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Цитата (Nameless00 @ 9.8.2017)
И вот он удумал в прошлом году не петь национальный гимн. В знак протеста против полицейского шутинга по чёрным.
Цитата (Nameless00 @ 9.8.2017)
В связи с чем следующий вопрос. Допустим мы абсолютно точно знаем что частоты оппонента 55:45. Допустим нам надо матчить выбор оппонента. Нам выгоднее выбирать тоже 55/45 или мы можем спокойно жать 100/0 и получать 55% побед?
Цитата (ConstOr @ 9.8.2017)
Например в покере Нэш будет наверняка хуже выступать с фишами, чем рег низких лимитов.
Цитата (ConstOr @ 9.8.2017)
Плюс, в повторяющихся играх с ненулевой суммой Нэш вообще очень спорный выбор, когда не совпадает с оптимумом
Цитата (theLord @ 2.8.2017)
Мне тоже очень интересно. Например, "The Moon Is a Harsh Mistress" в переводе Щербакова "Луна жестко стелет" кто-нибудь читал? Вот разве можно оценивать Хайнлайна по такому переводу.
Цитата (Nameless00 @ 9.8.2017)
Ну я решил глубже копнуть тему про обезьян, которые превзошли людей в этой игре (играли ближе к нэшу).
Цитата
Hyde (это автор(ша) большого метаанализа на тему гендерных различий в разных странах) found moderate or large gender differences in (and here I’m paraphrasing very scientific-sounding constructs into more understandable terms) aggressiveness, horniness, language abilities, mechanical abilities, visuospatial skills, mechanical ability, tendermindness, assertiveness, comfort with body, various physical abilities, and computer skills.
Цитата
Galpin investigated the percent of women in computer classes all around the world. Her number of 26% for the US is slightly higher than I usually hear, probably because it’s older (the percent women in computing has actually gone down over time!). The least sexist countries I can think of – Sweden, New Zealand, Canada, etc – all have somewhere around the same number (30%, 20%, and 24%, respectively). The most sexist countries do extremely well on this metric! The highest numbers on the chart are all from non-Western, non-First-World countries that do middling-to-poor on the Gender Development Index: Thailand with 55%, Guyana with 54%, Malaysia with 51%, Iran with 41%, Zimbabwe with 41%, and Mexico with 39%.
...
It’s a very common and well-replicated finding that the more progressive and gender-equal a country, the larger gender differences in personality of the sort Hyde found become.
Цитата
In the year 1850, women were locked out of almost every major field, with a few exceptions like nursing and teaching. The average man of the day would have been equally confident that women were unfit for law, unfit for medicine, unfit for mathematics, unfit for linguistics, unfit for engineering, unfit for journalism, unfit for psychology, and unfit for biology. He would have had various sexist justifications – women shouldn’t be in law because it’s too competitive and high-pressure; women shouldn’t be in medicine because they’re fragile and will faint at the sight of blood; et cetera.
As the feminist movement gradually took hold, women conquered one of these fields after another. 51% of law students are now female. So are 49.8% of medical students, 45% of math majors, 60% of linguistics majors, 60% of journalism majors, 75% of psychology majors, and 60% of biology postdocs. Yet for some reason, engineering remains only about 20% female.
And everyone says “Aha! I bet it’s because of negative stereotypes!”
This makes no sense. There were negative stereotypes about everything! Somebody has to explain why the equal and greater negative stereotypes against women in law, medicine, etc were completely powerless, yet for some reason the negative stereotypes in engineering were the ones that took hold and prevented women from succeeding there.
Цитата
Meanwhile, men make up only 10% of nurses, only 20% of new veterinarians, only 25% of new psychologists, about 25% of new paediatricians, about 26% of forensic scientists, about 28% of medical managers, and 42% of new biologists.
Note that many of these imbalances are even more lopsided than the imbalance favoring men in technology, and that many of these jobs earn much more than the average programmer. For example, the average computer programmer only makes about $80,000; the average veterinarian makes about $88,000, and the average pediatrician makes a whopping $170,000.
As long as you’re comparing some poor woman janitor to a male programmer making $80,000, you can talk about how it’s clearly sexism against women getting the good jobs. But once you take off the blinders and try to look at an even slightly bigger picture, you start wondering why veterinarians, who make even more money than that, are even more lopsidedly female than programmers are male.
Цитата
One subgroup of women does not display these gender differences at any age. These are women with congenital adrenal hyperplasia, a condition that gives them a more typically-male hormone balance.
Цитата
What is this “object vs. people” distinction?
It’s pretty relevant. Meta-analyses have shown a very large (d = 1.18) difference in healthy men and women (ie without CAH) in this domain. It’s traditionally summarized as “men are more interested in things and women are more interested in people”. I would flesh out “things” to include both physical objects like machines as well as complex abstract systems; I’d also add in another finding from those same studies that men are more risk-taking and like danger. And I would flesh out “people” to include communities, talking, helping, children, and animals.
