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Javier E

Climate Change Data Deluge Has Scientists Scrambling for Solutions - WSJ - 0 views

www.wsj.com/...ling-for-solutions-11638720016

climate change data technology research

shared by Javier E on 06 Dec 21 - No Cached
  • For decades, scientists working to predict changes in the climate relied mostly on calculations involving simple laws of physics and chemistry but little data from the real world. But with temperatures world-wide continuing to rise—and with data-collection techniques and technologies continuing to advance—scientists now rely on meticulous measurements of temperatures, ocean currents, soil moisture, air quality, cloud cover and hundreds of other phenomena on Earth and in its atmosphere.
  • “Now we can truly do climate studies because now we have observations to precisely say how weather trends have changed and are changing,
  • “When you are trying to develop long-term environmental records, including climate records, consistent measurement is incredibly valuable,” says Kevin Murphy, who as NASA’s chief science data officer oversees an archive of Earth observation data used by 3.9 million people last year. “It’s irreplaceable data.”
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  • Over the next decade, officials managing the main U.S. repositories of climate-related information expect their archives’ total volume to grow from about 83 petabytes today to more than 650 petabytes.
  • One petabyte of digital memory can hold thousands of feature-length movies, with 650 enough to hold the contents of the Library of Congress 30 times over.
  • All that information, though, is more than conventional data storage can handle and more than any human mind can readily assimilate,
  • To accommodate it all, the federal workers tasked with managing the data are moving it into the cloud, which offers almost unlimited memory storage while eliminating the need for scientists to maintain their own on-site archive
  • archive managers are devising new analytical techniques and adapting a standard format for the data no matter who collected it and who wants to study it.
  • In essence, they are reinventing climate science from the ground up.
  • “We are in the midst of a technology evolution,
  • As of last September, government agencies and private companies had about 900 Earth-orbiting satellites gathering data about our planet, according to the Union of Concerned Scientists. That is almost three times as many as were aloft in 2008. More are being readied for launch.
  • ASA’s $1 billion Surface Water and Ocean Topography mission will measure Earth’s lakes, rivers and oceans in the first detailed global survey of the planet’s surface water.
  • That is a drop in the data bucket compared with the space agency’s $1.5 billion Nisar radar imaging satellite, which is scheduled for launch in January 2023. Its sensors will detect movements of the planet’s land, ice sheets and sea ice as small as 0.4 inches, transmitting 80 terabytes of data every day.
  • With current data handling systems and typical internet connections, it would take a climate researcher about a year to download just four days’ worth of Nisar dat
  • NASA and NOAA are working with Amazon Web Services, Google Cloud and Microsoft Corp. to move their climate databases into the cloud.
  • Earlier this year, the United Nations Intergovernmental Panel on Climate Change for the first time used data on past climate behavior to gauge the reliability of climate models for policy makers.
peterconnelly

Why pilots are seeing UFOs | CNN - 0 views

www.cnn.com/...index.html

ufos cnn

shared by peterconnelly on 04 Jun 22 - No Cached
  • For centuries, people have witnessed unexplained lights in the sky and thought that perhaps they might be ghosts or angels. However, it was in the summer of 1947 when a different explanation became popular. Following a widely reported incident over Mt. Rainier in Washington state, people began to believe that these unidentified flying objects (UFOs) are actually alien spacecraft prowling the Earth.
  • Over the past 70 years, more than ten thousand similar reports have been made.
  • Some accounts simply arose from nothing more than the fevered imaginations of UFO enthusiasts.
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  • In 2004, Navy fighter jet pilots operating from the USS Nimitz aircraft carrier reported seeing UFOs off the coast of San Diego. And, more recently, other military pilots flying with the USS Theodore Roosevelt in the Atlantic made similar claims. The news of those accounts became public knowledge from a story in the New York Times and a new miniseries on the History Channel.
  • The problem is that many people jump directly from the “unidentified” in “UFO” to “flying saucer.” And that’s just too large a jump to be reasonable. There is simply no credible evidence that the Earth is being visited by aliens. There are no artifacts, no clear photographs, no captured aliens, no alien bodies – nothing.
  • An eyewitness can be an unreliable source of information and, in the case of something as extraordinary as the observation of alien spacecraft, pedestrian evidence simply won’t do. As Carl Sagan often said, extraordinary claims require extraordinary evidence.
  • Even though there were multiple observations of multiple phenomena, what is missing is multiple reports of the same phenomenon. It would be hasty to link these independent observations together.
  • But I’m going to need much better evidence than what we have so far. In the meantime, let’s keep an eye on these reports. You know… just in case.
Javier E

