Results for 'Coin tossing'

978 found
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  1. Cheating at coin tossing.Eric Raidl - unknown
    Arguments for A "fair" coin has probability 1/2. There is no physical probability attached to the coin, we can cheat on each toss (by sufficient control). My aim: The coin toss is fine-grained deterministic, but coarsgrained random.
     
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  2.  46
    A Better Way of Framing Williamson’s Coin-Tossing Argument, but It Still Does Not Work.Colin Howson - 2019 - Philosophy of Science 86 (2):366-374.
    Timothy Williamson claimed to prove with a coin-tossing example that hyperreal probabilities cannot save the principle of regularity. A premise of his argument is that two specified infinitary events must be assigned the same probability because, he claims, they are isomorphic. But as has been pointed out, they are not isomorphic. A way of framing Williamson’s argument that does not make it depend on the isomorphism claim is in terms of shifts in Bernoulli processes, the usual mathematical model (...)
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  3. Tossing Morgenbesser’s Coin.Zachary Goodsell - 2022 - Analysis 82 (2):214-221.
    Morgenbesser's Coin is a thought experiment that exemplifies a widespread disposition to infer counterfactual independence from causal independence. I argue that this disposition is mistaken by analysing a closely related thought experiment.
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  4. Regularity and infinitely tossed coins.Colin Howson - 2017 - European Journal for Philosophy of Science 7 (1):97-102.
    Timothy Williamson has claimed to prove that regularity must fail even in a nonstandard setting, with a counterexample based on tossing a fair coin infinitely many times. I argue that Williamson’s argument is mistaken, and that a corrected version shows that it is not regularity which fails in the non-standard setting but a fundamental property of shifts in Bernoulli processes.
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  5. Spinning the Wheel or Tossing a Coin?Robert Huseby - 2011 - Utilitas 23 (2):127-139.
    In the literature on the so-called numbers problem, some authors have recently argued that the individualist lottery (IL) avoids the flaws of the proportional lottery. This article first presents two recent defenses of the IL, and then argues that both are implausible if we focus, as we should, strictly on their non-consequentialist aspects. This conclusion holds even if we take account of the fact that the IL is arguably that solution to the numbers problem which best meets the marginal difference (...)
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  6.  47
    Might god toss coins?Philip Pearle - 1982 - Foundations of Physics 12 (3):249-263.
    In the problem of the gambler's ruin, a classic problem in probability theory, a number of gamblers play against each other until all but one of them is “wiped out.” It is shown that this problem is identical to a previously presented formulation of the reduction of the state vector, so that the state vectors in a linear superposition may be regarded as “playing” against each other until all but one of them is “wiped out.” This is a useful part (...)
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  7. The toss-up between a profiting, innocent threat and his victim.Susanne Burri - 2015 - Journal of Political Philosophy 23 (2):146-165.
    Imagine that, through no fault of your own, you nd yourself at the bottom of a deep well. Thugs have picked up an innocent person | call him Bob | and have thrown him down the well. Bob is now falling towards you. If you do nothing, your body will cushion Bob's otherwise lethal fall. This will guarantee his survival, but it will kill you. If you shoot your ray gun, you vaporize and kill Bob, thereby saving your life. Are (...)
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  8. The eternal Coin: A puzzle about self-locating conditional credence.Cian Dorr - 2010 - Philosophical Perspectives 24 (1):189-205.
    The Eternal Coin is a fair coin has existed forever, and will exist forever, in a region causally isolated from you. It is tossed every day. How confident should you be that the Coin lands heads today, conditional on (i) the hypothesis that it has landed Heads on every past day, or (ii) the hypothesis that it will land Heads on every future day? I argue for the extremely counterintuitive claim that the correct answer to both questions (...)
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  9.  59
    Even Risk-Averters may Love Risk.Alfred Müller & Marco Scarsini - 2002 - Theory and Decision 52 (1):81-99.
