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  1. Correlation Isn’T Good Enough: Causal Explanation and Big Data. [REVIEW]Frank Cabrera - forthcoming - Metascience:1-4.
    A review of Gary Smith and Jay Cordes: The Phantom Pattern Problem: The Mirage of Big Data. New York: Oxford University Press, 2020.
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  2. Explanatory Coherence and the Impossibility of Confirmation by Coherence.Ted Poston - forthcoming - Philosophy of Science 88 (5).
    The coherence of independent reports provides a strong reason to believe that the reports are true. This plausible claim has come under attack from recent results in Bayesian epistemology. Huemer (1997), Olsson (2002, 2005), and Bovens and Hartmann (2003) prove that, under certain probabilistic conditions, coherence cannot increase the probability of the target claim. These results are taken to demonstrate that epistemic coherentism is untenable. To date no one has investigated how these Bayesian results bear on different conceptions of coherence. (...)
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  3. Determining the Need for Explanation.Martin Jakobsen - 2020 - Faith and Philosophy 37 (2):230-241.
    Several theistic arguments are formulated as arguments for the best explanation. This article discusses how one can determine that some phenomenon actually needs an explanation. One way to demonstrate that an explanation is needed is by providing one. The proposed explanation ought to either make the occurrence of the phenomenon in question more probable than it occurring by chance, or it has to sufficiently increase our understanding of the phenomenon. A second way to demonstrate that an explanation is needed is (...)
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  4. The Intrinsic Probability of Grand Explanatory Theories.Ted Poston - forthcoming - Faith and Philosophy.
    This paper articulates a way to ground a relatively high prior probability for grand explanatory theories apart from an appeal to simplicity. I explore the possibility of enumerating the space of plausible grand theories of the universe by using the explanatory properties of possible views to limit the number of plausible theories. I motivate this alternative grounding by showing that Swinburne’s appeal to simplicity is problematic along several dimensions. I then argue that there are three plausible grand views—theism, atheism, and (...)
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  5. Evidence and Explanation in Cicero's On Divination.Frank Cabrera - 2020 - Studies in History and Philosophy of Science Part A 82:34-43.
    In this paper, I examine Cicero’s oft-neglected De Divinatione, a dialogue investigating the legitimacy of the practice of divination. First, I offer a novel analysis of the main arguments for divination given by Quintus, highlighting the fact that he employs two logically distinct argument forms. Next, I turn to the first of the main arguments against divination given by Marcus. Here I show, with the help of modern probabilistic tools, that Marcus’ skeptical response is far from the decisive, proto-naturalistic assault (...)
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  6. The Fate of Explanatory Reasoning in the Age of Big Data.Frank Cabrera - forthcoming - Philosophy and Technology:1-21.
    In this paper, I critically evaluate several related, provocative claims made by proponents of data-intensive science and “Big Data” which bear on scientific methodology, especially the claim that scientists will soon no longer have any use for familiar concepts like causation and explanation. After introducing the issue, in section 2, I elaborate on the alleged changes to scientific method that feature prominently in discussions of Big Data. In section 3, I argue that these methodological claims are in tension with a (...)
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  7. Evidence and Inductive Inference.Nevin Climenhaga - 2021 - In Maria Lasonen-Aarnio & Clayton Littlejohn (eds.), The Routledge Handbook of the Philosophy of Evidence. Routledge.
    This chapter presents a typology of the different kinds of inductive inferences we can draw from our evidence, based on the explanatory relationship between evidence and conclusion. Drawing on the literature on graphical models of explanation, I divide inductive inferences into (a) downwards inferences, which proceed from cause to effect, (b) upwards inferences, which proceed from effect to cause, and (c) sideways inferences, which proceed first from effect to cause and then from that cause to an additional effect. I further (...)
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  8. Kevin McCain and Ted Poston’s Best Explanations.Frank Cabrera - 2020 - International Journal for the Study of Skepticism 10 (2):1-10.
