Idealization, scientific realism, and the improvement model of confirmation
Abstract
That many of our most successful scientific theories involve one or more idealizations poses a challenge to traditional models of theory confirmation. One popular response amongst scientific realists is the “improvement model of confirmation”: if tightening up one or more of the idealizations leads to greater predictive accuracy, then this supports the belief that the theory’s inaccuracy is a result of its idealizations and not because it is wrong. In this article I argue that the improvement model is deeply flawed and that therefore idealizations continue to undermine “success-to-truth” arguments for scientific realism.
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DOI: http://dx.doi.org/10.23756/sp.v8i2.555
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