 The puzzles of naked naked statistical evidence are some of the most difficult for legal probabilism. They directly challenge the claim that a high probability should suffice for a judgment of criminal or civil liability. One line of response that legal probabilists can pursue is to recommend revising our intuitions in hypothetical cases and questioning their relevance as a guide for theorizing about standards of proof. Legal probabilists can argue that the preference for traditional forms of evidence over statistical evidence is an unwarranted bias (Laudan 2006; Papineau forthcoming). They can point out that research in psychology and cognitive science has shown that eyewitness testimony and fingerprint evidence are often unreliable (Simons and Chabris 1999), prone to manipulation (Loftus 1979 [1996]), and influenced by subjective considerations and matters of context (Dror, Charlton, and Péron 2006; Zabell 2005). Relying on statistical evidence, on the other hand, should improve the overall accuracy of trial decisions (Koehler and Shaviro 1990). Legal probabilists can also argue that the puzzles of naked statistical evidence are confined to hypotheticals, and our judgments about statistical evidence may well differ in more realistic cases (Hedden and Colyvan 2019; Ross 2021).