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  1. Imaging Technology and the Philosophy of Causality.Jon Williamson - 2011 - Philosophy and Technology 24 (2):115-136.
    Russo and Williamson (Int Stud Philos Sci 21(2):157–170, 2007) put forward the thesis that, at least in the health sciences, to establish the claim that C is a cause of E, one normally needs evidence of an underlying mechanism linking C and E as well as evidence that C makes a difference to E. This epistemological thesis poses a problem for most current analyses of causality which, in virtue of analysing causality in terms of just one of mechanisms or difference (...)
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  • Establishing Causal Claims in Medicine.Jon Williamson - 2019 - International Studies in the Philosophy of Science 32 (1):33-61.
    Russo and Williamson put forward the following thesis: in order to establish a causal claim in medicine, one normally needs to establish both that the putative cause and putative effect are appropriately correlated and that there is some underlying mechanism that can account for this correlation. I argue that, although the Russo-Williamson thesis conflicts with the tenets of present-day evidence-based medicine, it offers a better causal epistemology than that provided by present-day EBM because it better explains two key aspects of (...)
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  • Reply to Daniel steel's "with or without mechanisms".Erik Weber - 2008 - Philosophy of the Social Sciences 38 (2):267-270.
    In this discussion note I clarify the motivation behind my original paper "Social Mechanisms, Causal Inference and the Policy Relevance of Social Science." I argue that one of the tasks of philosophers of social science is to draw attention to methodological problems that are often forgotten or overlooked. Then I show that my original paper does not make the mistake or fallacy that Daniel Steel suggests in his comment on it. Key Words: social mechanisms • causal inference • social policy.
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  • How Probabilistic Causation Can Account for the Use of Mechanistic Evidence.Erik Weber - 2009 - International Studies in the Philosophy of Science 23 (3):277-295.
    In a recent article in this journal, Federica Russo and Jon Williamson argue that an analysis of causality in terms of probabilistic relationships does not do justice to the use of mechanistic evidence to support causal claims. I will present Ronald Giere's theory of probabilistic causation, and show that it can account for the use of mechanistic evidence (both in the health sciences—on which Russo and Williamson focus—and elsewhere). I also review some other probabilistic theories of causation (of Suppes, Eells, (...)
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  • Causal methodology. A comment on Nancy Cartwright's hunting causes and using them. [REVIEW]Erik Weber - 2010 - Analysis 70 (2):318-325.
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  • With or Without Mechanisms: A Reply to Weber.Daniel Steel - 2007 - Philosophy of the Social Sciences 37 (3):360-365.
    This reply to Erik Weber's commentary agrees that mechanisms are important for causal inference in social science, but argues that Weber makes the mistake that was the main focus of my original essay: inferring that since a problem cannot be solved without mechanisms, it can be solved with them. As it stands, this inference is invalid since the problem might be unsolvable with or without mechanisms. Any claim about the usefulness of mechanisms for some purpose requires an adequate account of (...)
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  • Explanation, understanding, and unrealistic models.Frank Hindriks - 2013 - Studies in History and Philosophy of Science Part A 44 (3):523-531.