    A decision maker bets on the outcomes of a sequence of coin-tossings. At the beginning of the game the decision maker can choose one of two coins to play the game. This initial choice is irreversible. The coins can be biased and the player is uncertain about the nature of one (or possibly both) coin(s). If the player is an expected-utility maximizer, her choice of the coin will depend on different elements: the nature of the game (namely, (...)
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  10. Morgenbesser’s Coin.Yael Loewenstein - 2021 - Canadian Journal of Philosophy 51 (5):317-328.
    Before a fair, indeterministic coin is tossed, Lucky, who is causally isolated from the coin-tossing mechanism, declines to bet on heads. The coin lands heads. The consensus is that the following counterfactual is true: (M:) If Lucky had bet heads, he would have won the bet. It is also widely believed that to rule (M) true, any plausible semantics for counterfactuals must invoke causal independence. But if that’s so, the hope of giving a reductive analysis of (...)
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  11. Timothy Williamson’s Coin-Flipping Argument: Refuted Prior to Publication?Colin Howson - 2019 - Erkenntnis 86 (3):575-583.
    In a well-known paper, Timothy Williamson claimed to prove with a coin-flipping example that infinitesimal-valued probabilities cannot save the principle of Regularity, because on pain of inconsistency the event ‘all tosses land heads’ must be assigned probability 0, whether the probability function is hyperreal-valued or not. A premise of Williamson’s argument is that two infinitary events in that example must be assigned the same probability because they are isomorphic. It was argued by Howson that the claim of isomorphism fails, (...)
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  12. Should the probabilities count?Katharina Rasmussen - 2012 - Philosophical Studies 159 (2):205-218.
    When facing a choice between saving one person and saving many, some people have argued that fairness requires us to decide without aggregating numbers; rather we should decide by coin toss or some form of lottery, or alternatively we should straightforwardly save the greater number but justify this in a non-aggregating contractualist way. This paper expands the debate beyond well-known number cases to previously under-considered probability cases, in which not (only) the numbers of people, but (also) the probabilities of (...)
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  13. Relative Expectation Theory.Mark Colyvan - 2008 - Journal of Philosophy 105 (1):37-44.
    Games such as the St. Petersburg game present serious problems for decision theory.1 The St. Petersburg game invokes an unbounded utility function to produce an infinite expectation for playing the game. The problem is usually presented as a clash between decision theory and intuition: most people are not prepared to pay a large finite sum to buy into this game, yet this is precisely what decision theory suggests we ought to do. But there is another problem associated with the St. (...)
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  14. (1 other version)Infinitesimal Probabilities.Vieri Benci, Leon Horsten & Sylvia Wenmackers - 2016 - British Journal for the Philosophy of Science 69 (2):509-552.
    Non-Archimedean probability functions allow us to combine regularity with perfect additivity. We discuss the philosophical motivation for a particular choice of axioms for a non-Archimedean probability theory and answer some philosophical objections that have been raised against infinitesimal probabilities in general. _1_ Introduction _2_ The Limits of Classical Probability Theory _2.1_ Classical probability functions _2.2_ Limitations _2.3_ Infinitesimals to the rescue? _3_ NAP Theory _3.1_ First four axioms of NAP _3.2_ Continuity and conditional probability _3.3_ The final axiom of NAP (...)
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  15.  41
    Lying, more or less: a computer simulation study of graded lies and trust dynamics.Borut Trpin, Anna Dobrosovestnova & Sebastian J. Götzendorfer - 2020 - Synthese 199 (1-2):1-28.
    Partial lying denotes the cases where we partially believe something to be false but nevertheless assert it with the intent to deceive the addressee. We investigate how the severity of partial lying may be determined and how partial lies can be classified. We also study how much epistemic damage an agent suffers depending on the level of trust that she invests in the liar and the severity of the lies she is told. Our analysis is based on the results from (...)
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  16. How probable is an infinite sequence of heads? A reply to Williamson.Ruth Weintraub - 2008 - Analysis 68 (299):247-250.
