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  1. Methodological Naturalism and Scientific Success.Yunus Adi Prasetya - 2021 - European Journal for Philosophy of Religion 14 (1):231-256.
    Several metaphysical naturalists argue that the success of science, together with the claim that scientists adhere to methodological naturalism, amounts to strong evidence for metaphysical naturalism. I call this the scientific-success argument. It is argued that the scientific-success argument is similar to the no-miracles argument for realism in philosophy of science. On the no-miracles argument, the success of science is taken as strong evidence that scientific theories are true. Based on this similarity, some considerations relevant to one argument may also (...)
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  • Tinbergen’s four questions and the debate between scientific realism and selectionism.Kok Yong Lee - 2021 - Synthese 199 (5-6):12643-12661.
    According to the no-miracle argument, scientific realism is the only view that does not render the predictive success of scientific theories miraculous. Against the no-miracle argument, selectionists argue that the predictive success of scientific theories is a product of them being subject to a selection process that weeds out predictively unsuccessful theories. Against selectionism, I argue that the selectionist explanation is not an alternative to the realist one. More precisely, I draw on a standard framework in behavioral biology, known as (...)
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  • Reconstructing Scientific Realism to Rebut the Pessimistic Meta‐induction.Gerald Doppelt - 2007 - Philosophy of Science 74 (1):96-118.
    This paper develops a stronger version of ‘inference-to-the-best explanation’ scientific realism. I argue against three standard assumptions of current realists: realism is confirmed if it provides the best explanation of theories’ predictive success ; the realist claim that successful theories are always approximately true provides the best explanation of their success ; and realists are committed to giving the same sort of truth-based explanation of superseded theories’ success that they give to explain our best current theories’ success. On the positive (...)
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  • The No Miracles Argument without the Base Rate Fallacy.Richard Dawid & Stephan Hartmann - 2016 - Synthese 195 (9):4063-4079.
    According to an argument by Colin Howson, the no-miracles argument is contingent on committing the base-rate fallacy and is therefore bound to fail. We demonstrate that Howson’s argument only applies to one of two versions of the NMA. The other version, which resembles the form in which the argument was initially presented by Putnam and Boyd, remains unaffected by his line of reasoning. We provide a formal reconstruction of that version of the NMA and show that it is valid. Finally, (...)
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  • The Coincidentalist Reply to the No-Miracles Argument.Kenneth Boyce - 2018 - Erkenntnis 83 (5):929-946.
    Proponents of the no-miracles argument contend that scientific realism is “the only philosophy that doesn’t make the success of science a miracle.” Bas van Fraassen argued, however, that the success of our best theories can be explained in Darwinian terms—by the fact they are survivors of a winnowing process in which unsuccessful theories are rejected. Critics of this selectionist explanation complain that while it may account for the fact we have chosen successful theories, it does not explain why any particular (...)
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  • Realism and the limits of explanatory reasoning.Juha Saatsi - 2018 - In The Routledge Handbook of Scientific Realism. London: Routledge. pp. 200-211.
    This chapter examines issues surrounding inference to the best explanation, its justification, and its role in different arguments for scientific realism, as well as more general issues concerning explanations’ ontological commitments. Defending the reliability of inference to the best explanation has been a central plank in various realist arguments, and realists have drawn various ontological conclusions from the premise that a given scientific explanation best explains some phenomenon. This chapter stresses the importance of thinking carefully about the nature of explanation (...)
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