And there is growing recognition of the negative impact of FOMO, or the fear of missing out, as kids spend their social media lives watching a parade of peers who look to be having a great time without them, feeding their feelings of loneliness and being less than.
  • The combined effects of the displacement of vital childhood activities and exposure to unhealthy online environments is wrecking a generation.
  • as the typical age when kids get their first smartphone has fallen to 10, it’s no surprise to see serious psychiatric problems — once the domain of teens — now enveloping young kids
  • Self-inflicted injuries, such as cutting, that are serious enough to require treatment in an emergency room, have increased dramatically in 10- to 14-year-old girls, up 19% per year since 2009.
  • While girls are pulled onto smartphones and social media, boys are more likely to be seduced into the world of video gaming, often at the expense of a focus on school
  • it’s no surprise to see this generation of boys struggling to make it to college: a full 57% of college admissions are granted to young women compared with only 43% to young men.
  • Economists working with the National Bureau of Economic Research recently demonstrated how many young U.S. men are choosing to play video games rather than join the workforce.
  • The destructive forces of psychology deployed by the tech industry are making a greater impact on kids than the positive uses of psychology by mental health providers and child advocates. Put plainly, the science of psychology is hurting kids more than helping them.
  • Hope for this wired generation has seemed dim until recently, when a surprising group has come forward to criticize the tech industry’s use of psychological manipulation: tech executives
  • Tristan Harris, formerly a design ethicist at Google, has led the way by unmasking the industry’s use of persuasive design. Interviewed in The Economist’s 1843 magazine, he says, “The job of these companies is to hook people, and they do that by hijacking our psychological vulnerabilities.”
  • Marc Benioff, CEO of the cloud computing company Salesforce, is one of the voices calling for the regulation of social media companies because of their potential to addict children. He says that just as the cigarette industry has been regulated, so too should social media companies. “I think that, for sure, technology has addictive qualities that we have to address, and that product designers are working to make those products more addictive, and we need to rein that back as much as possible,”
  • “If there’s an unfair advantage or things that are out there that are not understood by parents, then the government’s got to come forward and illuminate that.”
  • Since millions of parents, for example the parents of my patient Kelly, have absolutely no idea that devices are used to hijack their children’s minds and lives, regulation of such practices is the right thing to do.
  • Another improbable group to speak out on behalf of children is tech investors.
  • How has the consumer tech industry responded to these calls for change? By going even lower.
  • Facebook recently launched Messenger Kids, a social media app that will reach kids as young as five years old. Suggestive that harmful persuasive design is now honing in on very young children is the declaration of Messenger Kids Art Director, Shiu Pei Luu, “We want to help foster communication [on Facebook] and make that the most exciting thing you want to be doing.”
  • the American Psychological Association (APA) — which is tasked with protecting children and families from harmful psychological practices — has been essentially silent on the matter
  • APA Ethical Standards require the profession to make efforts to correct the “misuse” of the work of psychologists, which would include the application of B.J. Fogg’s persuasive technologies to influence children against their best interests
  • Manipulating children for profit without their own or parents’ consent, and driving kids to spend more time on devices that contribute to emotional and academic problems is the embodiment of unethical psychological practice.
  • “Never before in history have basically 50 mostly men, mostly 20–35, mostly white engineer designer types within 50 miles of where we are right now [Silicon Valley], had control of what a billion people think and do.”
  • Some may argue that it’s the parents’ responsibility to protect their children from tech industry deception. However, parents have no idea of the powerful forces aligned against them, nor do they know how technologies are developed with drug-like effects to capture kids’ minds
  • Others will claim that nothing should be done because the intention behind persuasive design is to build better products, not manipulate kids
  • similar circumstances exist in the cigarette industry, as tobacco companies have as their intention profiting from the sale of their product, not hurting children. Nonetheless, because cigarettes and persuasive design predictably harm children, actions should be taken to protect kids from their effects.
  • in a 1998 academic paper, Fogg describes what should happen if things go wrong, saying, if persuasive technologies are “deemed harmful or questionable in some regard, a researcher should then either take social action or advocate that others do so.”
  • I suggest turning to President John F. Kennedy’s prescient guidance: He said that technology “has no conscience of its own. Whether it will become a force for good or ill depends on man.”
  • The APA should begin by demanding that the tech industry’s behavioral manipulation techniques be brought out of the shadows and exposed to the light of public awareness
  • Changes should be made in the APA’s Ethics Code to specifically prevent psychologists from manipulating children using digital machines, especially if such influence is known to pose risks to their well-being.
  • Moreover, the APA should follow its Ethical Standards by making strong efforts to correct the misuse of psychological persuasion by the tech industry and by user experience designers outside the field of psychology.
  • It should join with tech executives who are demanding that persuasive design in kids’ tech products be regulated
  • The APA also should make its powerful voice heard amongst the growing chorus calling out tech companies that intentionally exploit children’s vulnerabilities.
Javier E

Satellite data strongly suggests that China, Russia and other authoritarian countries are fudging their GDP reports - The Washington Post - 0 views