    I give a critical overview of the volume, focusing my attention on the chapters that deal with the explanationist response to skepticism.
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  9. Does IBE Require a ‘Model’ of Explanation?Frank Cabrera - 2017 - British Journal for the Philosophy of Science 71 (2):727-750.
    In this article, I consider an important challenge to the popular theory of scientific inference commonly known as ‘inference to the best explanation’, one that has received scant attention.1 1 The problem is that there exists a wide array of rival models of explanation, thus leaving IBE objectionably indeterminate. First, I briefly introduce IBE. Then, I motivate the problem and offer three potential solutions, the most plausible of which is to adopt a kind of pluralism about the rival models of (...)
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  10. Craig on the Resurrection: A Defense.Stephen T. Davis - 2020 - Socio-Historical Examination of Religion and Ministry 2 (1):28-35.
    This article is a rebuttal to Robert G. Cavin and Carlos A. Colombetti’s article, “Assessing the Resurrection Hypothesis: Problems with Craig’s Inference to the Best Explanation,” which argues that the Standard Model of current particle physics entails that non-physical things (like a supernatural God or a supernaturally resurrected body) can have no causal contact with the physical universe. As such, they argue that William Lane Craig’s resurrection hypothesis is not only incompatible with the notion of Jesus physically appearing to the (...)
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  11. Privileged-Perspective Realism in the Quantum Multiverse.Nora Berenstain - 2020 - In David Glick, George Darby & Anna Marmodoro (eds.), The Foundation of Reality: Fundamentality, Space, and Time. Oxford University Press.
    Privileged-perspective realism (PPR) is a version of metaphysical realism that takes certain irreducibly perspectival facts to be partly constitutive of reality. PPR asserts that there is a single metaphysically privileged standpoint from which these perspectival facts obtain. This chapter discusses several views that fall under the category of privileged-perspective realism. These include presentism, which is PPR about tensed facts, and non-multiverse interpretations of quantum mechanics, which the chapter argues, constitute PPR about world-indexed facts. Using the framework of the bird perspective (...)
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  12. Beyond the Instinct-Inference Dichotomy: A Unified Interpretation of Peirce's Theory of Abduction.Mousa Mohammadian - 2019 - Transactions of the Charles S. Peirce Society 55 (2):138-160.
    I examine and resolve an exegetical dichotomy between two main interpretations of Peirce’s theory of abduction, namely, the Generative Interpretation and the Pursuitworthiness Interpretation. According to the former, abduction is the instinctive process of generating explanatory hypotheses through a mental faculty called insight. According to the latter, abduction is a rule-governed procedure for determining the relative pursuitworthiness of available hypotheses and adopting the worthiest one for further investigation—such as empirical tests—based on economic considerations. It is shown that the Generative Interpretation (...)
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  13. Praktische Argumentationstheorie. Theoretische Grundlagen, praktische Begründung und Regeln wichtiger Argumentationsarten.Christoph Lumer - 1990 - Braunschweig, Germany: Vieweg.
    Das spezifische Ziel von Argumentationen ist nicht einfach, den Adressaten etwas glauben zu machen - dies wäre bloße Rhetorik ﷓, sondern: den Adressaten beim Erkennen der Akzeptabilität (insbesondere der Wahrheit) der These anzuleiten und ihn so zu begründetem Glauben, zu Erkenntnis zu führen. Argumentationen leiten das Erkennen an, indem sie in ihren Argumenten hinreichende Akzeptabilitätsbedingungen der These als erfüllt beurteilen und so den Adressaten implizit auffordern, diese Bedingungen zu überprüfen. Argumentationen sind gültig, wenn sie prinzipiell das Erkennen anleiten können; d. (...)
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  14. Abduction - The Context of Discovery + Underdetermination = Inference to the Best Explanation.Mousa Mohammadian - forthcoming - Synthese.
