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The Insufficiency of Statistics for Detecting Racial Discrimination by Police

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:
CreatorsEmailORCID
Weinberger, Naftalinaftali.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-dev.library.pitt.edu/id/eprint/22315

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