    It is possible that a fair coin tossed infinitely many times will always land heads. So the probability of such a sequence of outcomes should, intuitively, be positive, albeit miniscule: 0 probability ought to be reserved for impossible events. And, furthermore, since the tosses are independent and the probability of heads (and tails) on a single toss is half, all sequences are equiprobable. But Williamson has adduced an argument that purports to show that our intuitions notwithstanding, the probability of (...)
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  17.  62
    Explaining the gambler's fallacy: Testing a gestalt explanation versus the “law of small numbers”.Christopher J. R. Roney & Natalie Sansone - 2015 - Thinking and Reasoning 21 (2):193-205.
    The present study tests a gestalt explanation for the gambler's fallacy which posits that runs in random events will be expected to reverse only when the run is open or ongoing. This is contrasted with the law of small numbers explanation suggesting that people expect random outcomes to balance out generally. Sixty-one university students placed hypothetical guesses and bets on a series of coin tosses. Either heads or tails were dominant . In a closed run condition the run ended (...)
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  18.  77
    Internal laws of probability, generalized likelihoods and Lewis' infinitesimal chances–a response to Adam Elga.Frederik Herzberg - 2007 - British Journal for the Philosophy of Science 58 (1):25-43.
    The rejection of an infinitesimal solution to the zero-fit problem by A. Elga ([2004]) does not seem to appreciate the opportunities provided by the use of internal finitely-additive probability measures. Indeed, internal laws of probability can be used to find a satisfactory infinitesimal answer to many zero-fit problems, not only to the one suggested by Elga, but also to the Markov chain (that is, discrete and memory-less) models of reality. Moreover, the generalization of likelihoods that Elga has in mind is (...)
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  19.  80
    Popper Functions, Uniform Distributions and Infinite Sequences of Heads.Alexander R. Pruss - 2015 - Journal of Philosophical Logic 44 (3):259-271.
    Popper functions allow one to take conditional probabilities as primitive instead of deriving them from unconditional probabilities via the ratio formula P=P/P. A major advantage of this approach is it allows one to condition on events of zero probability. I will show that under plausible symmetry conditions, Popper functions often fail to do what they were supposed to do. For instance, suppose we want to define the Popper function for an isometrically invariant case in two dimensions and hence require the (...)
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  20. Sleeping beauty: In defence of Elga.Cian Dorr - 2002 - Analysis 62 (4):292–296.
    Argues for the "thirder" solution to the Sleeping Beauty puzzle. The argument turns on an analogy with a variant case, in which a coin-toss on Monday night determines whether one's memories of Monday are permanently erased, or merely suspended in such a way that they will return some time after one wakes up on Tuesday.
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  21.  16
    How language makes meaning: beyond the embodiment revolution.Herbert L. Colston - 2019 - New York, NY: Cambridge University Press.
    Preface -- Acknowledgments -- A note on examples -- 1. The coin toss -- 2. Deviance -- 3. Omission -- 4. Imprecision -- 5. Indirectness -- 6. Figurativeness -- 7. Language play -- 8. THE social media -- 9. The art of language -- 10. The end game -- Epilogue: A clearing revealing an eclipse -- References -- Index.
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  22.  96
    Randomized dictatorship and the Kalai–Smorodinsky bargaining solution.Shiran Rachmilevitch - 2014 - Theory and Decision 76 (2):173-177.
    “Randomized dictatorship,” one of the simplest ways to solve bargaining situations, works as follows: a fair coin toss determines the “dictator”—the player to be given his first-best payoff. The two major bargaining solutions, that of Nash and that of Kalai and Smorodinsky, Pareto-dominate this process. However, whereas the existing literature offers axiomatizations of the Nash solution in which this ex ante domination plays a central role, it does not provide an analogous result for Kalai–Smorodinsky. This paper fills in this (...)
