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Javier E

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

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

Google's Relationship With Facts Is Getting Wobblier - The Atlantic - 0 views

  • Misinformation or even disinformation in search results was already a problem before generative AI. Back in 2017, The Outline noted that a snippet once confidently asserted that Barack Obama was the king of America.
  • This is what experts have worried about since ChatGPT first launched: false information confidently presented as fact, without any indication that it could be totally wrong. The problem is “the way things are presented to the user, which is Here’s the answer,” Chirag Shah, a professor of information and computer science at the University of Washington, told me. “You don’t need to follow the sources. We’re just going to give you the snippet that would answer your question. But what if that snippet is taken out of context?”
  • Responding to the notion that Google is incentivized to prevent users from navigating away, he added that “we have no desire to keep people on Google.
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  • Pandu Nayak, a vice president for search who leads the company’s search-quality teams, told me that snippets are designed to be helpful to the user, to surface relevant and high-caliber results. He argued that they are “usually an invitation to learn more” about a subject
  • “It’s a strange world where these massive companies think they’re just going to slap this generative slop at the top of search results and expect that they’re going to maintain quality of the experience,” Nicholas Diakopoulos, a professor of communication studies and computer science at Northwestern University, told me. “I’ve caught myself starting to read the generative results, and then I stop myself halfway through. I’m like, Wait, Nick. You can’t trust this.”
  • Nayak said the team focuses on the bigger underlying problem, and whether its algorithm can be trained to address it.
  • If Nayak is right, and people do still follow links even when presented with a snippet, anyone who wants to gain clicks or money through search has an incentive to capitalize on that—perhaps even by flooding the zone with AI-written content.
  • Nayak told me that Google plans to fight AI-generated spam as aggressively as it fights regular spam, and claimed that the company keeps about 99 percent of spam out of search results.
  • The result is a world that feels more confused, not less, as a result of new technology.
  • The Kenya result still pops up on Google, despite viral posts about it. This is a strategic choice, not an error. If a snippet violates Google policy (for example, if it includes hate speech) the company manually intervenes and suppresses it, Nayak said. However, if the snippet is untrue but doesn’t violate any policy or cause harm, the company will not intervene.
  • experts I spoke with had several ideas for how tech companies might mitigate the potential harms of relying on AI in search
  • For starters, tech companies could become more transparent about generative AI. Diakopoulos suggested that they could publish information about the quality of facts provided when people ask questions about important topics
  • They can use a coding technique known as “retrieval-augmented generation,” or RAG, which instructs the bot to cross-check its answer with what is published elsewhere, essentially helping it self-fact-check. (A spokesperson for Google said the company uses similar techniques to improve its output.) They could open up their tools to researchers to stress-test it. Or they could add more human oversight to their outputs, maybe investing in fact-checking efforts.
  • Fact-checking, however, is a fraught proposition. In January, Google’s parent company, Alphabet, laid off roughly 6 percent of its workers, and last month, the company cut at least 40 jobs in its Google News division. This is the team that, in the past, has worked with professional fact-checking organizations to add fact-checks into search results
  • Alex Heath, at The Verge, reported that top leaders were among those laid off, and Google declined to give me more information. It certainly suggests that Google is not investing more in its fact-checking partnerships as it builds its generative-AI tool.
  • Nayak acknowledged how daunting a task human-based fact-checking is for a platform of Google’s extraordinary scale. Fifteen percent of daily searches are ones the search engine hasn’t seen before, Nayak told me. “With this kind of scale and this kind of novelty, there’s no sense in which we can manually curate results.”
  • Creating an infinite, largely automated, and still accurate encyclopedia seems impossible. And yet that seems to be the strategic direction Google is taking.
  • A representative for Google told me that this was an example of a “false premise” search, a type that is known to trip up the algorithm. If she were trying to date me, she argued, she wouldn’t just stop at the AI-generated response given by the search engine, but would click the link to fact-check it.
Javier E

Economics of Good and Evil: The Quest for Economic Meaning from Gilgamesh to Wall Stree... - 1 views

