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  1. A modal theory of discrimination.Guido Melchior - 2021 - Synthese 198 (11):10661-10684.
    Discrimination is a central epistemic capacity but typically, theories of discrimination only use discrimination as a vehicle for analyzing knowledge. This paper aims at developing a self-contained theory of discrimination. Internalist theories of discrimination fail since there is no compelling correlation between discriminatory capacities and experiences. Moreover, statistical reliabilist theories are also flawed. Only a modal theory of discrimination is promising. Versions of sensitivity and adherence that take particular alternatives into account provide necessary and sufficient conditions on discrimination. Safety in (...)
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  • Lotteries, Knowledge, and Irrelevant Alternatives.Rachel Mckinnon - 2013 - Dialogue 52 (3):523-549.
    The lottery paradox plays an important role in arguments for various norms of assertion. Why is it that, prior to information on the results of a draw, assertions such as, “My ticket lost,” seem inappropriate? This paper is composed of two projects. First, I articulate a number of problems arising from Timothy Williamson’s analysis of the lottery paradox. Second, I propose a relevant alternatives theory, which I call the Non-Destabilizing Alternatives Theory , that better explains the pathology of asserting lottery (...)
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  • The error statistical philosopher as normative naturalist.Deborah Mayo & Jean Miller - 2008 - Synthese 163 (3):305 - 314.
    We argue for a naturalistic account for appraising scientific methods that carries non-trivial normative force. We develop our approach by comparison with Laudan’s (American Philosophical Quarterly 24:19–31, 1987, Philosophy of Science 57:20–33, 1990) “normative naturalism” based on correlating means (various scientific methods) with ends (e.g., reliability). We argue that such a meta-methodology based on means–ends correlations is unreliable and cannot achieve its normative goals. We suggest another approach for meta-methodology based on a conglomeration of tools and strategies (from statistical modeling, (...)
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  • Methodology in Practice: Statistical Misspecification Testing.Deborah G. Mayo & Aris Spanos - 2004 - Philosophy of Science 71 (5):1007-1025.
    The growing availability of computer power and statistical software has greatly increased the ease with which practitioners apply statistical methods, but this has not been accompanied by attention to checking the assumptions on which these methods are based. At the same time, disagreements about inferences based on statistical research frequently revolve around whether the assumptions are actually met in the studies available, e.g., in psychology, ecology, biology, risk assessment. Philosophical scrutiny can help disentangle 'practical' problems of model validation, and conversely, (...)
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  • Duhem's problem, the bayesian way, and error statistics, or "what's belief got to do with it?".Deborah G. Mayo - 1997 - Philosophy of Science 64 (2):222-244.
    I argue that the Bayesian Way of reconstructing Duhem's problem fails to advance a solution to the problem of which of a group of hypotheses ought to be rejected or "blamed" when experiment disagrees with prediction. But scientists do regularly tackle and often enough solve Duhemian problems. When they do, they employ a logic and methodology which may be called error statistics. I discuss the key properties of this approach which enable it to split off the task of testing auxiliary (...)
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  • The Search for the Source of Epistemic Good.Linda Zagzebski - 2003 - Metaphilosophy 34 (1-2):12-28.
    Knowledge has almost always been treated as good, better than mere true belief, but it is remarkably difficult to explain what it is about knowledge that makes it better. I call this “the value problem.” I have previously argued that most forms of reliabilism cannot handle the value problem. In this article I argue that the value problem is more general than a problem for reliabilism, infecting a host of different theories, including some that are internalist. An additional problem is (...)
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  • Belief, Credence, and Evidence.Elizabeth Jackson - 2020 - Synthese 197 (11):5073-5092.
    I explore how rational belief and rational credence relate to evidence. I begin by looking at three cases where rational belief and credence seem to respond differently to evidence: cases of naked statistical evidence, lotteries, and hedged assertions. I consider an explanation for these cases, namely, that one ought not form beliefs on the basis of statistical evidence alone, and raise worries for this view. Then, I suggest another view that explains how belief and credence relate to evidence. My view (...)
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  • Why Most Published Research Findings Are False.John P. A. Ioannidis - 2005 - PLoS Med 2 (8):e124.
    Published research findings are sometimes refuted by subsequent evidence, says Ioannidis, with ensuing confusion and disappointment.
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  • Safety and epistemic luck.Avram Hiller & Ram Neta - 2007 - Synthese 158 (3):303 - 313.
    There is some consensus that for S to know that p, it cannot be merely a matter of luck that S’s belief that p is true. This consideration has led Duncan Pritchard and others to propose a safety condition on knowledge. In this paper, we argue that the safety condition is not a proper formulation of the intuition that knowledge excludes luck. We suggest an alternative proposal in the same spirit as safety, and find it lacking as well.