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  23. Beauty and the bets.Christopher Hitchcock - 2004 - Synthese 139 (3):405 - 420.
    In the Sleeping Beauty problem, Beauty is uncertain whether the outcome of a certain coin toss was heads or tails. One argument suggests that her degree of belief in heads should be 1/3, while a second suggests that it should be 1/2. Prima facie, the argument for 1/2 appears to be stronger. I offer a diachronic Dutch Book argument in favor of 1/3. Even for those who are not routinely persuaded by diachronic Dutch Book arguments, this one has some (...)
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  24.  59
    Bayesian Convergence and the Fair-Balance Paradox.Bengt Autzen - 2018 - Erkenntnis 83 (2):253-263.
    The paper discusses Bayesian convergence when the truth is excluded from the analysis by means of a simple coin-tossing example. In the fair-balance paradox a fair coin is tossed repeatedly. A Bayesian agent, however, holds the a priori view that the coin is either biased towards heads or towards tails. As a result the truth is ignored by the agent. In this scenario the Bayesian approach tends to confirm a false model as the data size goes (...)
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  25.  20
    The Negative Association Between Positive Psychological Wellbeing and Loss Aversion.Ibuki Koan, Takumi Nakagawa, Chong Chen, Toshio Matsubara, Huijie Lei, Kosuke Hagiwara, Masako Hirotsu, Hirotaka Yamagata & Shin Nakagawa - 2021 - Frontiers in Psychology 12.
    When making decisions, people tend to overweigh the impact of losses compared to gains, a phenomenon known as loss aversion. A moderate amount of LA may be adaptive as it is necessary for protecting oneself from danger. However, excessive LA may leave people few opportunities and ultimately lead to suboptimal outcomes. Despite frequent reports of elevated LA in specific populations such as patients with depression, little is known about what psychological characteristics are associated with the tendency of LA. Based on (...)
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  26.  56
    Direct inference and the sleeping beauty problem.Kaila Draper - 2019 - Synthese 198 (3):2253-2271.
    This article is an attempt to use the insights of objective probability theory to solve the Sleeping Beauty problem. The approach is to develop a partial theory of direct inference and then apply that partial theory to the problem. One of the crucial components of the partial theory is the thesis that expected indefinite probabilities provide a reliable basis for direct inference. The article relies heavily on recent work by Paul D. Thorn to defend that thesis. The article’s primary conclusion (...)
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  27. Determinism and Chance from a Humean Perspective.Roman Frigg & Carl Hoefer - 2010 - In Thomas Uebel, Stephan Hartmann, Wenceslao Gonzalez, Marcel Weber, Dennis Dieks & Friedrich Stadler (eds.), The Present Situation in the Philosophy of Science. Springer. pp. 351--72.
    On the face of it ‘deterministic chance’ is an oxymoron: either an event is chancy or deterministic, but not both. Nevertheless, the world is rife with events that seem to be exactly that: chancy and deterministic at once. Simple gambling devices like coins and dice are cases in point. On the one hand they are governed by deterministic laws – the laws of classical mechanics – and hence given the initial condition of, say, a coin toss it is determined (...)
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  28. A challenge for halfers.Cian Dorr - manuscript
    Let me regale you with yet another variant of the story of Sleeping Beauty. In this one, the experiment takes place in a room with a skylight, so that Beauty can see what the weather is like outside as soon as she wakes up. The weather can be in any one of n different states on any given day. Beauty regards each of these states as equiprobable; moreover, she takes there to be no correlation between the weather on Monday and (...)
     
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  29.  7
    Remote possibilities in branching time structures.Sylvia Wenmackers - 2024 - Synthese 204 (2):1-28.
    To analyse contingent propositions, this paper investigates how branching time structures can be combined with probability theory. In particular, it considers assigning infinitesimal probabilities—available in non-Archimedean probability theory—to individual histories. This allows us to introduce the concept of ‘remote possibility’ as a new modal notion between ‘impossibility’ and ‘appreciable possibility’. The proposal is illustrated by applying it to a future contingent and a historical counterfactual concerning an infinite sequence of coin tosses. The latter is a toy model that is (...)