  • Instead of self-confident and self-centered answers, the author humbly asks fundamental questions: What is economics? What is its meaning? Where does this new religion, as it is sometimes called, come from? What are its possibilities and its limitations and borders, if there are any? Why are we so dependent on permanent growing of growth and growth of growing of growth? Where did the idea of progress come from, and where is it leading us? Why are so many economic debates accompanied by obsession and fanaticism?
  • The majority of our political parties act with a narrow materialistic focus when, in their programs, they present the economy and finance first; only then, somewhere at the end, do we find culture as something pasted on or as a libation for a couple of madmen.
  • most of them—consciously or unconsciously—accept and spread the Marxist thesis of the economic base and the spiritual superstructure.
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  • He tries to break free of narrow specialization and cross the boundaries between scientific disciplines. Expeditions beyond economics’ borders and its connection to history, philosophy, psychology, and ancient myths are not only refreshing, but necessary for understanding the world of the twenty-first century.
  • Reality is spun from stories, not from material. Zdeněk Neubauer
  • Before it was emancipated as a field, economics lived happily within subsets of philosophy—ethics, for example—miles away from today’s concept of economics as a mathematical-allocative science that views “soft sciences” with a scorn born from positivistic arrogance. But our thousand-year “education” is built on a deeper, broader, and oftentimes more solid base. It is worth knowing about.
  • Outside of our history, we have nothing more.
  • The study of the history of a certain field is not, as is commonly held, a useless display of its blind alleys or a collection of the field’s trials and errors (until we got it right), but history is the fullest possible scope of study of a menu that the given field can offer.
  • History of thought helps us to get rid of the intellectual brainwashing of the age, to see through the intellectual fashion of the day, and to take a couple of steps back.
  • “The separation between the history of a science, its philosophy, and the science itself dissolves into thin air, and so does the separation between science and non-science; differences between the scientific and unscientific are vanishing.”
  • we seek to chart the development of the economic ethos. We ask questions that come before any economic thinking can begin—both philosophically and, to a degree, historically. The area here lies at the very borders of economics—and often beyond. We may refer to this as protoeconomics (to borrow a term from protosociology) or, perhaps more fittingly, metaeconomics (to borrow a term from metaphysics).
  • stories; Adam Smith believed. As he puts it in The Theory of Moral Sentiments, “the desire of being believed, or the desire of persuading, of leading and directing other people, seems to be one of the strongest of all our natural desires.”
  • “The human mind is built to think in terms of narratives … in turn, much of human motivation comes from living through a story of our lives, a story that we tell to ourselves and that creates a framework of our motivation. Life could be just ‘one damn thing after another’ if it weren’t for such stories. The same is true for confidence in a nation, a company, or an institution. Great leaders are foremost creators of stories.”
  • contrary to what our textbooks say, economics is predominantly a normative field. Economics not only describes the world but is frequently about how the world should be (it should be effective, we have an ideal of perfect competition, an ideal of high-GDP growth in low inflation, the effort to achieve high competitiveness …). To this end, we create models, modern parables,
  • I will try to show that mathematics, models, equations, and statistics are just the tip of the iceberg of economics; that the biggest part of the iceberg of economic knowledge consists of everything else; and that disputes in economics are rather a battle of stories and various metanarratives than anything else.
  • That is the reason for this book: to look for economic thought in ancient myths and, vice versa, to look for myths in today’s economics.
  • is a paradox that a field that primarily studies values wants to be value-free. One more paradox is this: A field that believes in the invisible hand of the market wants to be without mysteries.
  • Almost all of the key concepts by which economics operates, both consciously and unconsciously, have a long history, and their roots extend predominantly outside the range of economics, and often completely beyond that of science.
  • The History of Animal Spirits: Dreams Never Sleep
  • In this sense, “the study of economics is too narrow and too fragmentary to lead to valid insight, unless complemented and completed by a study of metaeconomics.”17
  • The more important elements of a culture or field of inquiry such as economics are found in fundamental assumptions that adherents of all the various systems within the epoch unconsciously presuppose. Such assumptions appear so obvious that people do not know what they are assuming, because no other way of putting things has ever occurred to them, as the philosopher Alfred Whitehead notes in Adventures of Ideas.
  • I argue that economic questions were with mankind long before Adam Smith. I argue that the search for values in economics did not start with Adam Smith but culminated with him.
  • We should go beyond economics and study what beliefs are “behind the scenes,” ideas that have often become the dominant yet unspoken assumptions in our theories. Economics is surprisingly full of tautologies that economists are predominantly unaware of. I
  • argue that economics should seek, discover, and talk about its own values, although we have been taught that economics is a value-free science. I argue that none of this is true and that there is more religion, myth, and archetype in economics than there is mathematics.
  • In a way, this is a study of the evolution of both homo economicus and, more importantly, the history of the animal spirits within him. This book tries to study the evolution of the rational as well as the emotional and irrational side of human beings.
  • I argue that his most influential contribution to economics was ethical. His other thoughts had been clearly expressed long before him, whether on specialization, or on the principle of the invisible hand of the market. I try to show that the principle of the invisible hand of the market is much more ancient and developed long before Adam Smith. Traces of it appear even in the Epic of Gilgamesh, Hebrew thought, and in Christianity, and it is expressly stated by Aristophanes and Thomas Aquinas.
  • This is not a book on the thorough history of economic thought. The author aims instead to supplement certain chapters on the history of economic thought with a broader perspective and analysis of the influences that often escape the notice of economists and the wider public.
  • Progress (Naturalness and Civilization)
  • The Economy of Good and Evil
  • from his beginnings, man has been marked as a naturally unnatural creature, who for unique reasons surrounds himself with external possessions. Insatiability, both material and spiritual, are basic human metacharacteristics, which appear as early as the oldest myths and stories.
  • the Hebrews, with linear time, and later the Christians gave us the ideal (or amplified the Hebrew ideal) we now embrace. Then the classical economists secularized progress. How did we come to today’s progression of progress, and growth for growth’s sake?
  • The Need for Greed: The History of Consumption and Labor
  • Metamathematics From where did economics get the concept of numbers as the very foundation of the world?
  • mathematics at the core of economics, or is it just the icing of the cake, the tip of the iceberg of our field’s inquiry?
  • idea that we can manage to utilize our natural egoism, and that this evil is good for something, is an ancient philosophical and mythical concept. We will also look into the development of the ethos of homo economicus, the birth of “economic man.”
  • All of economics is, in the end, economics of good and evil. It is the telling of stories by people of people to people. Even the most sophisticated mathematical model is, de facto, a story, a parable, our effort to (rationally) grasp the world around us.
  • Masters of the Truth
  • Originally, truth was a domain of poems and stories, but today we perceive truth as something much more scientific, mathematical. Where does one go (to shop) for the truth? And who “has the truth” in our epoch?
  • Our animal spirits (something of a counterpart to rationality) are influenced by the archetype of the hero and our concept of what is good.
  • The entire history of ethics has been ruled by an effort to create a formula for the ethical rules of behavior. In the final chapter we will show the tautology of Max Utility, and we will discuss the concept of Max Good.
  • The History of the Invisible Hand of the Market and Homo Economicus
  • We understand “economics” to mean a broader field than just the production, distribution, and consumption of goods and services. We consider economics to be the study of human relations that are sometimes expressible in numbers, a study that deals with tradables, but one that also deals with nontradables (friendship, freedom, efficiency, growth).
  • When we mention economics in this book, we mean the mainstream perception of it, perhaps as best represented by Paul Samuelson.
  • By the term homo economicus, we mean the primary concept of economic anthropology. It comes from the concept of a rational individual, who, led by narrowly egotistical motives, sets out to maximize his benefit.
  • the Epic of Gilgamesh bears witness to the opposite—despite the fact that the first written clay fragments (such as notes and bookkeeping) of our ancestors may have been about business and war, the first written story is mainly about great friendship and adventure.
  • there is no mention of either money or war; for example, not once does anyone in the whole epic sell or purchase something.5 No nation conquers another, and we do not encounter a mention even of the threat of violence.
  • is a story of nature and civilization, of heroism, defiance, and the battle against the gods, and evil; an epic about wisdom, immortality, and also futility.
  • Gilgamesh becomes a hero not only due to his strength, but also due to discoveries and deeds whose importance were in large part economic—direct gaining of construction materials in the case of felling the cedar forest, stopping Enkidu from devastating Uruk’s economy, and discovering new desert routes during his expeditions.
  • Even today, we often consider the domain of humanity (human relations, love, friendship, beauty, art, etc.) to be unproductive;
  • Even today we live in Gilgamesh’s vision that human relations—and therefore humanity itself—are a disturbance to work and efficiency; that people would perform better if they did not “waste” their time and energy on nonproductive things.
  • But it is in friendship where—often by-the-way, as a side product, an externality—ideas and deeds are frequently performed or created that together can altogether change the face of society.19 Friendship can go against an ingrained system in places where an individual does not have the courage to do so himself or herself.
  • As Joseph Stiglitz says, One of the great “tricks” (some say “insights”) of neoclassical economics is to treat labour like any other factor of production. Output is written as a function of inputs—steel, machines, and labour. The mathematics treats labour like any other commodity, lulling one into thinking of labour like an ordinary commodity, such as steel or plastic.
  • Even the earliest cultures were aware of the value of cooperation on the working level—today we call this collegiality, fellowship, or, if you want to use a desecrated term, comradeship. These “lesser relationships” are useful and necessary for society and for companies because work can be done much faster and more effectively if people get along with each other on a human level
  • But true friendship, which becomes one of the central themes of the Epic of Gilgamesh, comes from completely different material than teamwork. Friendship, as C. S. Lewis accurately describes it, is completely uneconomical, unbiological, unnecessary for civilization, and an unneeded relationship
  • Here we have a beautiful example of the power of friendship, one that knows how to transform (or break down) a system and change a person. Enkidu, sent to Gilgamesh as a punishment from the gods, in the end becomes his faithful friend, and together they set out against the gods. Gilgamesh would never have gathered the courage to do something like that on his own—nor would Enkidu.
  • Due to their friendship, Gilgamesh and Enkidu then intend to stand up to the gods themselves and turn a holy tree into mere (construction) material they can handle almost freely, thereby making it a part of the city-construct, part of the building material of civilization, thus “enslaving” that which originally was part of wild nature. This is a beautiful proto-example of the shifting of the borders between the sacred and profane (secular)—and to a certain extent also an early illustration of the idea that nature is there to provide cities and people with raw material and production resources.
  • started with Babylonians—rural nature becomes just a supplier of raw materials, resources (and humans the source of human resources). Nature is not the garden in which humans were created and placed, which they should care for and which they should reside in, but becomes a mere reservoir for natural (re)sources.
  • But labour is unlike any other commodity. The work environment is of no concern for steel; we do not care about steel’s well-being.16
  • Both heroes change—each from opposite poles—into humans. In this context, a psychological dimension to the story may be useful: “Enkidu (…) is Gilgamesh’s alter ego, the dark, animal side of his soul, the complement to his restless heart. When Gilgamesh found Enkidu, he changed from a hated tyrant into the protector of his city. (…)
  • To be human seems to be somewhere in between, or both of these two. We
  • this moment of rebirth from an animal to a human state, the world’s oldest preserved epic implicitly hints at something highly important. Here we see what early cultures considered the beginning of civilization. Here is depicted the difference between people and animals or, better, savages. Here the epic quietly describes birth, the awakening of a conscious, civilized human. We are witnesses to the emancipation of humanity from animals,
  • The entire history of culture is dominated by an effort to become as independent as possible from the whims of nature.39 The more developed a civilization is, the more an individual is protected from nature and natural influences and knows how to create around him a constant or controllable environment to his liking.
  • The price we pay for independence from the whims of nature is dependence on our societies and civilizations. The more sophisticated a given society is as a whole, the less its members are able to survive on their own as individuals, without society.
  • The epic captures one of the greatest leaps in the development of the division of labor. Uruk itself is one of the oldest cities of all, and in the epic it reflects a historic step forward in specialization—in the direction of a new social city arrangement. Because of the city wall, people in the city can devote themselves to things other than worrying about their own safety, and they can continue to specialize more deeply.
  • Human life in the city gains a new dimension and suddenly it seems more natural to take up issues going beyond the life span of an individual. “The city wall symbolizes as well as founds the permanence of the city as an institution which will remain forever and give its inhabitants the certainty of unlimited safety, allowing them to start investing with an outlook reaching far beyond the borders of individual life.
  • The wall around the city of Uruk is, among other things, a symbol of an internal distancing from nature, a symbol of revolts against submission to laws that do not come under the control of man and that man can at most discover and use to his benefit.
  • “The chief thing which the common-sense individual wants is not satisfactions for the wants he had, but more, and better wants.”47
  • If a consumer buys something, theoretically it should rid him of one of his needs—and the aggregate of things they need should be decreased by one item. In reality, though, the aggregate of “I want to have” expands together with the growing aggregate of “I have.”
  • can be said that Enkidu was therefore happy in his natural state, because all of his needs were satiated. On the other hand, with people, it appears that the more a person has, the more developed and richer, the greater the number of his needs (including the unsaturated ones).
  • the Old Testament, this relationship is perceived completely differently. Man (humanity) is created in nature, in a garden. Man was supposed to care for the Garden of Eden and live in harmony with nature and the animals. Soon after creation, man walks naked and is not ashamed, de facto the same as the animals. What is characteristic is that man dresses (the natural state of creation itself is not enough for him), and he (literally and figuratively) covers52 himself—in shame after the fall.53
  • Nature is where one goes to hunt, collect crops, or gather the harvest. It is perceived as the saturator of our needs and nothing more. One goes back to the city to sleep and be “human.” On the contrary, evil resides in nature. Humbaba lives in the cedar forest, which also happens to be the reason to completely eradicate it.
  • Symbolically, then, we can view the entire issue from the standpoint of the epic in the following way: Our nature is insufficient, bad, evil, and good (humane) occurs only after emancipation from nature (from naturalness), through culturing and education. Humanity is considered as being in civilization.
  • The city was frequently (at least in older Jewish writings) a symbol of sin, degeneration, and decadence—nonhumanity. The Hebrews were originally a nomadic nation, one that avoided cities. It is no accident that the first important city57 mentioned in the Bible is proud Babylon,58 which God later turns to dust.
  • is enough, for example, to read the Book of Revelation to see how the vision of paradise developed from the deep Old Testament period, when paradise was a garden. John describes his vision of heaven as a city—paradise is in New Jerusalem, a city where the dimensions of the walls(!) are described in detail, as are the golden streets and gates of pearl.
  • Hebrews later also chose a king (despite the unanimous opposition of God’s prophets) and settled in cities, where they eventually founded the Lord’s Tabernacle and built a temple for Him. The city of Jerusalem later gained an illustrious position in all of religion.
  • this time Christianity (as well as the influence of the Greeks) does not consider human naturalness to be an unambiguous good, and it does not have such an idyllic relationship to nature as the Old Testament prophets.
  • If a tendency toward good is not naturally endowed in people, it must be imputed from above through violence or at least the threat of violence.
  • If we were to look at human naturalness as a good, then collective social actions need a much weaker ruling hand. If people themselves have a natural tendency (propensity) toward good, this role does not have to be supplied by the state, ruler, or, if you wish, Leviathan.
  • How does this affect economics?
  • us return for the last time to the humanization of the wild Enkidu, which is a process we can perceive with a bit of imagination as the first seed of the principle of the market’s invisible hand, and therefore the parallels with one of the central schematics of economic thinking.
  • Sometimes it is better to “harness the devil to the plow” than to fight with him. Instead of summoning up enormous energy in the fight against evil, it is better to use its own energy to reach a goal we desire; setting up a mill on the turbulent river instead of futile efforts to remove the current. This is also how Saint Prokop approached it in one of the oldest Czech legends.
  • Enkidu caused damage and it was impossible to fight against him. But with the help of a trap, trick, this evil was transformed into something that greatly benefited civilization.
  • By culturing and “domesticating” Enkidu, humanity tamed the uncontrollable wild and chaotic evil
  • Enkidu devastated the doings (the external, outside-the-walls) of the city. But he was later harnessed and fights at the side of civilization against nature, naturalness, the natural state of things.
  • A similar motif appears a thousand years after the reversal, which is well known even to noneconomists as the central idea of economics: the invisible hand of the market.
  • A similar story (reforming something animally wild and uncultivated in civilizational achievement) is used by Thomas Aquinas in his teachings. Several centuries later, this idea is fully emancipated in the hands of Bernard Mandeville and his Fable of the Bees: or, Private Vices, Publick Benefits. The economic and political aspects of this idea are—often incorrectly—ascribed to Adam Smith.
  • Here the individual does not try anymore to maximize his goods or profits, but what is important is writing his name in human memory in the form of heroic acts or deeds.
  • immortality, one connected with letters and the cult of the word: A name and especially a written name survives the body.”77
  • After this disappointment, he comes to the edge of the sea, where the innkeeper Siduri lives. As tonic for his sorrow, she offers him the garden of bliss, a sort of hedonistic fortress of carpe diem, where a person comes to terms with his mortality and at least in the course of the end of his life maximizes earthly pleasures, or earthly utility.
  • In the second stage, after finding his friend Enkidu, Gilgamesh abandons the wall and sets out beyond the city to maximalize heroism. “In his (…) search of immortal life, Gilgamesh
  • The hero refuses hedonism in the sense of maximizing terrestrial pleasure and throws himself into things that will exceed his life. In the blink of an eye, the epic turns on its head the entire utility maximization role that mainstream economics has tirelessly tried to sew on people as a part of their nature.81
  • It is simpler to observe the main features of our civilization at a time when the picture was more readable—at a time when our civilization was just being born and was still “half-naked.” In other words, we have tried to dig down to the bedrock of our written civilization;
  • today remember Gilgamesh for his story of heroic friendship with Enkidu, not for his wall, which no longer reaches monumental heights.
  • the eleventh and final tablet, Gilgamesh again loses what he sought. Like Sisyphus, he misses his goal just before the climax
