Skip to main content

Home/ TOK Friends/ Group items tagged hypothesis

Rss Feed Group items tagged

sissij

Why Killer Whales Go Through Menopause - The New York Times - 0 views

  • A new study on killer whales, published on Thursday in Current Biology, suggests reproductive conflict between mothers and daughters may have played an important role in the evolution of menopause.
  • Yet they can live to be more than 90, meaning they might spend up to two-thirds of their lives not birthing any offspring.
  • But the unique demography of killer whale social groups may motivate younger females to invest more competitive effort into reproduction
  • ...3 more annotations...
  • But older females who have more offspring, and thus share more of the group’s genes, are more likely to cooperate by sharing food and knowledge.
  • She believes the primary reason women live so long after menopause is because they help improve the survival of grandchildren, which helps pass their own genes on.
  • To him, that’s where reproductive conflict comes in. “You have to not only look at the gains, but the costs you would suffer if you continue to breed.”
  •  
    From the TOK class, we learned that the paradigm for biology is Darwin's theory of evolution. From this article, I can clearly see that the hypothesis and reasoning made to explain why killer whales have menopause are all depending on the premise that they are having it for good and necessity. The debate over whether the grandmother hypothesis sounds is still going through vigorous discussion within the scientist community. --Sissi (1/13/2017)
sissij

First-born children have better thinking skills, study says | Society | The Guardian - 0 views

  • They may be jokingly referred to as PFBs – precious first borns – on popular parenting websites, but a study says first-born children really do reap the benefits of being number one.
  • the first-born generally received more help with tasks that develop thinking skills.
  • The study found parents changed their behaviour as they had more children, giving less mental stimulation and taking part in fewer activities like reading with the child, crafts and playing musical instruments.
  •  
    I find this research interesting. In this research, the researchers did a population observation, which is similar to the population method mentioned in evolutionary biology. The author also discussed a lot of hypothesis why the first born child tends to have better thinking skills. The author don't have direct evidence pointing to his hypothesis, the tendency is a fact. Although there are a lot of uncertainties in this research, this result might appeal to many first born children and make them feel a little more superior. --Sissi (2/9/2017)
Javier E

Joshua Foer: John Quijada and Ithkuil, the Language He Invented : The New Yorker - 2 views

