Success and truth in the realism/anti-realism debate

Synthese 190 (9):1719-1729 (2013)

Authors
K. Brad Wray
Aarhus University
Abstract
I aim to clarify the relationship between the success of a theory and the truth of that theory. This has been a central issue in the debates between realists and anti-realists. Realists assume that success is a reliable indicator of truth, but the details about the respects in which success is a reliable indicator or test of truth have been largely left to our intuitions. Lewis (Synthese 129:371–380, 2001) provides a clear proposal of how success and truth might be connected, comparing a test of success of our theories to medical tests with low rates of false positives and false negatives. But, contrary to what Lewis claims, I argue that it is not enough for the realist to undercut the claim that success is not a reliable indicator of truth. Rather, the realist must show that our current best theories are likely true. Further, I argue that tests in science are unlike medical tests in a number of important ways
Keywords Pessimistic induction  Success  Truth  Realism  Anti-realism  Medical tests  Prediction
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DOI 10.1007/s11229-011-9931-7
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References found in this work BETA

Inference to the Best Explanation.Peter Lipton - 1993 - Routledge/Taylor and Francis Group.

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Citations of this work BETA

Pessimistic Inductions: Four Varieties.K. Brad Wray - 2015 - International Studies in the Philosophy of Science 29 (1):61-73.
The Descriptive and Normative Versions of Scientific Realism and Pessimism.Seungbae Park - 2019 - Filozofia: Journal for Philosophy 74 (4):278–290.
Global and Local Pessimistic Meta-Inductions.Samuel Ruhmkorff - 2013 - International Studies in the Philosophy of Science 27 (4):409-428.

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