www.washingtonpost.com/...-are-fudging-their-gdp-reports

science research social authoritarian GDP growth misinformation economic

shared by Javier E on 15 May 18 - No Cached
  • China, Russia and other authoritarian countries inflate their official GDP figures by anywhere from 15 to 30 percent in a given year, according to a new analysis of a quarter-century of satellite data.
  • authoritarian regimes are especially likely to artificially boost their gross domestic product numbers in the years before elections, and that the differences in GDP reporting between authoritarian and non-authoritarian countries can't be explained by structural factors, such as urbanization, composition of the economy or access to electricity
  • Martinez's findings are derived from a novel data source: satellite imagery that tracks changes in the level of nighttime lighting within and between countries over time
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  • provided by democracy are able to constrain governments’ desire to manipulate information or, more specifically, their desire to exaggerate how well the economy is doing,
  • "The way I try to answer the question above is by comparing GDP (a self-reported indicator, prone to manipulation) and nighttime lights (recorded by satellites from outer space and much harder to manipulate) as measures of economic activity."
  • "Consumption of nearly all goods in the evening requires lights," that paper explained. "As income rises, so does light usage per person, in both consumption activities and many investment activities."
  • As a result, increases in nighttime lighting generally track with increases in GDP
  • Martinez sorted the world's countries by their Freedom House score, which classifies countries on a spectrum ranging from "free" to "not free," based on categories such as civil rights protections and civil liberties. He then looked at how changes in nighttime lighting correlated with the countries' self-reported GDP measures.
  • "I find that a 10 percent increase in nighttime lights is associated with a 2.4 percent increase in GDP in the most democratic countries and with a 2.9 percent to 3.4 percent increase in GDP in the most authoritarian ones," Martinez said. The most obvious explanation is that those countries are the most likely to fudge their GDP figures to make their political leaders look good.
  • Beyond that, he found that authoritarian countries previously ruled by communist governments were particularly likely to report high GDP relative to nighttime lighting, as were authoritarian countries that were coming up on an election year.
Javier E