    The relationship between Peircean abduction and the modern notion of Inference to the Best Explanation (IBE) is a matter of dispute. Some philosophers such as Harman and Lipton claim that abduction and IBE are virtually the same. Others, however, hold that they are quite different (e.g., Hintikka and Minnameier) and there is no link between them (Campos). In this paper, I argue that neither of these views is correct. I show that abduction and IBE have important similarities as well as (...)
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  15. Inference to the Best Explanation and the Screening-Off Challenge.William Roche & Elliott Sober - 2019 - Teorema: International Journal of Philosophy 38:121-142.
    We argue in Roche and Sober (2013) that explanatoriness is evidentially irrelevant in that Pr(H | O&EXPL) = Pr(H | O), where H is a hypothesis, O is an observation, and EXPL is the proposition that if H and O were true, then H would explain O. This is a “screening-off” thesis. Here we clarify that thesis, reply to criticisms advanced by Lange (2017), consider alternative formulations of Inference to the Best Explanation, discuss a strengthened screening-off thesis, and consider how (...)
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  16. String Theory, Non-Empirical Theory Assessment, and the Context of Pursuit.Frank Cabrera - 2018 - Synthese:1-29.
    In this paper, I offer an analysis of the radical disagreement over the adequacy of string theory. The prominence of string theory despite its notorious lack of empirical support is sometimes explained as a troubling case of science gone awry, driven largely by sociological mechanisms such as groupthink (e.g. Smolin 2006). Others, such as Dawid (2013), explain the controversy by positing a methodological revolution of sorts, according to which string theorists have quietly turned to nonempirical methods of theory assessment given (...)
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  17. The Perils of Parsimony.William Roche - 2018 - Journal of Philosophy 115 (9):485-505.
    It is widely thought in philosophy and elsewhere that parsimony is a theoretical virtue in that if T1 is more parsimonious than T2, then T1 is preferable to T2, other things being equal. This thesis admits of many distinct precisifications. I focus on a relatively weak precisification on which preferability is a matter of probability, and argue that it is false. This is problematic for various alternative precisifications, and even for Inference to the Best Explanation as standardly understood.
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  18. The Heuristic Conception of Inference to the Best Explanation.Finnur Dellsén - 2018 - Philosophical Studies 175 (7):1745-1766.
    An influential suggestion about the relationship between Bayesianism and inference to the best explanation holds that IBE functions as a heuristic to approximate Bayesian reasoning. While this view promises to unify Bayesianism and IBE in a very attractive manner, important elements of the view have not yet been spelled out in detail. I present and argue for a heuristic conception of IBE on which IBE serves primarily to locate the most probable available explanatory hypothesis to serve as a working hypothesis (...)
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  19. On the Role of Explanatory and Systematic Power in Scientific Reasoning.Peter Brössel - 2015 - Synthese 192 (12):3877-3913.
    The paper investigates measures of explanatory power and how to define the inference schema “Inference to the Best Explanation”. It argues that these measures can also be used to quantify the systematic power of a hypothesis and the inference schema “Inference to the Best Systematization” is defined. It demonstrates that systematic power is a fruitful criterion for theory choice and IBS is truth-conducive. It also shows that even radical Bayesians must admit that systemic power is an integral component of Bayesian (...)
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  20. Enthymemes, Argumentation Schemes, and Topics.Fabrizio Macagno & Douglas Walton - 2009 - Logique Et Analyse 52 (205):39-56.
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  21. Empirical Equivalence, Explanatory Force, and the Inference to the Best Theory.Igor Douven - 2005 - Poznan Studies in the Philosophy of the Sciences and the Humanities 83 (1):281-309.
    In this paper I discuss the rule of inference proposed by Kuipers under the name of Inference to the Best Theory. In particular, I argue that the rule needs to be strengthened if it is to serve realist purposes. I further describe a method for testing, and perhaps eventually justifying, a suitably strengthened version of it.
