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maintenance - Why do dynamic languages make it more difficult to maintain large codebases? - Software Engineering Stack Exchange
Now here is the key point I have been building up to: there is a strong correlation between a language being dynamically typed and a language also lacking all the other facilities that make lowering the cost of maintaining a large codebase easier, and that is the key reason why it is more difficult to maintain a large codebase in a dynamic language. And similarly there is a correlation between a language being statically typed and having facilities that make programming in the larger easier.
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6 weeks ago by nhaliday
If Correlation Doesn’t Imply Causation then What Does?
https://www.dropbox.com/s/4t8n5zfdhjcq0i0/If%20correlation%20doesn%E2%80%99t%20imply%20causation%2C%20then%20what%20does%20%20DDI.pdf?dl=0

Of course, while it’s all very well to piously state that correlation doesn’t imply causation, it does leave us with a conundrum: under what conditions, exactly, can we use experimental data to deduce a causal relationship between two or more variables?
...
Over the past few decades, a group of scientists have developed a theory of causal inference intended to address these and other related questions. This theory can be thought of as an algebra or language for reasoning about cause and effect. Many elements of the theory have been laid out in a famous book by one of the main contributors to the theory, Judea Pearl. Although the theory of causal inference is not yet fully formed, and is still undergoing development, what has already been accomplished is interesting and worth understanding.
Statistics  DataScience  DataAnalytics  Correlation  Causation  MichaelNielsen  DDI 
6 weeks ago by richardwinter
Links 3/19: Linkguini | Slate Star Codex
How did the descendants of the Mayan Indians end up in the Eastern Orthodox Church?

Does Parental Quality Matter? Study using three sources of parental variation that are mostly immune to genetic confounding find that “the strong parent-child correlation in education is largely causal”. For example, “the parent-child correlation in education is stronger with the parent that spends more time with the child”.

Before and after pictures of tech leaders like Jeff Bezos, Elon Musk, and Sergey Brin suggest they’re taking supplemental testosterone. And though it may help them keep looking young, Palladium points out that there might be other effects from having some of our most powerful businessmen on a hormone that increases risk-taking and ambition. They ask whether the new availability of testosterone supplements is prolonging Silicon Valley businessmen’s “brash entrepreneur” phase well past the point where they would normally become mature respectable elders. But it also hints at an almost opposite take: average testosterone levels have been falling for decades, so at this point these businessmen would be the only “normal” (by 1950s standards) men out there, and everyone else would be unprecedently risk-averse and boring. Paging Peter Thiel and everyone else who takes about how things “just worked better” in Eisenhower’s day.

China’s SesameCredit social monitoring system, widely portrayed as dystopian, has an 80% approval rate in China (vs. 19% neutral and 1% disapproval). The researchers admit that although all data is confidential and they are not affiliated with the Chinese government, their participants might not believe that confidently enough to answer honestly.

I know how much you guys love attacking EAs for “pathological altruism” or whatever terms you’re using nowadays, so here’s an article where rationalist community member John Beshir describes his experience getting malaria on purpose to help researchers test a vaccine.

Some evidence against the theory that missing fathers cause earlier menarche.

John Nerst of EverythingStudies’ political compass.
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march 2019 by nhaliday
Genetic Attributions: Sign of Intolerance or Acceptance? | The Journal of Politics: Vol 80, No 3
> We test these expectations with original data from two nationally representative samples that allow us to identify the American public’s attributional patterns across 18 diverse traits. Key findings are (1) genetic attributions are actually more likely to be made by liberals, not conservatives; (2) genetic attributions are associated with higher, not lower, levels of tolerance of vulnerable individuals; and (3) genetic attributions do not correlate with unseemly racial attitudes.
genetics  causation  psychology  US 
december 2018 by porejide

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