The Coming Software Apocalypse - The Atlantic - 1 views

www.theatlantic.com/...540393

software programming failure design

shared by Javier E on 26 Sep 17 - No Cached
  • Our standard framework for thinking about engineering failures—reflected, for instance, in regulations for medical devices—was developed shortly after World War II, before the advent of software, for electromechanical systems. The idea was that you make something reliable by making its parts reliable (say, you build your engine to withstand 40,000 takeoff-and-landing cycles) and by planning for the breakdown of those parts (you have two engines). But software doesn’t break. Intrado’s faulty threshold is not like the faulty rivet that leads to the crash of an airliner. The software did exactly what it was told to do. In fact it did it perfectly. The reason it failed is that it was told to do the wrong thing.
  • Software failures are failures of understanding, and of imagination. Intrado actually had a backup router, which, had it been switched to automatically, would have restored 911 service almost immediately. But, as described in a report to the FCC, “the situation occurred at a point in the application logic that was not designed to perform any automated corrective actions.”
  • The introduction of programming languages like Fortran and C, which resemble English, and tools, known as “integrated development environments,” or IDEs, that help correct simple mistakes (like Microsoft Word’s grammar checker but for code), obscured, though did little to actually change, this basic alienation—the fact that the programmer didn’t work on a problem directly, but rather spent their days writing out instructions for a machine.
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  • Code is too hard to think about. Before trying to understand the attempts themselves, then, it’s worth understanding why this might be: what it is about code that makes it so foreign to the mind, and so unlike anything that came before it.
  • Technological progress used to change the way the world looked—you could watch the roads getting paved; you could see the skylines rise. Today you can hardly tell when something is remade, because so often it is remade by code.
  • Software has enabled us to make the most intricate machines that have ever existed. And yet we have hardly noticed, because all of that complexity is packed into tiny silicon chips as millions and millions of lines of cod
  • The programmer, the renowned Dutch computer scientist Edsger Dijkstra wrote in 1988, “has to be able to think in terms of conceptual hierarchies that are much deeper than a single mind ever needed to face before.” Dijkstra meant this as a warning.
  • As programmers eagerly poured software into critical systems, they became, more and more, the linchpins of the built world—and Dijkstra thought they had perhaps overestimated themselves.
  • What made programming so difficult was that it required you to think like a computer.
  • “The problem is that software engineers don’t understand the problem they’re trying to solve, and don’t care to,” says Leveson, the MIT software-safety expert. The reason is that they’re too wrapped up in getting their code to work.
  • Though he runs a lab that studies the future of computing, he seems less interested in technology per se than in the minds of the people who use it. Like any good toolmaker, he has a way of looking at the world that is equal parts technical and humane. He graduated top of his class at the California Institute of Technology for electrical engineering,
  • “The serious problems that have happened with software have to do with requirements, not coding errors.” When you’re writing code that controls a car’s throttle, for instance, what’s important is the rules about when and how and by how much to open it. But these systems have become so complicated that hardly anyone can keep them straight in their head. “There’s 100 million lines of code in cars now,” Leveson says. “You just cannot anticipate all these things.”
  • a nearly decade-long investigation into claims of so-called unintended acceleration in Toyota cars. Toyota blamed the incidents on poorly designed floor mats, “sticky” pedals, and driver error, but outsiders suspected that faulty software might be responsible
  • software experts spend 18 months with the Toyota code, picking up where NASA left off. Barr described what they found as “spaghetti code,” programmer lingo for software that has become a tangled mess. Code turns to spaghetti when it accretes over many years, with feature after feature piling on top of, and being woven around
  • Using the same model as the Camry involved in the accident, Barr’s team demonstrated that there were actually more than 10 million ways for the onboard computer to cause unintended acceleration. They showed that as little as a single bit flip—a one in the computer’s memory becoming a zero or vice versa—could make a car run out of control. The fail-safe code that Toyota had put in place wasn’t enough to stop it
  • . In all, Toyota recalled more than 9 million cars, and paid nearly $3 billion in settlements and fines related to unintended acceleration.
  • The problem is that programmers are having a hard time keeping up with their own creations. Since the 1980s, the way programmers work and the tools they use have changed remarkably little.
  • “Visual Studio is one of the single largest pieces of software in the world,” he said. “It’s over 55 million lines of code. And one of the things that I found out in this study is more than 98 percent of it is completely irrelevant. All this work had been put into this thing, but it missed the fundamental problems that people faced. And the biggest one that I took away from it was that basically people are playing computer inside their head.” Programmers were like chess players trying to play with a blindfold on—so much of their mental energy is spent just trying to picture where the pieces are that there’s hardly any left over to think about the game itself.
  • The fact that the two of them were thinking about the same problem in the same terms, at the same time, was not a coincidence. They had both just seen the same remarkable talk, given to a group of software-engineering students in a Montreal hotel by a computer researcher named Bret Victor. The talk, which went viral when it was posted online in February 2012, seemed to be making two bold claims. The first was that the way we make software is fundamentally broken. The second was that Victor knew how to fix it.
  • This is the trouble with making things out of code, as opposed to something physical. “The complexity,” as Leveson puts it, “is invisible to the eye.”
  • in early 2012, Victor had finally landed upon the principle that seemed to thread through all of his work. (He actually called the talk “Inventing on Principle.”) The principle was this: “Creators need an immediate connection to what they’re creating.” The problem with programming was that it violated the principle. That’s why software systems were so hard to think about, and so rife with bugs: The programmer, staring at a page of text, was abstracted from whatever it was they were actually making.
  • “Our current conception of what a computer program is,” he said, is “derived straight from Fortran and ALGOL in the late ’50s. Those languages were designed for punch cards.”
  • WYSIWYG (pronounced “wizzywig”) came along. It stood for “What You See Is What You Get.”
  • Victor’s point was that programming itself should be like that. For him, the idea that people were doing important work, like designing adaptive cruise-control systems or trying to understand cancer, by staring at a text editor, was appalling.
  • With the right interface, it was almost as if you weren’t working with code at all; you were manipulating the game’s behavior directly.
  • When the audience first saw this in action, they literally gasped. They knew they weren’t looking at a kid’s game, but rather the future of their industry. Most software involved behavior that unfolded, in complex ways, over time, and Victor had shown that if you were imaginative enough, you could develop ways to see that behavior and change it, as if playing with it in your hands. One programmer who saw the talk wrote later: “Suddenly all of my tools feel obsolete.”
  • hen John Resig saw the “Inventing on Principle” talk, he scrapped his plans for the Khan Academy programming curriculum. He wanted the site’s programming exercises to work just like Victor’s demos. On the left-hand side you’d have the code, and on the right, the running program: a picture or game or simulation. If you changed the code, it’d instantly change the picture. “In an environment that is truly responsive,” Resig wrote about the approach, “you can completely change the model of how a student learns ... [They] can now immediately see the result and intuit how underlying systems inherently work without ever following an explicit explanation.” Khan Academy has become perhaps the largest computer-programming class in the world, with a million students, on average, actively using the program each month.
  • The ideas spread. The notion of liveness, of being able to see data flowing through your program instantly, made its way into flagship programming tools offered by Google and Apple. The default language for making new iPhone and Mac apps, called Swift, was developed by Apple from the ground up to support an environment, called Playgrounds, that was directly inspired by Light Table.
  • “Typically the main problem with software coding—and I’m a coder myself,” Bantegnie says, “is not the skills of the coders. The people know how to code. The problem is what to code. Because most of the requirements are kind of natural language, ambiguous, and a requirement is never extremely precise, it’s often understood differently by the guy who’s supposed to code.”