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  22. Comprehensibility Rather Than Beauty.Nicholas Maxwell - 2001 - PhilSci Archive.
    Most scientists and philosophers of science recognize that, when it comes to accepting and rejecting theories in science, considerations that have to do with simplicity, unity, symmetry, elegance, beauty or explanatory power have an important role to play, in addition to empirical considerations. Until recently, however, no one has been able to give a satisfactory account of what simplicity (etc.) is, or how giving preference to simple theories is to be justified. But in the last few years, two different but (...)
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Inference to the Best Explanation, Misc
  1. On the Argument From Double Spaces: A Reply to Moti Mizrahi.Seungbae Park - 2021 - Social Epistemology Review and Reply Collective 10 (2):1-6.
    Van Fraassen infers the truth of the contextual theory from his observation that it has passed a crucial test. Mizrahi infers the comparative truth of our best theories from his observation that they are more successful than their competitors. Their inferences require, according to the argument from double spaces, the prior belief that it is more likely that their target theories were pulled out from the T-space than from the O-space. The T-space is the logical space of unconceived theories whose (...)
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  2. On the Pragmatic and Epistemic Virtues of Inference to the Best Explanation.Richard Pettigrew - manuscript
    In a series of papers over the past twenty years, and in a new book, Igor Douven has argued that Bayesians are too quick to reject versions of inference to the best explanation or abduction that cannot be accommodated within their framework. In this paper, I survey Douven’s worries and bring to bear a series of pragmatic and purely epistemic arguments to show that Bayes’ Rule really is the only correct way to respond to your evidence.
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  3. The Structure of Epistemic Probabilities.Nevin Climenhaga - 2020 - Philosophical Studies 177 (11):3213-3242.
    The epistemic probability of A given B is the degree to which B evidentially supports A, or makes A plausible. This paper is a first step in answering the question of what determines the values of epistemic probabilities. I break this question into two parts: the structural question and the substantive question. Just as an object’s weight is determined by its mass and gravitational acceleration, some probabilities are determined by other, more basic ones. The structural question asks what probabilities are (...)
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  4. The Material Theory of Induction and the Epistemology of Thought Experiments.Michael T. Stuart - 2020 - Studies in History and Philosophy of Science Part A 83:17-27.
    John D. Norton is responsible for a number of influential views in contemporary philosophy of science. This paper will discuss two of them. The material theory of induction claims that inductive arguments are ultimately justified by their material features, not their formal features. Thus, while a deductive argument can be valid irrespective of the content of the propositions that make up the argument, an inductive argument about, say, apples, will be justified (or not) depending on facts about apples. The argument (...)
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  5. Should Explanations Omit the Details?Darren Bradley - 2020 - British Journal for the Philosophy of Science 71 (3):827-853.
    There is a widely shared belief that the higher-level sciences can provide better explanations than lower-level sciences. But there is little agreement about exactly why this is so. It is often suggested that higher-level explanations are better because they omit details. I will argue instead that the preference for higher-level explanations is just a special case of our general preference for informative, logically strong, beliefs. I argue that our preference for informative beliefs entirely accounts for why higher-level explanations are sometimes (...)
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  6. Explanatory Consolidation: From 'Best' to 'Good Enough'.Finnur Dellsén - forthcoming - Philosophy and Phenomenological Research.
    In science and everyday life, we often infer that something is true because it would explain some set of facts better than any other hypothesis we can think of. But what if we have reason to believe that there is a better way to explain these facts that we just haven't thought of? Wouldn't that undermine our warrant for believing the best available explanation? Many philosophers have assumed that we can solve such underconsideration problems by stipulating that a hypothesis should (...)
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  7. Resolving the Raven Paradox: Simple Random Sampling, Stratified Random Sampling, and Inference to the Best Explanation (Penultimate Draft).Barry Ward - manuscript
    We object to standard, simple random sampling resolutions of the raven paradox on the grounds that they relevantly diverge from scientific practice. In response, we develop a stratified random sampling model. It provides a better fit and apparently rehabilitates simple random sampling resolutions as legitimate idealizations of that practice. However, neither simple nor stratified models fare well with a second concern, the objection from potential bias. In response, we develop a third model on which we systematically check kinds of ways (...)
