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Realism versus Instrumentalism in a New Statistical Framework

Published online by Cambridge University Press:  01 January 2022

Abstract

In this paper, I offer a new defense of scientific realism, tailored for the Akaikean paradigm of statistical hypothesis testing. After proposing definitions of verisimilitude and predictive success, I use computer simulations to show how the latter depends on the former, even in the kind of case featured in a recent argument for instrumentalism.

Type
Research Article
Copyright
Copyright © The Philosophy of Science Association

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Footnotes

Thanks to Mario Bunge, Malcolm Forster, Guido Marziali, Storrs McCall, Jeff Mikkelson, Jay Odenbaugh, Andrew Reisner, Elliott Sober, and two anonymous referees for helpful feedback on this paper.

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