Literature DB >> 31404811

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

Daniel C Murrie1, Brett O Gardner2, Sharon Kelley2, Itiel E Dror3.   

Abstract

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

Keywords:  Bias; Cognitive and human factors; Error rates; Expert judgment; Forensic decision making; Forensic science

Mesh:

Year:  2019        PMID: 31404811     DOI: 10.1016/j.forsciint.2019.109887

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  6 in total

1.  (Mis)use of scientific measurements in forensic science.

Authors:  Itiel E Dror; Nicholas Scurich
Journal:  Forensic Sci Int       Date:  2020-09-06       Impact factor: 2.395

2.  Letter to Editor.

Authors:  Hans Ditrich
Journal:  Forensic Sci Int Synerg       Date:  2021-11-27

3.  Gas Chromatographic Fingerprint Analysis for the Comparison of Seized Cannabis Samples.

Authors:  Amorn Slosse; Filip Van Durme; Nele Samyn; Debby Mangelings; Yvan Vander Heyden
Journal:  Molecules       Date:  2021-11-02       Impact factor: 4.411

4.  Surveying practicing firearm examiners.

Authors:  Nicholas Scurich; Brandon L Garrett; Robert M Thompson
Journal:  Forensic Sci Int Synerg       Date:  2022-04-20

5.  Evaluation of non-invasive bioforensic techniques for determining the age of hot-iron brand burn scars in cattle.

Authors:  Douglas R Tolleson; David W Schafer
Journal:  Transl Anim Sci       Date:  2021-06-15

6.  Assessing the reliability of a clothing-based forensic identification.

Authors:  Sophie J Nightingale; Hany Farid
Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-24       Impact factor: 11.205

  6 in total

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