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TaintedHow Philosophy of Science Can Expose Bad Science$
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Kristin Shrader-Frechette

Print publication date: 2014

Print ISBN-13: 9780199396412

Published to Oxford Scholarship Online: October 2014

DOI: 10.1093/acprof:oso/9780199396412.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 14 April 2021

Why Statistics Is Slippery

Why Statistics Is Slippery

Easy Algorithms Fail in Biology

(p.99) Chapter 8 Why Statistics Is Slippery

Kristin Shrader-Frechette

Oxford University Press

The chapter evaluates the well-known statistical-significance rule for discovering hypotheses and shows that, because scientists routinely misuse this rule, especially with observational and not experimental data, they can miss discovering important causal hypotheses in statistics. In particular, scientists forget how subjective the rule is, and that the rule tells nothing about scientific significance, only mathematical significance

Keywords:   experiential data, observational data, statistical significance, statistics

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