  • Languages are something of a mess. They evolve over centuries through an unplanned, democratic process that leaves them teeming with irregularities, quirks, and words like “knight.” No one who set out to design a form of communication would ever end up with anything like English, Mandarin, or any of the more than six thousand languages spoken today.“Natural languages are adequate, but that doesn’t mean they’re optimal,” John Quijada, a fifty-four-year-old former employee of the California State Department of Motor Vehicles, told me. In 2004, he published a monograph on the Internet that was titled “Ithkuil: A Philosophical Design for a Hypothetical Language.” Written like a linguistics textbook, the fourteen-page Web site ran to almost a hundred and sixty thousand words. It documented the grammar, syntax, and lexicon of a language that Quijada had spent three decades inventing in his spare time. Ithkuil had never been spoken by anyone other than Quijada, and he assumed that it never would be.
  • his “greater goal” was “to attempt the creation of what human beings, left to their own devices, would never create naturally, but rather only by conscious intellectual effort: an idealized language whose aim is the highest possible degree of logic, efficiency, detail, and accuracy in cognitive expression via spoken human language, while minimizing the ambiguity, vagueness, illogic, redundancy, polysemy (multiple meanings) and overall arbitrariness that is seemingly ubiquitous in natural human language.”
  • Ithkuil, one Web site declared, “is a monument to human ingenuity and design.” It may be the most complete realization of a quixotic dream that has entranced philosophers for centuries: the creation of a more perfect language.
  • ...25 more annotations...
  • Since at least the Middle Ages, philosophers and philologists have dreamed of curing natural languages of their flaws by constructing entirely new idioms according to orderly, logical principles.
  • nventing new forms of speech is an almost cosmic urge that stems from what the linguist Marina Yaguello, the author of “Lunatic Lovers of Language,” calls “an ambivalent love-hate relationship.” Language creation is pursued by people who are so in love with what language can do that they hate what it doesn’t. “I don’t believe any other fantasy has ever been pursued with so much ardor by the human spirit, apart perhaps from the philosopher’s stone or the proof of the existence of God; or that any other utopia has caused so much ink to flow, apart perhaps from socialism,”
  • What if, they wondered, you could create a universal written language that could be understood by anyone, a set of “real characters,” just as the creation of Arabic numerals had done for counting? “This writing will be a kind of general algebra and calculus of reason, so that, instead of disputing, we can say that ‘we calculate,’ ” Leibniz wrote, in 1679.
  • In his “Essay Towards a Real Character, and a Philosophical Language,” from 1668, Wilkins laid out a sprawling taxonomic tree that was intended to represent a rational classification of every concept, thing, and action in the universe. Each branch along the tree corresponded to a letter or a syllable, so that assembling a word was simply a matter of tracing a set of forking limbs
  • Solresol, the creation of a French musician named Jean-François Sudre, was among the first of these universal languages to gain popular attention. It had only seven syllables: Do, Re, Mi, Fa, So, La, and Si. Words could be sung, or performed on a violin. Or, since the language could also be translated into the seven colors of the rainbow, sentences could be woven into a textile as a stream of colors.
  • “I had this realization that every individual language does at least one thing better than every other language,” he said. For example, the Australian Aboriginal language Guugu Yimithirr doesn’t use egocentric coördinates like “left,” “right,” “in front of,” or “behind.” Instead, speakers use only the cardinal directions. They don’t have left and right legs but north and south legs, which become east and west legs upon turning ninety degrees
  • Among the Wakashan Indians of the Pacific Northwest, a grammatically correct sentence can’t be formed without providing what linguists refer to as “evidentiality,” inflecting the verb to indicate whether you are speaking from direct experience, inference, conjecture, or hearsay.
  • Quijada began wondering, “What if there were one single language that combined the coolest features from all the world’s languages?”
  • he started scribbling notes on an entirely new grammar that would eventually incorporate not only Wakashan evidentiality and Guugu Yimithirr coördinates but also Niger-Kordofanian aspectual systems, the nominal cases of Basque, the fourth-person referent found in several nearly extinct Native American languages, and a dozen other wild ways of forming sentences.
  • he discovered “Metaphors We Live By,” a seminal book, published in 1980, by the cognitive linguists George Lakoff and Mark Johnson, which argues that the way we think is structured by conceptual systems that are largely metaphorical in nature. Life is a journey. Time is money. Argument is war. For better or worse, these figures of speech are profoundly embedded in how we think.
  • I asked him if he could come up with an entirely new concept on the spot, one for which there was no word in any existing language. He thought about it for a moment. “Well, no language, as far as I know, has a single word for that chin-stroking moment you get, often accompanied by a frown on your face, when someone expresses an idea that you’ve never thought of and you have a moment of suddenly seeing possibilities you never saw before.” He paused, as if leafing through a mental dictionary. “In Ithkuil, it’s ašţal.”
  • Many conlanging projects begin with a simple premise that violates the inherited conventions of linguistics in some new way. Aeo uses only vowels. Kēlen has no verbs. Toki Pona, a language inspired by Taoist ideals, was designed to test how simple a language could be. It has just a hundred and twenty-three words and fourteen basic sound units. Brithenig is an answer to the question of what English might have sounded like as a Romance language, if vulgar Latin had taken root on the British Isles. Láadan, a feminist language developed in the early nineteen-eighties, includes words like radíidin, defined as a “non-holiday, a time allegedly a holiday but actually so much a burden because of work and preparations that it is a dreaded occasion; especially when there are too many guests and none of them help.”
  • most conlangers come to their craft by way of fantasy and science fiction. J. R. R. Tolkien, who called conlanging his “secret vice,” maintained that he created the “Lord of the Rings” trilogy for the primary purpose of giving his invented languages, Quenya, Sindarin, and Khuzdul, a universe in which they could be spoken. And arguably the most commercially successful invented language of all time is Klingon, which has its own translation of “Hamlet” and a dictionary that has sold more than three hundred thousand copies.
  • He imagined that Ithkuil might be able to do what Lakoff and Johnson said natural languages could not: force its speakers to precisely identify what they mean to say. No hemming, no hawing, no hiding true meaning behind jargon and metaphor. By requiring speakers to carefully consider the meaning of their words, he hoped that his analytical language would force many of the subterranean quirks of human cognition to the surface, and free people from the bugs that infect their thinking.
  • Brown based the grammar for his ten-thousand-word language, called Loglan, on the rules of formal predicate logic used by analytical philosophers. He hoped that, by training research subjects to speak Loglan, he might turn them into more logical thinkers. If we could change how we think by changing how we speak, then the radical possibility existed of creating a new human condition.
  • today the stronger versions of the Sapir-Whorf hypothesis have “sunk into . . . disrepute among respectable linguists,” as Guy Deutscher writes, in “Through the Looking Glass: Why the World Looks Different in Other Languages.” But, as Deutscher points out, there is evidence to support the less radical assertion that the particular language we speak influences how we perceive the world. For example, speakers of gendered languages, like Spanish, in which all nouns are either masculine or feminine, actually seem to think about objects differently depending on whether the language treats them as masculine or feminine
  • The final version of Ithkuil, which Quijada published in 2011, has twenty-two grammatical categories for verbs, compared with the six—tense, aspect, person, number, mood, and voice—that exist in English. Eighteen hundred distinct suffixes further refine a speaker’s intent. Through a process of laborious conjugation that would befuddle even the most competent Latin grammarian, Ithkuil requires a speaker to home in on the exact idea he means to express, and attempts to remove any possibility for vagueness.
  • Every language has its own phonemic inventory, or library of sounds, from which a speaker can string together words. Consonant-poor Hawaiian has just thirteen phonemes. English has around forty-two, depending on dialect. In order to pack as much meaning as possible into each word, Ithkuil has fifty-eight phonemes. The original version of the language included a repertoire of grunts, wheezes, and hacks that are borrowed from some of the world’s most obscure tongues. One particular hard-to-make clicklike sound, a voiceless uvular ejective affricate, has been found in only a few other languages, including the Caucasian language Ubykh, whose last native speaker died in 1992.
  • Human interactions are governed by a set of implicit codes that can sometimes seem frustratingly opaque, and whose misreading can quickly put you on the outside looking in. Irony, metaphor, ambiguity: these are the ingenious instruments that allow us to mean more than we say. But in Ithkuil ambiguity is quashed in the interest of making all that is implicit explicit. An ironic statement is tagged with the verbal affix ’kçç. Hyperbolic statements are inflected by the letter ’m.
  • “I wanted to use Ithkuil to show how you would discuss philosophy and emotional states transparently,” Quijada said. To attempt to translate a thought into Ithkuil requires investigating a spectrum of subtle variations in meaning that are not recorded in any natural language. You cannot express a thought without first considering all the neighboring thoughts that it is not. Though words in Ithkuil may sound like a hacking cough, they have an inherent and unavoidable depth. “It’s the ideal language for political and philosophical debate—any forum where people hide their intent or obfuscate behind language,” Quijada co
  • In Ithkuil, the difference between glimpsing, glancing, and gawking is the mere flick of a vowel. Each of these distinctions is expressed simply as a conjugation of the root word for vision. Hunched over the dining-room table, Quijada showed me how he would translate “gawk” into Ithkuil. First, though, since words in Ithkuil are assembled from individual atoms of meaning, he had to engage in some introspection about what exactly he meant to say.For fifteen minutes, he flipped backward and forward through his thick spiral-bound manuscript, scratching his head, pondering each of the word’s aspects, as he packed the verb with all of gawking’s many connotations. As he assembled the evolving word from its constituent meanings, he scribbled its pieces on a notepad. He added the “second degree of the affix for expectation of outcome” to suggest an element of surprise that is more than mere unpreparedness but less than outright shock, and the “third degree of the affix for contextual appropriateness” to suggest an element of impropriety that is less than scandalous but more than simply eyebrow-raising. As he rapped his pen against the notepad, he paged through his manuscript in search of the third pattern of the first stem of the root for “shock” to suggest a “non-volitional physiological response,” and then, after several moments of contemplation, he decided that gawking required the use of the “resultative format” to suggest “an event which occurs in conjunction with the conflated sense but is also caused by it.” He eventually emerged with a tiny word that hardly rolled off the tongue: apq’uxasiu. He spoke the first clacking syllable aloud a couple of times before deciding that he had the pronunciation right, and then wrote it down in the script he had invented for printed Ithkuil:
  • “You can make up words by the millions to describe concepts that have never existed in any language before,” he said.
  • Neither Sapir nor Whorf formulated a definitive version of the hypothesis that bears their names, but in general the theory argues that the language we speak actually shapes our experience of reality. Speakers of different languages think differently. Stronger versions of the hypothesis go even further than this, to suggest that language constrains the set of possible thoughts that we can have. In 1955, a sociologist and science-fiction writer named James Cooke Brown decided he would test the Sapir-Whorf hypothesis by creating a “culturally neutral” “model language” that might recondition its speakers’ brains.
  • “We think that when a person learns Ithkuil his brain works faster,” Vishneva told him, in Russian. She spoke through a translator, as neither she nor Quijada was yet fluent in their shared language. “With Ithkuil, you always have to be reflecting on yourself. Using Ithkuil, we can see things that exist but don’t have names, in the same way that Mendeleyev’s periodic table showed gaps where we knew elements should be that had yet to be discovered.”
  • Lakoff, who is seventy-one, bearded, and, like Quijada, broadly built, seemed to have read a fair portion of the Ithkuil manuscript and familiarized himself with the language’s nuances.“There are a whole lot of questions I have about this,” he told Quijada, and then explained how he felt Quijada had misread his work on metaphor. “Metaphors don’t just show up in language,” he said. “The metaphor isn’t in the word, it’s in the idea,” and it can’t be wished away with grammar.“For me, as a linguist looking at this, I have to say, ‘O.K., this isn’t going to be used.’ It has an assumption of efficiency that really isn’t efficient, given how the brain works. It misses the metaphor stuff. But the parts that are successful are really nontrivial. This may be an impossible language,” he said. “But if you think of it as a conceptual-art project I think it’s fascinating.”
Javier E