  • In a pair of later talks, “Stop Drawing Dead Fish” and “Drawing Dynamic Visualizations,” Victor went one further. He demoed two programs he’d built—the first for animators, the second for scientists trying to visualize their data—each of which took a process that used to involve writing lots of custom code and reduced it to playing around in a WYSIWYG interface.
  • Victor suggested that the same trick could be pulled for nearly every problem where code was being written today. “I’m not sure that programming has to exist at all,” he told me. “Or at least software developers.” In his mind, a software developer’s proper role was to create tools that removed the need for software developers. Only then would people with the most urgent computational problems be able to grasp those problems directly, without the intermediate muck of code.
  • Victor implored professional software developers to stop pouring their talent into tools for building apps like Snapchat and Uber. “The inconveniences of daily life are not the significant problems,” he wrote. Instead, they should focus on scientists and engineers—as he put it to me, “these people that are doing work that actually matters, and critically matters, and using really, really bad tools.”
  • Bantegnie’s company is one of the pioneers in the industrial use of model-based design, in which you no longer write code directly. Instead, you create a kind of flowchart that describes the rules your program should follow (the “model”), and the computer generates code for you based on those rules
  • In a model-based design tool, you’d represent this rule with a small diagram, as though drawing the logic out on a whiteboard, made of boxes that represent different states—like “door open,” “moving,” and “door closed”—and lines that define how you can get from one state to the other. The diagrams make the system’s rules obvious: Just by looking, you can see that the only way to get the elevator moving is to close the door, or that the only way to get the door open is to stop.
  • . In traditional programming, your task is to take complex rules and translate them into code; most of your energy is spent doing the translating, rather than thinking about the rules themselves. In the model-based approach, all you have is the rules. So that’s what you spend your time thinking about. It’s a way of focusing less on the machine and more on the problem you’re trying to get it to solve.
  • “Everyone thought I was interested in programming environments,” he said. Really he was interested in how people see and understand systems—as he puts it, in the “visual representation of dynamic behavior.” Although code had increasingly become the tool of choice for creating dynamic behavior, it remained one of the worst tools for understanding it. The point of “Inventing on Principle” was to show that you could mitigate that problem by making the connection between a system’s behavior and its code immediate.
  • On this view, software becomes unruly because the media for describing what software should do—conversations, prose descriptions, drawings on a sheet of paper—are too different from the media describing what software does do, namely, code itself.
  • for this approach to succeed, much of the work has to be done well before the project even begins. Someone first has to build a tool for developing models that are natural for people—that feel just like the notes and drawings they’d make on their own—while still being unambiguous enough for a computer to understand. They have to make a program that turns these models into real code. And finally they have to prove that the generated code will always do what it’s supposed to.
  • tice brings order and accountability to large codebases. But, Shivappa says, “it’s a very labor-intensive process.” He estimates that before they used model-based design, on a two-year-long project only two to three months was spent writing code—the rest was spent working on the documentation.
  • uch of the benefit of the model-based approach comes from being able to add requirements on the fly while still ensuring that existing ones are met; with every change, the computer can verify that your program still works. You’re free to tweak your blueprint without fear of introducing new bugs. Your code is, in FAA parlance, “correct by construction.”
  • “people are not so easily transitioning to model-based software development: They perceive it as another opportunity to lose control, even more than they have already.”
  • The bias against model-based design, sometimes known as model-driven engineering, or MDE, is in fact so ingrained that according to a recent paper, “Some even argue that there is a stronger need to investigate people’s perception of MDE than to research new MDE technologies.”
  • “Human intuition is poor at estimating the true probability of supposedly ‘extremely rare’ combinations of events in systems operating at a scale of millions of requests per second,” he wrote in a paper. “That human fallibility means that some of the more subtle, dangerous bugs turn out to be errors in design; the code faithfully implements the intended design, but the design fails to correctly handle a particular ‘rare’ scenario.”
  • Newcombe was convinced that the algorithms behind truly critical systems—systems storing a significant portion of the web’s data, for instance—ought to be not just good, but perfect. A single subtle bug could be catastrophic. But he knew how hard bugs were to find, especially as an algorithm grew more complex. You could do all the testing you wanted and you’d never find them all.
  • An algorithm written in TLA+ could in principle be proven correct. In practice, it allowed you to create a realistic model of your problem and test it not just thoroughly, but exhaustively. This was exactly what he’d been looking for: a language for writing perfect algorithms.
  • TLA+, which stands for “Temporal Logic of Actions,” is similar in spirit to model-based design: It’s a language for writing down the requirements—TLA+ calls them “specifications”—of computer programs. These specifications can then be completely verified by a computer. That is, before you write any code, you write a concise outline of your program’s logic, along with the constraints you need it to satisfy
  • Programmers are drawn to the nitty-gritty of coding because code is what makes programs go; spending time on anything else can seem like a distraction. And there is a patient joy, a meditative kind of satisfaction, to be had from puzzling out the micro-mechanics of code. But code, Lamport argues, was never meant to be a medium for thought. “It really does constrain your ability to think when you’re thinking in terms of a programming language,”
  • Code makes you miss the forest for the trees: It draws your attention to the working of individual pieces, rather than to the bigger picture of how your program fits together, or what it’s supposed to do—and whether it actually does what you think. This is why Lamport created TLA+. As with model-based design, TLA+ draws your focus to the high-level structure of a system, its essential logic, rather than to the code that implements it.
  • But TLA+ occupies just a small, far corner of the mainstream, if it can be said to take up any space there at all. Even to a seasoned engineer like Newcombe, the language read at first as bizarre and esoteric—a zoo of symbols.
  • this is a failure of education. Though programming was born in mathematics, it has since largely been divorced from it. Most programmers aren’t very fluent in the kind of math—logic and set theory, mostly—that you need to work with TLA+. “Very few programmers—and including very few teachers of programming—understand the very basic concepts and how they’re applied in practice. And they seem to think that all they need is code,” Lamport says. “The idea that there’s some higher level than the code in which you need to be able to think precisely, and that mathematics actually allows you to think precisely about it, is just completely foreign. Because they never learned it.”
  • “In the 15th century,” he said, “people used to build cathedrals without knowing calculus, and nowadays I don’t think you’d allow anyone to build a cathedral without knowing calculus. And I would hope that after some suitably long period of time, people won’t be allowed to write programs if they don’t understand these simple things.”
  • Programmers, as a species, are relentlessly pragmatic. Tools like TLA+ reek of the ivory tower. When programmers encounter “formal methods” (so called because they involve mathematical, “formally” precise descriptions of programs), their deep-seated instinct is to recoil.
  • Formal methods had an image problem. And the way to fix it wasn’t to implore programmers to change—it was to change yourself. Newcombe realized that to bring tools like TLA+ to the programming mainstream, you had to start speaking their language.
  • he presented TLA+ as a new kind of “pseudocode,” a stepping-stone to real code that allowed you to exhaustively test your algorithms—and that got you thinking precisely early on in the design process. “Engineers think in terms of debugging rather than ‘verification,’” he wrote, so he titled his internal talk on the subject to fellow Amazon engineers “Debugging Designs.” Rather than bemoan the fact that programmers see the world in code, Newcombe embraced it. He knew he’d lose them otherwise. “I’ve had a bunch of people say, ‘Now I get it,’” Newcombe says.
  • In the world of the self-driving car, software can’t be an afterthought. It can’t be built like today’s airline-reservation systems or 911 systems or stock-trading systems. Code will be put in charge of hundreds of millions of lives on the road and it has to work. That is no small task.
Javier E