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  • Relevant alternatives.Mark Heller - 1989 - Philosophical Studies 55 (1):23 - 40.
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  • The Universal Core of Knowledge.Michael Hannon - 2015 - Synthese 192 (3):769-786.
    Many epistemologists think we can derive important theoretical insights by investigating the English word ‘know’ or the concept it expresses. However, fewer than six percent of the world’s population are native English speakers, and some empirical evidence suggests that the concept of knowledge is culturally relative. So why should we think that facts about the word ‘know’ or the concept it expresses have important ramifications for epistemology? This paper argues that the concept of knowledge is universal: it is expressed by (...)
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  • Discrimination and perceptual knowledge.Alvin I. Goldman - 1976 - Journal of Philosophy 73 (November):771-791.
    This paper presents a partial analysis of perceptual knowledge, an analysis that will, I hope, lay a foundation for a general theory of knowing. Like an earlier theory I proposed, the envisaged theory would seek to explicate the concept of knowledge by reference to the causal processes that produce (or sustain) belief. Unlike the earlier theory, however, it would abandon the requirement that a knower's belief that p be causally connected with the fact, or state of affairs, that p.
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  • The Reasonable and the Relevant: Legal Standards of Proof.Georgi Gardiner - 2019 - Philosophy and Public Affairs 47 (3):288-318.
    According to a common conception of legal proof, satisfying a legal burden requires establishing a claim to a numerical threshold. Beyond reasonable doubt, for example, is often glossed as 90% or 95% likelihood given the evidence. Preponderance of evidence is interpreted as meaning at least 50% likelihood given the evidence. In light of problems with the common conception, I propose a new ‘relevant alternatives’ framework for legal standards of proof. Relevant alternative accounts of knowledge state that a person knows a (...)
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  • Safety’s swamp: Against the value of modal stability.Georgi Gardiner - 2017 - American Philosophical Quarterly 54 (2):119-129.
    An account of the nature of knowledge must explain the value of knowledge. I argue that modal conditions, such as safety and sensitivity, do not confer value on a belief and so any account of knowledge that posits a modal condition as a fundamental constituent cannot vindicate widely held claims about the value of knowledge. I explain the implications of this for epistemology: We must either eschew modal conditions as a fundamental constituent of knowledge, or retain the modal conditions but (...)
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  • Relevance and risk: How the relevant alternatives framework models the epistemology of risk.Georgi Gardiner - 2020 - Synthese 199 (1-2):481-511.
    The epistemology of risk examines how risks bear on epistemic properties. A common framework for examining the epistemology of risk holds that strength of evidential support is best modelled as numerical probability given the available evidence. In this essay I develop and motivate a rival ‘relevant alternatives’ framework for theorising about the epistemology of risk. I describe three loci for thinking about the epistemology of risk. The first locus concerns consequences of relying on a belief for action, where those consequences (...)
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  • Profiling and Proof: Are Statistics Safe?Georgi Gardiner - 2020 - Philosophy 95 (2):161-183.
    Many theorists hold that outright verdicts based on bare statistical evidence are unwarranted. Bare statistical evidence may support high credence, on these views, but does not support outright belief or legal verdicts of culpability. The vignettes that constitute the lottery paradox and the proof paradox are marshalled to support this claim. Some theorists argue, furthermore, that examples of profiling also indicate that bare statistical evidence is insufficient for warranting outright verdicts.I examine Pritchard's and Buchak's treatments of these three kinds of (...)
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  • Normalcy and the Contents of Philosophical Judgements.Georgi Gardiner - 2015 - Inquiry: An Interdisciplinary Journal of Philosophy 58 (7-8):700-740.
    Thought experiments as counterexamples are a familiar tool in philosophy. Frequently understanding a vignette seems to generate a challenge to a target theory. In this paper I explore the content of the judgement that we have in response to these vignettes. I first introduce several competing proposals for the content of our judgement, and explain why they are inadequate. I then advance an alternative view. I argue that when we hear vignettes we consider the normal instances of the vignette. If (...)
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  • Conclusive reasons.Fred I. Dretske - 1971 - Australasian Journal of Philosophy 49 (1):1-22.
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  • Statistical Evidence, Sensitivity, and the Legal Value of Knowledge.David Enoch, Levi Spectre & Talia Fisher - 2012 - Philosophy and Public Affairs 40 (3):197-224.
    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 (...)
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  • True enough.Catherine Z. Elgin - 2004 - Philosophical Issues 14 (1):113–131.
