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573Confirmation, transitivity, and Moore: the Screening-Off ApproachPhilosophical Studies (3): 1-21. 2013.It is well known that the probabilistic relation of confirmation is not transitive in that even if E confirms H1 and H1 confirms H2, E may not confirm H2. In this paper we distinguish four senses of confirmation and examine additional conditions under which confirmation in different senses becomes transitive. We conduct this examination both in the general case where H1 confirms H2 and in the special case where H1 also logically entails H2. Based on these analyses, we argue that the Screening-Of…Read more
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254Review of Ted Poston's Reason and explanation: A defense of explanatory coherentism (2014, Palgrave Macmillan) (review)Notre Dame Philosophical Reviews 1-7. 2015.Ted Poston's book Reason and Explanation: A Defense of Explanatory Coherentism is a book worthy of careful study. Poston develops and defends an explanationist theory of (epistemic) justification on which justification is a matter of explanatory coherence which in turn is a matter of conservativeness, explanatory power, and simplicity. He argues that his theory is consistent with Bayesianism. He argues, moreover, that his theory is needed as a supplement to Bayesianism. There are seven chapters.…Read more
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192A note on confirmation and Matthew propertiesLogic and Philosophy of Science 12 91-101. 2014.There are numerous (Bayesian) confirmation measures in the literature. Festa provides a formal characterization of a certain class of such measures. He calls the members of this class “incremental measures”. Festa then introduces six rather interesting properties called “Matthew properties” and puts forward two theses, hereafter “T1” and “T2”, concerning which of the various extant incremental measures have which of the various Matthew properties. Festa’s discussion is potentially helpful with t…Read more
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326Foundationalism with infinite regresses of probabilistic supportSynthese 195 (9): 3899-3917. 2018.There is a long-standing debate in epistemology on the structure of justification. Some recent work in formal epistemology promises to shed some new light on that debate. I have in mind here some recent work by David Atkinson and Jeanne Peijnenburg, hereafter “A&P”, on infinite regresses of probabilistic support. A&P show that there are probability distributions defined over an infinite set of propositions {\ such that \ is probabilistically supported by \ for all i and \ has a high probability.…Read more
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436Coherentism and InconsistencySouthwest Philosophy Review 27 (1): 185-193. 2011.If a subject’s belief system is inconsistent, does it follow that the subject’s beliefs (all of them) are unjustified? It seems not. But, coherentist theories of justification (at least some of them) imply otherwise, and so, it seems, are open to counterexample. This is the “Problem of Justified Inconsistent Beliefs”. I examine two main versions of the Problem of Justified Inconsistent Beliefs, and argue that coherentists can give at least a promising line of response to each of them.
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271Is coherentism inconsistent?Southwest Philosophical Studies 33 84-90. 2011.Can a perceptual experience justify (epistemically) a belief? More generally, can a nonbelief justify a belief? Coherentists answer in the negative: Only a belief can justify a belief. A perceptual experience can cause a belief but cannot justify a belief. Coherentists eschew all noninferential justification—justification independent of evidential support from beliefs—and, with it, the idea that justification has a foundation. Instead, justification is holistic in structure. Beliefs are justifie…Read more
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573Coherence, Probability and ExplanationErkenntnis 79 (4): 821-828. 2014.Recently there have been several attempts in formal epistemology to develop an adequate probabilistic measure of coherence. There is much to recommend probabilistic measures of coherence. They are quantitative and render formally precise a notion—coherence—notorious for its elusiveness. Further, some of them do very well, intuitively, on a variety of test cases. Siebel, however, argues that there can be no adequate probabilistic measure of coherence. Take some set of propositions A, some probabi…Read more
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289Dwindling ConfirmationPhilosophy of Science 81 (1): 114-137. 2014.We show that as a chain of confirmation becomes longer, confirmation dwindles under screening-off. For example, if E confirms H1, H1 confirms H2, and H1 screens off E from H2, then the degree to which E confirms H2 is less than the degree to which E confirms H1. Although there are many measures of confirmation, our result holds on any measure that satisfies the Weak Law of Likelihood. We apply our result to testimony cases, relate it to the Data-Processing Inequality in information theory, and e…Read more
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424A condition for transitivity in high probabilityEuropean Journal for Philosophy of Science 7 (3): 435-444. 2017.There are many scientific and everyday cases where each of Pr and Pr is high and it seems that Pr is high. But high probability is not transitive and so it might be in such cases that each of Pr and Pr is high and in fact Pr is not high. There is no issue in the special case where the following condition, which I call “C1”, holds: H 1 entails H 2. This condition is sufficient for transitivity in high probability. But many of the scientific and everyday cases referred to above are cases where it …Read more
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547Coherence and probability: A probabilistic account of coherenceIn Michal Araszkiewicz & Jaromír Šavelka (eds.), Coherence: Insights from Philosophy, Jurisprudence and Artificial Intelligence, Springer. pp. 59-91. 2013.I develop a probabilistic account of coherence, and argue that at least in certain respects it is preferable to (at least some of) the main extant probabilistic accounts of coherence: (i) Igor Douven and Wouter Meijs’s account, (ii) Branden Fitelson’s account, (iii) Erik Olsson’s account, and (iv) Tomoji Shogenji’s account. Further, I relate the account to an important, but little discussed, problem for standard varieties of coherentism, viz., the “Problem of Justified Inconsistent Beliefs.”
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502On the Truth-Conduciveness of CoherenceErkenntnis 79 (S3): 647-665. 2014.I argue that coherence is truth-conducive in that coherence implies an increase in the probability of truth. Central to my argument is a certain principle for transitivity in probabilistic support. I then address a question concerning the truth-conduciveness of coherence as it relates to (something else I argue for) the truth-conduciveness of consistency, and consider how the truth-conduciveness of coherence bears on coherentist theories of justification
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289Confirmation, increase in probability, and partial discrimination: A reply to ZalabardoEuropean Journal for Philosophy of Science 6 (1): 1-7. 2016.There is a plethora of confirmation measures in the literature. Zalabardo considers four such measures: PD, PR, LD, and LR. He argues for LR and against each of PD, PR, and LD. First, he argues that PR is the better of the two probability measures. Next, he argues that LR is the better of the two likelihood measures. Finally, he argues that LR is superior to PR. I set aside LD and focus on the trio of PD, PR, and LR. The question I address is whether Zalabardo succeeds in showing that LR is supe…Read more
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649Is Explanatoriness a Guide to Confirmation? A Reply to ClimenhagaJournal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 48 (4): 581-590. 2017.We argued that explanatoriness is evidentially irrelevant in the following sense: Let H be a hypothesis, O an observation, and E the proposition that H would explain O if H and O were true. Then our claim is that Pr = Pr. We defended this screening-off thesis by discussing an example concerning smoking and cancer. Climenhaga argues that SOT is mistaken because it delivers the wrong verdict about a slightly different smoking-and-cancer case. He also considers a variant of SOT, called “SOT*”, and …Read more
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436Is there a place in Bayesian confirmation theory for the Reverse Matthew Effect?Synthese 195 (4): 1631-1648. 2018.Bayesian confirmation theory is rife with confirmation measures. Many of them differ from each other in important respects. It turns out, though, that all the standard confirmation measures in the literature run counter to the so-called “Reverse Matthew Effect” (“RME” for short). Suppose, to illustrate, that H1 and H2 are equally successful in predicting E in that p(E | H1)/p(E) = p(E | H2)/p(E) > 1. Suppose, further, that initially H1 is less probable than H2 in that p(H1) < p(H2). Then by RME …Read more
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