Switch to: References

Add citations

You must login to add citations.
  1. Legal Standards of Proof: When and Why Merely Statistical Evidence Can Satisfy Them.Paul Silva Jr - forthcoming - Erkenntnis.
    The relation of normic support offers a novel solution to the proof paradox: a paradox in evidence law arising from legal cases involving merely statistical evidence (Smith 2018). Central to the normic support solution has been the thesis that merely statistical evidence cannot confer normic support. However, it has been observed that there are exceptions to this: there exist cases where merely statistical evidence can give rise to normic support (Blome-Tillmann 2020). If correct, this fact seems to undermine the normic (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Conceptual Baggage and How to Unpack It.Emilia L. Wilson - 2024 - Dissertation, University of St Andrews
    Our interpretive resources enable us to make sense of, navigate, and communicate about our shared world. These resources not only carve the world up into categories, but also guide how we, individually and collectively, are oriented towards it. In this thesis, I examine how these resources, and the dispositions they guide, may be harmful. A vital kind of interpretive resources are frames, which equip us with unified perspectives on the world. Perspectives are suites of open-ended interpretive (inquisitive, attentional, inferential, evaluative, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Just probabilities.Chad Lee-Stronach - 2024 - Noûs 58 (4):948-972.
    I defend the thesis that legal standards of proof are reducible to thresholds of probability. Many reject this thesis because it appears to permit finding defendants liable solely on the basis of statistical evidence. To the contrary, I argue – by combining Thomson's (1986) causal analysis of legal evidence with formal methods of causal inference – that legal standards of proof can be reduced to probabilities, but that deriving these probabilities involves more than just statistics.
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Degrees of Epistemic Criticizability.Cameron Boult - 2024 - Philosophical Quarterly 74 (2):431-452.
    We regularly make graded normative judgements in the epistemic domain. Recent work in the literature examines degrees of justification, degrees of rationality, and degrees of assertability. This paper addresses a different dimension of the gradeability of epistemic normativity, one that has been given little attention. How should we understand degrees of epistemic criticizability? In virtue of what sorts of factors can one epistemic failing be worse than another? The paper develops a dual-factor view of degrees of epistemic criticizability. According to (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • Merely statistical evidence: when and why it justifies belief.Paul Silva - 2023 - Philosophical Studies 180 (9):2639-2664.
    It is one thing to hold that merely statistical evidence is _sometimes_ insufficient for rational belief, as in typical lottery and profiling cases. It is another thing to hold that merely statistical evidence is _always_ insufficient for rational belief. Indeed, there are cases where statistical evidence plainly does justify belief. This project develops a dispositional account of the normativity of statistical evidence, where the dispositions that ground justifying statistical evidence are connected to the goals (= proper function) of objects. There (...)
    Download  
     
    Export citation  
     
    Bookmark   9 citations  
  • Does legal epistemology rest on a mistake? On fetishism, two‐tier system design, and conscientious fact‐finding.David Enoch, Talia Fisher & Levi Spectre - 2021 - Philosophical Issues 31 (1):85-103.
    Philosophical Issues, Volume 31, Issue 1, Page 85-103, October 2021.
    Download  
     
    Export citation  
     
    Bookmark   7 citations  
  • A unified theory of risk.Jaakko Hirvelä & Niall J. Paterson - forthcoming - Philosophical Quarterly.
    A novel theory of comparative risk is developed and defended. Extant theories are criticized for failing the tests of extensional and formal adequacy. A unified diagnosis is proposed: extant theories consider risk to be a univariable function, but risk is a multivariate function. According to the theory proposed, which we call the unified theory of risk, the riskiness of a proposition is a function of both the proportion and the modal closeness of the possible worlds at which the proposition holds. (...)
    Download  
     
    Export citation  
     
    Bookmark