Neyman-Pearson Hypothesis Testing, Epistemic Reliability and Pragmatic Value-Laden Asymmetric Error Risks

Axiomathes 32 (4):585-604 (2022)
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Abstract

We show that if among the tested hypotheses the number of true hypotheses is not equal to the number of false hypotheses, then Neyman-Pearson theory of testing hypotheses does not warrant minimal epistemic reliability. We also argue that N-P does not protect from the possible negative effects of the pragmatic value-laden unequal setting of error probabilities on N-P’s epistemic reliability. Most importantly, we argue that in the case of a negative impact no methodological adjustment is available to neutralize it, so in such cases the discussed pragmatic-value-ladenness of N-P inevitably compromises the goal of attaining truth.

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Author Profiles

Pawel Kawalec
Katolicki Uniwersytet Lubelski (KUL)
Adam P. Kubiak
Warsaw University of Technology

Citations of this work

The epistemic consequences of pragmatic value-laden scientific inference.Adam P. Kubiak & Paweł Kawalec - 2021 - European Journal for Philosophy of Science 11 (2):1-26.
Prior Information in Frequentist Research Designs: The Case of Neyman’s Sampling Theory.Adam P. Kubiak & Paweł Kawalec - 2022 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 53 (4):381-402.

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References found in this work

Probability Theory. The Logic of Science.Edwin T. Jaynes - 2002 - Cambridge University Press: Cambridge. Edited by G. Larry Bretthorst.
Error and the growth of experimental knowledge.Deborah Mayo - 1996 - International Studies in the Philosophy of Science 15 (1):455-459.

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