The herd mentality is all around us - 0 views

messaging-custom-newsletters.nytimes.com/...oakv2

differences diversity language behavior norms herd mentality

shared by Javier E on 20 Aug 22 - No Cached
  • “Personal space” and the idea of being left alone with one’s thoughts can almost be seen as modern add-ons to what humanity is like, and perhaps more typical of WEIRD (Western, educated, industrialized, rich and democratic) societies than others
  • WEIRD-ness being the coinage of Joseph Henrich, an anthropologist at Harvard and the author of “The WEIRDest People in the World: How the West Became Psychologically Peculiar and Particularly Prosperous.” Reviewing the book for The Times, the Tufts University philosophy professor Daniel Dennett described Henrich’s concept thusly:The world today has billions of inhabitants who have minds strikingly different from ours. Roughly, we weirdos are individualistic, think analytically, believe in free will, take personal responsibility, feel guilt when we misbehave and think nepotism is to be vigorously discouraged, if not outlawed.
  • They (the non-WEIRD majority) identify more strongly with family, tribe, clan and ethnic group, think more “holistically,” take responsibility for what their group does (and publicly punish those who besmirch the group’s honor), feel shame — not guilt — when they misbehave and think nepotism is a natural duty.
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  • There are signs that at the same time, so many other people are seeking to countenance diversity of thought, disavowing the comforts of the idea that their view is the only legitimate one and fostering an ideal under which our society frames difference of opinion as a norm rather than a threat. We can see it in aspects of linguistic behavio
  • To us WEIRD-os, by contrast, the ever-stronger purchase of individualism in our intellectual, moral and civic development seems natural. But it’s challenging, perhaps unnatural, to be an individual.
  • That realization makes less shocking to me, albeit utterly dismaying, the many dogmatic behaviors exhibited today that seem outwardly irrational or close to it. The kinds of things that make it seem as if so many of us are, so to speak, losing it are actually signs of how difficult it can be to get past what we seem to be hard-wired for. Fanatic beliefs, furious ideologies and even, potentially, a sense of duty to harm people in the name of certain beliefs reflect the eternal temptation of a sense of belonging to a group, of being part of a larger story, of having a guiding sense of purpose.
  • Casual American English, in ways we’re not always conscious of, is more overt in allowing room for disagreement than it used to be. For example, the use of “like” that so bothers purists is in reality a useful discursive hedge, along with phrases such as “sort of,” “kind of” and “you know.” In conversation, these expressions can be read as subtle indications that someone knows that there are other ways to view things, and to be too categorical is to imply a certainty that all may not share.
  • Moral Courage College, an alternative to the D.E.I. ritual, a program offering training in how to productively grapple with the wide range of views and experiences found in most workplaces, as well as colleges, universities and even K-12 schools
  • a method called Diversity Without Division. “This program doesn’t tell anybody what to think or believe,” she has said, “it teaches everybody to lower their emotional defenses so that contentious issues can be turned into constructive conversations and healthy teamwork.”
  • Courage is allowing that your own view may be but one legitimate one among many, that there are no easy answers, and that being your own self is a more gracious existence than joining a herd.
Javier E