So this theory predicts that men will be more likely to choose jobs with objects, machines, systems, and danger; women will be more likely to choose jobs with people, talking, helping, children, and animals.
Somebody armed with this theory could pretty well pretty well predict that women would be interested in going into medicine and law, since both of them involve people, talking, and helping. They would predict that women would dominate veterinary medicine (animals, helping), psychology (people, talking, helping, sometimes children), and education (people, children, helping). Of all the hard sciences, they might expect women to prefer biology (animals). And they might expect men to do best in engineering (objects, machines, abstract systems, sometimes danger) and computer science (machines, abstract systems).
...
It just says that sometimes, in a population-based way that doesn’t necessarily apply to any given woman or any given man, women and men will have some different interests. Which should be pretty obvious to anyone who’s spent more than a few minutes with men or women.
Цитата (TUM19 @ 9.8.2017)
Греющая душу гипотеза, не факт, что она работает в существующей на сегодняшней реальности. Судя по довольно успешным выступлениям ботов (которые уступают Нэшу).
Цитата (TUM19 @ 9.8.2017)
Компетентный игрок найдет, где извлечь допвелью из фиша, но возможно Нэш перебьет его собирая больше мелкого велью в каждом споте.
Цитата (TUM19 @ 9.8.2017)
Насколько я понимаю, это относится к повторяющимся играм, в которых игроки могут извлечь пользу из кооперации.
На покер не распространяется.
Цитата (БоевойСлон @ 9.8.2017)
So are 49.8% of medical students, 45% of math majors, 60% of linguistics majors, 60% of journalism majors, 75% of psychology majors, and 60% of biology postdocs. Yet for some reason, engineering remains only about 20% female.
Цитата (БоевойСлон @ 9.8.2017)
The most sexist countries do extremely well on this metric! The highest numbers on the chart are all from non-Western, non-First-World countries that do middling-to-poor on the Gender Development Index: Thailand with 55%, Guyana with 54%, Malaysia with 51%, Iran with 41%, Zimbabwe with 41%, and Mexico with 39%.
Цитата (ishkan @ 7.8.2017)
Я черпаю среднеризм. Поэтому, считаю, что если используется аргумент:
Игнорируется факт, что если за 15 лет никакой сингапур в России не случился, то он ниоткуда и не появится.
с которым, впрочем, никто и не спорит, то вполне работает и:
Игнорируется факт, что если за 15 лет никакая венесуэла в России не случилась, то она ниоткуда и не появится.
Цитата
It’s a very common and well-replicated finding that the more progressive and gender-equal a country, the larger gender differences in personality of the sort Hyde found become.
Цитата
There were negative stereotypes about everything! Somebody has to explain why the equal and greater negative stereotypes against women in law, medicine, etc were completely powerless, yet for some reason the negative stereotypes in engineering were the ones that took hold and prevented women from succeeding there.
Цитата
One subgroup of women does not display these gender differences at any age. These are women with congenital adrenal hyperplasia, a condition that gives them a more typically-male hormone balance.
Цитата
Here’s another fun thing you can do with this theory: understand why women are so well represented in college math classes. Women are around 20% of CS majors, physics majors, engineering majors, etc – but almost half of math majors! This should be shocking. Aren’t we constantly told that women are bombarded with stereotypes about math being for men? Isn’t the archetypal example of children learning gender roles that Barbie doll that said “Math is hard, let’s go shopping?” And yet women’s representation in undergraduate math classes is really quite good.
I was totally confused by this for a while until a commenter directed me to the data on what people actually do with math degrees. The answer is mostly: they become math teachers. They work in elementary schools and high schools, with people.
Then all those future math teachers leave for the schools after undergrad, and so math grad school ends up with pretty much the same male-tilted gender balance as CS, physics, and engineering grad school.
Цитата (2unreal2b @ 9.8.2017)
Q, challenge accepted:
1. В мире есть хорошие и уважаемые в отрасли программисты-женщины.
2. Среди программистов все еще есть дискриминация по половому признаку.
3. Раз некоторые женщины достигли успеха даже несмотря на дискриминацию - значит женщины в целом более способны к программированию, так как могут отыграть даже дискриминационный штраф.
Ну я решил глубже копнуть тему про обезьян, которые превзошли людей в этой игре (играли ближе к нэшу). Попутно и возник вопрос о том, есть ли там вообще равновесие, или любое отклонение от 50/50 делает твою стратегию эксплуатируемой.
Дополнительная сложность в том, что обезьяны играли в версию в которой нет проигравших. Ты или получаешь виноградину (или три) или не получишь ничего.
В связи с чем следующий вопрос. Допустим мы абсолютно точно знаем что частоты оппонента 55:45. Допустим нам надо матчить выбор оппонента. Нам выгоднее выбирать тоже 55/45 или мы можем спокойно жать 100/0 и получать 55% побед?
P.S. Но я тут готовился к завтрашнему турниру, поэтому временно забил на эту тему и даже ещё не перепроверил твои предыдущие выкладки.