The Irrational Consumer: Why Economics Is Dead Wrong About How We Make Choices - Derek Thompson - The Atlantic - 4 views

www.theatlantic.com/...267255

rational choice rationality psychology consumer economics

shared by Javier E on 20 May 15 - No Cached
  • Atlantic.displayRandomElement('#header li.business .sponsored-dropdown-item'); Derek Thompson - Derek Thompson is a senior editor at The Atlantic, where he oversees business coverage for the website. More Derek has also written for Slate, BusinessWeek, and the Daily Beast. He has appeared as a guest on radio and television networks, including NPR, the BBC, CNBC, and MSNBC. All Posts RSS feed Share Share on facebook Share on linkedin Share on twitter « Previous Thompson Email Print Close function plusOneCallback () { $(document).trigger('share'); } $(document).ready(function() { var iframeUrl = "\/ad\/thanks-iframe\/TheAtlanticOnline\/channel_business;src=blog;by=derek-thompson;title=the-irrational-consumer-why-economics-is-dead-wrong-about-how-we-make-choices;pos=sharing;sz=640x480,336x280,300x250"; var toolsClicked = false; $('#toolsTop').click(function() { toolsClicked = 'top'; }); $('#toolsBottom').click(function() { toolsClicked = 'bottom'; }); $('#thanksForSharing a.hide').click(function() { $('#thanksForSharing').hide(); }); var onShareClickHandler = function() { var top = parseInt($(this).css('top').replace(/px/, ''), 10); toolsClicked = (top > 600) ? 'bottom' : 'top'; }; var onIframeReady = function(iframe) { var win = iframe.contentWindow; // Don't show the box if there's no ad in it if (win.$('.ad').children().length == 1) { return; } var visibleAds = win.$('.ad').filter(function() { return !($(this).css('display') == 'none'); }); if (visibleAds.length == 0) { // Ad is hidden, so don't show return; } if (win.$('.ad').hasClass('adNotLoaded')) { // Ad failed to load so don't show return; } $('#thanksForSharing').css('display', 'block'); var top; if(toolsClicked == 'bottom' && $('#toolsBottom').length) { top = $('#toolsBottom')[0].offsetTop + $('#toolsBottom').height() - 310; } else { top = $('#toolsTop')[0].offsetTop + $('#toolsTop').height() + 10; } $('#thanksForSharing').css('left', (-$('#toolsTop').offset().left + 60) + 'px'); $('#thanksForSharing').css('top', top + 'px'); }; var onShare = function() { // Close "Share successful!" AddThis plugin popup if (window._atw && window._atw.clb && $('#at15s:visible').length) { _atw.clb(); } if (iframeUrl == null) { return; } $('#thanksForSharingIframe').attr('src', "\/ad\/thanks-iframe\/TheAtlanticOnline\/channel_business;src=blog;by=derek-thompson;title=the-irrational-consumer-why-economics-is-dead-wrong-about-how-we-make-choices;pos=sharing;sz=640x480,336x280,300x250"); $('#thanksForSharingIframe').load(function() { var iframe = this; var win = iframe.contentWindow; if (win.loaded) { onIframeReady(iframe); } else { win.$(iframe.contentDocument).ready(function() { onIframeReady(iframe); }) } }); }; if (window.addthis) { addthis.addEventListener('addthis.ready', function() { $('.articleTools .share').mouseover(function() { $('#at15s').unbind('click', onShareClickHandler); $('#at15s').bind('click', onShareClickHandler); }); }); addthis.addEventListener('addthis.menu.share', function(evt) { onShare(); }); } // This 'share' event is used for testing, so one can call // $(document).trigger('share') to get the thank you for // sharing box to appear. $(document).bind('share', function(event) { onShare(); }); if (!window.FB || (window.FB && !window.FB._apiKey)) { // Hook into the fbAsyncInit function and register our listener there var oldFbAsyncInit = (window.fbAsyncInit) ? window.fbAsyncInit : (function() { }); window.fbAsyncInit = function() { oldFbAsyncInit(); FB.Event.subscribe('edge.create', function(response) { // to hide the facebook comments box $('#facebookLike span.fb_edge_comment_widget').hide(); onShare(); }); }; } else if (window.FB) { FB.Event.subscribe('edge.create', function(response) { // to hide the facebook comments box $('#facebookLike span.fb_edge_comment_widget').hide(); onShare(); }); } }); The Irrational Consumer: Why Economics Is Dead Wrong About How We Make Choices By Derek Thompson he
  • First, making a choice is physically exhausting, literally, so that somebody forced to make a number of decisions in a row is likely to get lazy and dumb.
  • Second, having too many choices can make us less likely to come to a conclusion. In a famous study of the so-called "paradox of choice", psychologists Mark Lepper and Sheena Iyengar found that customers presented with six jam varieties were more likely to buy one than customers offered a choice of 24.
  • ...7 more annotations...
  • Many of our mistakes stem from a central "availability bias." Our brains are computers, and we like to access recently opened files, even though many decisions require a deep body of information that might require some searching. Cheap example: We remember the first, last, and peak moments of certain experiences.
  • The third check against the theory of the rational consumer is the fact that we're social animals. We let our friends and family and tribes do our thinking for us
  • neurologists are finding that many of the biases behavioral economists perceive in decision-making start in our brains. "Brain studies indicate that organisms seem to be on a hedonic treadmill, quickly habituating to homeostasis," McFadden writes. In other words, perhaps our preference for the status quo isn't just figuratively our heads, but also literally sculpted by the hand of evolution inside of our brains.
  • The popular psychological theory of "hyperbolic discounting" says people don't properly evaluate rewards over time. The theory seeks to explain why many groups -- nappers, procrastinators, Congress -- take rewards now and pain later, over and over again. But neurology suggests that it hardly makes sense to speak of "the brain," in the singular, because it's two very different parts of the brain that process choices for now and later. The choice to delay gratification is mostly processed in the frontal system. But studies show that the choice to do something immediately gratifying is processed in a different system, the limbic system, which is more viscerally connected to our behavior, our "reward pathways," and our feelings of pain and pleasure.
  • the final message is that neither the physiology of pleasure nor the methods we use to make choices are as simple or as single-minded as the classical economists thought. A lot of behavior is consistent with pursuit of self-interest, but in novel or ambiguous decision-making environments there is a good chance that our habits will fail us and inconsistencies in the way we process information will undo us.
  • Our brains seem to operate like committees, assigning some tasks to the limbic system, others to the frontal system. The "switchboard" does not seem to achieve complete, consistent communication between different parts of the brain. Pleasure and pain are experienced in the limbic system, but not on one fixed "utility" or "self-interest" scale. Pleasure and pain have distinct neural pathways, and these pathways adapt quickly to homeostasis, with sensation coming from changes rather than levels
  • Social networks are sources of information, on what products are available, what their features are, and how your friends like them. If the information is accurate, this should help you make better choices. On the other hand, it also makes it easier for you to follow the crowd rather than engaging in the due diligence of collecting and evaluating your own information and playing it against your own preferences
huffem4

