Perpetrator knowledge: a Bayesian account

Hylke Jellema*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Perpetrator knowledge (also known as “guilty knowledge,” “insider knowledge,” “crime knowledge,” or “first-hand knowledge”) is an important, but undertheorized type of criminal evidence. This article clarifies this concept in several ways. First, it offers a precise, probabilistic definition of what perpetrator knowledge is. Second, the article provides a taxonomy of arguments relating to perpetrator knowledge. This classification is based on an analysis of 438 Dutch criminal cases in which this concept was mentioned. Third, it models these arguments using Bayesian networks. Fourth, the article explains a potential reasoning error relating to perpetrator knowledge, namely the fallacy of appeal to probability.

Original languageEnglish
Article numbermgae009
Number of pages21
JournalLaw, Probability and Risk
Volume23
Issue number1
DOIs
Publication statusPublished - Sept 2024

Keywords

  • Bayesian networks
  • Bayesianism
  • criminal proof
  • evidence
  • perpetrator knowledge

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