  • is there something from it that is valid today? Have we found in Gilgamesh certain archetypes that are in us to this day?
  • The very existence of questions similar to today’s economic ones can be considered as the first observation. The first written considerations of the people of that time were not so different from those today. In other words: The epic is understandable for us, and we can identify with it.
  • We have also been witnesses to the very beginnings of man’s culturing—a great drama based on a liberation and then a distancing from the natural state.
  • Let us take this as a memento in the direction of our restlessness, our inherited dissatisfaction and the volatility connected to it. Considering that they have lasted five thousand years and to this day we find ourselves in harmony with a certain feeling of futility, perhaps these characteristics are inherent in man.
  • Gilgamesh had a wall built that divided the city from wild nature and created a space for the first human culture. Nevertheless, “not even far-reaching works of civilization could satisfy human desire.”
  • Friendship shows us new, unsuspected adventures, gives us the opportunity to leave the wall and to become neither its builder nor its part—to not be another brick in the wall.
  • with the phenomenon of the creation of the city, we have seen how specialization and the accumulation of wealth was born, how holy nature was transformed into a secular supplier of resources, and also how humans’ individualistic ego was emancipated.
  • to change the system, to break down that which is standing and go on an expedition against the gods (to awaken, from naïveté to awakening) requires friendship.
  • For small acts (hunting together, work in a factory), small love is enough: Camaraderie. For great acts, however, great love is necessary, real love: Friendship. Friendship that eludes the economic understanding of quid pro quo. Friendship gives. One friend gives (fully) for the other. That is friendship for life and death,
  • The thought that humanity comes at the expense of efficiency is just as old as humanity itself—as we have shown, subjects without emotion are the ideal of many tyrants.
  • The epic later crashes this idea through the friendship of Gilgamesh and Enkidu. Friendship—the biologically least essential love, which at first sight appears to be unnecessary
  • less a civilized, city person is dependent on nature, the more he or she is dependent on the rest of society. Like Enkidu, we have exchanged nature for society; harmony with (incalculable) nature for harmony with (incalculable) man.
  • human nature good or evil? To this day these questions are key for economic policy: If we believe that man is evil in his nature, therefore that a person himself is dog eat dog (animal), then the hard hand of a ruler is called for. If we believe that people in and of themselves, in their nature, gravitate toward good, then it is possible to loosen up the reins and live in a society that is more laissez-faire.
  • For a concept of historical progress, for the undeification of heroes, rulers, and nature, mankind had to wait for the Hebrews.
  • Because nature is not undeified, it is beyond consideration to explore it, let alone intervene in it (unless a person was a two-thirds god like Gilgamesh). It
  • They practiced money lending, traded in many assets (…) and especially were engaged in the trading of shares on capital markets, worked in currency exchange and frequently figured as mediators in financial transactions (…), they functioned as bankers and participated in emissions of all possible forms.
  • As regards modern capitalism (as opposed to the ancient and medieval periods) … there are activities in it which are, in certain forms, inherently (and completely necessarily) present—both from an economic and legal standpoint.7
  • As early as the “dark” ages, the Jews commonly used economic tools that were in many ways ahead of their time and that later became key elements of the modern economy:
  • Gilgamesh’s story ends where it began. There is a consistency in this with Greek myths and fables: At the end of the story, no progress occurs, no essential historic change; the story is set in indefinite time, something of a temporal limbo.
  • Jews believe in historical progress, and that progress is in this world.
  • For a nation originally based on nomadism, where did this Jewish business ethos come from? And can the Hebrews truly be considered as the architects of the values that set the direction of our civilization’s economic thought?
  • Hebrew religiosity is therefore strongly connected with this world, not with any abstract world, and those who take pleasure in worldly possessions are not a priori doing anything wrong.
  • PROGRESS: A SECULARIZED RELIGION One of the things the writers of the Old Testament gave to mankind is the idea and notion of progress. The Old Testament stories have their development; they change the history of the Jewish nation and tie in to each other. The Jewish understanding of time is linear—it has a beginning and an end.
  • The observance of God’s Commandments in Judaism leads not to some ethereal other world, but to an abundance of material goods (Genesis 49:25–26, Leviticus 26:3–13, Deuteronomy 28:1–13) (…) There are no accusing fingers pointed at
  • There are no echoes of asceticism nor for the cleansing and spiritual effect of poverty. It is fitting therefore, that the founders of Judaism, the Patriarchs Abraham, Isaac and Jacob, were all wealthy men.12
  • about due to a linear understanding of history. If history has a beginning as well as an end, and they are not the same point, then exploration suddenly makes sense in areas where the fruits are borne only in the next generation.
  • What’s more, economic progress has almost become an assumption of modern functional societies. We expect growth. We take it automatically. Today, if nothing “new” happens, if GDP does not grow (we say it stagnates) for several quarters, we consider it an anomaly.
  • however, the idea of progress itself underwent major changes, and today we perceive it very differently. As opposed to the original spiritual conceptions, today we perceive progress almost exclusively in an economic or scientific-technological sense.
  • Because care for the soul has today been replaced by care for external things,
  • This is why we must constantly grow, because we (deep down and often implicitly) believe that we are headed toward an (economic) paradise on Earth.
  • Only since the period of scientific-technological revolution (and at a time when economics was born as an independent field) is material progress automatically assumed.
  • Jewish thought is the most grounded, most realistic school of thought of all those that have influenced our culture.17 An abstract world of ideas was unknown to the Jews. To this day it is still forbidden to even depict God, people, and animals in symbols, paintings, statues, and drawings.
  • economists have become key figures of great importance in our time (Kacířské eseje o filosofii dějin [Heretical Essays in the Philosophy of History]). They are expected to perform interpretations of reality, give prophetic services (macroeconomic forecasts), reshape reality (mitigate the impacts of the crisis, speed up growth), and, in the long run, provide leadership on the way to the Promised Land—paradise on Earth.
  • REALISM AND ANTIASCETICISM Aside from ideas of progress, the Hebrews brought another very fundamental contribution to our culture: The desacralization of heroes, nature, and rulers.
  • Voltaire writes: “It certain fact is, that in his public laws he [Moses] never so much as once made mention of a life to come, limiting all punishments and all rewards to the present life.”21
  • As opposed to Christianity, the concept of an extraterrestrial paradise or heaven was not developed much in Hebrew thought.19 The paradise of the Israelites—Eden—was originally placed on Earth at a given place in Mesopotamia20 and at a given time,
  • The Hebrews consider the world to be real—not just a shadow reflection of a better world somewhere in the cloud of ideas, something the usual interpretation of history ascribes to Plato. The soul does not struggle against the body and is not its prisoner, as Augustine would write later.
  • The land, the world, the body, and material reality are for Jews the paramount setting for divine history, the pinnacle of creation. This idea is the conditio sine qua non of the development of economics, something of an utterly earthly making,
  • The mythology of the hero-king was strongly developed in that period, which Claire Lalouette summarizes into these basic characteristics: Beauty (a perfect face, on which it is “pleasant to look upon,” but also “beauty,” expressed in the Egyptian word nefer, not only means aesthetics, but contains moral qualities as well),
  • THE HERO AND HIS UNDEIFICATION: THE DREAM NEVER SLEEPS The concept of the hero is more important than it might appear. It may be the remote origin of Keynes’s animal spirits, or the desire to follow a kind of internal archetype that a given individual accepts as his own and that society values.
  • This internal animator of ours, our internal mover, this dream, never sleeps and it influences our behavior—including economic behavior—more than we want to realize.
  • manliness and strength,28 knowledge and intelligence,29 wisdom and understanding, vigilance and performance, fame and renown (fame which overcomes enemies because “a thousand men would not be able to stand firmly in his presence”);30 the hero is a good shepherd (who takes care of his subordinates), is a copper-clad rampart, the shield of the land, and the defender of heroes.
  • Each of us probably has a sort of “hero within”—a kind of internal role-model, template, an example that we (knowingly or not) follow. It is very important what kind of archetype it is, because its role is dominantly irrational and changes depending on time and the given civilization.
  • The oldest was the so-called Trickster—a fraudster; then the culture bearer—Rabbit; the musclebound hero called Redhorn; and finally the most developed form of hero: the Twins.
  • the Egyptian ruler, just as the Sumerian, was partly a god, or the son of a god.31
  • Jacob defrauds his father Isaac and steals his brother Esau’s blessing of the firstborn. Moses murders an Egyptian. King David seduces the wife of his military commander and then has him killed. In his old age, King Solomon turns to pagan idols, and so on.
  • Anthropology knows several archetypes of heroes. The Polish-born American anthropologist Paul Radin examined the myths of North American Indians and, for example, in his most influential book, The Trickster, he describes their four basic archetypes of heroes.
  • The Torah’s heroes (if that term can be used at all) frequently make mistakes and their mistakes are carefully recorded in the Bible—maybe precisely so that none of them could be deified.32
  • We do not have to go far for examples. Noah gets so drunk he becomes a disgrace; Lot lets his own daughters seduce him in a similar state of drunkenness. Abraham lies and (repeatedly) tries to sell his wife as a concubine.
  • the Hebrew heroes correspond most to the Tricksters, the Culture Bearers, and the Twins. The divine muscleman, that dominant symbol we think of when we say hero, is absent here.
  • To a certain extent it can be said that the Hebrews—and later Christianity—added another archetype, the archetype of the heroic Sufferer.35 Job
  • Undeification, however, does not mean a call to pillage or desecration; man was put here to take care of nature (see the story of the Garden of Eden or the symbolism of the naming of the animals). This protection and care of nature is also related to the idea of progress
  • For the heroes who moved our civilization to where it is today, the heroic archetypes of the cunning trickster, culture bearer, and sufferer are rather more appropriate.
  • the Old Testament strongly emphasizes the undeification of nature.37 Nature is God’s creation, which speaks of divinity but is not the domain of moody gods
  • This is very important for democratic capitalism, because the Jewish heroic archetype lays the groundwork much better for the development of the later phenomenon of the hero, which better suits life as we know it today. “The heroes laid down their arms and set about trading to become wealthy.”
  • in an Old Testament context, the pharaoh was a mere man (whom one could disagree with, and who could be resisted!).
  • RULERS ARE MERE MEN In a similar historical context, the Old Testament teachings carried out a similar desacralization of rulers, the so-called bearers of economic policy.
  • Ultimately the entire idea of a political ruler stood against the Lord’s will, which is explicitly presented in the Torah. The Lord unequivocally preferred the judge as the highest form of rule—an
  • The needs of future generations will have to be considered; after all humankind are the guardians of God’s world. Waste of natural resources, whether privately owned or nationally owned is forbidden.”39
  • Politics lost its character of divine infallibility, and political issues were subject to questioning. Economic policy could become a subject of examination.
  • 44 God first creates with the word and then on individual days He divides light from darkness, water from dry land, day from night, and so forth—and He gives order to things.45 The world is created orderly— it is wisely, reasonably put together. The way of the world is put together at least partially46 decipherably by any other wise and reasonable being who honors rational rules.
  • which for the methodology of science and economics is very important because disorder and chaos are difficult to examine scientifically.43 Faith in some kind of rational and logical order in a system (society, the economy) is a silent assumption of any (economic) examination.
  • THE PRAISE OF ORDER AND WISDOM: MAN AS A PERFECTER OF CREATION The created world has an order of sorts, an order recognizable by us as people,
  • From the very beginning, when God distances Himself from the entire idea, there is an anticipation that there is nothing holy, let alone divine, in politics. Rulers make mistakes, and it is possible to subject them to tough criticism—which frequently occurs indiscriminately through the prophets in the Old Testament.
  • Hebrew culture laid the foundations for the scientific examination of the world.
  • Examining the world is therefore an absolutely legitimate activity, and one that is even requested by God—it is a kind of participation in the Creator’s work.51 Man is called on to understand himself and his surroundings and to use his knowledge for good.
  • I was there when he set heavens in place, when he marked out the horizon on the face of the deep (…) Then I was the craftsman at his side.47
  • There are more urgings to gain wisdom in the Old Testament. “Wisdom calls aloud in the street (…): ‘How long will you simple ones love your simple ways?’”49 Or several chapters later: “Wisdom is supreme; therefore get wisdom. Though it cost all you have, get understanding.”50
  • examination is not forbidden. The fact that order can be grasped by human reason is another unspoken assumption that serves as a cornerstone of any scientific examination.
  • then, my sons, listen to me; blessed are those who keep my ways (…) Blessed is the man who listens to me, watching daily at my doors, waiting at my doorway. For whoever finds me finds life and receives favor from the Lord.
  • the rational examination of nature has its roots, surprisingly, in religion.
  • The Lord brought me forth as the first of his works, before his deeds of old. I was appointed from eternity, from the beginning, before the world began. When there were no oceans, I was given birth, when there were no springs abounding with water, before the mountains were settled in place,
  • The Book of Proverbs emphasizes specifically several times that it was wisdom that was present at the creation of the world. Wisdom personified calls out:
  • The last act, final stroke of the brush of creation, naming of the animals—this act is given to a human, it is not done by God, as one would expect. Man was given the task of completing the act of creation that the Lord began:
  • MAN AS A FINISHER OF CREATION The creation of the world, as it is explained in Jewish teachings, is described in the Book of Genesis. Here God (i) creates, (ii) separates, and (iii) names [my emphasis]:
  • Naming is a symbolic expression. In Jewish culture (and also in our culture to this day), the right to name meant sovereign rights and belonged, for example, to explorers (new places), inventors (new principles), or parents (children)—that is, to those who were there at the genesis, at the origin. This right was handed over by God to mankind.
  • The Naming itself (the capital N is appropriate) traditionally belongs to the crowning act of the Creator and represents a kind of grand finale of creation, the last move of the brush to complete the picture—a signature of the master.
  • Without naming, reality does not exist; it is created together with language. Wittgenstein tightly names this in his tractatus—the limits of our language are the limits of our world.53
  • He invented (fictitiously and completely abstractly!) a framework that was generally accepted and soon “made into” reality. Marx invented similarly; he created the notion of class exploitation. Through his idea, the perception of history and reality was changed for a large part of the world for nearly an entire century.
  • Reality is not a given; it is not passive. Perceiving reality and “facts” requires man’s active participation. It is man who must take the last step, an act (and we
  • How does this relate to economics? Reality itself, our “objective” world, is cocreated, man himself participates in the creation; creation, which is somewhat constantly being re-created.
  • Our scientific models put the finishing touches on reality, because (1) they interpret, (2) they give phenomena a name, (3) they enable us to classify the world and phenomena according to logical forms, and (4) through these models we de facto perceive reality.
  • When man finds a new linguistic framework or analytical model, or stops using the old one, he molds or remolds reality. Models are only in our heads; they are not “in objective reality.” In this sense, Newton invented (not merely discovered!) gravity.
  • A real-ization act on our part represents the creation of a construct, the imputation of sense and order (which is beautifully expressed by the biblical act of naming, or categorization, sorting, ordering).
  • Keynes enters into the history of economic thought from the same intellectual cadence; his greatest contribution to economics was precisely the resurrection of the imperceptible—for example in the form of animal spirits or uncertainty. The economist Piero Mini even ascribes Keynes’s doubting and rebellious approach to his almost Talmudic education.63
  • God connects man with the task of guarding and protecting the Garden of Eden, and thus man actually cocreates the cultural landscape. The Czech philosopher Zdeněk Neubauer also describes this: “Such is reality, and it is so deep that it willingly crystallizes into worlds. Therefore I profess that reality is a creation and not a place of occurrence for objectively given phenomena.”61
  • in this viewpoint it is possible to see how Jewish thought is mystical—it admits the role of the incomprehensible. Therefore, through its groundedness, Jewish thought indulges mystery and defends itself against a mechanistic-causal explanation of the world: “The Jewish way of thinking, according to Veblen, emphasizes the spiritual, the miraculous, the intangible.
  • The Jews believed the exact opposite. The world is created by a good God, and evil appears in it as a result of immoral human acts. Evil, therefore, is induced by man.66 History unwinds according to the morality of human acts.
  • What’s more, history seems to be based on morals; morals seem to be the key determining factors of history. For the Hebrews, history proceeds according to how morally its actors behave.
  • The Sumerians believed in dualism—good and evil deities exist, and the earth of people becomes their passive battlefield.
  • GOOD AND EVIL IN US: A MORAL EXPLANATION OF WELL-BEING We have seen that in the Epic of Gilgamesh, good and evil are not yet addressed systematically on a moral level.
  • This was not about moral-human evil, but rather a kind of natural evil. It is as if good and evil were not touched by morality at all. Evil simply occurred. Period.
  • the epic, good and evil are not envisaged morally—they are not the result of an (a)moral act. Evil was not associated with free moral action or individual will.
  • Hebrew thought, on the other hand, deals intensively with moral good and evil. A moral dimension touches the core of its stories.65
  • discrepancy between savings and investment, and others are convinced of the monetary essence
  • The entire history of the Jewish nation is interpreted and perceived in terms of morality. Morality has become, so to speak, a mover and shaker of Hebrew history.
  • sunspots. The Hebrews came up with the idea that morals were behind good and bad years, behind the economic cycle. But we would be getting ahead of ourselves. Pharaoh’s Dream: Joseph and the First Business Cycle To
  • It is the Pharaoh’s well-known dream of seven fat and seven lean cows, which he told to Joseph, the son of Jacob. Joseph interpreted the dream as a macroeconomic prediction of sorts: Seven years of abundance were to be followed by seven years of poverty, famine, and misery.
  • Self-Contradicting Prophecy Here, let’s make several observations on this: Through taxation74 on the level of one-fifth of a crop75 in good years to save the crop and then open granaries in bad years, the prophecy was de facto prevented (prosperous years were limited and hunger averted—through a predecessor of fiscal stabilization).
  • The Old Testament prophesies therefore were not any deterministic look into the future, but warnings and strategic variations of the possible, which demanded some kind of reaction. If the reaction was adequate, what was prophesied would frequently not occur at all.
  • This principle stands directly against the self-fulfilling prophecy,80 the well-known concept of social science. Certain prophecies become self-fulfilling when expressed (and believed) while others become self-contradicting prophecies when pronounced (and believed).
  • If the threat is anticipated, it is possible to totally or at least partially avoid it. Neither Joseph nor the pharaoh had the power to avoid bounty or crop failure (in this the dream interpretation was true and the appearance of the future mystical), but they avoided the impacts and implications of the prophecy (in this the interpretation of the dream was “false”)—famine did not ultimately occur in Egypt, and this was due to the application of reasonable and very intuitive economic policy.
  • Let us further note that the first “macroeconomic forecast” appears in a dream.
  • back to Torah: Later in this story we will notice that there is no reason offered as to why the cycle occurs (that will come later). Fat years will simply come, and then lean years after them.
