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A comment on the PCAST report: skip the “match”/“non-match” stage

  • Geoffrey Stewart Morrison*
  • , David H. Kaye
  • , David J. Balding
  • , Duncan Taylor
  • , Philip Dawid
  • , Colin G.G. Aitken
  • , Simone Gittelson
  • , Grzegorz Zadora
  • , Bernard Robertson
  • , Sheila Willis
  • , Susan Pope
  • , Martin Neil
  • , Kristy A. Martire
  • , Amanda Hepler
  • , Richard D. Gill
  • , Allan Jamieson
  • , Jacob de Zoete
  • , R. Brent Ostrum
  • , Amke Caliebe
  • *Corresponding author for this work
  • Independent Forensic Consultant
  • University of Alberta
  • Isaac Newton Institute for Mathematical Sciences
  • Arizona State University
  • University of Melbourne
  • Flinders University of South Australia
  • University of Cambridge
  • National Institute of Standards and Technology
  • Uniwersytet Śląski w Katowicach
  • Forensic Science Ireland
  • DNA Principal Forensics Ltd.
  • Queen Mary University of London
  • University of New South Wales, Australia
  • Universiteit Leiden
  • The Forensic Institute
  • Universiteit van Amsterdam
  • Canada Border Services Agency
  • Christian-Albrechts-Universität zu Kiel
  • Innovative Decisions, Inc.
  • Forensic Science South Australia
  • University of Edinburgh
  • Institute of Forensic Research
  • Pennsylvania State University

Research output: Contribution to journalLetter, comment/opinion or interviewpeer-review

78 Downloads (Pure)

Abstract

This letter comments on the report “Forensic science in criminal courts: Ensuring scientific validity of feature-comparison methods” recently released by the President's Council of Advisors on Science and Technology (PCAST). The report advocates a procedure for evaluation of forensic evidence that is a two-stage procedure in which the first stage is “match”/“non-match” and the second stage is empirical assessment of sensitivity (correct acceptance) and false alarm (false acceptance) rates. Almost always, quantitative data from feature-comparison methods are continuously-valued and have within-source variability. We explain why a two-stage procedure is not appropriate for this type of data, and recommend use of statistical procedures which are appropriate.

Original languageEnglish
Pages (from-to)e7-e9
Number of pages3
JournalForensic Science International
Volume272
Early online date26 Oct 2016
DOIs
Publication statusPublished - 1 Mar 2017

Bibliographical note

© 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Keywords

  • false alarm
  • forensic statistics
  • likelihood ratio
  • match/non-match
  • PCAST report
  • sensitivity to pressure and temperature

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