Realism versus Instrumentalism in a New Statistical Framework

Philosophy of Science 73 (4):440-447 (2006)
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. *Received May 2005; revised July 2006. †To contact the author, please write to: Department of Philosophy and School of Environment, McGill University, 855 Sherbrooke Street West, Montréal, QC H3A 2T7, Canada; e‐mail: .
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DOI 10.1086/516810
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