Journal's Article on ESP Is Expected to Prompt Outrage - NYTimes.com - 0 views

  • Dr. Bem is far from typical. He is widely respected for his clear, original thinking in social psychology, and some people familiar with the case say his reputation may have played a role in the paper’s acceptance.
  • Peer review is usually an anonymous process, with authors and reviewers unknown to one another. But all four reviewers of this paper were social psychologists, and all would have known whose work they were checking and would have been responsive to the way it was reasoned.
  • Perhaps more important, none were topflight statisticians. “The problem was that this paper was treated like any other,” said an editor at the journal, Laura King, a psychologist at the University of Missouri. “And it wasn’t.” Many statisticians say that conventional social-science techniques for analyzing data make an assumption that is disingenuous and ultimately self-deceiving: that researchers know nothing about the probability of the so-called null hypothesis. In this case, the null hypothesis would be that ESP does not exist. Refusing to give that hypothesis weight makes no sense, these experts say; if ESP exists, why aren’t people getting rich by reliably predicting the movement of the stock market or the outcome of football games? Instead, these statisticians prefer a technique called Bayesian analysis, which seeks to determine whether the outcome of a particular experiment “changes the odds that a hypothesis is true,”
  • ...1 more annotation...
  • So far, at least three efforts to replicate the experiments have failed.
kaylynfreeman