How to Use Critical Thinking to Separate Fact From Fiction Online | by Simon Spichak | Better Humans | Sep, 2020 | Medium - 2 views

medium.com/...om-fiction-online-b13ee6bb2a14

shared by huffem4 on 01 Nov 20 - No Cached
  • Critical thinking helps us frame everyday problems, teaches us to ask the correct questions, and points us towards intelligent solutions.
  • Critical thinking is a continuing practice that involves an open mind and methods for synthesizing and evaluating the quality of knowledge and evidence, as well as an understanding of human errors.
  • Step 1. What We Believe Depends on How We Feel
  • ...33 more annotations...
  • One of the first things I ask myself when I read a headline or find a claim about a product is if the phrase is emotionally neutral. Some headlines generate outrage or fear, indicating that there is a clear bias. When we read something that exploits are emotions, we must be careful.
  • misinformation tends to play on our emotions a lot better than factual reporting or news.
  • When I’m trying to figure out whether a claim is factual, there are a few questions I always ask myself.Does the headline, article, or information evoke fear, anger, or other strong negative emotions?Where did you hear about the information? Does it cite any direct evidence?What is the expert consensus on this information?
  • Step 2. Evidence Synthesis and EvaluationSometimes I’m still feeling uncertain if there’s any truth to a claim. Even after taking into account the emotions it evokes, I need to find the evidence of a claim and evaluate its quality
  • Often, the information that I want to check is either political or scientific. There are different questions I ask myself, depending on the nature of these claims.
  • Political claims
  • Looking at multiple different outlets, each with its own unique biases, helps us get a picture of the issue.
  • I use multiple websites specializing in fact-checking. They provide primary sources of evidence for different types of claims. Here is a list of websites where I do my fact-checking:
  • SnopesPolitifactFactCheckMedia Bias/Fact Check (a bias assessor for fact-checking websites)Simply type in some keywords from the claim to find out if it’s verified with primary sources, misleading, false, or unproven.
  • Science claims
  • Often we tout science as the process by which we uncover absolute truths about the universe. Once many scientists agree on something, it gets disseminated in the news. Confusion arises once this science changes or evolves, as is what happened throughout the coronavirus pandemic. In addition to fear and misinformation, we have to address a fundamental misunderstanding of the way science works when practicing critical thinking.
  • It is confusing to hear about certain drugs found to cure the coronavirus one moment, followed by many other scientists and researchers saying that they don’t. How do we collect and assess these scientific claims when there are discrepancies?
  • A big part of these scientific findings is difficult to access for the public
  • Sometimes the distinction between scientific coverage and scientific articles isn’t clear. When this difference is clear, we might still find findings in different academic journals that disagree with each other. Sometimes, research that isn’t peer-reviewed receives plenty of coverage in the media
  • Correlation and causation: Sometimes a claim might present two factors that appear correlated. Consider recent misinformation about 5G Towers and the spread of coronavirus. While there might appear to be associations, it doesn’t necessarily mean that there is a causative relationship
  • To practice critical thinking with these kinds of claims, we must ask the following questions:Does this claim emerge from a peer-reviewed scientific article? Has this paper been retracted?Does this article appear in a reputable journal?What is the expert consensus on this article?
  • The next examples I want to bring up refer to retracted articles from peer-reviewed journals. Since science is a self-correcting process, rather than a decree of absolutes, mistakes and fraud are corrected.
  • Briefly, I will show you exactly how to tell if the resource you are reading is an actual, peer-reviewed scientific article.
  • How does science go from experiments to the news?
  • researchers outline exactly how they conducted their experiments so other researchers can replicate them, build upon them, or provide quality assurance for them. This scientific report does not go straight to the nearest science journalist. Websites and news outlets like Scientific American or The Atlantic do not publish scientific articles.
  • Here is a quick checklist that will help you figure out if you’re viewing a scientific paper.
  • Once it’s written up, researchers send this manuscript to a journal. Other experts in the field then provide comments, feedback, and critiques. These peer reviewers ask researchers for clarification or even more experiments to strengthen their results. Peer review often takes months or sometimes years.
  • Some peer-reviewed scientific journals are Science and Nature; other scientific articles are searchable through the PubMed database. If you’re curious about a topic, search for scientific papers.
  • Peer-review is crucial! If you’re assessing the quality of evidence for claims, peer-reviewed research is a strong indicator
  • Finally, there are platforms for scientists to review research even after publication in a peer-reviewed journal. Although most scientists conduct experiments and interpret their data objectively, they may still make errors. Many scientists use Twitter and PubPeer to perform a post-publication review
  • Step 3. Are You Practicing Objectivity?
  • To finish off, I want to discuss common cognitive errors that we tend to make. Finally, there are some framing questions to ask at the end of our research to help us with assessing any information that we find.
  • Dunning-Kruger effect: Why do we rely on experts? In 1999, David Dunning and Justin Kruger published “Unskilled and unaware of it: how difficulties in recognizing one’s own incompetence lead to inflated self-assessments.” They found that the less a person understands about a topic, the more confident of their abilities or knowledge they will be
  • How does this relate to critical thinking? If you’re reading a claim sourced or written by somebody who lacks expertise in a field, they are underestimating its complexity. Whenever possible, look for an authoritative source when synthesizing and evaluating evidence for a claim.
  • Survivorship bias: Ever heard someone argue that we don’t need vaccines or seatbelts? After all, they grew up without either of them and are still alive and healthy!These arguments are appealing at first, but they don’t account for any cases of failures. They are attributing a misplaced sense of optimism and safety by ignoring the deaths that occurred resultant from a lack of vaccinations and seatbelts
  • When you’re still unsure, follow the consensus of the experts within the field. Scientists pointed out flaws within this pre-print article leading to its retraction. The pre-print was removed from the server because it did not hold up to proper scientific standards or scrutiny.
  • Now with all the evidence we’ve gathered, we ask ourselves some final questions. There are plenty more questions you will come up with yourself, case-by-case.Who is making the original claim?Who supports these claims? What are their qualifications?What is the evidence used for these claims?Where is this evidence published?How was the evidence gathered?Why is it important?
  • “even if some data is supporting a claim, does it make sense?” Some claims are deceptively true but fall apart when accounting for this bias.
johnsonel7