Cognitive Biases and the Human Brain - The Atlantic - 1 views

www.theatlantic.com/...565775

cognitive bias psychology research knowledge bias

shared by Javier E on 28 Mar 21 - No Cached
  • Present bias shows up not just in experiments, of course, but in the real world. Especially in the United States, people egregiously undersave for retirement—even when they make enough money to not spend their whole paycheck on expenses, and even when they work for a company that will kick in additional funds to retirement plans when they contribute.
  • hen people hear the word bias, many if not most will think of either racial prejudice or news organizations that slant their coverage to favor one political position over another. Present bias, by contrast, is an example of cognitive bias—the collection of faulty ways of thinking that is apparently hardwired into the human brain. The collection is large. Wikipedia’s “List of cognitive biases” contains 185 entries, from actor-observer bias (“the tendency for explanations of other individuals’ behaviors to overemphasize the influence of their personality and underemphasize the influence of their situation … and for explanations of one’s own behaviors to do the opposite”) to the Zeigarnik effect (“uncompleted or interrupted tasks are remembered better than completed ones”)
  • If I had to single out a particular bias as the most pervasive and damaging, it would probably be confirmation bias. That’s the effect that leads us to look for evidence confirming what we already think or suspect, to view facts and ideas we encounter as further confirmation, and to discount or ignore any piece of evidence that seems to support an alternate view
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  • Confirmation bias shows up most blatantly in our current political divide, where each side seems unable to allow that the other side is right about anything.
  • The whole idea of cognitive biases and faulty heuristics—the shortcuts and rules of thumb by which we make judgments and predictions—was more or less invented in the 1970s by Amos Tversky and Daniel Kahneman
  • versky died in 1996. Kahneman won the 2002 Nobel Prize in Economics for the work the two men did together, which he summarized in his 2011 best seller, Thinking, Fast and Slow. Another best seller, last year’s The Undoing Project, by Michael Lewis, tells the story of the sometimes contentious collaboration between Tversky and Kahneman
  • Another key figure in the field is the University of Chicago economist Richard Thaler. One of the biases he’s most linked with is the endowment effect, which leads us to place an irrationally high value on our possessions.
  • In an experiment conducted by Thaler, Kahneman, and Jack L. Knetsch, half the participants were given a mug and then asked how much they would sell it for. The average answer was $5.78. The rest of the group said they would spend, on average, $2.21 for the same mug. This flew in the face of classic economic theory, which says that at a given time and among a certain population, an item has a market value that does not depend on whether one owns it or not. Thaler won the 2017 Nobel Prize in Economics.
  • “The question that is most often asked about cognitive illusions is whether they can be overcome. The message … is not encouraging.”
  • that’s not so easy in the real world, when we’re dealing with people and situations rather than lines. “Unfortunately, this sensible procedure is least likely to be applied when it is needed most,” Kahneman writes. “We would all like to have a warning bell that rings loudly whenever we are about to make a serious error, but no such bell is available.”
  • At least with the optical illusion, our slow-thinking, analytic mind—what Kahneman calls System 2—will recognize a Müller-Lyer situation and convince itself not to trust the fast-twitch System 1’s perception
  • Kahneman and others draw an analogy based on an understanding of the Müller-Lyer illusion, two parallel lines with arrows at each end. One line’s arrows point in; the other line’s arrows point out. Because of the direction of the arrows, the latter line appears shorter than the former, but in fact the two lines are the same length.
  • Because biases appear to be so hardwired and inalterable, most of the attention paid to countering them hasn’t dealt with the problematic thoughts, judgments, or predictions themselves
  • Is it really impossible, however, to shed or significantly mitigate one’s biases? Some studies have tentatively answered that question in the affirmative.