Opinion | The Social Sciences' 'Physics Envy' - The New York Times - 0 views

  • Economists, political scientists and sociologists have long suffered from an academic inferiority complex: physics envy. They often feel that their disciplines should be on a par with the “real” sciences and self-consciously model their work on them, using language (“theory,” “experiment,” “law”) evocative of physics and chemistry.
  • Many social scientists contend that science has a method, and if you want to be scientific, you should adopt it. The method requires you to devise a theoretical model, deduce a testable hypothesis from the model and then test the hypothesis against the world. If the hypothesis is confirmed, the theoretical model holds; if the hypothesis is not confirmed, the theoretical model does not hold. If your discipline does not operate by this method — known as hypothetico-deductivism — then in the minds of many, it’s not scientific.
  • it’s not even a good description of how the “hard” sciences work. It’s a high school textbook version of science, with everything messy and chaotic about scientific inquiry safely ignored.
  • ...9 more annotations...
  • For the sake of everyone who stands to gain from a better knowledge of politics, economics and society, the social sciences need to overcome their inferiority complex, reject hypothetico-deductivism and embrace the fact that they are mature disciplines with no need to emulate other sciences.
  • Or consider the famous “impossibility theorem,” developed by the economist Kenneth Arrow, which shows that no single voting system can simultaneously satisfy several important principles of fairness. There is no need to test this model with data — in fact, there is no way to test it — and yet the result offers policy makers a powerful lesson: there are unavoidable trade-offs in the design of voting systems.
  • Unfortunately, the belief that every theory must have its empirical support (and vice versa) now constrains the kinds of social science projects that are undertaken, alters the trajectory of academic careers and drives graduate training. Rather than attempt to imitate the hard sciences, social scientists would be better off doing what they do best: thinking deeply about what prompts human beings to behave the way they do.
  • theoretical models can be of great value even if they are never supported by empirical testing. In the 1950s, for instance, the economist Anthony Downs offered an elegant explanation for why rival political parties might adopt identical platforms during an election campaign. His model relied on the same strategic logic that explains why two competing gas stations or fast-food restaurants locate across the street from each other — if you don’t move to a central location but your opponent does, your opponent will nab those voters (customers). The best move is for competitors to mimic each other. This framework has proven useful to generations of political scientists even though Mr. Downs did not empirically test it and despite the fact that its main prediction, that candidates will take identical positions in elections, is clearly false. The model offered insight into why candidates move toward the center in competitive elections
  • Likewise, the analysis of empirical data can be valuable even in the absence of a grand theoretical model. Did the welfare reform championed by Bill Clinton in the 1990s reduce poverty? Are teenage employees adversely affected by increases in the minimum wage?
  • Answering such questions about the effects of public policies does not require sweeping theoretical claims, just careful attention to the data.
  • theories are like maps: the test of a map lies not in arbitrarily checking random points but in whether people find it useful to get somewhere.
  • Economists, political scientists and sociologists have long suffered from an academic inferiority complex: physics envy. They often feel that their disciplines should be on a par with the “real” sciences and self-consciously model their work on them, using language (“theory,” “experiment,” “law”) evocative of physics and chemistry.
  • The ideal of hypothetico-deductivism is flawed for many reasons. For one thing,
sanderk

The Exaggerated Promise of So-Called Unbiased Data Mining | WIRED - 1 views

  • The Feynman trap—ransacking data for patterns without any preconceived idea of what one is looking for—is the Achilles heel of studies based on data mining. Finding something unusual or surprising after it has already occurred is neither unusual nor surprising. Patterns are sure to be found, and are likely to be misleading, absurd, or worse.
  • A standard neuroscience experiment involves showing a volunteer in an MRI machine various images and asking questions about the images. The measurements are noisy, picking up magnetic signals from the environment and from variations in the density of fatty tissue in different parts of the brain. Sometimes they miss brain activity; sometimes they suggest activity where there is none.A Dartmouth graduate student used an MRI machine to study the brain activity of a salmon as it was shown photographs and asked questions. The most interesting thing about the study was not that a salmon was studied, but that the salmon was dead. Yep, a dead salmon purchased at a local market was put into the MRI machine, and some patterns were discovered. There were inevitably patterns—and they were invariably meaningless.
  •  
    This article relates to our discussion in class about data mining. Scientists assume that patterns in data are true instead of making a hypothesis and trying to see if their hypothesis is true. These assumptions can lead to false conclusions. Also, this article talks about how people go through all of this data without knowing what they are looking for. When someone does this, it is called The Feynman Trap. I also found it interesting how someone studied the brain activity of a dead fish and still found patterns.
aliciathompson1

Exploring the Limitations of the Scientific Method | The Institute for Creation Research - 0 views

  • Observation and description of a phenomenon or group of phenomena. Formulation of a hypothesis to explain the phenomena. (In physics, the hypothesis often takes the form of a mathematical relationship.) Use of the hypothesis to predict other phenomena or to predict quantitatively the results of new observations. Performance of experimental tests of the predictions by several independent experimenters.
  • As Professor Wolfs mentions above, "personal and cultural beliefs influence both our perceptions and our interpretations of natural phenomena."
  • In summary, science is a social enterprise. Scientists are human and share the same weaknesses as all members of the human race.
  •  
    Scientific method
fischerry

