{"title":"Competing explanations in Bayesian networks — The small town murder problem revisited","authors":"Arvid Sjölander , Gustav Lindkvist","doi":"10.1016/j.scijus.2025.101337","DOIUrl":null,"url":null,"abstract":"<div><div>The use of probability theory and statistical reasoning in legal contexts is controversial, with several well-known thought experiments highlighting perceived paradoxes. One example is the small town murder problem, recently discussed by de Zoete et al., who argued that the perceived paradoxes arise from a failure to properly distinguish between hypotheses and evidence, and can be resolved using Bayesian networks. While we agree with their general conclusions, we contend that their analysis of the small town murder problem overlooks a central issue and underutilizes the full potential of Bayesian modeling. In this note, we propose an alternative analysis of the problem, drawing on well-known results on conditioning on a common effect of two factors.</div></div>","PeriodicalId":49565,"journal":{"name":"Science & Justice","volume":"65 6","pages":"Article 101337"},"PeriodicalIF":2.0000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science & Justice","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1355030625001212","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, LEGAL","Score":null,"Total":0}
引用次数: 0
Abstract
The use of probability theory and statistical reasoning in legal contexts is controversial, with several well-known thought experiments highlighting perceived paradoxes. One example is the small town murder problem, recently discussed by de Zoete et al., who argued that the perceived paradoxes arise from a failure to properly distinguish between hypotheses and evidence, and can be resolved using Bayesian networks. While we agree with their general conclusions, we contend that their analysis of the small town murder problem overlooks a central issue and underutilizes the full potential of Bayesian modeling. In this note, we propose an alternative analysis of the problem, drawing on well-known results on conditioning on a common effect of two factors.
期刊介绍:
Science & Justice provides a forum to promote communication and publication of original articles, reviews and correspondence on subjects that spark debates within the Forensic Science Community and the criminal justice sector. The journal provides a medium whereby all aspects of applying science to legal proceedings can be debated and progressed. Science & Justice is published six times a year, and will be of interest primarily to practising forensic scientists and their colleagues in related fields. It is chiefly concerned with the publication of formal scientific papers, in keeping with its international learned status, but will not accept any article describing experimentation on animals which does not meet strict ethical standards.
Promote communication and informed debate within the Forensic Science Community and the criminal justice sector.
To promote the publication of learned and original research findings from all areas of the forensic sciences and by so doing to advance the profession.
To promote the publication of case based material by way of case reviews.
To promote the publication of conference proceedings which are of interest to the forensic science community.
To provide a medium whereby all aspects of applying science to legal proceedings can be debated and progressed.
To appeal to all those with an interest in the forensic sciences.