The Epistemic Value of Novel Predictive Success in Scientific and Criminal Investigations: A Bayesian Explanation
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866912194131656704 |
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| author | Mortera, Julia Thompson, William C. |
| author_facet | Mortera, Julia Thompson, William C. |
| contents | Because there are similarities between the evaluation of alternative stories in criminal trials and the evaluation of scientific theories, scholars have looked to literature in epistemology and the philosophy of science for insights on the evaluation of evidence in criminal trials. The philosophical literature is divided, however, on a key point -- the epistemic value of novel predictive success. This article uses a Bayesian network analysis to explore, in the context of a criminal case, the circumstances in which "new evidence" discovered after a theory is propounded, can provide stronger (or weaker) support for the theory than "old evidence" that was accommodated by the theory. It argues that insights from analysis of the strength of "new" and "old" evidence in the criminal case can be applied more generally when assessing the relative merits of prediction and accommodation in scientific theory development, and are thus helpful in addressing the longstanding philosophic controversy over this issue. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2501_11104 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Epistemic Value of Novel Predictive Success in Scientific and Criminal Investigations: A Bayesian Explanation Mortera, Julia Thompson, William C. Applications 62 Because there are similarities between the evaluation of alternative stories in criminal trials and the evaluation of scientific theories, scholars have looked to literature in epistemology and the philosophy of science for insights on the evaluation of evidence in criminal trials. The philosophical literature is divided, however, on a key point -- the epistemic value of novel predictive success. This article uses a Bayesian network analysis to explore, in the context of a criminal case, the circumstances in which "new evidence" discovered after a theory is propounded, can provide stronger (or weaker) support for the theory than "old evidence" that was accommodated by the theory. It argues that insights from analysis of the strength of "new" and "old" evidence in the criminal case can be applied more generally when assessing the relative merits of prediction and accommodation in scientific theory development, and are thus helpful in addressing the longstanding philosophic controversy over this issue. |
| title | The Epistemic Value of Novel Predictive Success in Scientific and Criminal Investigations: A Bayesian Explanation |
| topic | Applications 62 |
| url | https://arxiv.org/abs/2501.11104 |