Introduction to the Scientific Method - 0 views

  • Observation and description of a phenomenon or group of phenomena. 2. Formulation of an hypothesis to explain the phenomena. In physics, the hypothesis often takes the form of a causal mechanism or a mathematical relation. 3. Use of the hypothesis to predict the existence of other phenomena, or to predict quantitatively the results of new observations. 4. Performance of experimental tests of the predictions by several independent experimenters and properly performed experiments.
Maria Delzi

How Life Began: New Clues | TIME.com - 0 views

  • Astronomers recently announced that there could be an astonishing 20 billion Earthlike planets in the Milky Way
  • How abundant life actually is, however, hinges on one crucial factor: given the right conditions and the right raw materials,
  • what is the mathematical likelihood that life will actually would arise?
  • ...8 more annotations...
  • biology would have to be popping up all over the place.
  • Andrew Ellington, of the Center for Systems and Synthetic Biology at the University of Texas, Austin, “I can’t tell you what the probability is. It’s a chapter of the story that’s pretty much blank.”
  • Given that rather bleak-sounding assessment, it may be surprising to learn that Ellington is actually pretty upbeat. But that’s how he and two colleagues come across in a paper in the latest Science. The crucial step from nonliving stuff to a live cell is still a mystery, they acknowledge, but the number of pathways a mix of inanimate chemicals could have taken to reach the threshold of the living turns out to be many and varied. “It’s difficult to say exactly how things did occur,” says Ellington. “But there are many ways it could have occurred.
  • The first stab at answering the question came all the way back in the 1950s, when chemists Stanley Miller and Harold Urey passed an electrical spark through a beaker containing methane, ammonia, water vapor and hydrogen, thought at the time to represent Earth’s primordial atmosphere.
  • Scientists have learned so much, in fact, that the number of places life might have begun has grown to include such disparate locations as the hydrothermal vents at the bottom of the ocean; beds of clay; the billowing clouds of gas emerging from volcanoes; and the spaces in between ice crystals.
  • The number of ideas about how the key step from organic chemicals to living organisms might have been taken has multiplied as well: there’s the “RNA world hypothesis” and the “lipid world hypothesis” and the “iron-sulfur world hypothesis” and more, all of them dependent on a particular set of chemical circumstances and a particular set of dynamics and all highly speculative.
  • “Maybe when they do,” says Ellington, “we’ll all do a face-plant because it turns out to be so obvious in retrospect.” But even if they succeed, it will only prove that a manufactured cell could represent the earliest life forms, not that it actually does. “It will be a story about what we think might have happened, but it will still be a story.”
  • The story Ellington and his colleagues have been able to tell already, however, is a reason for optimism. We still don’t know the odds that life will arise under the right conditions. But the underlying biochemistry is abundantly, ubiquitously available—and it would take an awfully perverse universe to take things so far only to shut them down at the last moment.
Javier E

Rationally Speaking: Razoring Ockham's razor - 0 views

  • Philosophers often refer to this as the principle of economy, while scientists tend to call it parsimony. Skeptics invoke it every time they wish to dismiss out of hand claims of unusual phenomena
  • The obvious question to ask about Ockham’s razor is: why? On what basis are we justified to think that, as a matter of general practice, the simplest hypothesis is the most likely one to be true? Setting aside the surprisingly difficult task of operationally defining “simpler” in the context of scientific hypotheses (it can be done, but only in certain domains, and it ain’t straightforward), there doesn’t seem to be any particular logical or metaphysical reason to believe that the universe is a simple as it could be.
  • Pierre Duhem suggested in 1908 that, as Sober puts it: “it is wrong to think that hypothesis H makes predictions about observation O; it is the conjunction of H&A [where A is a set of auxiliary hypotheses] that issues in testable consequences.”
  • ...5 more annotations...
  • The history of science is replete with examples of simpler (“more elegant,” if you are aesthetically inclined) hypotheses that had to yield to more clumsy and complicated ones.
  • This is both why there is no such thing as a “crucial” experiment in science (you always need to repeat them under a variety of conditions), and why naive Popperian falsificationism is wrong (you can never falsify a hypothesis directly, only the H&A complex can be falsified).
  • The Duhem thesis explains why Sober is right, I think, in maintaining that the razor works (when it does) given certain background assumptions that are bound to be discipline- and problem-specific.
  • So, Ockham’s razor is a sharp but not universal tool, and needs to be wielded with the proper care due to the specific circumstances.
  • There is no shortcut for a serious investigation of the world, including the spelling out of our auxiliary, and often unexplored, hypotheses and assumptions.
Javier E

Is our world a simulation? Why some scientists say it's more likely than not | Technolo... - 3 views