  • Moral Explanation of a Business Cycle That is fundamentally different from later Hebrew interpretations, when the Jewish nation tries to offer reasons why the nation fared well or poorly. And those reasons are moral.
  • If you pay attention to these laws and are careful to follow them, then the Lord your God will keep his covenant of love with you, as he swore to your forefathers. He will love you and bless you and increase your numbers.
  • Only in recent times have some currents of economics again become aware of the importance of morals and trust in the form of measuring the quality of institutions, the level of justice, business ethics, corruption, and so forth, and examining their influence on the economy,
  • From today’s perspective, we can state that the moral dimension entirely disappeared from economic thought for a long time, especially due to the implementation of Mandeville’s concept of private vices that contrarily support the public welfare
  • Without being timid, we can say this is the first documented attempt to explain the economic cycle. The economic cycle, the explanation of which is to this day a mystery to economists, is explained morally in the Old Testament.
  • But how do we consolidate these two conflicting interpretations of the economic cycle: Can ethics be responsible for it or not? Can we influence reality around us through our acts?
  • it is not within the scope of this book to answer that question; justice has been done to the question if it manages to sketch out the main contours of possible searches for answers.
  • THE ECONOMICS OF GOOD AND EVIL: DOES GOOD PAY OFF? This is probably the most difficult moral problem we could ask.
  • Kant, the most important modern thinker in the area of ethics, answers on the contrary that if we carry out a “moral” act on the basis of economic calculus (therefore we carry out an hedonistic consideration; see below) in the expectation of later recompense, its morality is lost. Recompense, according to the strict Kant, annuls ethics.
  • Inquiring about the economics of good and evil, however, is not that easy. Where would Kant’s “moral dimension of ethics” go if ethics paid? If we do good for profit, the question of ethics becomes a mere question of rationality.
  • Job’s friends try to show that he must have sinned in some way and, in doing so, deserved God’s punishment. They are absolutely unable to imagine a situation in which Job, as a righteous man, would suffer without (moral) cause. Nevertheless, Job insists that he deserves no punishment because he has committed no offense: “God has wronged me and drawn his net around me.”94
  • But Job remains righteous, even though it does not pay to do so: Though he slay me, yet will I hope in him.95 And till I die, I will not deny my integrity I will maintain my righteousness and never let go of it; my conscience will not reproach me as long as I live.96
  • He remains righteous, even if his only reward is death. What economic advantage could he have from that?
  • morals cannot be considered in the economic dimension of productivity and calculus. The role of the Hebrews was to do good, whether it paid off or not. If good (outgoing) is rewarded by incoming goodness, it is a bonus,99 not a reason to do outgoing good. Good and reward do not correlate to each other.
  • This reasoning takes on a dimension of its own in the Old Testament. Good (incoming) has already happened to us. We must do good (outgoing) out of gratitude for the good (incoming) shown to us in the past.
  • So why do good? After all, suffering is the fate of many biblical figures. The answer can only be: For good itself. Good has the power to be its own reward. In this sense, goodness gets its reward, which may or may not take on a material dimension.
  • the Hebrews offered an interesting compromise between the teachings of the Stoics and Epicureans. We will go into it in detail later, so only briefly
  • constraint. It calls for bounded optimalization (with limits). A kind of symbiosis existed between the legitimate search for one’s own utility (or enjoyment of life) and maintaining rules, which are not negotiable and which are not subject to optimalization.
  • In other words, clear (exogenously given) rules exist that must be observed and cannot be contravened. But within these borders it is absolutely possible, and even recommended, to increase utility.
  • the mining of enjoyment must not come at the expense of exogenously given rules. “Judaism comes therefore to train or educate the unbounded desire … for wealth, so that market activities and patterns of consumption operate within a God-given morality.”102
  • The Epicureans acted with the goal of maximizing utility without regard for rules (rules developed endogenously, from within the system, computed from that which increased utility—this was one of the main trumps of the Epicurean school; they did not need exogenously given norms, and argued that they could “calculate” ethics (what to do) for every given situation from the situation itself).
  • The Stoics could not seek their enjoyment—or, by another name, utility. They could not in any way look back on it, and in no way could they count on it. They could only live according to rules (the greatest weakness of this school was to defend where exogenously the given rules came from and whether they are universal) and take a indifferent stand to the results of their actions.
  • To Love the Law The Jews not only had to observe the law (perhaps the word covenant would be more appropriate), but they were to love it because it was good.
  • Their relationship to the law was not supposed to be one of duty,105 but one of gratitude, love. Hebrews were to do good (outgoing), because goodness (incoming) has already been done to them.
  • This is in stark contrast with today’s legal system, where, naturally, no mention of love or gratefulness exists. But God expects a full internalization of the commandments and their fulfillment with love, not as much duty. By no means was this on the basis of the cost-benefit analyses so widespread in economics today, which determines when it pays to break the law and when not to (calculated on the basis of probability of being caught and the amount of punishment vis-à-vis the possible gain).
  • And now, O Israel, what does the Lord your God ask of you but to fear the Lord your God, to walk in all his ways, to love him, to serve the Lord your God with all your heart and with all your soul, and to observe the Lord’s commands and decrees that I am giving you today for your own good? To the Lord your God belong the heavens, even the highest heavens, the earth and everything in it. Yet the Lord set his affection on your forefathers and loved them….
  • the principle of doing good (outgoing) on the basis of a priori demonstrated good (incoming) was also taken over by the New Testament. Atonement itself is based on an a priori principle; all our acts are preceded by good.
  • The Hebrews, originally a nomadic tribe, preferred to be unrestrained and grew up in constant freedom of motion.
  • Human laws, if they are in conflict with the responsibilities given by God, are subordinate to personal responsibility, and a Jew cannot simply join the majority, even if it is legally allowed. Ethics, the concept of good, is therefore always superior to all local laws, rules, and customs:
  • THE SHACKLES OF THE CITY Owing to the Hebrew’s liberation from Egyptian slavery, freedom and responsibility become the key values of Jewish thought.
  • Laws given by God are binding for Jews, and God is the absolute source of all values,
  • The Hebrew ideal is represented by the paradise of the Garden of Eden, not a city.116 The despised city civilization or the tendency to see in it a sinful and shackling way of life appears in glimpses and allusions in many places in the Old Testament.
  • The nomadic Jewish ethos is frequently derived from Abraham, who left the Chaldean city of Ur on the basis of a command:
  • In addition, they were aware of a thin two-way line between owner and owned. We own material assets, but—to a certain extent—they own us and tie us down. Once we become used to a certain material
  • This way of life had understandably immense economic impacts. First, such a society lived in much more connected relationships, where there was no doubt that everyone mutually depended on each other. Second, their frequent wanderings meant the inability to own more than they could carry; the gathering up of material assets did not have great weight—precisely because the physical weight (mass) of things was tied to one place.
  • One of Moses’s greatest deeds was that he managed to explain to his nation once and for all that it is better to remain hungry and liberated than to be a slave with food “at no cost.”
  • SOCIAL WELFARE: NOT TO ACT IN THE MANNER OF SODOM
  • regulations is developed in the Old Testament, one we hardly find in any other nation of the time. In Hebrew teachings, aside from individual utility, indications of the concept of maximalizing utility societywide appear for the first time as embodied in the Talmudic principle of Kofin al midat S´dom, which can be translated as “one is compelled not to act in the manner of Sodom” and to take care of the weaker members of society.
  • In a jubilee year, debts were to be forgiven,125 and Israelites who fell into slavery due to their indebtedness were to be set free.126
  • Such provisions can be seen as the antimonopoly and social measures of the time. The economic system even then had a clear tendency to converge toward asset concentration, and therefore power as well. It would appear that these provisions were supposed to prevent this process
  • Land at the time could be “sold,” and it was not sale, but rent. The price (rent) of real estate depended on how long there was until a forgiveness year. It was about the awareness that we may work the land, but in the last instance we are merely “aliens and strangers,” who have the land only rented to us for a fixed time. All land and riches came from the Lord.
  • These provisions express a conviction that freedom and inheritance should not be permanently taken away from any Israelite. Last but not least, this system reminds us that no ownership lasts forever and that the fields we plow are not ours but the Lord’s.
  • Glean Another social provision was the right to glean, which in Old Testament times ensured at least basic sustenance for the poorest. Anyone who owned a field had the responsibility not to harvest it to the last grain but to leave the remains in the field for the poor.
  • Tithes and Early Social Net Every Israelite also had the responsibility of levying a tithe from their entire crop. They had to be aware from whom all ownership comes and, by doing so, express their thanks.
  • “Since the community has an obligation to provide food, shelter, and basic economic goods for the needy, it has a moral right and duty to tax its members for this purpose. In line with this duty, it may have to regulate markets, prices and competition, to protect the interests of its weakest members.”135
  • In Judaism, charity is not perceived as a sign of goodness; it is more of a responsibility. Such a society then has the right to regulate its economy in such a way that the responsibility of charity is carried out to its satisfaction.
  • With a number of responsibilities, however, comes the difficulty of getting them into practice. Their fulfillment, then, in cases when it can be done, takes place gradually “in layers.” Charitable activities are classified in the Talmud according to several target groups with various priorities, classified according to, it could be said, rules of subsidiarity.
  • Do not mistreat an alien or oppress him, for you were aliens in Egypt.140 As one can see, aside from widows and orphans, the Old Testament also includes immigrants in its area of social protection.141 The Israelites had to have the same rules apply for them as for themselves—they could not discriminate on the basis of their origin.
  • ABSTRACT MONEY, FORBIDDEN INTEREST, AND OUR DEBT AGE If it appears to us that today’s era is based on money and debt, and our time will be written into history as the “Debt age,” then it will certainly be interesting to follow how this development occurred.
  • Money is a social abstractum. It is a social agreement, an unwritten contract.
  • The first money came in the form of clay tablets from Mesopotamia, on which debts were written. These debts were transferable, so the debts became currency. In the end, “It is no coincidence that in English the root of ‘credit’ is ‘credo,’ the Latin for ‘I believe.’”
  • To a certain extent it could be said that credit, or trust, was the first currency. It can materialize, it can be embodied in coins, but what is certain is that “money is not metal,” even the rarest metal, “it is trust inscribed,”
  • Inseparably, with the original credit (money) goes interest. For the Hebrews, the problem of interest was a social issue: “If you lend money to one of my people among you who is needy, do not be like a moneylender; charge him no interest.”
  • there were also clearly set rules setting how far one could go in setting guarantees and the nonpayment of debts. No one should become indebted to the extent that they could lose the source of their livelihood:
  • In the end, the term “bank” comes from the Italian banci, or the benches that Jewish lenders sat on.157
  • Money is playing not only its classical roles (as a means of exchange, a holder of value, etc.) but also a much greater, stronger role: It can stimulate, drive (or slow down) the whole economy. Money plays a national economic role.
  • In the course of history, however, the role of loans changed, and the rich borrowed especially for investment purposes,
  • Today the position and significance of money and debt has gone so far and reached such a dominant position in society that operating with debts (fiscal policy) or interest or money supply (monetary policy) means that these can, to a certain extent, direct (or at least strongly influence) the whole economy and society.
  • In such a case a ban on interest did not have great ethical significance. Thomas Aquinas, a medieval scholar (1225-1274), also considers similarly; in his time, the strict ban on lending with usurious interest was loosened, possibly due to him.
  • As a form of energy, money can travel in three dimensions, vertically (those who have capital lend to those who do not) and horizontally (speed and freedom in horizontal or geographic motion has become the by-product—or driving force?—of globalization). But money (as opposed to people) can also travel through time.
  • money is something like energy that can travel through time. And it is a very useful energy, but at the same time very dangerous as well. Wherever
  • Aristotle condemned interest162 not only from a moral standpoint, but also for metaphysical reasons. Thomas Aquinas shared the same fear of interest and he too argued that time does not belong to us, and that is why we must not require interest.
  • MONEY AS ENERGY: TIME TRAVEL AND GROSS DEBT PRODUCT (GDP)
  • Due to this characteristic, we can energy-strip the future to the benefit of the present. Debt can transfer energy from the future to the present.163 On the other hand, saving can accumulate energy from the past and send it to the present.
  • labor was not considered degrading in the Old Testament. On the contrary, the subjugation of nature is even a mission from God that originally belonged to man’s very first blessings.
  • LABOR AND REST: THE SABBATH ECONOMY
  • The Jews as well as Aristotle behaved very guardedly toward loans. The issue of interest/usury became one of the first economic debates. Without having an inkling of the future role of economic policy (fiscal and monetary), the ancient Hebrews may have unwittingly felt that they were discovering in interest a very powerful weapon, one that can be a good servant, but (literally) an enslaving master as well.
  • It’s something like a dam. When we build one, we are preventing periods of drought and flooding in the valley; we are limiting nature’s whims and, to a large extent, avoiding its incalculable cycles. Using dams, we can regulate the flow of water to nearly a constant. With it we tame the river (and we can also gain
  • But if we do not regulate the water wisely, it may happen that we would overfill the dam and it would break. For the cities lying in the valley, their end would be worse than if a dam were never there.
  • If man lived in harmony with nature before, now, after the fall, he must fight; nature stands against him and he against it and the animals. From the Garden we have moved unto a (battle)field.
  • Only after man’s fall does labor turn into a curse.168 It could even be said that this is actually the only curse, the curse of the unpleasantness of labor, that the Lord places on Adam.
  • Both Plato and Aristotle consider labor to be necessary for survival, but that only the lower classes should devote themselves to it so that the elites would not have to be bothered with it and so that they could devote themselves to “purely spiritual matters—art, philosophy, and politics.”
  • Work is also not only a source of pleasure but a social standing; It is considered an honor. “Do you see a man skilled in his work? He will serve before kings.”170 None of the surrounding cultures appreciate work as much. The idea of the dignity of labor is unique in the Hebrew tradition.
  • Hebrew thinking is characterized by a strict separation of the sacred from the profane. In life, there are simply areas that are holy, and in which it is not allowed to economize, rationalize, or maximize efficiency.
  • good example is the commandment on the Sabbath. No one at all could work on this day, not even the ones who were subordinate to an observant Jew:
  • the message of the commandment on Saturday communicated that people were not primarily created for labor.
  • Paradoxically, it is precisely this commandment out of all ten that is probably the most violated today.
  • Aristotle even considers labor to be “a corrupted waste of time which only burdens people’s path to true honour.”
  • we have days when we must not toil connected (at least lexically) with the word meaning emptiness: the English term “vacation” (or emptying), as with the French term, les vacances, or German die Freizeit, meaning open time, free time, but also…
  • Translated into economic language: The meaning of utility is not to increase it permanently but to rest among existing gains. Why do we learn how to constantly increase gains but not how to…
  • This dimension has disappeared from today’s economics. Economic effort has no goal at which it would be possible to rest. Today we only know growth for growth’s sake, and if our company or country prospers, that does not…
  • Six-sevenths of time either be dissatisfied and reshape the world into your own image, man, but one-seventh you will rest and not change the creation. On the seventh day, enjoy creation and enjoy the work of your hands.
  • the purpose of creation was not just creating but that it had an end, a goal. The process was just a process, not a purpose. The whole of Being was created so…
  • Saturday was not established to increase efficiency. It was a real ontological break that followed the example of the Lord’s seventh day of creation. Just as the Lord did not rest due to tiredness or to regenerate strength; but because He was done. He was done with His work, so that He could enjoy it, to cherish in His creation.
  • If we believe in rest at all today, it is for different reasons. It is the rest of the exhausted machine, the rest of the weak, and the rest of those who can’t handle the tempo. It’s no wonder that the word “rest…
  • Related to this, we have studied the first mention of a business cycle with the pharaoh’s dream as well as seen a first attempt (that we may call…
  • We have tried to show that the quest for a heaven on Earth (similar to the Jewish one) has, in its desacralized form, actually also been the same quest for many of the…
  • We have also seen that the Hebrews tried to explain the business cycle with morality and ethics. For the Hebrews,…
  • ancient Greek economic ethos, we will examine two extreme approaches to laws and rules. While the Stoics considered laws to be absolutely valid, and utility had infinitesimal meaning in their philosophy, the Epicureans, at least in the usual historical explanation, placed utility and pleasure in first place—rules were to be made based on the principle of utility.
  • CONCLUSION: BETWEEN UTILITY AND PRINCIPLE The influence of Jewish thought on the development of market democracy cannot be overestimated. The key heritage for us was the lack of ascetic perception of the world, respect to law and private…
  • We have tried to show how the Torah desacralized three important areas in our lives: the earthly ruler, nature,…
  • What is the relationship between the good and evil that we do (outgoing) and the utility of disutility that we (expect to) get as a reward (incoming)? We have seen…
  • The Hebrews never despised material wealth; on contrary, the Jewish faith puts great responsibility on property management. Also the idea of progress and the linear perception of time gives our (economic)…
  • the Hebrews managed to find something of a happy compromise between both of these principles.
  • will not be able to completely understand the development of the modern notion of economics without understanding the disputes between the Epicureans and the Stoics;
  • poets actually went even further, and with their speech they shaped and established reality and truth. Honor, adventure, great deeds, and the acclaim connected with them played an important role in the establishment of the true, the real.
  • those who are famous will be remembered by people. They become more real, part of the story, and they start to be “realized,” “made real” in the lives of other people. That which is stored in memory is real; that which is forgotten is as if it never existed.
  • Today’s scientific truth is founded on the notion of exact and objective facts, but poetic truth stands on an interior (emotional) consonance with the story or poem. “It is not addressed first to the brain … [myth] talks directly to the feeling system.”
  • “epic and tragic poets were widely assumed to be the central ethical thinkers and teachers of Greece; nobody thought of their work as less serious, less aimed at truth, than the speculative prose treatises of historians and philosophers.”5 Truth and reality were hidden in speech, stories, and narration.
  • Ancient philosophy, just as science would later, tries to find constancy, constants, quantities, inalterabilities. Science seeks (creates?) order and neglects everything else as much as it can. In their own experiences, everyone knows that life is not like that,
  • Just as scientists do today, artists drew images of the world that were representative, and therefore symbolic, picturelike, and simplifying (but thus also misleading), just like scientific models, which often do not strive to be “realistic.”
  • general? In the end, poetry could be more sensitive to the truth than the philosophical method or, later, the scientific method. “Tragic poems, in virtue of their subject matter and their social function, are likely to confront and explore problems about human beings and luck that a philosophical text might be able to omit or avoid.”8
kaylynfreeman

