Evidence and Elimination: A Bayesian Interpretation of Falsification in Scientific Practice
Tommaso Costa

TL;DR
This paper reinterprets falsification as a Bayesian model elimination process, providing a quantitative framework that clarifies theory testing, auxiliary hypotheses, and ad hoc modifications through classical celestial mechanics examples.
Contribution
It develops a unified Bayesian account of falsification, integrating Popper's eliminative view with model comparison, and addresses longstanding philosophical issues in scientific theory testing.
Findings
Bayesian model comparison aligns with Popper's falsification criteria.
Auxiliary hypotheses can increase or decrease a theory's credibility.
The approach explains the success of general relativity over Newtonian gravity in Mercury's precession.
Abstract
The classical conception of falsification presents scientific theories as entities that are decisively refuted when their predictions fail. This picture has long been challenged by both philosophical analysis and scientific practice, yet the relationship between Popper's eliminative view of theory testing and Bayesian model comparison remains insufficiently articulated. This paper develops a unified account in which falsification is reinterpreted as a Bayesian process of model elimination. A theory is not rejected because it contradicts an observation in a logical sense; it is eliminated because it assigns vanishing integrated probability to the data in comparison with an alternative model. This reinterpretation resolves the difficulties raised by the Duhem-Quine thesis, clarifies the status of auxiliary hypotheses, and explains why ad hoc modifications reduce rather than increase…
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Taxonomy
TopicsPhilosophy and History of Science · Space Science and Extraterrestrial Life · Quantum Mechanics and Applications