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  8. Appearance and Explanation: A Defense of Phenomenal Explanationism (OUP, Under Contract).Kevin McCain & Luca Moretti - manuscript
    Phenomenal Conservatism (PC) is a promising, and popular, internalist theory of epistemic justification. Despite its popularity it faces numerous objections and challenges. In Seemings and Epistemic Justification (Springer, 2020), Moretti suggests that integrating PC with a theory of reflective/inferential justification would have the potential to shield PC from various challenges. Moretti also suggests that this sort of integration is worth exploring because it may allow PC to provide a more forceful response to skepticism and better account for ordinary cognitive practices. (...)
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  9. The Costs of HARKing.Mark Rubin - forthcoming - British Journal for the Philosophy of Science:000-000.
    Kerr coined the term ‘HARKing’ to refer to the practice of ‘hypothesizing after the results are known’. This questionable research practice has received increased attention in recent years because it is thought to have contributed to low replication rates in science. The present article discusses the concept of HARKing from a philosophical standpoint and then undertakes a critical review of Kerr’s twelve potential costs of HARKing. It is argued that these potential costs are either misconceived, misattributed to HARKing, lacking evidence, (...)
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  10. The Availability Heuristic and Inference to the Best Explanation.Michael J. Shaffer - 2019 - Logos and Episteme 10 (4):409-432.
    This paper shows how the availability heuristic can be used to justify inference to the best explanation in such a way that van Fraassen's infamous "best of a bad lot" objection can be adroitly avoided. With this end in mind, a dynamic and contextual version of the erotetic model of explanation sufficient to ground this response is presented and defended.
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  11. Unification and the Myth of Purely Reductive Understanding.Michael J. Shaffer - 2020 - Organon F: Medzinárodný Časopis Pre Analytickú Filozofiu 27:142-168.
    In this paper significant challenges are raised with respect to the view that explanation essentially involves unification. These objections are raised specifically with respect to the well-known versions of unificationism developed and defended by Michael Friedman and Philip Kitcher. The objections involve the explanatory regress argument and the concepts of reduction and scientific understanding. Essentially, the contention made here is that these versions of unificationism wrongly assume that reduction secures understanding.
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  12. Mathematics and Explanatory Generality: Nothing but Cognitive Salience.Juha Saatsi & Robert Knowles - forthcoming - Erkenntnis:1-19.
    We demonstrate how real progress can be made in the debate surrounding the enhanced indispensability argument. Drawing on a counterfactual theory of explanation, well-motivated independently of the debate, we provide a novel analysis of ‘explanatory generality’ and how mathematics is involved in its procurement. On our analysis, mathematics’ sole explanatory contribution to the procurement of explanatory generality is to make counterfactual information about physical dependencies easier to grasp and reason with for creatures like us. This gives precise content to key (...)
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  13. Системный подход, экзистенциальная депрессия и структурированная галлюцинация – есть ли связь?Vitalii Shymko - 2018 - Pro|Stranstvo.
    Публикация (#2) из научно-популярного цикла: "Структурная онтология познания с доктором Шимко".
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  14. On Probability and Cosmology: Inference Beyond Data?Martin Sahlen - 2017 - In K. Chamcham, J. Silk, J. D. Barrow & S. Saunders (eds.), The Philosophy of Cosmology. Cambridge, UK:
    Modern scientific cosmology pushes the boundaries of knowledge and the knowable. This is prompting questions on the nature of scientific knowledge. A central issue is what defines a 'good' model. When addressing global properties of the Universe or its initial state this becomes a particularly pressing issue. How to assess the probability of the Universe as a whole is empirically ambiguous, since we can examine only part of a single realisation of the system under investigation: at some point, data will (...)