How Reliable Are the Social Sciences? - The New York Times - 1 views

  • How much authority should we give to such work in our policy decisions?  The question is important because media reports often seem to assume that any result presented as “scientific” has a claim to our serious attention.
  • A rational assessment of a scientific result must first take account of the broader context of the particular science involved.  Where does the result lie on the continuum from preliminary studies, designed to suggest further directions of research, to maximally supported conclusions of the science? 
  • Second, and even more important, there is our overall assessment of work in a given science in comparison with other sciences.  The core natural sciences (e.g., physics, chemistry, biology) are so well established that we readily accept their best-supported conclusions as definitive. 
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  • While the physical sciences produce many detailed and precise predictions, the social sciences do not.  The reason is that such predictions almost always require randomized controlled experiments, which are seldom possible when people are involved.  For one thing, we are too complex: our behavior depends on an enormous number of tightly interconnected variables that are extraordinarily difficult to  distinguish and study separately
  • Without a strong track record of experiments leading to successful predictions, there is seldom a basis for taking social scientific results as definitive
  • our policy discussions should simply ignore social scientific research.  We should, as Manzi himself proposes, find ways of injecting more experimental data into government decisions.  But above all, we need to develop a much better sense of the severely limited reliability of social scientific results.   Media reports of research should pay far more attention to these limitations, and scientists reporting the results need to emphasize what they don’t show as much as what they do.
  • Given the limited predictive success and the lack of consensus in social sciences, their conclusions can seldom be primary guides to setting policy.  At best, they can supplement the general knowledge, practical experience, good sense and critical intelligence that we can only hope our political leaders will have.
  • How much authority should we give to such work in our policy decisions?  The question is important because media reports often seem to assume that any result presented as “scientific” has a claim to our serious attention.
  • Without a strong track record of experiments leading to successful predictions, there is seldom a basis for taking social scientific results as definitive
  • our policy discussions should simply ignore social scientific research.  We should, as Manzi himself proposes, find ways of injecting more experimental data into government decisions.  But above all, we need to develop a much better sense of the severely limited reliability of social scientific results.   Media reports of research should pay far more attention to these limitations, and scientists reporting the results need to emphasize what they don’t show as much as what they do
  • our policy discussions should simply ignore social scientific research.  We should, as Manzi himself proposes, find ways of injecting more experimental data into government decisions.  But above all, we need to develop a much better sense of the severely limited reliability of social scientific results.   Media reports of research should pay far more attention to these limitations, and scientists reporting the results need to emphasize what they don’t show as much as what they do.
  • Social sciences may be surrounded by the “paraphernalia” of the natural sciences, such as technical terminology, mathematical equations, empirical data and even carefully designed experiments. 
  • Given the limited predictive success and the lack of consensus in social sciences, their conclusions can seldom be primary guides to setting policy.  At best, they can supplement the general knowledge, practical experience, good sense and critical intelligence that we can only hope our political leaders will have.
Javier E

How Reliable Are the Social Sciences? - NYTimes.com - 3 views

  • media reports often seem to assume that any result presented as “scientific” has a claim to our serious attention. But this is hardly a reasonable view.  There is considerable distance between, say, the confidence we should place in astronomers’ calculations of eclipses and a small marketing study suggesting that consumers prefer laundry soap in blue boxes
  • A rational assessment of a scientific result must first take account of the broader context of the particular science involved.  Where does the result lie on the continuum from preliminary studies, designed to suggest further directions of research, to maximally supported conclusions of the science?
  • Second, and even more important, there is our overall assessment of work in a given science in comparison with other sciences.
  • ...12 more annotations...
  • The core natural sciences (e.g., physics, chemistry, biology) are so well established that we readily accept their best-supported conclusions as definitive.
  • Even the best-developed social sciences like economics have nothing like this status.
  • when it comes to generating reliable scientific knowledge, there is nothing more important than frequent and detailed predictions of future events.  We may have a theory that explains all the known data, but that may be just the result of our having fitted the theory to that data.  The strongest support for a theory comes from its ability to correctly predict data that it was not designed to explain.
  • The case for a negative answer lies in the predictive power of the core natural sciences compared with even the most highly developed social sciences
  • Is there any work on the effectiveness of teaching that is solidly enough established to support major policy decisions?
  • While the physical sciences produce many detailed and precise predictions, the social sciences do not. 
  • most social science research falls far short of the natural sciences’ standard of controlled experiments.
  • Without a strong track record of experiments leading to successful predictions, there is seldom a basis for taking social scientific results as definitive.
  • Because of the many interrelated causes at work in social systems, many questions are simply “impervious to experimentation.”
  • even when we can get reliable experimental results, the causal complexity restricts us to “extremely conditional, statistical statements,” which severely limit the range of cases to which the results apply.
  • above all, we need to develop a much better sense of the severely limited reliability of social scientific results.   Media reports of research should pay far more attention to these limitations, and scientists reporting the results need to emphasize what they don’t show as much as what they do.
  • Given the limited predictive success and the lack of consensus in social sciences, their conclusions can seldom be primary guides to setting policy.  At best, they can supplement the general knowledge, practical experience, good sense and critical intelligence that we can only hope our political leaders will have.
onlinejobstudy

http://onlinejobstudy.com/shekhawati-university-ma-final-result/ - 0 views

University Result 2017 -Pandit Deendayal Upadhyaya Shekhawati University (PDUSU), Sikar Post Graduate examination is over and students are searching BA, MA, MSC, MCOM BSC, BCom (Bachelor of Arts) A...

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Javier E

Opinion | How Behavioral Economics Took Over America - The New York Times - 0 views

  • Some behavioral interventions do seem to lead to positive changes, such as automatically enrolling children in school free lunch programs or simplifying mortgage information for aspiring homeowners. (Whether one might call such interventions “nudges,” however, is debatable.)
  • it’s not clear we need to appeal to psychology studies to make some common-sense changes, especially since the scientific rigor of these studies is shaky at best.
  • Nudges are related to a larger area of research on “priming,” which tests how behavior changes in response to what we think about or even see without noticing
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  • Behavioral economics is at the center of the so-called replication crisis, a euphemism for the uncomfortable fact that the results of a significant percentage of social science experiments can’t be reproduced in subsequent trials
  • this key result was not replicated in similar experiments, undermining confidence in a whole area of study. It’s obvious that we do associate old age and slower walking, and we probably do slow down sometimes when thinking about older people. It’s just not clear that that’s a law of the mind.
  • And these attempts to “correct” human behavior are based on tenuous science. The replication crisis doesn’t have a simple solution
  • Journals have instituted reforms like having scientists preregister their hypotheses to avoid the possibility of results being manipulated during the research. But that doesn’t change how many uncertain results are already out there, with a knock-on effect that ripples through huge segments of quantitative social scienc
  • The Johns Hopkins science historian Ruth Leys, author of a forthcoming book on priming research, points out that cognitive science is especially prone to building future studies off disputed results. Despite the replication crisis, these fields are a “train on wheels, the track is laid and almost nothing stops them,” Dr. Leys said.
  • These cases result from lax standards around data collection, which will hopefully be corrected. But they also result from strong financial incentives: the possibility of salaries, book deals and speaking and consulting fees that range into the millions. Researchers can get those prizes only if they can show “significant” findings.
  • It is no coincidence that behavioral economics, from Dr. Kahneman to today, tends to be pro-business. Science should be not just reproducible, but also free of obvious ideology.
  • Technology and modern data science have only further entrenched behavioral economics. Its findings have greatly influenced algorithm design.
  • The collection of personal data about our movements, purchases and preferences inform interventions in our behavior from the grocery store to who is arrested by the police.
  • Setting people up for safety and success and providing good default options isn’t bad in itself, but there are more sinister uses as well. After all, not everyone who wants to exploit your cognitive biases has your best interests at heart.
  • Despite all its flaws, behavioral economics continues to drive public policy, market research and the design of digital interfaces.
  • One might think that a kind of moratorium on applying such dubious science would be in order — except that enacting one would be practically impossible. These ideas are so embedded in our institutions and everyday life that a full-scale audit of the behavioral sciences would require bringing much of our society to a standstill.
  • There is no peer review for algorithms that determine entry to a stadium or access to credit. To perform even the most banal, everyday actions, you have to put implicit trust in unverified scientific results.
  • We can’t afford to defer questions about human nature, and the social and political policies that come from them, to commercialized “research” that is scientifically questionable and driven by ideology. Behavioral economics claims that humans aren’t rational.
  • That’s a philosophical claim, not a scientific one, and it should be fought out in a rigorous marketplace of ideas. Instead of unearthing real, valuable knowledge of human nature, behavioral economics gives us “one weird trick” to lose weight or quit smoking.
  • Humans may not be perfectly rational, but we can do better than the predictably irrational consequences that behavioral economics has left us with today.
Javier E

Science and gun violence: why is the research so weak? [Part 2] - Boing Boing - 1 views

  • Scientists are missing some important bits of data that would help them better understand the effects of gun policy and the causes of gun-related violence. But that’s not the only reason why we don’t have solid answers. Once you have the data, you still have to figure out what it means. This is where the research gets complicated, because the problem isn’t simply about what we do and don’t know right now. The problem, say some scientists, is that we —from the public, to politicians, to even scientists themselves—may be trying to force research to give a type of answer that we can’t reasonably expect it to offer. To understand what science can do for the gun debates, we might have to rethink what “evidence-based policy” means to us.
  • For the most part, there aren’t a lot of differences in the data that these studies are using. So how can they reach such drastically different conclusions? The issue is in the kind of data that exists, and what you have to do to understand it, says Charles Manski, professor of economics at Northwestern University. Manski studies the ways that other scientists do research and how that research translates into public policy.
  • Even if we did have those gaps filled in, Manski said, what we’d have would still just be observational data, not experimental data. “We don’t have randomized, controlled experiments, here,” he said. “The only way you could do that, you’d have to assign a gun to some people randomly at birth and follow them throughout their lives. Obviously, that’s not something that’s going to work.”
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  • This means that, even under the best circumstances, scientists can’t directly test what the results of a given gun policy are. The best you can do is to compare what was happening in a state before and after a policy was enacted, or to compare two different states, one that has the policy and one that doesn’t. And that’s a pretty inexact way of working.
  • Add in enough assumptions, and you can eventually come up with an estimate. But is the estimate correct? Is it even close to reality? That’s a hard question to answer, because the assumptions you made—the correlations you drew between cause and effect, what you know and what you assume to be true because of that—might be totally wrong.
  • It’s hard to tease apart the effect of one specific change, compared to the effects of other things that could be happening at the same time.
  • This process of taking the observational data we do have and then running it through a filter of assumptions plays out in the real world in the form of statistical modeling. When the NAS report says that nobody yet knows whether more guns lead to more crime, or less crime, what they mean is that the models and the assumptions built into those models are all still proving to be pretty weak.
  • From either side of the debate, he said, scientists continue to produce wildly different conclusions using the same data. On either side, small shifts in the assumptions lead the models to produce different results. Both factions continue to choose sets of assumptions that aren’t terribly logical. It’s as if you decided that anybody with blue shoes probably had a belly-button piercing. There’s not really a good reason for making that correlation. And if you change the assumption—actually, belly-button piercings are more common in people who wear green shoes—you end up with completely different results.
  • The Intergovernmental Panel on Climate Change (IPCC) produces these big reports periodically, which analyze lots of individual papers. In essence, they’re looking at lots of trees and trying to paint you a picture of the forest. IPCC reports are available for free online, you can go and read them yourself. When you do, you’ll notice something interesting about the way that the reports present results. The IPCC never says, “Because we burned fossil fuels and emitted carbon dioxide into the atmosphere then the Earth will warm by x degrees.” Instead, those reports present a range of possible outcomes … for everything. Depending on the different models used, different scenarios presented, and the different assumptions made, the temperature of the Earth might increase by anywhere between 1.5 and 4.5 degrees Celsius.
  • What you’re left with is an environment where it’s really easy to prove that your colleague’s results are probably wrong, and it’s easy for him to prove that yours are probably wrong. But it’s not easy for either of you to make a compelling case for why you’re right.
  • Statistical modeling isn’t unique to gun research. It just happens to be particularly messy in this field. Scientists who study other topics have done a better job of using stronger assumptions and of building models that can’t be upended by changing one small, seemingly randomly chosen detail. It’s not that, in these other fields, there’s only one model being used, or even that all the different models produce the exact same results. But the models are stronger and, more importantly, the scientists do a better job of presenting the differences between models and drawing meaning from them.
  • “Climate change is one of the rare scientific literatures that has actually faced up to this,” Charles Manski said. What he means is that, when scientists model climate change, they don’t expect to produce exact, to-the-decimal-point answers.
  • “It’s been a complete waste of time, because we can’t validate one model versus another,” Pepper said. Most likely, he thinks that all of them are wrong. For instance, all the models he’s seen assume that a law will affect every state in the same way, and every person within that state in the same way. “But if you think about it, that’s just nonsensical,” he said.
  • On the one hand, that leaves politicians in a bit of a lurch. The response you might mount to counteract a 1.5 degree increase in global average temperature is pretty different from the response you’d have to 4.5 degrees. On the other hand, the range does tell us something valuable: the temperature is increasing.
  • The problem with this is that it flies in the face of what most of us expect science to do for public policy. Politics is inherently biased, right? The solutions that people come up with are driven by their ideologies. Science is supposed to cut that Gordian Knot. It’s supposed to lay the evidence down on the table and impartially determine who is right and who is wrong.
  • Manski and Pepper say that this is where we need to rethink what we expect science to do. Science, they say, isn’t here to stop all political debate in its tracks. In a situation like this, it simply can’t provide a detailed enough answer to do that—not unless you’re comfortable with detailed answers that are easily called into question and disproven by somebody else with a detailed answer.
  • Instead, science can reliably produce a range of possible outcomes, but it’s still up to the politicians (and, by extension, up to us) to hash out compromises between wildly differing values on controversial subjects. When it comes to complex social issues like gun ownership and gun violence, science doesn’t mean you get to blow off your political opponents and stake a claim on truth. Chances are, the closest we can get to the truth is a range that encompasses the beliefs of many different groups.
oliviaodon

How scientists fool themselves - and how they can stop : Nature News & Comment - 1 views

