Erich Kummerfeld
Carnegie Mellon University
Rebecca Morris
Independent Scholar
Alan Love
University of Minnesota
Current fears of a “reproducibility crisis” have led researchers, sources of scientific funding, and the public to question both the efficacy and trustworthiness of science. Suggested policy changes have been focused on statistical problems, such as p-hacking, and issues of experimental design and execution. However, “reproducibility” is a broad concept that includes a number of issues. Furthermore, reproducibility failures occur even in fields such as mathematics or computer science that do not have statistical problems or issues with experimental design. Most importantly, these proposed policy changes ignore a core feature of the process of scientific inquiry that occurs after reproducibility failures: the integration of conflicting observations and ideas into a coherent theory.
Keywords Reproducibility  History of mathematics
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References found in this work BETA

The Structure of Scientific Revolutions.Thomas S. Kuhn - 1962 - University of Chicago Press.
Ignorance: How It Drives Science.Stuart Firestein - 2012 - Oxford University Press.

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Citations of this work BETA

The limits of replicability.Stephan Guttinger - 2020 - European Journal for Philosophy of Science 10 (2):1-17.
Replicability Crisis and Scientific Reforms: Overlooked Issues and Unmet Challenges.Mattia Andreoletti - 2021 - International Studies in the Philosophy of Science 33 (3):135-151.
Should We Strive to Make Science Bias-Free? A Philosophical Assessment of the Reproducibility Crisis.Robert Hudson - 2021 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 52 (3):389-405.

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