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  30. The Aid That Leaves Something to Chance.Kenneth Walden - 2014 - Ethics 124 (2):231-241.
    I argue that a crucial point has been overlooked in the debate over the “numbers problem.” The initial arrangement of parties in the problem can be thought of as chancy, and whatever considerations of fairness recommend the reliance on something like a coin toss in approaching this problem equally recommend treating the initial distribution as a kind of lottery. This fact, I suggest, undermines one of the principal arguments against saving the greater number.
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  31.  77
    Past Probabilities.Sven Ove Hansson - 2010 - Notre Dame Journal of Formal Logic 51 (2):207-223.
    The probability that a fair coin tossed yesterday landed heads is either 0 or 1, but the probability that it would land heads was 0.5. In order to account for the latter type of probabilities, past probabilities, a temporal restriction operator is introduced and axiomatically characterized. It is used to construct a representation of conditional past probabilities. The logic of past probabilities turns out to be strictly weaker than the logic of standard probabilities.
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  32. Science, Values, and the Priority of Evidence.P. D. Magnus - 2018 - Logos and Episteme 9 (4):413-431.
    It is now commonly held that values play a role in scientific judgment, but many arguments for that conclusion are limited. First, many arguments do not show that values are, strictly speaking, indispensable. The role of values could in principle be filled by a random or arbitrary decision. Second, many arguments concern scientific theories and concepts which have obvious practical consequences, thus suggesting or at least leaving open the possibility that abstruse sciences without such a connection could be value-free. Third, (...)
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  33.  27
    The presence of something or the absence of nothing: Increasing theoretical precision in management research.J. Berry & Edwards Jr - unknown
    In management research, theory testing confronts a paradox described by Meehl in which designing studies with greater methodological rigor puts theories at less risk of falsification. This paradox exists because most management theories make predictions that are merely directional, such as stating that two variables will be positively or negatively related. As methodological rigor increases, the probability that an estimated effect will differ from zero likewise increases, and the likelihood of finding support for a directional prediction boils down to a (...)
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  34. Sympathetic magic and perceptions of randomness: The hot hand versus the gambler's fallacy.Lana M. Trick & Christopher J. R. Roney - 2009 - Thinking and Reasoning 15 (2):197-210.
    The gambler's fallacy and hot hand were studied in predictions about outcomes of coin tosses. A critical trial occurred when participants made predictions after a “run” of four heads or tails. Participants' attention was manipulated to focus on the person flipping the coin, the coin, or neither (control group) as a possible cause of the run. We also manipulated whether or not there was a change in who tossed the coin. In the control condition the standard (...)
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  35.  55
    A classical way forward for the regularity and normalization problems.Alexander R. Pruss - 2021 - Synthese 199 (5-6):11769-11792.
    Bayesian epistemology has struggled with the problem of regularity: how to deal with events that in classical probability have zero probability. While the cases most discussed in the literature, such as infinite sequences of coin tosses or continuous spinners, do not actually come up in scientific practice, there are cases that do come up in science. I shall argue that these cases can be resolved without leaving the realm of classical probability, by choosing a probability measure that preserves “enough” (...)
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  36. A note on Monte Carlo primality tests and algorithmic information theory.Jacob T. Schwartz - unknown
    clusions are only probably correct. On the other hand, algorithmic information theory provides a precise mathematical definition of the notion of random or patternless sequence. In this paper we shall describe conditions under which if the sequence of coin tosses in the Solovay– Strassen and Miller–Rabin algorithms is replaced by a sequence of heads and tails that is of maximal algorithmic information content, i.e., has maximal algorithmic randomness, then one obtains an error-free test for primality. These results are only (...)