  • In 2013, five years after he co-authored a paper showing that Democratic candidates in the United States could get more votes by moving slightly to the right on economic policy1, Andrew Gelman, a statistician at Columbia University in New York City, was chagrined to learn of an error in the data analysis. In trying to replicate the work, an undergraduate student named Yang Yang Hu had discovered that Gelman had got the sign wrong on one of the variables.
  • Gelman immediately published a three-sentence correction, declaring that everything in the paper's crucial section should be considered wrong until proved otherwise.
  • Reflecting today on how it happened, Gelman traces his error back to the natural fallibility of the human brain: “The results seemed perfectly reasonable,” he says. “Lots of times with these kinds of coding errors you get results that are just ridiculous. So you know something's got to be wrong and you go back and search until you find the problem. If nothing seems wrong, it's easier to miss it.”
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  • This is the big problem in science that no one is talking about: even an honest person is a master of self-deception. Our brains evolved long ago on the African savannah, where jumping to plausible conclusions about the location of ripe fruit or the presence of a predator was a matter of survival. But a smart strategy for evading lions does not necessarily translate well to a modern laboratory, where tenure may be riding on the analysis of terabytes of multidimensional data. In today's environment, our talent for jumping to conclusions makes it all too easy to find false patterns in randomness, to ignore alternative explanations for a result or to accept 'reasonable' outcomes without question — that is, to ceaselessly lead ourselves astray without realizing it.
  • Failure to understand our own biases has helped to create a crisis of confidence about the reproducibility of published results
  • Although it is impossible to document how often researchers fool themselves in data analysis, says Ioannidis, findings of irreproducibility beg for an explanation. The study of 100 psychology papers is a case in point: if one assumes that the vast majority of the original researchers were honest and diligent, then a large proportion of the problems can be explained only by unconscious biases. “This is a great time for research on research,” he says. “The massive growth of science allows for a massive number of results, and a massive number of errors and biases to study. So there's good reason to hope we can find better ways to deal with these problems.”
  • Although the human brain and its cognitive biases have been the same for as long as we have been doing science, some important things have changed, says psychologist Brian Nosek, executive director of the non-profit Center for Open Science in Charlottesville, Virginia, which works to increase the transparency and reproducibility of scientific research. Today's academic environment is more competitive than ever. There is an emphasis on piling up publications with statistically significant results — that is, with data relationships in which a commonly used measure of statistical certainty, the p-value, is 0.05 or less. “As a researcher, I'm not trying to produce misleading results,” says Nosek. “But I do have a stake in the outcome.” And that gives the mind excellent motivation to find what it is primed to find.
  • Another reason for concern about cognitive bias is the advent of staggeringly large multivariate data sets, often harbouring only a faint signal in a sea of random noise. Statistical methods have barely caught up with such data, and our brain's methods are even worse, says Keith Baggerly, a statistician at the University of Texas MD Anderson Cancer Center in Houston. As he told a conference on challenges in bioinformatics last September in Research Triangle Park, North Carolina, “Our intuition when we start looking at 50, or hundreds of, variables sucks.”
  • One trap that awaits during the early stages of research is what might be called hypothesis myopia: investigators fixate on collecting evidence to support just one hypothesis; neglect to look for evidence against it; and fail to consider other explanations.
Javier E

They're Watching You at Work - Don Peck - The Atlantic - 2 views

  • Predictive statistical analysis, harnessed to big data, appears poised to alter the way millions of people are hired and assessed.
  • By one estimate, more than 98 percent of the world’s information is now stored digitally, and the volume of that data has quadrupled since 2007.
  • The application of predictive analytics to people’s careers—an emerging field sometimes called “people analytics”—is enormously challenging, not to mention ethically fraught
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  • By the end of World War II, however, American corporations were facing severe talent shortages. Their senior executives were growing old, and a dearth of hiring from the Depression through the war had resulted in a shortfall of able, well-trained managers. Finding people who had the potential to rise quickly through the ranks became an overriding preoccupation of American businesses. They began to devise a formal hiring-and-management system based in part on new studies of human behavior, and in part on military techniques developed during both world wars, when huge mobilization efforts and mass casualties created the need to get the right people into the right roles as efficiently as possible. By the 1950s, it was not unusual for companies to spend days with young applicants for professional jobs, conducting a battery of tests, all with an eye toward corner-office potential.
  • But companies abandoned their hard-edged practices for another important reason: many of their methods of evaluation turned out not to be very scientific.
  • this regime, so widespread in corporate America at mid-century, had almost disappeared by 1990. “I think an HR person from the late 1970s would be stunned to see how casually companies hire now,”
  • Many factors explain the change, he said, and then he ticked off a number of them: Increased job-switching has made it less important and less economical for companies to test so thoroughly. A heightened focus on short-term financial results has led to deep cuts in corporate functions that bear fruit only in the long term. The Civil Rights Act of 1964, which exposed companies to legal liability for discriminatory hiring practices, has made HR departments wary of any broadly applied and clearly scored test that might later be shown to be systematically biased.
  • about a quarter of the country’s corporations were using similar tests to evaluate managers and junior executives, usually to assess whether they were ready for bigger roles.
  • He has encouraged the company’s HR executives to think about applying the games to the recruitment and evaluation of all professional workers.
  • Knack makes app-based video games, among them Dungeon Scrawl, a quest game requiring the player to navigate a maze and solve puzzles, and Wasabi Waiter, which involves delivering the right sushi to the right customer at an increasingly crowded happy hour. These games aren’t just for play: they’ve been designed by a team of neuroscientists, psychologists, and data scientists to suss out human potential. Play one of them for just 20 minutes, says Guy Halfteck, Knack’s founder, and you’ll generate several megabytes of data, exponentially more than what’s collected by the SAT or a personality test. How long you hesitate before taking every action, the sequence of actions you take, how you solve problems—all of these factors and many more are logged as you play, and then are used to analyze your creativity, your persistence, your capacity to learn quickly from mistakes, your ability to prioritize, and even your social intelligence and personality. The end result, Halfteck says, is a high-resolution portrait of your psyche and intellect, and an assessment of your potential as a leader or an innovator.
  • When the results came back, Haringa recalled, his heart began to beat a little faster. Without ever seeing the ideas, without meeting or interviewing the people who’d proposed them, without knowing their title or background or academic pedigree, Knack’s algorithm had identified the people whose ideas had panned out. The top 10 percent of the idea generators as predicted by Knack were in fact those who’d gone furthest in the process.
  • What Knack is doing, Haringa told me, “is almost like a paradigm shift.” It offers a way for his GameChanger unit to avoid wasting time on the 80 people out of 100—nearly all of whom look smart, well-trained, and plausible on paper—whose ideas just aren’t likely to work out.
  • Aptitude, skills, personal history, psychological stability, discretion, loyalty—companies at the time felt they had a need (and the right) to look into them all. That ambit is expanding once again, and this is undeniably unsettling. Should the ideas of scientists be dismissed because of the way they play a game? Should job candidates be ranked by what their Web habits say about them? Should the “data signature” of natural leaders play a role in promotion? These are all live questions today, and they prompt heavy concerns: that we will cede one of the most subtle and human of skills, the evaluation of the gifts and promise of other people, to machines; that the models will get it wrong; that some people will never get a shot in the new workforce.
  • scoring distance from work could violate equal-employment-opportunity standards. Marital status? Motherhood? Church membership? “Stuff like that,” Meyerle said, “we just don’t touch”—at least not in the U.S., where the legal environment is strict. Meyerle told me that Evolv has looked into these sorts of factors in its work for clients abroad, and that some of them produce “startling results.”
  • consider the alternative. A mountain of scholarly literature has shown that the intuitive way we now judge professional potential is rife with snap judgments and hidden biases, rooted in our upbringing or in deep neurological connections that doubtless served us well on the savanna but would seem to have less bearing on the world of work.
  • We may like to think that society has become more enlightened since those days, and in many ways it has, but our biases are mostly unconscious, and they can run surprisingly deep. Consider race. For a 2004 study called “Are Emily and Greg More Employable Than Lakisha and Jamal?,” the economists Sendhil Mullainathan and Marianne Bertrand put white-sounding names (Emily Walsh, Greg Baker) or black-sounding names (Lakisha Washington, Jamal Jones) on similar fictitious résumés, which they then sent out to a variety of companies in Boston and Chicago. To get the same number of callbacks, they learned, they needed to either send out half again as many résumés with black names as those with white names, or add eight extra years of relevant work experience to the résumés with black names.
  • a sociologist at Northwestern, spent parts of the three years from 2006 to 2008 interviewing professionals from elite investment banks, consultancies, and law firms about how they recruited, interviewed, and evaluated candidates, and concluded that among the most important factors driving their hiring recommendations were—wait for it—shared leisure interests.
  • Lacking “reliable predictors of future performance,” Rivera writes, “assessors purposefully used their own experiences as models of merit.” Former college athletes “typically prized participation in varsity sports above all other types of involvement.” People who’d majored in engineering gave engineers a leg up, believing they were better prepared.
  • the prevailing system of hiring and management in this country involves a level of dysfunction that should be inconceivable in an economy as sophisticated as ours. Recent survey data collected by the Corporate Executive Board, for example, indicate that nearly a quarter of all new hires leave their company within a year of their start date, and that hiring managers wish they’d never extended an offer to one out of every five members on their team
  • In the late 1990s, as these assessments shifted from paper to digital formats and proliferated, data scientists started doing massive tests of what makes for a successful customer-support technician or salesperson. This has unquestionably improved the quality of the workers at many firms.
  • In 2010, however, Xerox switched to an online evaluation that incorporates personality testing, cognitive-skill assessment, and multiple-choice questions about how the applicant would handle specific scenarios that he or she might encounter on the job. An algorithm behind the evaluation analyzes the responses, along with factual information gleaned from the candidate’s application, and spits out a color-coded rating: red (poor candidate), yellow (middling), or green (hire away). Those candidates who score best, I learned, tend to exhibit a creative but not overly inquisitive personality, and participate in at least one but not more than four social networks, among many other factors. (Previous experience, one of the few criteria that Xerox had explicitly screened for in the past, turns out to have no bearing on either productivity or retention
  • When Xerox started using the score in its hiring decisions, the quality of its hires immediately improved. The rate of attrition fell by 20 percent in the initial pilot period, and over time, the number of promotions rose. Xerox still interviews all candidates in person before deciding to hire them, Morse told me, but, she added, “We’re getting to the point where some of our hiring managers don’t even want to interview anymore”
  • Gone are the days, Ostberg told me, when, say, a small survey of college students would be used to predict the statistical validity of an evaluation tool. “We’ve got a data set of 347,000 actual employees who have gone through these different types of assessments or tools,” he told me, “and now we have performance-outcome data, and we can split those and slice and dice by industry and location.”
  • Evolv’s tests allow companies to capture data about everybody who applies for work, and everybody who gets hired—a complete data set from which sample bias, long a major vexation for industrial-organization psychologists, simply disappears. The sheer number of observations that this approach makes possible allows Evolv to say with precision which attributes matter more to the success of retail-sales workers (decisiveness, spatial orientation, persuasiveness) or customer-service personnel at call centers (rapport-building)
  • There are some data that Evolv simply won’t use, out of a concern that the information might lead to systematic bias against whole classes of people
  • the idea that hiring was a science fell out of favor. But now it’s coming back, thanks to new technologies and methods of analysis that are cheaper, faster, and much-wider-ranging than what we had before
  • what most excites him are the possibilities that arise from monitoring the entire life cycle of a worker at any given company.
  • Now the two companies are working together to marry pre-hire assessments to an increasing array of post-hire data: about not only performance and duration of service but also who trained the employees; who has managed them; whether they were promoted to a supervisory role, and how quickly; how they performed in that role; and why they eventually left.
  • What begins with an online screening test for entry-level workers ends with the transformation of nearly every aspect of hiring, performance assessment, and management.
  • I turned to Sandy Pentland, the director of the Human Dynamics Laboratory at MIT. In recent years, Pentland has pioneered the use of specialized electronic “badges” that transmit data about employees’ interactions as they go about their days. The badges capture all sorts of information about formal and informal conversations: their length; the tone of voice and gestures of the people involved; how much those people talk, listen, and interrupt; the degree to which they demonstrate empathy and extroversion; and more. Each badge generates about 100 data points a minute.
  • he tried the badges out on about 2,500 people, in 21 different organizations, and learned a number of interesting lessons. About a third of team performance, he discovered, can usually be predicted merely by the number of face-to-face exchanges among team members. (Too many is as much of a problem as too few.) Using data gathered by the badges, he was able to predict which teams would win a business-plan contest, and which workers would (rightly) say they’d had a “productive” or “creative” day. Not only that, but he claimed that his researchers had discovered the “data signature” of natural leaders, whom he called “charismatic connectors” and all of whom, he reported, circulate actively, give their time democratically to others, engage in brief but energetic conversations, and listen at least as much as they talk.
  • His group is developing apps to allow team members to view their own metrics more or less in real time, so that they can see, relative to the benchmarks of highly successful employees, whether they’re getting out of their offices enough, or listening enough, or spending enough time with people outside their own team.
  • Torrents of data are routinely collected by American companies and now sit on corporate servers, or in the cloud, awaiting analysis. Bloomberg reportedly logs every keystroke of every employee, along with their comings and goings in the office. The Las Vegas casino Harrah’s tracks the smiles of the card dealers and waitstaff on the floor (its analytics team has quantified the impact of smiling on customer satisfaction). E‑mail, of course, presents an especially rich vein to be mined for insights about our productivity, our treatment of co-workers, our willingness to collaborate or lend a hand, our patterns of written language, and what those patterns reveal about our intelligence, social skills, and behavior.
  • people analytics will ultimately have a vastly larger impact on the economy than the algorithms that now trade on Wall Street or figure out which ads to show us. He reminded me that we’ve witnessed this kind of transformation before in the history of management science. Near the turn of the 20th century, both Frederick Taylor and Henry Ford famously paced the factory floor with stopwatches, to improve worker efficiency.
  • “The quantities of data that those earlier generations were working with,” he said, “were infinitesimal compared to what’s available now. There’s been a real sea change in the past five years, where the quantities have just grown so large—petabytes, exabytes, zetta—that you start to be able to do things you never could before.”
  • People analytics will unquestionably provide many workers with more options and more power. Gild, for example, helps companies find undervalued software programmers, working indirectly to raise those people’s pay. Other companies are doing similar work. One called Entelo, for instance, specializes in using algorithms to identify potentially unhappy programmers who might be receptive to a phone cal
  • He sees it not only as a boon to a business’s productivity and overall health but also as an important new tool that individual employees can use for self-improvement: a sort of radically expanded The 7 Habits of Highly Effective People, custom-written for each of us, or at least each type of job, in the workforce.
  • the most exotic development in people analytics today is the creation of algorithms to assess the potential of all workers, across all companies, all the time.
  • The way Gild arrives at these scores is not simple. The company’s algorithms begin by scouring the Web for any and all open-source code, and for the coders who wrote it. They evaluate the code for its simplicity, elegance, documentation, and several other factors, including the frequency with which it’s been adopted by other programmers. For code that was written for paid projects, they look at completion times and other measures of productivity. Then they look at questions and answers on social forums such as Stack Overflow, a popular destination for programmers seeking advice on challenging projects. They consider how popular a given coder’s advice is, and how widely that advice ranges.
  • The algorithms go further still. They assess the way coders use language on social networks from LinkedIn to Twitter; the company has determined that certain phrases and words used in association with one another can distinguish expert programmers from less skilled ones. Gild knows these phrases and words are associated with good coding because it can correlate them with its evaluation of open-source code, and with the language and online behavior of programmers in good positions at prestigious companies.
  • having made those correlations, Gild can then score programmers who haven’t written open-source code at all, by analyzing the host of clues embedded in their online histories. They’re not all obvious, or easy to explain. Vivienne Ming, Gild’s chief scientist, told me that one solid predictor of strong coding is an affinity for a particular Japanese manga site.
  • Gild’s CEO, Sheeroy Desai, told me he believes his company’s approach can be applied to any occupation characterized by large, active online communities, where people post and cite individual work, ask and answer professional questions, and get feedback on projects. Graphic design is one field that the company is now looking at, and many scientific, technical, and engineering roles might also fit the bill. Regardless of their occupation, most people leave “data exhaust” in their wake, a kind of digital aura that can reveal a lot about a potential hire.
  • professionally relevant personality traits can be judged effectively merely by scanning Facebook feeds and photos. LinkedIn, of course, captures an enormous amount of professional data and network information, across just about every profession. A controversial start-up called Klout has made its mission the measurement and public scoring of people’s online social influence.
  • Mullainathan expressed amazement at how little most creative and professional workers (himself included) know about what makes them effective or ineffective in the office. Most of us can’t even say with any certainty how long we’ve spent gathering information for a given project, or our pattern of information-gathering, never mind know which parts of the pattern should be reinforced, and which jettisoned. As Mullainathan put it, we don’t know our own “production function.”
  • Over time, better job-matching technologies are likely to begin serving people directly, helping them see more clearly which jobs might suit them and which companies could use their skills. In the future, Gild plans to let programmers see their own profiles and take skills challenges to try to improve their scores. It intends to show them its estimates of their market value, too, and to recommend coursework that might allow them to raise their scores even more. Not least, it plans to make accessible the scores of typical hires at specific companies, so that software engineers can better see the profile they’d need to land a particular job
  • Knack, for its part, is making some of its video games available to anyone with a smartphone, so people can get a better sense of their strengths, and of the fields in which their strengths would be most valued. (Palo Alto High School recently adopted the games to help students assess careers.) Ultimately, the company hopes to act as matchmaker between a large network of people who play its games (or have ever played its games) and a widening roster of corporate clients, each with its own specific profile for any given type of job.
  • When I began my reporting for this story, I was worried that people analytics, if it worked at all, would only widen the divergent arcs of our professional lives, further gilding the path of the meritocratic elite from cradle to grave, and shutting out some workers more definitively. But I now believe the opposite is likely to happen, and that we’re headed toward a labor market that’s fairer to people at every stage of their careers
  • For decades, as we’ve assessed people’s potential in the professional workforce, the most important piece of data—the one that launches careers or keeps them grounded—has been educational background: typically, whether and where people went to college, and how they did there. Over the past couple of generations, colleges and universities have become the gatekeepers to a prosperous life. A degree has become a signal of intelligence and conscientiousness, one that grows stronger the more selective the school and the higher a student’s GPA, that is easily understood by employers, and that, until the advent of people analytics, was probably unrivaled in its predictive powers.
  • the limitations of that signal—the way it degrades with age, its overall imprecision, its many inherent biases, its extraordinary cost—are obvious. “Academic environments are artificial environments,” Laszlo Bock, Google’s senior vice president of people operations, told The New York Times in June. “People who succeed there are sort of finely trained, they’re conditioned to succeed in that environment,” which is often quite different from the workplace.
  • because one’s college history is such a crucial signal in our labor market, perfectly able people who simply couldn’t sit still in a classroom at the age of 16, or who didn’t have their act together at 18, or who chose not to go to graduate school at 22, routinely get left behind for good. That such early factors so profoundly affect career arcs and hiring decisions made two or three decades later is, on its face, absurd.
  • I spoke with managers at a lot of companies who are using advanced analytics to reevaluate and reshape their hiring, and nearly all of them told me that their research is leading them toward pools of candidates who didn’t attend college—for tech jobs, for high-end sales positions, for some managerial roles. In some limited cases, this is because their analytics revealed no benefit whatsoever to hiring people with college degrees; in other cases, and more often, it’s because they revealed signals that function far better than college history,
  • Google, too, is hiring a growing number of nongraduates. Many of the people I talked with reported that when it comes to high-paying and fast-track jobs, they’re reducing their preference for Ivy Leaguers and graduates of other highly selective schools.
  • This process is just beginning. Online courses are proliferating, and so are online markets that involve crowd-sourcing. Both arenas offer new opportunities for workers to build skills and showcase competence. Neither produces the kind of instantly recognizable signals of potential that a degree from a selective college, or a first job at a prestigious firm, might. That’s a problem for traditional hiring managers, because sifting through lots of small signals is so difficult and time-consuming.
  • all of these new developments raise philosophical questions. As professional performance becomes easier to measure and see, will we become slaves to our own status and potential, ever-focused on the metrics that tell us how and whether we are measuring up? Will too much knowledge about our limitations hinder achievement and stifle our dreams? All I can offer in response to these questions, ironically, is my own gut sense, which leads me to feel cautiously optimistic.
  • Google’s understanding of the promise of analytics is probably better than anybody else’s, and the company has been changing its hiring and management practices as a result of its ongoing analyses. (Brainteasers are no longer used in interviews, because they do not correlate with job success; GPA is not considered for anyone more than two years out of school, for the same reason—the list goes on.) But for all of Google’s technological enthusiasm, these same practices are still deeply human. A real, live person looks at every résumé the company receives. Hiring decisions are made by committee and are based in no small part on opinions formed during structured interviews.
Javier E