  • Musk is just one of the people in Silicon Valley to take a keen interest in the “simulation hypothesis”, which argues that what we experience as reality is actually a giant computer simulation created by a more sophisticated intelligence
  • Oxford University’s Nick Bostrom in 2003 (although the idea dates back as far as the 17th-century philosopher René Descartes). In a paper titled “Are You Living In a Simulation?”, Bostrom suggested that members of an advanced “posthuman” civilization with vast computing power might choose to run simulations of their ancestors in the universe.
  • If we believe that there is nothing supernatural about what causes consciousness and it’s merely the product of a very complex architecture in the human brain, we’ll be able to reproduce it. “Soon there will be nothing technical standing in the way to making machines that have their own consciousness,
  • ...14 more annotations...
  • At the same time, videogames are becoming more and more sophisticated and in the future we’ll be able to have simulations of conscious entities inside them.
  • “Forty years ago we had Pong – two rectangles and a dot. That’s where we were. Now 40 years later, we have photorealistic, 3D simulations with millions of people playing simultaneously and it’s getting better every year. And soon we’ll have virtual reality, we’ll have augmented reality,” said Musk. “If you assume any rate of improvement at all, then the games will become indistinguishable from reality.”
  • “If one progresses at the current rate of technology a few decades into the future, very quickly we will be a society where there are artificial entities living in simulations that are much more abundant than human beings.
  • If there are many more simulated minds than organic ones, then the chances of us being among the real minds starts to look more and more unlikely. As Terrile puts it: “If in the future there are more digital people living in simulated environments than there are today, then what is to say we are not part of that already?”
  • Reasons to believe that the universe is a simulation include the fact that it behaves mathematically and is broken up into pieces (subatomic particles) like a pixelated video game. “Even things that we think of as continuous – time, energy, space, volume – all have a finite limit to their size. If that’s the case, then our universe is both computable and finite. Those properties allow the universe to be simulated,” Terrile said
  • “Is it logically possible that we are in a simulation? Yes. Are we probably in a simulation? I would say no,” said Max Tegmark, a professor of physics at MIT.
  • “In order to make the argument in the first place, we need to know what the fundamental laws of physics are where the simulations are being made. And if we are in a simulation then we have no clue what the laws of physics are. What I teach at MIT would be the simulated laws of physics,”
  • Terrile believes that recognizing that we are probably living in a simulation is as game-changing as Copernicus realizing that the Earth was not the center of the universe. “It was such a profound idea that it wasn’t even thought of as an assumption,”
  • That we might be in a simulation is, Terrile argues, a simpler explanation for our existence than the idea that we are the first generation to rise up from primordial ooze and evolve into molecules, biology and eventually intelligence and self-awareness. The simulation hypothesis also accounts for peculiarities in quantum mechanics, particularly the measurement problem, whereby things only become defined when they are observed.
  • “For decades it’s been a problem. Scientists have bent over backwards to eliminate the idea that we need a conscious observer. Maybe the real solution is you do need a conscious entity like a conscious player of a video game,
  • How can the hypothesis be put to the test
  • scientists can look for hallmarks of simulation. “Suppose someone is simulating our universe – it would be very tempting to cut corners in ways that makes the simulation cheaper to run. You could look for evidence of that in an experiment,” said Tegmark
  • First, it provides a scientific basis for some kind of afterlife or larger domain of reality above our world. “You don’t need a miracle, faith or anything special to believe it. It comes naturally out of the laws of physics,”
  • it means we will soon have the same ability to create our own simulations. “We will have the power of mind and matter to be able to create whatever we want and occupy those worlds.”
katedriscoll

Confirmation bias - 0 views

  • In psychology and cognitive science, confirmation bias (or confirmatory bias) is a tendency to search for or interpret information in a way that confirms one's preconceptions, leading to statistical errors. Confirmation bias is a type of cognitive bias and represents an error of inductive inference toward confirmation of the hypothesis under study. Confirmation bias is a phenomenon wherein decision makers have been shown to actively seek out and assign more weight to evidence that confirms their hypothesis, and ignore or underweigh evidence that could disconfirm their hypothesis. As such, it can be thought of as a form of selection bias in collecting evidence.
caelengrubb

Problems with 'the scientific method' | Science News for Students - 0 views

  • It’s a sequence of steps that take you from asking a question to arriving at a conclusion. But scientists rarely follow the steps of the scientific method as textbooks describe it.
  • “The scientific method is a myth,” asserts Gary Garber, a physics teacher at Boston University Academy.
  • It was invented by historians and philosophers of science during the last century to make sense of how science works. Unfortunately, he says, the term is usually interpreted to mean there is only one, step-by-step approach to science.
  • ...11 more annotations...
  • “There isn’t one method of ‘doing science.’”
  • In fact, he notes, there are many paths to finding out the answer to something. Which route a researcher chooses may depend on the field of science being studied. It might also depend on whether experimentation is possible, affordable — even ethical.
  • In the future, she says, students and teachers will be encouraged to think not about the scientific method, but instead about “practices of science” — or the many ways in which scientists look for answers.
  • But that one-size-fits-all approach doesn’t reflect how scientists in different fields actually “do” science,
  • In contrast, geologists, scientists who study the history of Earth as recorded in rocks, won’t necessarily do experiments
  • For example, experimental physicists are scientists who study how particles such as electrons, ions and protons behave. These scientists might perform controlled experiments, starting with clearly defined initial conditions. Then they will change one variable, or factor, at a time.
  • Geologists are still collecting evidence, “but it’s a different kind of evidence.”
  • A hypothesis is a testable idea or explanation for something. Starting with a hypothesis is a good way to do science, she acknowledges, “but it’s not the only way.”
  • “Often, we just start by saying, ‘I wonder’“ Singer says. “Maybe it gives rise to a hypothesis.” Other times, she says, you may need to first gather some data and look to see if a pattern emerges.
  • Mistakes and unexpected results can be blessings in disguise.
  • An experiment that doesn’t give the results that a scientist expected does not necessarily mean a researcher did something wrong. In fact, mistakes often point to unexpected results — and sometimes more important data — than the findings that scientists initially anticipated.
caelengrubb