The case for economics - by the numbers | MIT News - 0 views

news.mit.edu/...cs-influence-fields-study-0303

economics Inside Job social sciences data

shared by johnsonel7 on 06 Mar 20 - No Cached
  • In recent years, criticism has been levelled at economics for being insular and unconcerned about real-world problems. But a new study led by MIT scholars finds the field increasingly overlaps with the work of other disciplines, and, in a related development, has become more empirical and data-driven, while producing less work of pure theory.
  • In psychology journals, for instance, citations of economics papers have more than doubled since 2000. Public health papers now cite economics work twice as often as they did 10 years ago, and citations of economics research in fields from operations research to computer science have risen sharply as well.
  • As Angrist acknowledges, one impetus for the study was the wave of criticism the economics profession has faced over the last decade, after the banking crisis and the “Great Recession” of 2008-2009, which included the finance-sector crash of 2008. The paper’s title alludes to the film “Inside Job” — whose thesis holds that, as Angrist puts it, “economics scholarship as an academic enterprise was captured somehow by finance, and that academic economists should therefore be blamed for the Great Recession.”
  • ...3 more annotations...
  • “If you ask me, economics has never been better,” says Josh Angrist, an MIT economist who led the study. “It’s never been more useful. It’s never been more scientific and more evidence-based.”
  • The study also details the relationship between economics and four additional social science disciplines: anthropology, political science, psychology, and sociology. Among these, political science has overtaken sociology as the discipline most engaged with economics. Psychology papers now cite economics research about as often as they cite works of sociology. The new intellectual connectivity between economics and psychology appears to be a product of the growth of behavioral economics, which examines the irrational, short-sighted financial decision-making of individuals — a different paradigm than the assumptions about rational decision-making found in neoclassical economics.
  • “It really seems to be the diversity of economics that makes it do well in influencing other fields,” Ellison says. “Operations research, computer science, and psychology are paying a lot of attention to economic theory. Sociologists are paying a lot of attention to labor economics, marketing and management are paying attention to industrial organization, statisticians are paying attention to econometrics, and the public health people are paying attention to health economics. Just about everything in economics is influential somewhere.”
Javier E

The "missing law" of nature was here all along | Salon.com - 0 views

www.salon.com/...w-of-nature-was-here-all-along

salon science communication evolution natural selection convergence stories information

shared by Javier E on 05 Dec 23 - No Cached
  • recently published scientific article proposes a sweeping new law of nature, approaching the matter with dry, clinical efficiency that still reads like poetry.
  • “Evolving systems are asymmetrical with respect to time; they display temporal increases in diversity, distribution, and/or patterned behavior,” they continue, mounting their case from the shoulders of Charles Darwin, extending it toward all things living and not. 
  • To join the known physics laws of thermodynamics, electromagnetism and Newton’s laws of motion and gravity, the nine scientists and philosophers behind the paper propose their “law of increasing functional information.”
  • ...27 more annotations...
  • In short, a complex and evolving system — whether that’s a flock of gold finches or a nebula or the English language — will produce ever more diverse and intricately detailed states and configurations of itself.
  • Some of these more diverse and intricate configurations, the scientists write, are shed and forgotten over time. The configurations that persist are ones that find some utility or novel function in a process akin to natural selection, but a selection process driven by the passing-on of information rather than just the sowing of biological genes
  • Have they finally glimpsed, I wonder, the connectedness and symbiotic co-evolution of their own scientific ideas with those of the world’s writers
  • Have they learned to describe in their own quantifying language that cradle from which both our disciplines have emerged and the firmament on which they both stand — the hearing and telling of stories in order to exist?
  • Have they quantified the quality of all existent matter, living and not: that all things inherit a story in data to tell, and that our stories are told by the very forms we take to tell them? 
  • “Is there a universal basis for selection? Is there a more quantitative formalism underlying this conjectured conceptual equivalence—a formalism rooted in the transfer of information?,” they ask of the world’s disparate phenomena. “The answer to both questions is yes.”
  • Yes. They’ve glimpsed it, whether they know it or not. Sing to me, O Muse, of functional information and its complex diversity.
  • The principle of complexity evolving at its own pace when left to its own devices, independent of time but certainly in a dance with it, is nothing new. Not in science, nor in its closest humanities kin, science and nature writing. Give things time and nourishing environs, protect them from your own intrusions and — living organisms or not — they will produce abundant enlacement of forms.
  • This is how poetry was born from the same larynxes and phalanges that tendered nuclear equations: We featherless bipeds gave language our time and delighted attendance until its forms were so multivariate that they overflowed with inevitable utility.
  • In her Pulitzer-winning “Pilgrim at Tinker Creek,” nature writer Annie Dillard explains plainly that evolution is the vehicle of such intricacy in the natural world, as much as it is in our own thoughts and actions. 
  • “The stability of simple forms is the sturdy base from which more complex, stable forms might arise, forming in turn more complex forms,” she explains, drawing on the undercap frills of mushrooms and filament-fine filtering tubes inside human kidneys to illustrate her point. 
  • “Utility to the creature is evolution’s only aesthetic consideration. Form follows function in the created world, so far as I know, and the creature that functions, however bizarre, survives to perpetuate its form,” writes Dillard.
  • “Of the multiplicity of forms, I know nothing. Except that, apparently, anything goes. This holds for forms of behavior as well as design — the mantis munching her mate, the frog wintering in mud.” 
  • She notes that, of all forms of life we’ve ever known to exist, only about 10% are still alive. What extravagant multiplicity. 
  • “Intricacy is that which is given from the beginning, the birthright, and in the intricacy is the hardiness of complexity that ensures against the failures of all life,” Dillard writes. “The wonder is — given the errant nature of freedom and the burgeoning texture of time — the wonder is that all the forms are not monsters, that there is beauty at all, grace gratuitous.”
  • “This paper, and the reason why I'm so proud of it, is because it really represents a connection between science and the philosophy of science that perhaps offers a new lens into why we see everything that we see in the universe,” lead scientist Michael Wong told Motherboard in a recent interview. 
  • Wong is an astrobiologist and planetary scientist at the Carnegie Institute for Science. In his team’s paper, that bridge toward scientific philosophy is not only preceded by a long history of literary creativity but directly theorizes about the creative act itself.  
  • “The creation of art and music may seem to have very little to do with the maintenance of society, but their origins may stem from the need to transmit information and create bonds among communities, and to this day, they enrich life in innumerable ways,” Wong’s team writes.  
  • “Perhaps, like eddies swirling off of a primary flow field, selection pressures for ancillary functions can become so distant from the core functions of their host systems that they can effectively be treated as independently evolving systems,” the authors add, pointing toward the elaborate mating dance culture observed in birds of paradise.
  • “Perhaps it will be humanity’s ability to learn, invent, and adopt new collective modes of being that will lead to its long-term persistence as a planetary phenomenon. In light of these considerations, we suspect that the general principles of selection and function discussed here may also apply to the evolution of symbolic and social systems.”
  • The Mekhilta teaches that all Ten Commandments were pronounced in a single utterance. Similarly, the Maharsha says the Torah’s 613 mitzvoth are only perceived as a plurality because we’re time-bound humans, even though they together form a singular truth which is indivisible from He who expressed it. 
  • Or, as the Mishna would have it, “the creations were all made in generic form, and they gradually expanded.” 
  • Like swirling eddies off of a primary flow field.
  • “O Lord, how manifold are thy works!,” cried out David in his psalm. “In wisdom hast thou made them all: the earth is full of thy riches. So is this great and wide sea, wherein are things creeping innumerable, both small and great beasts.” 
  • In all things, then — from poetic inventions, to rare biodiverse ecosystems, to the charted history of our interstellar equations — it is best if we conserve our world’s intellectual and physical diversity, for both the study and testimony of its immeasurable multiplicity.
  • Because, whether wittingly or not, science is singing the tune of the humanities. And whether expressed in algebraic logic or ancient Greek hymn, its chorus is the same throughout the universe: Be fruitful and multiply. 
  • Both intricate configurations of art and matter arise and fade according to their shared characteristic, long-known by students of the humanities: each have been graced with enough time to attend to the necessary affairs of their most enduring pleasures. 
Javier E

