David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Philosophy and Public Affairs 40 (3):197-224 (2012)
The law views with suspicion statistical evidence, even evidence that is probabilistically on a par with direct, individual evidence that the law is in no way suspicious of. But it has proved remarkably hard to either justify this suspicion, or to debunk it. In this paper, we connect the discussion of statistical evidence to broader epistemological discussions of similar phenomena. We highlight Sensitivity – the requirement that a belief be counterfactually sensitive to the truth in a specific way – as a way of epistemically explaining the legal suspicion towards statistical evidence. Still, we do not think of this as a satisfactory vindication of the reluctance to rely on statistical evidence. Knowledge – and Sensitivity, and indeed epistemology in general – are of little, if any, legal value. Instead, we tell an incentive-based story vindicating the suspicion towards statistical evidence. We conclude by showing that the epistemological story and the incentive-based story are closely and interestingly related, and by offering initial thoughts about the role of statistical evidence in morality.
|Keywords||Statistical Evidence Sensitivity|
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References found in this work BETA
Martin Smith (2010). What Else Justification Could Be. Noûs 44 (1):10 - 31.
Citations of this work BETA
Lara Buchak (2013). Belief, Credence, and Norms. Philosophical Studies 2:1-27.
Michael Blome-Tillmann (2015). Sensitivity, Causality, and Statistical Evidence in Courts of Law. Thought: A Journal of Philosophy 4 (2):102-112.
Stephen John (2015). Inductive Risk and the Contexts of Communication. Synthese 192 (1):79-96.
Kasper Lippert-Rasmussen (2014). Neuroprediction, Truth-Sensitivity, and the Law. Journal of Ethics 18 (2):123-136.
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