  • what if the person undergoing the de-biasing strategies was highly motivated and self-selected? In other words, what if it was me?
  • Over an apple pastry and tea with milk, he told me, “Temperament has a lot to do with my position. You won’t find anyone more pessimistic than I am.”
  • I met with Kahneman
  • “I see the picture as unequal lines,” he said. “The goal is not to trust what I think I see. To understand that I shouldn’t believe my lying eyes.” That’s doable with the optical illusion, he said, but extremely difficult with real-world cognitive biases.
  • In this context, his pessimism relates, first, to the impossibility of effecting any changes to System 1—the quick-thinking part of our brain and the one that makes mistaken judgments tantamount to the Müller-Lyer line illusion
  • he most effective check against them, as Kahneman says, is from the outside: Others can perceive our errors more readily than we can.
  • “slow-thinking organizations,” as he puts it, can institute policies that include the monitoring of individual decisions and predictions. They can also require procedures such as checklists and “premortems,”
  • A premortem attempts to counter optimism bias by requiring team members to imagine that a project has gone very, very badly and write a sentence or two describing how that happened. Conducting this exercise, it turns out, helps people think ahead.
  • “My position is that none of these things have any effect on System 1,” Kahneman said. “You can’t improve intuition.
  • Perhaps, with very long-term training, lots of talk, and exposure to behavioral economics, what you can do is cue reasoning, so you can engage System 2 to follow rules. Unfortunately, the world doesn’t provide cues. And for most people, in the heat of argument the rules go out the window.
  • Kahneman describes an even earlier Nisbett article that showed subjects’ disinclination to believe statistical and other general evidence, basing their judgments instead on individual examples and vivid anecdotes. (This bias is known as base-rate neglect.)
  • over the years, Nisbett had come to emphasize in his research and thinking the possibility of training people to overcome or avoid a number of pitfalls, including base-rate neglect, fundamental attribution error, and the sunk-cost fallacy.
  • Nisbett’s second-favorite example is that economists, who have absorbed the lessons of the sunk-cost fallacy, routinely walk out of bad movies and leave bad restaurant meals uneaten.
  • When Nisbett asks the same question of students who have completed the statistics course, about 70 percent give the right answer. He believes this result shows, pace Kahneman, that the law of large numbers can be absorbed into System 2—and maybe into System 1 as well, even when there are minimal cues.
  • about half give the right answer: the law of large numbers, which holds that outlier results are much more frequent when the sample size (at bats, in this case) is small. Over the course of the season, as the number of at bats increases, regression to the mean is inevitabl
  • When Nisbett has to give an example of his approach, he usually brings up the baseball-phenom survey. This involved telephoning University of Michigan students on the pretense of conducting a poll about sports, and asking them why there are always several Major League batters with .450 batting averages early in a season, yet no player has ever finished a season with an average that high.
  • we’ve tested Michigan students over four years, and they show a huge increase in ability to solve problems. Graduate students in psychology also show a huge gain.”
  • , “I know from my own research on teaching people how to reason statistically that just a few examples in two or three domains are sufficient to improve people’s reasoning for an indefinitely large number of events.”
  • isbett suggested another factor: “You and Amos specialized in hard problems for which you were drawn to the wrong answer. I began to study easy problems, which you guys would never get wrong but untutored people routinely do … Then you can look at the effects of instruction on such easy problems, which turn out to be huge.”
  • Nisbett suggested that I take “Mindware: Critical Thinking for the Information Age,” an online Coursera course in which he goes over what he considers the most effective de-biasing skills and concepts. Then, to see how much I had learned, I would take a survey he gives to Michigan undergraduates. So I did.
