title: What should a forensic practitioner's likelihood ratio be?
abstract: We argue that forensic practitioners should empirically assess and report the precision of their likelihood ratios. Once the practitioner has specified the prosecution and defence hypotheses they have adopted, including the relevant population they have adopted, and has specified the type of measurements they will make, their task is to empirically calculate an estimate of a likelihood ratio which has a true but unknown value. We explicitly reject the competing philosophical position that the forensic practitioner's likelihood ratio should be based on subjective personal probabilities. Estimates of true but unknown values are based on samples and are subject to sampling uncertainty, and it is standard practice to report the degree of precision of such estimates. We discuss the dangers of not reporting precision to the courts, and the problems with an alternative approach which instead reports a verbal expression corresponding to a pre-specified range of likelihood ratio values. Reporting precision as an interval requires an arbitrary choice of coverage, e.g., a 95% or a 99% credible interval. We outline a normative framework which a trier of fact could employ to make non-arbitrary use of the results of forensic practitioners' empirical calculations of likelihood ratios and their precision.
authors.affiliation: Morrison & Enzinger, Independent Forensic Consultants, Vancouver, British Columbia, Canada & Corvallis, Oregon, USA; Department of Linguistics, University of Alberta, Edmonton, Alberta, Canada. Electronic address: geoff-morrison@forensic-evaluation.net.
authors.forename: Geoffrey Stewart
authors.initials: GS
authors.lastname: Morrison
authors.affiliation: Morrison & Enzinger, Independent Forensic Consultants, Vancouver, British Columbia, Canada & Corvallis, Oregon, USA.
authors.forename: Ewald
authors.initials: E
authors.lastname: Enzinger
mesh_terms: D044707:Forensic Sciences; D006801:Humans; D016013:Likelihood Functions; D009626:Terminology as Topic
keywords: Likelihood ratio; Precision; Reliability; Verbal scale