Opinion | There Is No Scientific Method - The New York Times - 0 views

  • Maybe the method on which science relies exists wherever we find systematic investigation. In saying there is no scientific method, what I mean, more precisely, is that there is no distinctly scientific method.
  • Our knowledge separates into layers: Experience provides a base for a higher layer of more conceptual understanding. This is as true for poetry as for science.
  • Suppose you and I try to define courage. We would begin with the meaning that is familiar to both of us. This shared meaning will be used to check proposed definitions and provide typical examples of it. Commonly, we may not be able to explain what something is, but we know it when we see it
  • ...6 more annotations...
  • Yet we wouldn’t accept such a definition even if it itemized every possible exception. Why? Because, from a different point of view, this definition is inadequate: not because it fails to bring the meaning of the definition closer to the actual meaning of courage, but because all it does is try to save the original definition by tacking on ad hoc exceptions.
  • When a scientist tests a hypothesis and finds that its predictions do not quite match available observations, there is always the option of forcing the hypothesis to fit the data.
  • One can resort to curve-fitting, in which a hypothesis is patched together from different independent pieces, each piece more or less fitting a different part of the data
  • The lesson is that it is not just the observed facts that drive a scientist’s theorizing
  • Science education, however, has persistently relied more on empirical fit as its trump card, perhaps partly to separate science from those dangerous seat-of-the-pants theorizings (including philosophy) that pretend to find their way apart from such evidence.
  • Yet in science, just as in defining a concept like courage, ad hoc exceptions are sometimes exactly what are needed
Javier E

Survival Of The Highest « The Dish - 0 views

  • the Savanna-IQ Interaction H
  • this hypothesis predicts that individuals of higher intelligence are more likely to engage in novel behavior that goes against cultural traditions or social norms.
  • a forty-year-long study funded by the British government paralleled this hypothesis, and found that “very bright” individuals with IQs above 125 were about twice as likely to have tried psychoactive drugs than “very dull” individuals with IQs below 75. As Kanazawa explains, “Intelligent people don’t always do the ‘right’ thing, only the evolutionarily novel thing.”
sissij

Training the brain to boost self-confidence - Medical News Today - 0 views

  • Self-confidence is generally defined as the belief in one's own abilities. As the University of Queensland in Australia put it, self-confidence describes "an internal state made up of what we think and feel about ourselves."
  • low self-confidence can also increase the risk of mental health problems, such as depression and bipolar disorder.
  • The researchers came to their findings through the use of a novel imaging technique known as "decoded neurofeedback." This involves brain scans to monitor complex brain activity patterns.
  •  
    Scientists use patterns to in the experiment to make hypothesis. I find it interesting that although correlation does not mean causation, it is still very useful for inductive reasoning. This article also talks about how confidence can affect ourselves, and how we can affect out confidence. The definition of confidence here states that confidence is our belief in ourselves. Why do we need confidence? Why do we need an internal statement to reassure us that our decision is right? --Sissi (12/22/2016)
sissij

Scientists have a theory on why you break eye contact | Fox News - 1 views

  • they write that eye contact actually "disrupts resources available to cognitive control processes during verb generation." In other words, when you need to come up with certain words under certain circumstances, maintaining eye contact depletes the very brain resources you need to find the word.
  • but Scientific American suggests that if looking away while thinking is cross-cultural, "perhaps cultures with less emphasis on eye contact enable deeper thinking during a given conversation."
  •  
    The hypothesis that people with different culture may have different habits is very interesting. People always avoid eye contact with unfamiliar people. Probably in our nature, we think that making eye contact is an action of provocation. When I am speaking, I seldom make eye contact with others and eye contacts make me nervous and I sometimes feel that my brain was shut down and couldn't come up with a word. I feel like the primitive human nature still plays a huge role on our brain and reaction. --Sissi (12/31/2016)
Javier E