  • he course consists of eight lessons by Nisbett—who comes across on-screen as the authoritative but approachable psych professor we all would like to have had—interspersed with some graphics and quizzes. I recommend it. He explains the availability heuristic this way: “People are surprised that suicides outnumber homicides, and drownings outnumber deaths by fire. People always think crime is increasing” even if it’s not.
  • When I finished the course, Nisbett sent me the survey he and colleagues administer to Michigan undergrads
  • It contains a few dozen problems meant to measure the subjects’ resistance to cognitive biases
  • I got it right. Indeed, when I emailed my completed test, Nisbett replied, “My guess is that very few if any UM seniors did as well as you. I’m sure at least some psych students, at least after 2 years in school, did as well. But note that you came fairly close to a perfect score.”
  • Nevertheless, I did not feel that reading Mindware and taking the Coursera course had necessarily rid me of my biases
  • For his part, Nisbett insisted that the results were meaningful. “If you’re doing better in a testing context,” he told me, “you’ll jolly well be doing better in the real world.”
  • The New York–based NeuroLeadership Institute offers organizations and individuals a variety of training sessions, webinars, and conferences that promise, among other things, to use brain science to teach participants to counter bias. This year’s two-day summit will be held in New York next month; for $2,845, you could learn, for example, “why are our brains so bad at thinking about the future, and how do we do it better?”
  • Philip E. Tetlock, a professor at the University of Pennsylvania’s Wharton School, and his wife and research partner, Barbara Mellers, have for years been studying what they call “superforecasters”: people who manage to sidestep cognitive biases and predict future events with far more accuracy than the pundits
  • One of the most important ingredients is what Tetlock calls “the outside view.” The inside view is a product of fundamental attribution error, base-rate neglect, and other biases that are constantly cajoling us into resting our judgments and predictions on good or vivid stories instead of on data and statistics
  • In 2006, seeking to prevent another mistake of that magnitude, the U.S. government created the Intelligence Advanced Research Projects Activity (iarpa), an agency designed to use cutting-edge research and technology to improve intelligence-gathering and analysis. In 2011, iarpa initiated a program, Sirius, to fund the development of “serious” video games that could combat or mitigate what were deemed to be the six most damaging biases: confirmation bias, fundamental attribution error, the bias blind spot (the feeling that one is less biased than the average person), the anchoring effect, the representativeness heuristic, and projection bias (the assumption that everybody else’s thinking is the same as one’s own).
  • most promising are a handful of video games. Their genesis was in the Iraq War
  • Together with collaborators who included staff from Creative Technologies, a company specializing in games and other simulations, and Leidos, a defense, intelligence, and health research company that does a lot of government work, Morewedge devised Missing. Some subjects played the game, which takes about three hours to complete, while others watched a video about cognitive bias. All were tested on bias-mitigation skills before the training, immediately afterward, and then finally after eight to 12 weeks had passed.
  • “The literature on training suggests books and classes are fine entertainment but largely ineffectual. But the game has very large effects. It surprised everyone.”
  • he said he saw the results as supporting the research and insights of Richard Nisbett. “Nisbett’s work was largely written off by the field, the assumption being that training can’t reduce bias,
  • even the positive results reminded me of something Daniel Kahneman had told me. “Pencil-and-paper doesn’t convince me,” he said. “A test can be given even a couple of years later. But the test cues the test-taker. It reminds him what it’s all about.”
  • Morewedge told me that some tentative real-world scenarios along the lines of Missing have shown “promising results,” but that it’s too soon to talk about them.
  • In the future, I will monitor my thoughts and reactions as best I can
Javier E

