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  1. Why Experimental Balance Is Still a Reason to Randomize.Marco Martinez & David Teira - forthcoming - British Journal for the Philosophy of Science.
    Experimental balance is usually understood as the control for the value of the conditions, other than the one under study, which are liable to affect the result of a test. We discuss three different approaches to balance. ‘Millean balance’ requires identifying and equalizing ex ante the value of these conditions in order to conduct solid causal inferences. ‘Fisherian balance’ measures ex post the influence of uncontrolled conditions through the analysis of variance. In ‘efficiency balance’ the value of the antecedent conditions (...)
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  • The Higgs discovery as a diagnostic causal inference.Adrian Wüthrich - 2017 - Synthese 194 (2).
    I reconstruct the discovery of the Higgs boson by the ATLAS collaboration at CERN as the application of a series of inferences from effects to causes. I show to what extent such diagnostic causal inferences can be based on well established knowledge gained in previous experiments. To this extent, causal reasoning can be used to infer the existence of entities, rather than just causal relationships between them. The resulting account relies on the principle of causality, attributes only a heuristic role (...)
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  • Unwarranted assumptions: Claude Bernard and the growth of the vera causa standard.Raphael Scholl - 2020 - Studies in History and Philosophy of Science Part A 82 (C):120-130.
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  • Historical Case Studies: The “Model Organisms” of Philosophy of Science.Samuel Schindler & Raphael Scholl - 2020 - Erkenntnis 87 (2):933-952.
    Philosophers use historical case studies to support wide-ranging claims about science. This practice is often criticized as problematic. In this paper we suggest that the function of case studies can be understood and justified by analogy to a well-established practice in biology: the investigation of model organisms. We argue that inferences based on case studies are no more problematic than inferences from model organisms to larger classes of organisms in biology. We demonstrate our view in detail by reference to a (...)
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  • 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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