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Bernoulli'S Fallacy: Statistical Illogic And The Crisis Of Modern Science,Used
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There is a logical flaw in the statistical methods used across experimental science. This fault is not a minor academic quibble: it underlies a reproducibility crisis now threatening entire disciplines. In an increasingly statisticsreliant society, this same deeply rooted error shapes decisions in medicine, law, and public policy with profound consequences. The foundation of the problem is a misunderstanding of probability and its role in making inferences from observations.Aubrey Clayton traces the history of how statistics went astray, beginning with the groundbreaking work of the seventeenthcentury mathematician Jacob Bernoulli and winding through gambling, astronomy, and genetics. Clayton recounts the feuds among rival schools of statistics, exploring the surprisingly human problems that gave rise to the discipline and the alltoohuman shortcomings that derailed it. He highlights how influential nineteenth and twentiethcentury figures developed a statistical methodology they claimed was purely objective in order to silence critics of their political agendas, including eugenics.Clayton provides a clear account of the mathematics and logic of probability, conveying complex concepts accessibly for readers interested in the statistical methods that frame our understanding of the world. He contends that we need to take a Bayesian approachthat is, to incorporate prior knowledge when reasoning with incomplete informationin order to resolve the crisis. Ranging across math, philosophy, and culture, Bernoullis Fallacy explains why something has gone wrong with how we use dataand how to fix it.
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