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Coin trials

Canadian Journal of Philosophy 48 (5):726-741 (2018)

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  1. Giving your knowledge half a chance.Andrew Bacon - 2014 - Philosophical Studies (2):1-25.
    One thousand fair causally isolated coins will be independently flipped tomorrow morning and you know this fact. I argue that the probability, conditional on your knowledge, that any coin will land tails is almost 1 if that coin in fact lands tails, and almost 0 if it in fact lands heads. I also show that the coin flips are not probabilistically independent given your knowledge. These results are uncomfortable for those, like Timothy Williamson, who take these probabilities to play a (...)
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  • Knowing against the odds.Cian Dorr, Jeremy Goodman & John Hawthorne - 2014 - Philosophical Studies 170 (2):277-287.
    We present and discuss a counterexample to the following plausible principle: if you know that a coin is fair, and for all you know it is going to be flipped, then for all you know it will land tails.
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  • Knowledge and its limits.Timothy Williamson - 2000 - New York: Oxford University Press.
    Knowledge and its Limits presents a systematic new conception of knowledge as a kind of mental stage sensitive to the knower's environment. It makes a major contribution to the debate between externalist and internalist philosophies of mind, and breaks radically with the epistemological tradition of analyzing knowledge in terms of true belief. The theory casts new light on such philosophical problems as scepticism, evidence, probability and assertion, realism and anti-realism, and the limits of what can be known. The arguments are (...)
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  • Knowledge and Objective Chance.John Hawthorne & Maria Lasonen-Aarnio - 2009 - In Duncan Pritchard & Patrick Greenough (eds.), Williamson on Knowledge. Oxford, GB: Oxford: Oxford University Press. pp. 92--108.
    We think we have lots of substantial knowledge about the future. But contemporary wisdom has it that indeterminism prevails in such a way that just about any proposition about the future has a non-zero objective chance of being false.2, 3 What should one do about this? One, pessimistic, reaction is scepticism about knowledge of the future. We think this should be something of a last resort, especially since this scepticism is likely to infect alleged knowledge of the present and past. (...)
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  • What Else Justification Could Be1.Martin Smith - 2010 - Noûs 44 (1):10-31.
    According to a captivating picture, epistemic justification is essentially a matter of epistemic or evidential likelihood. While certain problems for this view are well known, it is motivated by a very natural thought—if justification can fall short of epistemic certainty, then what else could it possibly be? In this paper I shall develop an alternative way of thinking about epistemic justification. On this conception, the difference between justification and likelihood turns out to be akin to the more widely recognised difference (...)
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  • (2 other versions)Knowledge and Its Limits.Timothy Williamson - 2005 - Philosophy and Phenomenological Research 70 (2):452-458.
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  • (2 other versions)Knowledge and Its Limits.Timothy Williamson - 2000 - Philosophy 76 (297):460-464.
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  • Vagueness.Timothy Williamson - 1994 - British Journal for the Philosophy of Science 46 (4):589-601.
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  • Taking a chance on KK.Jeremy Goodman & Bernhard Salow - 2018 - Philosophical Studies 175 (1):183-196.
    Dorr et al. present a case that poses a challenge for a number of plausible principles about knowledge and objective chance. Implicit in their discussion is an interesting new argument against KK, the principle that anyone who knows p is in a position to know that they know p. We bring out this argument, and investigate possible responses for defenders of KK, establishing new connections between KK and various knowledge-chance principles.
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  • How to be an Infallibilist.Julien Dutant - 2016 - Philosophical Issues 26 (1):148-171.
    When spelled out properly infallibilism is a viable and even attractive view. Because it has long been summary dismissed, however, we need a guide on how to properly spell it out. The guide has to fulfil four tasks. The first two concern the nature of knowledge: to argue that infallible belief is necessary, and that it is sufficient, for knowledge. The other two concern the norm of belief: to argue that knowledge is necessary, and that it is sufficient, for justified (...)
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  • Between Probability and Certainty: What Justifies Belief.Martin Smith - 2016 - Oxford, GB: Oxford University Press UK.
    This book explores a question central to philosophy--namely, what does it take for a belief to be justified or rational? According to a widespread view, whether one has justification for believing a proposition is determined by how probable that proposition is, given one's evidence. In this book this view is rejected and replaced with another: in order for one to have justification for believing a proposition, one's evidence must normically support it--roughly, one's evidence must make the falsity of that proposition (...)
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  • A model of tolerance.Elia Zardini - 2008 - Studia Logica 90 (3):337-368.
    According to the naive theory of vagueness, the vagueness of an expression consists in the existence of both positive and negative cases of application of the expression and in the non- existence of a sharp cut-off point between them. The sorites paradox shows the naive theory to be inconsistent in most logics proposed for a vague language. The paper explores the prospects of saving the naive theory by revising the logic in a novel way, placing principled restrictions on the transitivity (...)
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  • Knowledge and its Limits. [REVIEW]L. Horsten - 2000 - Tijdschrift Voor Filosofie 64 (1):200-201.
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  • (3 other versions)Précis of Vagueness.Timothy Williamson - 1997 - Philosophy and Phenomenological Research 57 (4):921-928.
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  • (2 other versions)Knowledge and Its Limits.Timothy Williamson - 2003 - Philosophical Quarterly 53 (210):105-116.
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  • Why throwing 92 heads in a row is not surprising.Martin Smith - 2017 - Philosophers' Imprint 17.
    Tom Stoppard’s “Rosencrantz and Guildenstern Are Dead” opens with a puzzling scene in which the title characters are betting on coin throws and observe a seemingly astonishing run of 92 heads in a row. Guildenstern grows uneasy and proposes a number of unsettling explanations for what is occurring. Then, in a sudden change of heart, he appears to suggest that there is nothing surprising about what they are witnessing, and nothing that needs any explanation. He says ‘…each individual coin spun (...)
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  • Inexact Knowledge without Improbable Knowing.Jeremy Goodman - 2013 - Inquiry: An Interdisciplinary Journal of Philosophy 56 (1):30-53.
    In a series of recent papers, Timothy Williamson has argued for the surprising conclusion that there are cases in which you know a proposition in spite of its being overwhelmingly improbable given what you know that you know it. His argument relies on certain formal models of our imprecise knowledge of the values of perceptible and measurable magnitudes. This paper suggests an alternative class of models that do not predict this sort of improbable knowing. I show that such models are (...)
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  • Practical Imagination and its Limits.Matthew Noah Smith - 2010 - Philosophers' Imprint 10:1-20.
    It is common to talk about options, where an option is a course of action an agent can take. A course of action, in turn, is that which can be the object of intention. It has not often been noticed in the literature, though, that there are two ways to understand what makes something an option: first, an option just is some course of action physically open (or, to be maximally liberal, logically open) to an agent; second, an option just (...)
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  • (2 other versions)Knowledge and Its Limits.R. Foley - 2002 - Mind 111 (443):718-726.
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