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

  • 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

Inequality in America and Norway - The Atlantic - 0 views

  • Norway, like many European states, has public offerings many Americans would consider political fantasy. There is lengthy paid maternity leave, free university education, and long-term unemployment benefits
  • What is it about the Norwegian state—or about Scandinavian countries in general—that leads their populations to support redistribution policies in a way that Americans don’t?
  • A group of Scandinavian researchers recently did an experiment trying to tease that out. Their goal: to find out how social attitudes towards inequality in the U.S. and Norway differ, in an effort to explain why the two countries have such different redistribution policies. The difference, they discovered, hinges on how people think about luck and fairness.
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  • “In Norway, people very much disapprove of inequalities that are due to bad luck,”
  • “People in the U.S. are more willing to accept inequality, even if it reflects pure good luck for some and pure bad luck for others.”
  • The purpose of setting up the experiment this way, Tungodden told me, was to find out spectators’ views about different sources of inequality. In the first setting, inequality was a result of luck: The workers both did the task well, but one just got lucky and received a bonus. In the second, inequality was a result of merit: One worker did the task better. And the third was to assess whether people were willing to eradicate inequality created by luck if doing so had costs: The bonus was lower if the spectators chose to redistribute it more fairly.
  • In the experiment, Americans were more willing to accept inequality if it’s a result of luck than Norwegians were. When both workers did the task well, but only one got the bonus (the first setting), half of Americans said they wanted to redistribute the bonus equally. By contrast, 78 percent of Norwegians did. “It’s an enormous difference in exactly the same situation in a willingness to accept brute luck,” Tungodden said. “Americans hold this view of, whatever comes to you, good for you.”
  • When inequality was a result of merit, on the other hand, people in both countries were willing to accept it. Just 15 percent of people in the U.S. and 36 percent of people in Norway redistributed the bonus in the second situation.
  • Together, this helps explain why Norway has a more robust welfare state than the U.S. does, Tungodden said. Norwegians believe that when someone is, by bad luck, born into a poor family, or is, by bad luck, thrust into poverty, that person should have help from others. U.S. residents are more split on this idea
  • This could be because Americans admire wealth and would be hesitant to implement policies that would hurt people who, by luck, are wealthy.
  • There were some differences in which demographics in each country were willing to redistribute the bonuses.
  • white Americans tend to be more withholding when it comes to welfare if they believe the money is going to black Americans. It would be illuminating for another, similar study to be performed that looks at whether white people perceive luck as more or less fair if the beneficiary (or loser, as the case may be) is black.
  • Perhaps somewhat surprisingly, both Americans and Norwegians seemed willing to weather some costs of wealth redistribution. In the third setting, when spectators were told that the inequality was the result of luck, but that redistributing the bonus would have a significant cost, about equal numbers of Americans and Norwegians decided to redistribute
  • it shows that people in both countries are more concerned about whether inequalities are fair than about whether there are costs to redistribution.
  • Debates about the costs of a welfare state and redistribution in America, then, may be besides the point. Costs don’t seem to be Americans’ big hang-up with redistribution. Rather, their opposition seems to go to an underlying acceptance of fate and the fortunes it brings.
Javier E

Science: A New Map of the Human Brain - WSJ.com - 0 views

  • The popular left/right story has no solid basis in science. The brain doesn't work one part at a time, but rather as a single interactive system, with all parts contributing in concert, as neuroscientists have long known. The left brain/right brain story may be the mother of all urban legends: It sounds good and seems to make sense—but just isn't true.
  • There is a better way to understand the functioning of the brain, based on another, ordinarily overlooked anatomical division—between its top and bottom parts. We call this approach "the theory of cognitive modes." Built on decades of unimpeachable research that has largely remained inside scientific circles, it offers a new way of viewing thought and behavior
  • Our theory has emerged from the field of neuropsychology, the study of higher cognitive functioning—thoughts, wishes, hopes, desires and all other aspects of mental life. Higher cognitive functioning is seated in the cerebral cortex, the rind-like outer layer of the brain that consists of four lobes
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  • The top brain comprises the entire parietal lobe and the top (and larger) portion of the frontal lobe. The bottom comprises the smaller remainder of the frontal lobe and all of the occipital and temporal lobes.
  • research reveals that the top-brain system uses information about the surrounding environment (in combination with other sorts of information, such as emotional reactions and the need for food or drink) to figure out which goals to try to achieve. It actively formulates plans, generates expectations about what should happen when a plan is executed and then, as the plan is being carried out, compares what is happening with what was expected, adjusting the plan accordingly.
  • The bottom-brain system organizes signals from the senses, simultaneously comparing what is being perceived with all the information previously stored in memory. It then uses the results of such comparisons to classify and interpret the object or event, allowing us to confer meaning on the world.
  • The top- and bottom-brain systems always work together, just as the hemispheres always do. Our brains are not engaged in some sort of constant cerebral tug of war
  • Although the top and bottom parts of the brain are always used during all of our waking lives, people do not rely on them to an equal degree. To extend the bicycle analogy, not everyone rides a bike the same way. Some may meander, others may race.
  • You can use the top-brain system to develop simple and straightforward plans, as required by a situation—or you have the option to use it to develop detailed and complex plans (which are not imposed by a situation).
  • Our theory predicts that people fit into one of four groups, based on their typical use of the two brain systems. Depending on the degree to which a person uses the top and bottom systems in optional ways, he or she will operate in one of four cognitive modes: Mover, Perceiver, Stimulator and Adaptor.
  • Mover mode results when the top- and bottom-brain systems are both highly utilized in optional ways. Oprah Winfrey
  • According to the theory, people who habitually rely on Mover mode are most comfortable in positions that allow them to plan, act and see the consequences of their actions. They are well suited to being leaders.
  • Perceiver mode results when the bottom-brain system is highly utilized in optional ways but the top is not. Think of the Dalai Lama or Emily Dickinson
  • People who habitually rely on Perceiver mode try to make sense in depth of what they perceive; they interpret their experiences, place them in context and try to understand the implications.
  • such people—including naturalists, pastors, novelists—typically lead lives away from the limelight. Those who rely on this mode often play a crucial role in a group; they can make sense of events and provide a bigger picture
  • Stimulator mode, which results when the top-brain system is highly utilized but the bottom is not. According to our theory, people who interact with the world in Stimulator mode often create and execute complex and detailed plans (using the top-brain system) but fail to register consistently and accurately the consequences of acting on those plans
  • they may not always note when enough is enough. Their actions can be disruptive, and they may not adjust their behavior appropriately.
  • Examples of people who illustrate Stimulator mode would include Tiger Woods
  • Adaptor mode, which results when neither the top- nor the bottom-brain system is highly utilized in optional ways. People who think in this mode are not caught up in initiating plans, nor are they fully focused on classifying and interpreting what they experience. Instead, they become absorbed by local events and the immediate requirements of the situation
  • They are responsive and action-oriented and tend to "go with the flow." Others see them as free-spirited and fun to be with.
  • those who typically operate in Adaptor mode can be valuable team members. In business, they often form the backbone of an organization, carrying out essential operations.
  • No one mode is "better" than the others. Each is more or less useful in different circumstances, and each contributes something useful to a team. Our theory leads us to expect that you can work with others most productively when you are aware not just of the strengths and weakness of their preferred modes but also of the strengths and weakness of your own preferred mode
grayton downing

Lost in Translation | The Scientist Magazine® - 0 views

  • excessive reporting of positive results in papers that describe animal testing of potential therapies, just like the publishing bias seen in clinical research, according to a paper published today
  • We know publication bias happens a lot in clinical trials,” said Torgerson, “so I was surprised at myself for being surprised at the results, because of course, if it happens in human research, why wouldn’t it happen in animal research?”
  • his suspicions about publication bias by performing a statistical meta-analysis of thousands of reported animal tests for various neurological interventions—a total of 4,445 reported tests of 160 different drugs and other treatments for conditions that included Alzheimer’s disease, Parkinson’s disease, brain ischemia, and more.
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  • One, as mentioned, is the suppression of negative results. The second is selective reporting of only the statistical analyses of data that provide a significant score. “Practically any data set, if it is tortured enough, will confess, and you will get a statistically significant result,”
  • , a publication bias “almost certainly” applies in other areas of preclinical research,
  • he suggested that a forum where investigators can deposit neutral or negative results in the form of articles, should be established to ensure that such findings are in the public arena and not hidden. This should help prevent other researchers from pursuing fruitless avenues of research, he said, “which is a waste of animals and a waste of research money.” Not to mention a risk to people enrolled in potentially pointless trials.
Javier E