    Truth is standardly considered a requirement on epistemic acceptability. But science and philosophy deploy models, idealizations and thought experiments that prescind from truth to achieve other cognitive ends. I argue that such felicitous falsehoods function as cognitively useful fictions. They are cognitively useful because they exemplify and afford epistemic access to features they share with the relevant facts. They are falsehoods in that they diverge from the facts. Nonetheless, they are true enough to serve their epistemic purposes. Theories that contain (...)
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  • Varieties of Risk.Philip A. Ebert, Martin Smith & Ian Durbach - 2020 - Philosophy and Phenomenological Research 101 (2):432-455.
    The notion of risk plays a central role in economics, finance, health, psychology, law and elsewhere, and is prevalent in managing challenges and resources in day-to-day life. In recent work, Duncan Pritchard (2015, 2016) has argued against the orthodox probabilistic conception of risk on which the risk of a hypothetical scenario is determined by how probable it is, and in favour of a modal conception on which the risk of a hypothetical scenario is determined by how modally close it is. (...)
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  • Epistemic operators.Fred I. Dretske - 1970 - Journal of Philosophy 67 (24):1007-1023.
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  • Exploring Inductive Risk: Case Studies of Values in Science.Kevin Christopher Elliott & Ted Richards (eds.) - 2017 - New York: Oup Usa.
    This book brings together eleven case studies of inductive risk-the chance that scientific inference is incorrect-that range over a wide variety of scientific contexts and fields. The chapters are designed to illustrate the pervasiveness of inductive risk, assist scientists and policymakers in responding to it, and productively move theoretical discussions of the topic forward.
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  • The Philosophy of Philosophy.Timothy Williamson - 2007 - Malden, MA: Wiley-Blackwell.
    The second volume in the _Blackwell Brown Lectures in Philosophy_, this volume offers an original and provocative take on the nature and methodology of philosophy. Based on public lectures at Brown University, given by the pre-eminent philosopher, Timothy Williamson Rejects the ideology of the 'linguistic turn', the most distinctive trend of 20th century philosophy Explains the method of philosophy as a development from non-philosophical ways of thinking Suggests new ways of understanding what contemporary and past philosophers are doing.
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  • Tracking truth: knowledge, evidence, and science.Sherrilyn Roush - 2005 - New York: Oxford University Press.
    Sherrilyn Roush defends a new theory of knowledge and evidence, based on the idea of "tracking" the truth, as the best approach to a wide range of questions about knowledge-related phenomena. The theory explains, for example, why scepticism is frustrating, why knowledge is power, and why better evidence makes you more likely to have knowledge. Tracking Truth provides a unification of the concepts of knowledge and evidence, and argues against traditional epistemological realist and anti-realist positions about scientific theories and for (...)
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  • The book of evidence.Peter Achinstein - 2001 - New York: Oxford University Press.
    What is required for something to be evidence for a hypothesis? In this fascinating, elegantly written work, distinguished philosopher of science Peter Achinstein explores this question, rejecting typical philosophical and statistical theories of evidence. He claims these theories are much too weak to give scientists what they want--a good reason to believe--and, in some cases, they furnish concepts that mistakenly make all evidential claims a priori. Achinstein introduces four concepts of evidence, defines three of them by reference to "potential" evidence, (...)
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  • Knowledge and Its Limits.Timothy Williamson - 2000 - Philosophy 76 (297):460-464.
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  • The Safety Condition for Knowledge.Danin D. Rabinowitz - 2011 - Internet Encyclopedia of Philosophy.
    This entry examines in detail the safety condition for knowledge as found in the work of Ernest Sosa, Duncan Pritchard, and Timothy Williamson.
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  • The Safety Condition for Knowledge.Dani Rabinowitz - 2011 - Internet Encyclopedia of Philosophy.
    A number of epistemologists have defended a necessary condition for knowledge that has come to be labeled as the “safety” condition. Timothy Williamson, Duncan Pritchard, and Ernest Sosa are the foremost defenders of safety. According to these authors an agent S knows a true proposition P only if S could not easily have falsely believed P. Disagreement arises, however, with respect to how they capture the notion of a safe belief. This article is a treatment of the different presentations and (...)
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  • Discrimination and Perceptual Knowledge.Alvin I. Goldman - 2000 - In Sven Bernecker & Fred I. Dretske (eds.), Knowledge: Readings in Contemporary Epistemology. Oxford University Press. pp. 86-102.
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  • Reliabilist Epistemology.Alvin Goldman & Bob Beddor - 2021 - Stanford Encyclopedia of Philosophy.