Minsky's moment | The Economist - 0 views

  • Minsky started with an explanation of investment. It is, in essence, an exchange of money today for money tomorrow. A firm pays now for the construction of a factory; profits from running the facility will, all going well, translate into money for it in coming years.
  • Put crudely, money today can come from one of two sources: the firm’s own cash or that of others (for example, if the firm borrows from a bank). The balance between the two is the key question for the financial system.
  • Minsky distinguished between three kinds of financing. The first, which he called “hedge financing”, is the safest: firms rely on their future cashflow to repay all their borrowings. For this to work, they need to have very limited borrowings and healthy profits. The second, speculative financing, is a bit riskier: firms rely on their cashflow to repay the interest on their borrowings but must roll over their debt to repay the principal. This should be manageable as long as the economy functions smoothly, but a downturn could cause distress. The third, Ponzi financing, is the most dangerous. Cashflow covers neither principal nor interest; firms are betting only that the underlying asset will appreciate by enough to cover their liabilities. If that fails to happen, they will be left exposed.
  • ...10 more annotations...
  • Economies dominated by hedge financing—that is, those with strong cashflows and low debt levels—are the most stable. When speculative and, especially, Ponzi financing come to the fore, financial systems are more vulnerable. If asset values start to fall, either because of monetary tightening or some external shock, the most overstretched firms will be forced to sell their positions. This further undermines asset values, causing pain for even more firms. They could avoid this trouble by restricting themselves to hedge financing. But over time, particularly when the economy is in fine fettle, the temptation to take on debt is irresistible. When growth looks assured, why not borrow more? Banks add to the dynamic, lowering their credit standards the longer booms last. If defaults are minimal, why not lend more? Minsky’s conclusion was unsettling. Economic stability breeds instability. Periods of prosperity give way to financial fragility.
  • Minsky’s insight might sound obvious. Of course, debt and finance matter. But for decades the study of economics paid little heed to the former and relegated the latter to a sub-discipline, not an essential element in broader theories.
  • Minsky was a maverick. He challenged both the Keynesian backbone of macroeconomics and a prevailing belief in efficient markets.
  • t Messrs Hicks and Hansen largely left the financial sector out of the picture, even though Keynes was keenly aware of the importance of markets. To Minsky, this was an “unfair and naive representation of Keynes’s subtle and sophisticated views”. Minsky’s financial-instability hypothesis helped fill in the holes.
  • His challenge to the prophets of efficient markets was even more acute. Eugene Fama and Robert Lucas, among others, persuaded most of academia and policymaking circles that markets tended towards equilibrium as people digested all available information. The structure of the financial system was treated as almost irrelevant
  • In recent years, behavioural economists have attacked one plank of efficient-market theory: people, far from being rational actors who maximise their gains, are often clueless about what they want and make the wrong decisions.
  • But years earlier Minsky had attacked another: deep-seated forces in financial systems propel them towards trouble, he argued, with stability only ever a fleeting illusion.
  • Investors were faster than professors to latch onto his views. More than anyone else it was Paul McCulley of PIMCO, a fund-management group, who popularised his ideas. He coined the term “Minsky moment” to describe a situation when debt levels reach breaking-point and asset prices across the board start plunging. Mr McCulley initially used the term in explaining the Russian financial crisis of 1998. Since the global turmoil of 2008, it has become ubiquitous. For investment analysts and fund managers, a “Minsky moment” is now virtually synonymous with a financial crisis.
  • it would be a stretch to expect the financial-instability hypothesis to become a new foundation for economic theory. Minsky’s legacy has more to do with focusing on the right things than correctly structuring quantifiable models. It is enough to observe that debt and financial instability, his main preoccupations, have become some of the principal topics of inquiry for economists today
  • As Mr Krugman has quipped: “We are all Minskyites now.”
sissij

Liberals and Conservatives Read Different Science Books, Except for One Subject | Big T... - 0 views

  • While scientists generally try to stay out politics, letting evidence-based research to speak for itself, the strong division in American society has spread to science.
  • By analyzing millions of online purchases, researchers from Cornell, Yale and University of Chicago found that there are clear partisan preferences in how we buy books on scientific topics.
  • The study’s authors think it’s likely that people who buy political books get science books to support their views rather than out of a general interest in science.
  • ...3 more annotations...
  • One topic popular with both sides - books on dinosaurs. These were bought across the whole political spectrum.
  • Is there a way science could help heal the division in the country?
  • While the study is illuminating, it  has some limitations, with political scientist Toby Bolsen cautioning that this research did not draw on a random sample of books, relying instead on how the online sellers categorized them.
  •  
    As we discussed in TOK, people selectively read about science due to confirmation bias. When reading about science, people tends to ignore the limitation and uncertainties in science, this is because of the source amnesia. It is not surprise that liberals and conservatives read different science book because the policies they make are so different that they need different scientific paper to support. Although science is trying to stay out of politics, but it cannot stop politicians from using science. However, it is totally a surprise for me to see that science books on dinosaurs are read by author throughout the political spectrum. It doesn't seem to fit in with my hypothesis earlier. --Sissi (4/10/2017)
catbclark

Does Geography Influence How a Language Sounds? - 2 views

  • These regions are the North American Cordillera, the Andes and the Andean altiplano, the southern African plateau, the plateau of the East African Rift and the Ethiopian highlands, and the Caucasus range and Javakheti plateau.
    • catbclark
       
      This is interesting because these are in different areas that probably had no contact with each another when the languages were developing, yet they have simular sounds in the language. 
  • "I don't endorse [their] hypothesis but believe they were onto something."
    • catbclark
       
      As cool as this article is, it does not seem to have very solid informations. This article seems to be based on assumptions. 
  • "I had this hypothesis that [certain sounds] might be more common at high altitudes,"
  • ...1 more annotation...
  • Moreover, most of the languages containing ejectives were spoken in, or near, five out of six high-altitude regions around the world.
    • catbclark
       
      How does altitude affect what sounds people say?
1 - 20 of 88 Next › Last »
Showing 20 items per page