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  1. No Hope for Conciliationism.Jonathan Dixon - 2024 - Synthese 203 (148):1-30.
    Conciliationism is the family of views that rationality requires agents to reduce confidence or suspend belief in p when acknowledged epistemic peers (i.e. agents who are (approximately) equally well-informed and intellectually capable) disagree about p. While Conciliationism is prima facie plausible, some have argued that Conciliationism is not an adequate theory of peer disagreement because it is self-undermining. Responses to this challenge can be put into two mutually exclusive and exhaustive groups: the Solution Responses which deny Conciliationism is self-undermining and (...)
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  • Inconvenient Truth and Inductive Risk in Covid-19 Science.Eli I. Lichtenstein - 2022 - Philosophy of Medicine 3 (1):1-25.
    To clarify the proper role of values in science, focusing on controversial expert responses to Covid-19, this article examines the status of (in)convenient hypotheses. Polarizing cases like health experts downplaying mask efficacy to save resources for healthcare workers, or scientists dismissing “accidental lab leak” hypotheses in view of potential xenophobia, plausibly involve modifying evidential standards for (in)convenient claims. Societies could accept that scientists handle (in)convenient claims just like nonscientists, and give experts less political power. Or societies could hold scientists to (...)
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  • The Belief Norm of Academic Publishing.Wesley Buckwalter - 2022 - Ergo: An Open Access Journal of Philosophy 9.
    The belief norm of academic publishing states that researchers should believe certain claims they publish. The purpose of this paper is to defend the belief norm of academic publishing. In its defense, the advantages and disadvantages of the belief norm are evaluated for academic research and for the publication system. It is concluded that while the norm does not come without costs, academic research systemically benefits from the belief norm and that it should be counted among those that sustain the (...)
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  • Diagnosing errors in climate model intercomparisons.Ryan O’Loughlin - 2023 - European Journal for Philosophy of Science 13 (2):1-29.
    I examine error diagnosis (model-model disagreement) in climate model intercomparisons including its difficulties, fruitful examples, and prospects for streamlining error diagnosis. I suggest that features of climate model intercomparisons pose a more significant challenge for error diagnosis than do features of individual model construction and complexity. Such features of intercomparisons include, e.g., the number of models involved, how models from different institutions interrelate, and what scientists know about each model. By considering numerous examples in the climate modeling literature, I distill (...)
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  • Calibrating statistical tools: Improving the measure of Humanity's influence on the climate.Corey Dethier - 2022 - Studies in History and Philosophy of Science Part A 94 (C):158-166.
    Over the last twenty-five years, climate scientists working on the attribution of climate change to humans have developed increasingly sophisticated statistical models in a process that can be understood as a kind of calibration: the gradual changes to the statistical models employed in attribution studies served as iterative revisions to a measurement(-like) procedure motivated primarily by the aim of neutralizing particularly troublesome sources of error or uncertainty. This practice is in keeping with recent work on the evaluation of models more (...)
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