Synthese 199 (5-6):12251-12269 (2021)
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Many philosophers have pointed out that statistical evidence, or at least some forms of it, lack desirable epistemic or non-epistemic properties, and that this should make us wary of litigations in which the case against the defendant rests in whole or in part on statistical evidence. Others have responded that such broad reservations about statistical evidence are overly restrictive since appellate courts have expressed nuanced views about statistical evidence. In an effort to clarify and reconcile, I put forward an interpretive analysis of why statistical evidence should raise concerns in some cases but not others. I argue that when there is a mismatch between the specificity of the evidence and the expected specificity of the accusation, statistical evidence—as any other kind of evidence—should be considered insufficient to sustain a conviction. I rely on different stylized court cases to illustrate the explanatory power of this analysis.
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DOI | 10.1007/s11229-021-03331-0 |
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References found in this work BETA
The Rational Impermissibility of Accepting (Some) Racial Generalizations.Renée Jorgensen Bolinger - 2020 - Synthese 197 (6):2415-2431.
The Probable and the Provable.Laurence Jonathan Cohen - 1977 - Oxford and New York: Clarendon Press.
Truth, Knowledge, and the Standard of Proof in Criminal Law.Clayton Littlejohn - 2020 - Synthese 197 (12):5253-5286.
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Citations of this work BETA
The Law's Aversion to Naked Statistics and Other Mistakes.Ronald J. Allen & Christopher K. Smiciklas - forthcoming - Legal Theory:1-31.
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