     
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  37.  70
    On Three Measures of Explanatory Power with Axiomatic Representations.Michael P. Cohen - 2016 - British Journal for the Philosophy of Science 67 (4):1077-1089.
    Jonah N. Schupbach and Jan Sprenger and Vincenzo Crupi and Katya Tentori have recently proposed measures of explanatory power and have shown that they are characterized by certain arguably desirable conditions or axioms. I further examine the properties of these two measures, and a third measure considered by I. J. Good and Timothy McGrew . This third measure also has an axiomatic representation. I consider a simple coin-tossing example in which only the Crupi–Tentori measure does not perform well. (...)
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  38.  6
    Determinism and chance from a Humean perspective.Friedrich Stadler - 2010 - In Thomas Uebel, Stephan Hartmann, Wenceslao Gonzalez, Marcel Weber, Dennis Dieks & Friedrich Stadler (eds.), The Present Situation in the Philosophy of Science. Springer. pp. 351-371.
    On the face of it ‘deterministic chance’ is an oxymoron: either a process is chancy or deterministic, but not both. Nevertheless, the world is rife with processes that seem to be exactly that: chancy and deterministic at once. Simple gambling devices like coins and dice are cases in point.2 On the one hand they are governed by deterministic laws – the laws of classical mechanics – and hence given the initial condition of, say, a coin it is determined whether (...)
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  39.  54
    The Sleeping Beauty Problem: What about Monday?Nathan Moore - manuscript
    In this paper I defend the thirder solution to the sleeping beauty problem by considering the credence Beauty ought to have, upon first awakening, that it is Monday. This leads to problems for the double-halfer and halfer but not for the thirder. In the three cases the credences Beauty ought to have, upon first awakening, that it is Monday are 1, 3/4, and 2/3, respectively. The first value is implausible given that Tuesday awakenings are possible. The second is implausible because (...)
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  40.  45
    Sleeping Beauty in Quantumland.Lev Vaidman - unknown
    It is argued that thirder resolution of the Lewis - Elga controversy about Sleeping Beauty is more clear when the coin toss is replaced by a quantum measurement and the analysis is performed in the framework of the Many-Worlds Interpretation.
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  41. Sleeping Beauty meets Monday.Karl Karlander & Levi Spectre - 2010 - Synthese 174 (3):397-412.
    The Sleeping Beauty problem—first presented by A. Elga in a philosophical context—has captured much attention. The problem, we contend, is more aptly regarded as a paradox: apparently, there are cases where one ought to change one’s credence in an event’s taking place even though one gains no new information or evidence, or alternatively, one ought to have a credence other than 1/2 in the outcome of a future coin toss even though one knows that the coin is fair. (...)
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  42. Fairness in life and Death Cases.Gerald Lang - 2005 - Erkenntnis 62 (3):321-351.
    John Taurek famously argued that, in ‘conflict cases’, where we are confronted with a smaller and a larger group of individuals, and can choose which group to save from harm, we should toss a coin, rather than saving the larger group. This is primarily because coin-tossing is fairer: it ensures that each individual, regardless of the group to which he or she belongs, has an equal chance of being saved. This article provides a new response to Taurek’s (...)
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  43. No Double-Halfer Embarrassment: A Reply to Titelbaum.Joel Pust - 2023 - Analytic Philosophy 64 (3):346-354.
    “Double-halfers” think that throughout the Sleeping Beauty Scenario, Beauty ought to maintain a credence of 1/2 in the proposition that the fair coin toss governing the experimental protocol comes up heads. Titelbaum (2012) introduces a novel variation on the standard scenario, one involving an additional coin toss, and claims that the double-halfer is committed to the absurd and embarrassing result that Beauty’s credence in an indexical proposition concerning the outcome of a future fair coin toss is not (...)
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  44.  62
    The hot hand belief and the gambler’s fallacy in investment decisions under risk.Jürgen Huber, Michael Kirchler & Thomas Stöckl - 2010 - Theory and Decision 68 (4):445-462.