Polling's Secrecy Problem - NYTimes.com - 0 views

  • In the polling world, no survey firm releases its microdata in a timely manner. When pollsters release it at all — usually months after publication, to an archive that requires a paid subscription for access — they seldom provide the detailed methodological explanations necessary to replicate the survey results.
  • Critics have raised charges of full-scale fabrication, like that alleged in the LaCour study, about a handful of pollsters in recent years, and such a wholly fraudulent poll might well be able to evade detection.
  • But a bigger problem is that pollsters may be using questionable means to ensure that their results end up in a certain place. Any poll is required to make judgments about exactly how to weight the sample or decide who is likely to vote. But such choices can swing the results by several percentage points, and these decisions can be made with the results in mind.
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  • In particular, there is reason to think that pollsters engage in a behavior known as herding, in which they announce results that are similar to those of other recent polls
  • There is strong evidence that some firms have engaged in herding.
  • The firm has since switched to more conventional weighting techniques, bringing the wild swings in the racial composition of the electorate to an end. Its findings now resemble those of other pollsters: offering no obvious signs of herding, but also not providing the data that would rule it out.
  • the association recently began a transparency initiative intended to address some of the concerns.But few polling organizations have signed up so far, and the transparency initiative’s disclosure standards generally fall short of what is needed to allow others researchers to identify or deter dubious practices.
  • It’s hard to say what’s more telling: that the transparency standards wouldn’t be enough to preclude bad practices, or that so few pollsters seem willing to adhere to even those requirements.
Javier E

Beyond Billboards - The Daily Dish | By Andrew Sullivan - 0 views

  • The Atlantic Home todaysDate();Sunday, December 12, 2010Sunday, December 12, 2010 Go Follow the Atlantic » atlanticPrintlayoutnavigation()Politics Presented ByBack to the Gold Standard? Joshua GreenSenate Dems Lose Vote on 'Don't Ask' RepealMegan Scully & Dan FriedmanA Primary Challenge to Obama? Marc Ambinder Business Presented byif (typeof window.dartOrd == 'undefined') {window.dartOrd = ('000000000' + Math.ceil(Math.random()*1000000000).toString()).slice(-9);}jsProperties = 'TheAtlanticOnline/channel_business;pos=navlogo;sz=88x31,215x64;tile=1';document.write('');if( $(".adNavlogo").html().search("grey.gif") != -1 ){$(".adNavlogo").hide();}Will the Economy Get Jobs for Christmas?Daniel Indiviglio27 Key Facts About US ExportsDerek ThompsonThe Last StimulusDerek Thompson Culture Presented ByThe 10 Biggest Sports Stories of 2010Eleanor Barkhorn and Kevin Fallon al
  • at the force behind all that exists actually intervened in the consciousness of humankind in the form of a man so saturated in godliness that merely being near him healed people of the weight of the world's sins.
Javier E

New Truths That Only One Can See - NYTimes.com - 1 views

  • Replication, the ability of another lab to reproduce a finding, is the gold standard of science, reassurance that you have discovered something true. But that is getting harder all the time.
  • With the most accessible truths already discovered, what remains are often subtle effects, some so delicate that they can be conjured up only under ideal circumstances, using highly specialized techniques.
  • Taking into account the human tendency to see what we want to see, unconscious bias is inevitable.
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  • He and his colleagues could not replicate 47 of 53 landmark papers about cancer. Some of the results could not be reproduced even with the help of the original scientists working in their own labs.
  • Paradoxically the hottest fields, with the most people pursuing the same questions, are most prone to error, Dr. Ioannidis argued. If one of five competing labs is alone in finding an effect, that result is the one likely to be published. But there is a four in five chance that it is wrong. Papers reporting negative conclusions are more easily ignored.
  • The effect is amplified by competition for a shrinking pool of grant money and also by the design of so many experiments — with small sample sizes (cells in a lab dish or people in an epidemiological pool) and weak standards for what passes as statistically significant. That makes it all the easier to fool oneself.
  • The fear that much published research is tainted has led to proposals to make replication easier by providing more detailed documentation, including videos of difficult procedures.
  • A call for the establishment of independent agencies to replicate experiments has led to a backlash, a fear that perfectly good results will be thrown out.
  • Scientists talk about “tacit knowledge,” the years of mastery it can take to perform a technique. The image they convey is of an experiment as unique as a Rembrandt.
  • Embedded in the tacit knowledge may be barely perceptible tweaks and jostles — ways of unknowingly smuggling one’s expectations into the results, like a message coaxed from a Ouija board.
  • Exciting new results will continue to appear. But as the quarry becomes more elusive, the trophies are bound to be fewer and fewer.
Javier E

Google Has Picked an Answer for You-Too Bad It's Often Wrong - WSJ - 1 views

  • Google became the world’s go-to source of information by ranking billions of links from millions of sources. Now, for many queries, the internet giant is presenting itself as the authority on truth by promoting a single search result as the answer.
  • The promoted answers, called featured snippets, are outlined in boxes above other results and presented in larger type, often with images. Google’s voice assistant sometimes reads them aloud
  • They give Google’s secret algorithms even greater power to shape public opinion, given that surveys show people consider search engines their most-trusted source of information, over traditional media or social media.
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  • Google’s featured answers are feeding a raging global debate about the ability of Silicon Valley companies to influence society. Google and other internet giants are under intensifying scrutiny over the power of their products and their vulnerability to bias or manipulation.
  • Featured snippets are “generated algorithmically and [are] a reflection of what people are searching for and what’s available on the web,” the company said in an April blog post. “This can sometimes lead to results that are unexpected, inaccurate or offensive.”
  • Google, a unit of Alphabet Inc., handles almost all internet searches. Featured snippets appear on about 40% of results for searches formed as questions
  • An algorithm chooses featured snippets from websites in part by how closely they appear to satisfy a user’s question, factoring in Google’s measure of a source’s authority and its ranking in the search results.
  • By answering questions directly, Google aims to make the search engine more appealing to users and the advertisers that chase them. The answers’ real estate is so attractive that there is a budding marketing industry around tailoring content so it becomes a featured snippet.
  • as Google expanded the use of featured snippets, it has relied more often on less authoritative sources, such as purveyors of top-10 lists and gossipy clickbait.
  • “For them to wield their algorithm like this is very worrisome,” she said. “This is how people learn about the world.”
Javier E

Nobel Prize in Physics Is Awarded to 3 Scientists for Work Exploring Quantum Weirdness ... - 0 views

  • “We’re used to thinking that information about an object — say that a glass is half full — is somehow contained within the object.” Instead, he says, entanglement means objects “only exist in relation to other objects, and moreover these relationships are encoded in a wave function that stands outside the tangible physical universe.”
  • Einstein, though one of the founders of quantum theory, rejected it, saying famously, God did not play dice with the universe.In a 1935 paper written with Boris Podolsky and Nathan Rosen, he tried to demolish quantum mechanics as an incomplete theory by pointing out that by quantum rules, measuring a particle in one place could instantly affect measurements of the other particle, even if it was millions of miles away.
  • Dr. Clauser, who has a knack for electronics and experimentation and misgivings about quantum theory, was the first to perform Bell’s proposed experiment. He happened upon Dr. Bell’s paper while a graduate student at Columbia University and recognized it as something he could do.
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  • In 1972, using duct tape and spare parts in the basement on the campus of the University of California, Berkeley, Dr. Clauser and a graduate student, Stuart Freedman, who died in 2012, endeavored to perform Bell’s experiment to measure quantum entanglement. In a series of experiments, he fired thousands of light particles, or photons, in opposite directions to measure a property known as polarization, which could have only two values — up or down. The result for each detector was always a series of seemingly random ups and downs. But when the two detectors’ results were compared, the ups and downs matched in ways that neither “classical physics” nor Einstein’s laws could explain. Something weird was afoot in the universe. Entanglement seemed to be real.
  • in 2002, Dr. Clauser admitted that he himself had expected quantum mechanics to be wrong and Einstein to be right. “Obviously, we got the ‘wrong’ result. I had no choice but to report what we saw, you know, ‘Here’s the result.’ But it contradicts what I believed in my gut has to be true.” He added, “I hoped we would overthrow quantum mechanics. Everyone else thought, ‘John, you’re totally nuts.’”
  • the correlations only showed up after the measurements of the individual particles, when the physicists compared their results after the fact. Entanglement seemed real, but it could not be used to communicate information faster than the speed of light.
  • In 1982, Dr. Aspect and his team at the University of Paris tried to outfox Dr. Clauser’s loophole by switching the direction along which the photons’ polarizations were measured every 10 nanoseconds, while the photons were already in the air and too fast for them to communicate with each other. He too, was expecting Einstein to be right.
  • Quantum predictions held true, but there were still more possible loopholes in the Bell experiment that Dr. Clauser had identified
  • For example, the polarization directions in Dr. Aspect’s experiment had been changed in a regular and thus theoretically predictable fashion that could be sensed by the photons or detectors.
  • Anton Zeilinger
  • added even more randomness to the Bell experiment, using random number generators to change the direction of the polarization measurements while the entangled particles were in flight.
  • Once again, quantum mechanics beat Einstein by an overwhelming margin, closing the “locality” loophole.
  • as scientists have done more experiments with entangled particles, entanglement is accepted as one of main features of quantum mechanics and is being put to work in cryptology, quantum computing and an upcoming “quantum internet
  • One of its first successes in cryptology is messages sent using entangled pairs, which can send cryptographic keys in a secure manner — any eavesdropping will destroy the entanglement, alerting the receiver that something is wrong.
  • , with quantum mechanics, just because we can use it, doesn’t mean our ape brains understand it. The pioneering quantum physicist Niels Bohr once said that anyone who didn’t think quantum mechanics was outrageous hadn’t understood what was being said.
  • In his interview with A.I.P., Dr. Clauser said, “I confess even to this day that I still don’t understand quantum mechanics, and I’m not even sure I really know how to use it all that well. And a lot of this has to do with the fact that I still don’t understand it.”
Javier E

Colonic electrical stimulation promotes colonic motility through regeneration of myente... - 0 views

  • Slow transit constipation (STC) is a common disease characterized by markedly delayed colonic transit time as a result of colonic motility dysfunction. It is well established that STC is mostly caused by disorders of relevant nerves, especially the enteric nervous system (ENS).
  • After 5 weeks of treatment, CES could enhance the colonic electromyogram (EMG) signal to promote colonic motility, thereby improving the colonic content emptying of STC beagles. HE staining and transmission electron microscopy confirmed that CES could regenerate ganglia and synaptic vesicles in the myenteric plexus.
  • Taken together, pulse train CES could induce the regeneration of myenteric plexus neurons, thereby promoting the colonic motility in STC beagles.
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  • onic constipation, a functional bowel disorder, affects approximately 14% of adults worldwide [1]. Slow transit constipation (STC) is the major cause of chronic constipation which is characterized by markedly prolonged colonic transit time as a result of the colonic motility function disorde
  • Usually, patients with STC suffer from a common sense of abdominal pain, nausea, depression and sickness, which seriously influence their social ability and health-related quality of life [4–6
  • Current clinical treatments include cathartics, prokinetics and aggressive surgery which can increase bowel movement frequency to a certain degree.
  • However, pharmacological interventions is prone to drug dependency and relapse after drug withdrawal [3]
  • Surgical treatments such as subtotal colectomy and total colectomy in STC patients may adversely affect the quality of life due to the risk of postoperative diarrhea or incontinence, and result in a heavy healthcare burden
  • The enteric nervous system (ENS), located in the intestinal wall, regulates various functions including contraction of intestine, homeostasis and blood flow [10]. As the ‘second brain’, the ENS contains large amounts of neurons working independently from the central nervous system [11]. Researches have identified that STCs are mostly caused by disorders of the relevant nerves, especially the ENS [12,13].
  • McCallum et al. [35] found that gastric electrical stimulation in combination with pharmacological treatment could also enhance emptying in patients with gastroparesis. Especially, gastric electrical stimulation has been approved as a clinical therapy method for gastroparesis and obesity in European and American countries [36].
  • we employed pulse train stimulation and implanted electrodes at the proximal colon in dogs.
  • After CES treatment, we observed the colonic transit time of the sham treatment group was longer than that of CES treatment and control groups, and electrical stimulation significantly enhanced the colonic electromyogram (EMG) signal.
  • histopathology and TEM analysis showed increased ganglia and synaptic vesicles existing in the colon myenteric plexus of the CES treatment group as compared with that of the sham CES group
  • Our results suggested that CES might reduce the degeneration of the myenteric plexus neurons, thereby contributing to the therapeutic effect on STC beagles.
  • the defecating frequency and the feces characteristics of STC beagles returned to normal after CES treatment. The result indicated that CES could improve the symptoms of STC.
  • The colonic EMG signal was strongly promoted by CES
  • Especially, the colonic EMG signal of the beagles with STC was remarkably enhanced by CES (Figure 3), indicating that CES could not only improve the colonic content emptying, but also enhance the EMG signal to promote colonic motility.
  • Colonic electrical stimulation (CES), a valuable alternative for the treatment of STC, was reported to improve the colon motility by adjusting the bioelectrical activity in animal models or patients with STC [17]. However, little report focuses on the underlying nervous mechanism to normalize the delayed colonic emptying and relieve symptoms. We hypothesized that CES may also repair the disorders of the relevant nerves and then improve the colonic motility.
  • The first study regarding the CES to modulate colonic motility was performed by Hughes et al. [37]. Since then, many researchers employed short-pulse CES in canine descending colon or pig cecum [20,21,38]. Researchers also applied long-pulse CES to stimulate the colon of human or animals [39]
  • Recently, studies showed that the prokinetic effect of pulse train CES is better than that of short-pulse CES or long-pulse CES [25]
  • Our study indicated that CES could enhance the colonic motility, and then accelerate the colonic content emptying. Thereafter, we investigated the underlying mechanism and presumed that CES might improve the STC symptom through the repairment of the ENS.
  • The neuropathy in ENS is considered to be responsible for various kinds of disordered motility including STC and the related pathophysiologic symptoms [40]. In agreement with this view, our study discovered the decreased number of ganglia in the myenteric plexus, as well as the destruction of the enteric nerve axon terminals and synaptic vesicles in the sham CES group beagles
  • The present study proves that CES with pulse trains has curative effects on the colonic motility and content emptying in STC beagles. The up-regulation of intestinal nerve related proteins such as SYP, PGP9.5, CAD and S-100B in the colonic myenteric plexus suggests that CES might reduce the degeneration of the myenteric plexus neurons, thereby producing the therapeutic effect on STC beagles. Further investigation for the underlying mechanism of nerve regeneration is necessary to better understand how CES promotes the recovery of delayed colonic motility induced by STC.
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