Weinberger, Naftali (2022) The Insufficiency of Statistics for Detecting Racial Discrimination by Police. In: UNSPECIFIED.

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Abstract

Benchmark tests are employed when testing for racial discrimination by police. Neil and Winship (2019) emphasize that such tests are threatened by Simpson’s paradox, but avoid analyzing the paradox causally. They consequently cannot elucidate the link between statistical quantities and discrimination hypotheses. Simpson’s paradox reveals that the statistics given by benchmark tests are not invariant to conditioning on additional variables. On this basis, I argue that benchmark statistics should not by themselves be taken to provide any evidence regarding discrimination, absent additional assumptions. Causal models can represent these assumptions.

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Item Type:	Conference or Workshop Item (UNSPECIFIED)
Creators:	Creators Email ORCID Weinberger, Naftali naftali.weinberger@gmail.com
Keywords:	Causation; Discrimination; Modeling; Simpson's Paradox; Evidence
Subjects:	General Issues > Data General Issues > Causation General Issues > Ethical Issues General Issues > Evidence General Issues > Science and Policy Specific Sciences > Sociology
Depositing User:	Mr. Naftali Weinberger
Date Deposited:	17 Jul 2023 13:37
Last Modified:	17 Jul 2023 13:37
Item ID:	22315
Subjects:	General Issues > Data General Issues > Causation General Issues > Ethical Issues General Issues > Evidence General Issues > Science and Policy Specific Sciences > Sociology
Date:	2022
URI:	https://philsci-archive.pitt.edu/id/eprint/22315

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• The Insufficiency of Statistics for Detecting Racial Discrimination by Police. (deposited 17 Oct 2022 17:06)
  • The Insufficiency of Statistics for Detecting Racial Discrimination by Police. (deposited 17 Jul 2023 13:37) [Currently Displayed]

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