The Data Vigilante - Christopher Shea - The Atlantic - 0 views

www.theatlantic.com/...309172

scientific method science fraud bias statistics

shared by Javier E on 01 Dec 12 - No Cached
  • He is, on the contrary, seized by the conviction that science is beset by sloppy statistical maneuvering and, in some cases, outright fraud. He has therefore been moonlighting as a fraud-buster, developing techniques to help detect doctored data in other people’s research. Already, in the space of less than a year, he has blown up two colleagues’ careers.
  • In a paper called “False-Positive Psychology,” published in the prestigious journal Psychological Science, he and two colleagues—Leif Nelson, a professor at the University of California at Berkeley, and Wharton’s Joseph Simmons—showed that psychologists could all but guarantee an interesting research finding if they were creative enough with their statistics and procedures.
  • By going on what amounted to a fishing expedition (that is, by recording many, many variables but reporting only the results that came out to their liking); by failing to establish in advance the number of human subjects in an experiment; and by analyzing the data as they went, so they could end the experiment when the results suited them, they produced a howler of a result, a truly absurd finding. They then ran a series of computer simulations using other experimental data to show that these methods could increase the odds of a false-positive result—a statistical fluke, basically—to nearly two-thirds.
  • ...2 more annotations...
  • “I couldn’t tolerate knowing something was fake and not doing something about it,” he told me. “Everything loses meaning. What’s the point of writing a paper, fighting very hard to get it published, going to conferences?”
  • Simonsohn stressed that there’s a world of difference between data techniques that generate false positives, and fraud, but he said some academic psychologists have, until recently, been dangerously indifferent to both. Outright fraud is probably rare. Data manipulation is undoubtedly more common—and surely extends to other subjects dependent on statistical study, including biomedicine. Worse, sloppy statistics are “like steroids in baseball”: Throughout the affected fields, researchers who are too intellectually honest to use these tricks will publish less, and may perish. Meanwhile, the less fastidious flourish.
Javier E

The Excel Depression - NYTimes.com - 0 views

www.nytimes.com/...gman-the-excel-depression.html

austerity social science interpretation data mistake GDP

shared by Javier E on 19 Apr 13 - No Cached
  • the paper instantly became famous; it was, and is, surely the most influential economic analysis of recent years.
  • In fact, Reinhart-Rogoff quickly achieved almost sacred status among self-proclaimed guardians of fiscal responsibility; their tipping-point claim was treated not as a disputed hypothesis but as unquestioned fact.
  • another problem emerged: Other researchers, using seemingly comparable data on debt and growth, couldn’t replicate the Reinhart-Rogoff results.
  • ...5 more annotations...
  • the truth is that Reinhart-Rogoff faced substantial criticism from the start, and the controversy grew over time. As soon as the paper was released, many economists pointed out that a negative correlation between debt and economic performance need not mean that high debt causes low growth. It could just as easily be the other way around
  • Finally, Ms. Reinhart and Mr. Rogoff allowed researchers at the University of Massachusetts to look at their original spreadsheet — and the mystery of the irreproducible results was solved. First, they omitted some data; second, they used unusual and highly questionable statistical procedures; and finally, yes, they made an Excel coding error.
  • Correct these oddities and errors, and you get what other researchers have found: some correlation between high debt and slow growth, with no indication of which is causing which, but no sign at all of that 90 percent “threshold.”
  • the Reinhart-Rogoff fiasco needs to be seen in the broader context of austerity mania: the obviously intense desire of policy makers, politicians and pundits across the Western world to turn their backs on the unemployed and instead use the economic crisis as an excuse to slash social programs.
  • What the Reinhart-Rogoff affair shows is the extent to which austerity has been sold on false pretenses. For three years, the turn to austerity has been presented not as a choice but as a necessity. Economic research, austerity advocates insisted, showed that terrible things happen once debt exceeds 90 percent of G.D.P. But “economic research” showed no such thing; a couple of economists made that assertion, while many others disagreed. Policy makers abandoned the unemployed and turned to austerity because they wanted to, not because they had to.
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