    One of the main goals of epistemologists is to provide a substantive and explanatory account of the conditions under which a belief has some desirable epistemic status (typically, justification or knowledge). According to the reliabilist approach to epistemology, any adequate account will need to mention the reliability of the process responsible for the belief, or truth-conducive considerations more generally. Historically, one major motivation for reliabilism—and one source of its enduring interest—is its naturalistic potential. According to reliabilists, epistemic properties can be (...)
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  • Philosophical Explanations. [REVIEW]Robert Nozick - 1981 - Philosophy 58 (223):118-121.
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  • Philosophical Explanations. [REVIEW]Robert Nozick - 1982 - Critica 14 (41):87-93.
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  • Solving the Skeptical Problem.Keith DeRose - 1995 - In Keith DeRose & Ted A. Warfield (eds.), Skepticism: A Contemporary Reader. Oup Usa.
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  • Elusive Knowledge.David Lewis - 1999 - In Keith DeRose & Ted A. Warfield (eds.), Skepticism: A Contemporary Reader. Oup Usa.
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  • Knowledge and its Limits.Timothy Williamson - 2000 - Tijdschrift Voor Filosofie 64 (1):200-201.
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  • Knowledge and Legal Proof.Sarah Moss - forthcoming - Oxford Studies in Epistemology.
    Existing discussions of legal proof address a host of apparently disparate questions: What does it take to prove a fact beyond a reasonable doubt? Why is the reasonable doubt standard notoriously elusive, sometimes considered by courts to be impossible to define? Can the standard of proof by a preponderance of the evidence be defined in terms of probability thresholds? Why is statistical evidence often insufficient to meet the burden of proof? -/- This paper defends an account of proof that addresses (...)
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  • Recent Work on Radical Skepticism.Duncan Pritchard - 2002 - American Philosophical Quarterly 39 (3):215-257.
    This discussion surveys recent developments in the treatment of the epistemological problem of skepticism. These are arguments which attack our knowledge of certain truths rather than, say, our belief in the existence of certain entities. In particular, this article focuses on the radical versions of these skeptical arguments, arguments which purport to show that knowledge is, for the most part, impossible, rather than just that we lack knowledge in a particular discourse. Although most of the key recent developments in this (...)
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  • Evidence, Risk, and Proof Paradoxes: Pessimism about the Epistemic Project.Giada Fratantonio - 2021 - International Journal of Evidence and Proof:online first.
    Why can testimony alone be enough for findings of liability? Why statistical evidence alone can’t? These questions underpin the “Proof Paradox” (Redmayne 2008, Enoch et al. 2012). Many epistemologists have attempted to explain this paradox from a purely epistemic perspective. I call it the “Epistemic Project”. In this paper, I take a step back from this recent trend. Stemming from considerations about the nature and role of standards of proof, I define three requirements that any successful account in line with (...)
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  • Legal Epistemology.Georgi Gardiner - 2019 - Oxford Bibliographies Online.
    An annotated bibliography of legal epistemology.
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  • Other Minds.J. L. Austin - 2000 - In Sven Bernecker & Fred I. Dretske (eds.), Knowledge: Readings in Contemporary Epistemology. Oxford University Press.
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  • Conclusive Reasons.Fred I. Dretske - 2000 - In Sven Bernecker & Fred I. Dretske (eds.), Knowledge: Readings in Contemporary Epistemology. Oxford University Press.
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  • Contrastive Knowledge.Jonathan Schaffer - 2006 - Oxford Studies in Epistemology 1.
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  • Philosophical Explanations.Robert Nozick - 1981 - Mind 93 (371):450-455.
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  • Evidence as Passing Severe Tests: Highly Probable versus Highly Probed Hypotheses.Deborah G. Mayo - 2005 - In P. Achinstein (ed.), Scientific Evidence: Philosophical Theories & Applications. The Johns Hopkins University Press. pp. 95--128.
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  • Sensitivity Principle in Epistemology.Guido Melchior - 2020 - Oxford Bibliographies Online.
    Sensitivity is a modal epistemic principle. Modal knowledge accounts are externalist in nature and claim that the knowledge yielding connection between a true belief and the truthmaker must be spelled out in modal terms. The sensitivity condition was introduced by Robert Nozick. He suggests that if S knows that p, then S’s belief that p tracks truth. Nozick argues that this truth-tracking relation can be captured by subjunctive conditionals. As a first approximation, he provides the following modal analysis of knowledge: (...)
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  • Theory and Evidence.Clark Glymour - 1981 - British Journal for the Philosophy of Science 32 (3):314-318.
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  • Theory and Evidence.Clark Glymour - 1982 - Erkenntnis 18 (1):105-130.
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  • Theory and Evidence.Clark Glymour - 1980 - Ethics 93 (3):613-615.
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