Pragmatic warrant for frequentist statistical practice: the case of high energy physics

Synthese 194 (2) (2017)
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Abstract

Amidst long-running debates within the field, high energy physics has adopted a statistical methodology that primarily employs standard frequentist techniques such as significance testing and confidence interval estimation, but incorporates Bayesian methods for limited purposes. The discovery of the Higgs boson has drawn increased attention to the statistical methods employed within HEP. Here I argue that the warrant for the practice in HEP of relying primarily on frequentist methods can best be understood as pragmatic, in the sense that statistical methods are chosen for their suitability for the practical demands of experimental HEP, rather than reflecting a commitment to a particular epistemic framework. In particular, I argue that understanding the statistical methodology of HEP through the perspective of pragmatism clarifies the role of and rationale for significance testing in the search for new phenomena such as the Higgs boson

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Kent Staley
Saint Louis University

Citations of this work

Simplified models: a different perspective on models as mediators.C. D. McCoy & Michela Massimi - 2018 - European Journal for Philosophy of Science 8 (1):99-123.
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Experimental high-energy physics without computer simulations.Michael Krämer, Gregor Schiemann & Christian Zeitnitz - 2024 - Studies in History and Philosophy of Science Part A 106 (C):37-42.

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References found in this work

Science, Policy, and the Value-Free Ideal.Heather Douglas - 2009 - University of Pittsburgh Press.
The Scientist Qua Scientist Makes Value Judgments.Richard Rudner - 1953 - Philosophy of Science 20 (1):1-6.
On the seriousness of mistakes.Isaac Levi - 1962 - Philosophy of Science 29 (1):47-65.
Computer simulations and experiments: The case of the Higgs boson.Michela Massimi & Wahid Bhimji - 2015 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 51 (C):71-81.

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