Perceptions and estimates of error rates in forensic science: A survey of forensic analysts.


Journal

Forensic science international
ISSN: 1872-6283
Titre abrégé: Forensic Sci Int
Pays: Ireland
ID NLM: 7902034

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 19 02 2019
revised: 04 07 2019
accepted: 20 07 2019
pubmed: 14 8 2019
medline: 26 12 2019
entrez: 13 8 2019
Statut: ppublish

Résumé

Every scientific technique features some error, and legal standards for the admissibility of scientific evidence (e.g., Daubert v. Merrill Dow Pharmaceuticals, Inc., 1993; Kumho Tire Co v. Carmichael, 1999) guide trial courts to consider known error rates. However, recent reviews of forensic science conclude that error rates for some common techniques are not well-documented or even established (e.g., NAS, 2009; PCAST, 2016). Furthermore, many forensic analysts have historically denied the presence of error in their field. Therefore, it is important to establish what forensic scientists actually know or believe about errors rates in their disciplines. We surveyed 183 practicing forensic analysts to examine what they think and estimate about error rates in their various disciplines. Results revealed that analysts perceive all types of errors to be rare, with false positive errors even more rare than false negatives. Likewise, analysts typically reported that they prefer to minimize the risk of false positives over false negatives. Most analysts could not specify where error rates for their discipline were documented or published. Their estimates of error in their fields were widely divergent - with some estimates unrealistically low.

Identifiants

pubmed: 31404811
pii: S0379-0738(19)30300-7
doi: 10.1016/j.forsciint.2019.109887
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109887

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Daniel C Murrie (DC)

Institute of Law, Psychiatry, and Public Policy, University of Virginia, United States. Electronic address: Murrie@virginia.edu.

Brett O Gardner (BO)

Institute of Law, Psychiatry, and Public Policy, University of Virginia, United States.

Sharon Kelley (S)

Institute of Law, Psychiatry, and Public Policy, University of Virginia, United States.

Itiel E Dror (IE)

Center for the Forensic Sciences, University College London, United Kingdom.

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Classifications MeSH