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  15. Conjunctive Explanations and Inference to the Best Explanation.Jonah Schupbach - 2019 - Teorema: International Journal of Philosophy 38 (3):143-162.
    Inference to the Best Explanation (IBE) advises reasoners to infer exactly one explanation. This uniqueness claim apparently binds us when it comes to “conjunctive explanations,” distinct explanations that are nonetheless explanatorily better together than apart. To confront this worry, explanationists qualify their statement of IBE, stipulating that this inference form only adjudicates between competing hypotheses. However, a closer look into the nature of competition reveals problems for this qualified account. Given the most common explication of competition, this qualification artificially and (...)
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  16. Metaphysical Explanation and the Inference to the Best Explanation (BA Thesis).Daniel Coimbra - manuscript
    Inference to the Best Explanation, roughly put, appeals to the explanatory power of a theory or hypothesis (relative to some data set) as constituting epistemic justification for it. Inference to the Best Explanation (henceforth IBE) is a tool widely employed among all reasoners alike, from the empirical sciences to ordinary life. Philosophical discussions do not differ in the usualness of explanatory appeals of this kind during serious argument. Often enough, the appeal is dialectically blocked, as many of our epistemic peers (...)
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  17. Why Scientific Knowledge Is Still the Best.Moti Mizrahi - 2018 - Social Epistemology Review and Reply Collective 7 (9):18-32.
    In his latest attack, even though he claims to be a practitioner of “close reading” (Wills 2018b, 34), it appears that Wills still has not bothered to read the paper in which I defend the thesis he seeks to attack (Mizrahi 2017a), or any of the papers in my exchange with Brown (Mizrahi 2017b; 2018a), as evidenced by the fact that he does not cite them at all. This explains why Wills completely misunderstands Weak Scientism and the arguments for the (...)
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  18. Weak Scientism Defended Once More: A Reply to Wills.Moti Mizrahi - 2018 - Social Epistemology Review and Reply Collective 7 (6):41-50.
    Bernard Wills (2018) joins Christopher Brown (2017, 2018) in criticizing my defense of Weak Scientism (Mizrahi 2017a, 2017b, 2018a). Unfortunately, it seems that Wills did not read my latest defense of Weak Scientism carefully, nor does he cite any of the other papers in my exchange with Brown.
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  19. More in Defense of Weak Scientism.Moti Mizrahi - 2018 - Social Epistemology Review and Reply Collective 7 (4):7-25.
    In my (2017a), I defend a view I call Weak Scientism, which is the view that knowledge produced by scientific disciplines is better than knowledge produced by non-scientific disciplines. Scientific knowledge can be said to be quantitatively better than non-scientific knowledge insofar as scientific disciplines produce more impactful knowledge–in the form of scholarly publications–than non-scientific disciplines (as measured by research output and research impact). Scientific knowledge can be said to be qualitatively better than non-scientific knowledge insofar as such knowledge is (...)
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  20. Expertise and Conspiracy Theories.M. R. X. Dentith - 2018 - Social Epistemology 32 (3):196-208.
    Judging the warrant of conspiracy theories can be difficult, and often we rely upon what the experts tell us when it comes to assessing whether particular conspiracy theories ought to be believed. However, whereas there are recognised experts in the sciences, I argue that only are is no such associated expertise when it comes to the things we call `conspiracy theories,' but that the conspiracy theorist has good reason to be suspicious of the role of expert endorsements when it comes (...)
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  21. Beyond Falsifiability: Normal Science in a Multiverse.Sean M. Carroll - forthcoming - In Richard Dawid, Radin Dardashti & Karim Thebault (eds.), Epistemology of Fundamental Physics: Why Trust a Theory? Cambridge, UK: Cambridge University Press.