    We conduct experiments to analyze investment behavior in decisions under risk. Subjects can bet on the outcomes of a series of coin tosses themselves, rely on randomized ‘experts’, or choose a risk-free alternative. We observe that subjects who rely on the randomized experts pick those who were successful in the past, showing behavior consistent with the hot hand belief. Obviously the term ‘expert’ suffices to attract some subjects. For those who decide on their own, we find behavior consistent with (...)
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  45. Une application des n-univers a l'argument de l'apocalypse et au paradoxe de Goodman.Paul Franceschi - 2002 - Dissertation, University of Corsica
    Several philosophical problems are based on an analogy between a real situation and a probabilistic model. Such problems are based on urn analogies. The present dissertation aims to describe and implement a methodology oriented towards the resolution of philosophical problems based on an urn analogy. This methodology is based on the use of the n-universes. To this end, I describe first the n-universes in a detailed way. I also discuss the difficulties of the theory of n-universes related to the demultiplication (...)
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  46.  50
    Infinite frequency principles of direct inference.Lennart B. Ackermans - 2022 - Synthese 200 (2).
    According to an infinite frequency principle, it is rational, under certain conditions, to set your credence in an outcome to the limiting frequency of that outcome if the experiment were repeated indefinitely. I argue that most infinite frequency principles are undesirable in at least one of the following ways: accepting the principle would lead you to accept bets with sure losses, the principle gives no guidance in the case of deterministic experiments like coin tosses and the principle relies on (...)
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  47. Diversity and inclusion for rodents: how animal ethics committees can help improve translation.Piotrowska Monika - 2023 - Journal of Medical Ethics 1.
    Translation failure occurs when a treatment shown to be safe and effective in one type of population does not produce the same result in another. We are currently in a crisis involving the translatability of preclinical studies to human populations. Animal trials are no better than a coin toss at predicting the safety and efficacy of drugs in human trials, and the high failure rate of drugs entering human trials suggests that most of the suffering of laboratory animals is (...)
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  48.  19
    Battlefield Triage.Christopher Bobier & Daniel Hurst - 2024 - Voices in Bioethics 10.
    Photo ID 222412412 © US Navy Medicine | Dreamstime.com ABSTRACT In a non-military setting, the answer is clear: it would be unethical to treat someone based on non-medical considerations such as nationality. We argue that Battlefield Triage is a moral tragedy, meaning that it is a situation in which there is no morally blameless decision and that the demands of justice cannot be satisfied. INTRODUCTION Medical resources in an austere environment without quick recourse for resupply or casualty evacuation are often (...)
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  49. Wittgenstein's philosophical grammar: A neglected discussion of vagueness.Nadine Faulkner - 2009 - Philosophical Investigations 33 (2):159-183.
    In this paper I explore a neglected discussion of vagueness put forward by Wittgenstein in his Philosophical Grammar (1932–34). In this work, unlike Philosophical Investigations (1953), Wittgenstein not only discusses the venerable Sorites paradox but provides a novel conception of vagueness using an analogy with coin tossing and converging intervals. As he sees it, the problematic picture of vagueness arises because we conflate aspects of the functioning of vague concepts with those of non-vague ones. Thus, while we accept (...)
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  50.  5
    Springs of Action: Understanding Intentional Behavior by Alfred R. Mele.Thomas F. Tracy - 1995 - The Thomist 59 (2):332-335.
    In lieu of an abstract, here is a brief excerpt of the content:332 BOOK REVIEWS toral inventions (such as basic Christian communities), and the religious backgrounds of millions who help to make up the churches, Catholic and Protestant, of the United States. Providence College Providence, RI EDWARD L. CLEARY, O.P. Springs of Action: Understanding Intentional Behavior. By ALFRED R. MELE. New York and Oxford: Oxford University Press, 1992. Pp. 272 + ix. $39.95 (cloth). Alfred Mele's overarching aim in this book (...)
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