'Oppenheimer,' 'The Maniac' and Our Terrifying Prometheus Moment - The New York Times - 0 views

www.nytimes.com/...hn-von-neumann-prometheus.html

progress value-neutral science modernity AI nuclear power prometheus knowledge overreach tech research

shared by Javier E on 21 Oct 23 - No Cached
  • Prometheus was the Titan who stole fire from the gods of Olympus and gave it to human beings, setting us on a path of glory and disaster and incurring the jealous wrath of Zeus. In the modern world, especially since the beginning of the Industrial Revolution, he has served as a symbol of progress and peril, an avatar of both the liberating power of knowledge and the dangers of technological overreach.
  • More than 200 years after the Shelleys, Prometheus is having another moment, one closer in spirit to Mary’s terrifying ambivalence than to Percy’s fulsome gratitude. As technological optimism curdles in the face of cyber-capitalist villainy, climate disaster and what even some of its proponents warn is the existential threat of A.I., that ancient fire looks less like an ember of divine ingenuity than the start of a conflagration. Prometheus is what we call our capacity for self-destruction.
  • Annie Dorsen’s theater piece “Prometheus Firebringer,” which was performed at Theater for a New Audience in September, updates the Greek myth for the age of artificial intelligence, using A.I. to weave a cautionary tale that my colleague Laura Collins-Hughes called “forcefully beneficial as an examination of our obeisance to technology.”
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  • Something similar might be said about “The Maniac,” Benjamín Labatut’s new novel, whose designated Prometheus is the Hungarian-born polymath John von Neumann, a pioneer of A.I. as well as an originator of game theory.
  • both narratives are grounded in fact, using the lives and ideas of real people as fodder for allegory and attempting to write a new mythology of the modern world.
  • Oppenheimer wasn’t a principal author of that theory. Those scientists, among them Niels Bohr, Erwin Schrödinger and Werner Heisenberg, were characters in Labatut’s previous novel, “When We Cease to Understand the World.” That book provides harrowing illumination of a zone where scientific insight becomes indistinguishable from madness or, perhaps, divine inspiration. The basic truths of the new science seem to explode all common sense: A particle is also a wave; one thing can be in many places at once; “scientific method and its object could no longer be prised apart.”
  • More than most intellectual bastions, the institute is a house of theory. The Promethean mad scientists of the 19th century were creatures of the laboratory, tinkering away at their infernal machines and homemade monsters. Their 20th-century counterparts were more likely to be found at the chalkboard, scratching out our future in charts, equations and lines of code.
  • The consequences are real enough, of course. The bombs dropped on Hiroshima and Nagasaki killed at least 100,000 people. Their successor weapons, which Oppenheimer opposed, threatened to kill everybody els
  • on Neumann and Oppenheimer were close contemporaries, born a year apart to prosperous, assimilated Jewish families in Budapest and New York. Von Neumann, conversant in theoretical physics, mathematics and analytic philosophy, worked for Oppenheimer at Los Alamos during the Manhattan Project. He spent most of his career at the Institute for Advanced Study, where Oppenheimer served as director after the war.
  • the intellectual drama of “Oppenheimer” — as distinct from the dramas of his personal life and his political fate — is about how abstraction becomes reality. The atomic bomb may be, for the soldiers and politicians, a powerful strategic tool in war and diplomacy. For the scientists, it’s something else: a proof of concept, a concrete manifestation of quantum theory.
  • . Oppenheimer’s designation as Prometheus is precise. He snatched a spark of quantum insight from those divinities and handed it to Harry S. Truman and the U.S. Army Air Forces.
  • Labatut’s account of von Neumann is, if anything, more unsettling than “Oppenheimer.” We had decades to get used to the specter of nuclear annihilation, and since the end of the Cold War it has been overshadowed by other terrors. A.I., on the other hand, seems newly sprung from science fiction, and especially terrifying because we can’t quite grasp what it will become.
  • Von Neumann, who died in 1957, did not teach machines to play Go. But when asked “what it would take for a computer, or some other mechanical entity, to begin to think and behave like a human being,” he replied that “it would have to play, like a child.”
  • MANIAC. The name was an acronym for “Mathematical Analyzer, Numerical Integrator and Computer,” which doesn’t sound like much of a threat. But von Neumann saw no limit to its potential. “If you tell me precisely what it is a machine cannot do,” he declared, “then I can always make a machine which will do just that.” MANIAC didn’t just represent a powerful new kind of machine, but “a new type of life.”
  • If Oppenheimer took hold of the sacred fire of atomic power, von Neumann’s theft was bolder and perhaps more insidious: He stole a piece of the human essence. He’s not only a modern Prometheus; he’s a second Frankenstein, creator of an all but human, potentially more than human monster.
  • “Technological power as such is always an ambivalent achievement,” Labatut’s von Neumann writes toward the end of his life, “and science is neutral all through, providing only means of control applicable to any purpose, and indifferent to all. It is not the particularly perverse destructiveness of one specific invention that creates danger. The danger is intrinsic. For progress there is no cure.”
Javier E

A Psychiatrist Tried to Quit Gambling. Betting Apps Kept Her Hooked. - WSJ - 0 views

www.wsj.com/...n-sports-betting-apps-4463cde0

psychiatrist gambling betting apps addiction tech psychology brain science technology

shared by Javier E on 19 Feb 24 - No Cached
  • Yet she was up against an industry skilled in the art of leveraging data analytics and human behavior to keep customers betting. Gambling companies tracked the ups and downs of Fischer’s betting behavior and gave bonus credits to keep her playing. VIP customer representatives offered encouragement and gifts.
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