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Bernoulli's fallacy : statistical illogic and the crisis of modern science /

"There is a logical flaw in the statistical methods used across experimental science. This fault is not just a minor academic quibble: it underlies a reproducibility crisis now threatening entire disciplines. In an increasingly data-reliant culture, this same deeply rooted error shapes decision...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Clayton, Aubrey (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Columbia University Press, [2021]
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Clayton, Aubrey,  |e author. 
245 1 0 |a Bernoulli's fallacy :  |b statistical illogic and the crisis of modern science /  |c Aubrey Clayton. 
264 1 |a New York :  |b Columbia University Press,  |c [2021] 
300 |a 1 online resource (xviii, 347 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a "There is a logical flaw in the statistical methods used across experimental science. This fault is not just a minor academic quibble: it underlies a reproducibility crisis now threatening entire disciplines. In an increasingly data-reliant culture, 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 our ability to make inferences from data. Aubrey Clayton traces the history of how statistics went astray, beginning with the groundbreaking work of the seventeenth-century mathematician Jacob Bernoulli and winding through gambling, astronomy, and genetics. He recounts the feuds among rival schools of statistics, exploring the surprisingly human problems that gave rise to the discipline and the all-too-human shortcomings that derailed it. Clayton highlights how influential nineteenth- and twentieth-century 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 approach-incorporating prior knowledge when reasoning with incomplete information-in order to resolve the crisis. Ranging across math, philosophy, and culture, Bernoulli's Fallacy explains why something has gone wrong with how we use data-and how to fix it"--  |c Provided by publisher. 
588 |a Description based on online resource; title from digital title page (viewed on August 30, 2021). 
505 0 0 |t Introduction --  |t 1. What is probability? --  |t 2. The titular fallacy --  |t 3. Adolphe quetelet's bell curve bridge --  |t 4. The frequentist jihad --  |t 5. The quote-unquote logic of orthodox statistics --  |t 6. The replication crisis/opportunity --  |t 7. The way out. 
590 |a JSTOR  |b Books at JSTOR Demand Driven Acquisitions (DDA) 
590 |a JSTOR  |b Books at JSTOR All Purchased 
600 1 0 |a Bernoulli, Jakob,  |d 1654-1705  |x Influence. 
600 1 7 |a Bernoulli, Jakob,  |d 1654-1705  |2 fast 
650 0 |a Probabilities  |x Philosophy  |y 19th century. 
650 0 |a Probabilities  |x Philosophy  |y 20th century. 
650 0 |a Mathematical statistics  |x Philosophy. 
650 0 |a Binomial distribution. 
650 0 |a Law of large numbers. 
650 6 |a Probabilités  |x Philosophie  |y 19e siècle. 
650 6 |a Probabilités  |x Philosophie  |y 20e siècle. 
650 6 |a Loi binomiale. 
650 6 |a Loi des grands nombres. 
650 7 |a MATHEMATICS / History & Philosophy  |2 bisacsh 
650 7 |a Binomial distribution  |2 fast 
650 7 |a Influence (Literary, artistic, etc.)  |2 fast 
650 7 |a Law of large numbers  |2 fast 
650 7 |a Mathematical statistics  |x Philosophy  |2 fast 
650 7 |a Probabilities  |x Philosophy  |2 fast 
648 7 |a 1800-1999  |2 fast 
776 0 8 |i Print version:  |a Clayton, Aubrey.  |t Bernoulli's fallacy  |d New York : Columbia University Press, 2021.  |z 9780231199940  |w (DLC) 2021004250 
856 4 0 |u https://jstor.uam.elogim.com/stable/10.7312/clay19994  |z Texto completo 
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