    Cosmological models that invoke a multiverse - a collection of unobservable regions of space where conditions are very different from the region around us - are controversial, on the grounds that unobservable phenomena shouldn't play a crucial role in legitimate scientific theories. I argue that the way we evaluate multiverse models is precisely the same as the way we evaluate any other models, on the basis of abduction, Bayesian inference, and empirical success. There is no scientifically respectable way to do (...)
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  22. Trout, J. D. , Wondrous Truths: The Improbable Triumph of Modern Science, New York: Oxford University Press, 264pp, ISBN 978-0199385072. [REVIEW]Nicholas Maxwell - 2017 - Acta Baltica Historiae Et Philosophiae Scientiarum 5 (2):108-115.
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  23. Is Explanatoriness a Guide to Confirmation? A Reply to Climenhaga.William Roche & Elliott Sober - 2017 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 48 (4):581-590.
    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 (...)
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  24. In Defense of Weak Scientism: A Reply to Brown.Moti Mizrahi - 2017 - Social Epistemology Review and Reply Collective 6 (2):9-22.
    In “What’s So Bad about Scientism?” (Mizrahi 2017), I argue that Weak Scientism, the view that “Of all the knowledge we have, scientific knowledge is the best knowledge” (Mizrahi 2017, 354; emphasis in original) is a defensible position. That is to say, Weak Scientism “can be successfully defended against objections” (Mizrahi 2017, 354). In his response to Mizrahi (2017), Christopher Brown (2017) provides more objections against Weak Scientism, and thus another opportunity for me to show that Weak Scientism is a (...)
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  25. Presume It Not: True Causes in the Search for the Basis of Heredity.Aaron Novick & Raphael Scholl - 2017 - British Journal for the Philosophy of Science (1):axy001.
    Kyle Stanford has recently given substance to the problem of unconceived alternatives, which challenges the reliability of inference to the best explanation (IBE) in remote domains of nature. Conjoined with the view that IBE is the central inferential tool at our disposal in investigating these domains, the problem of unconceived alternatives leads to scientific anti-realism. We argue that, at least within the biological community, scientists are now and have long been aware of the dangers of IBE. We re-analyze the nineteenth-century (...)
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  26. Inference to the Best Explanation Made Incoherent.Nevin Climenhaga - 2017 - Journal of Philosophy 114 (5):251-273.
    Defenders of Inference to the Best Explanation claim that explanatory factors should play an important role in empirical inference. They disagree, however, about how exactly to formulate this role. In particular, they disagree about whether to formulate IBE as an inference rule for full beliefs or for degrees of belief, as well as how a rule for degrees of belief should relate to Bayesianism. In this essay I advance a new argument against non-Bayesian versions of IBE. My argument focuses on (...)
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  27. Explanation, Confirmation, and Hempel's Paradox.William Roche - 2017 - In Kevin McCain & Ted Poston (eds.), Best explanations: New essays on inference to the best explanation. Oxford: Oxford University Press. pp. 219-241.
    Hempel’s Converse Consequence Condition (CCC), Entailment Condition (EC), and Special Consequence Condition (SCC) have some prima facie plausibility when taken individually. Hempel, though, shows that they have no plausibility when taken together, for together they entail that E confirms H for any propositions E and H. This is “Hempel’s paradox”. It turns out that Hempel’s argument would fail if one or more of CCC, EC, and SCC were modified in terms of explanation. This opens up the possibility that Hempel’s paradox (...)
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  28. What’s so Bad About Scientism?Moti Mizrahi - 2017 - Social Epistemology 31 (4):351-367.
    In their attempt to defend philosophy from accusations of uselessness made by prominent scientists, such as Stephen Hawking, some philosophers respond with the charge of ‘scientism.’ This charge makes endorsing a scientistic stance, a mistake by definition. For this reason, it begs the question against these critics of philosophy, or anyone who is inclined to endorse a scientistic stance, and turns the scientism debate into a verbal dispute. In this paper, I propose a different definition of scientism, and thus a (...)
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