Statistical resentment, or: what’s wrong with acting, blaming, and believing on the basis of statistics alone

Synthese 199 (3-4):5687-5718 (2021)
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Abstract

Statistical evidence—say, that 95% of your co-workers badmouth each other—can never render resenting your colleague appropriate, in the way that other evidence (say, the testimony of a reliable friend) can. The problem of statistical resentment is to explain why. We put the problem of statistical resentment in several wider contexts: The context of the problem of statistical evidence in legal theory; the epistemological context—with problems like the lottery paradox for knowledge, epistemic impurism and doxastic wrongdoing; and the context of a wider set of examples of responses and attitudes that seem not to be appropriately groundable in statistical evidence. Regrettably, we do not come up with a fully general, fully adequate, fully unified account of all the phenomena discussed. But we give reasons to believe that no such account is forthcoming, and we sketch a somewhat messier account that may be the best that can be had here.

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Author Profiles

David Enoch
Hebrew University of Jerusalem
Levi Spectre
Open University of Israel

References found in this work

Knowledge and its limits.Timothy Williamson - 2000 - New York: Oxford University Press.
Elusive knowledge.David Lewis - 1996 - Cambridge University Press. Edited by Keith DeRose & Ted A. Warfield.
Philosophical explanations.Robert Nozick - 1981 - Cambridge: Harvard University Press.
Knowledge and lotteries.John Hawthorne - 2004 - New York: Oxford University Press.
Knowledge and Its Limits.Timothy Williamson - 2000 - Philosophy 76 (297):460-464.

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