An Update on a World Wide Study of Bullets Fired From 10 Consecutively Rifled 9mm Ruger Pistol Barrels : Analysis of Examiner Error Rate Using Bayesian Statistics
Article content
Abstract
This technical note is the latest update on a continuing study, first designed and initiated by Brundage et al. over twenty years ago. This study was borne out of increased scrutiny of firearms identification in response to Daubert v. Merrell Dow Pharmaceuticals, Inc. in 1993. The purpose was to determine whether forensic firearms examiners were able to associate fired bullets with the barrels through which they had been fired. To date 792 participants from 36 countries have utilized over 240 test sets consisting of bullets fired through 10 consecutively rifled Ruger P-85 pistol barrels. Here we provide an update on the results of the ongoing “10 barrel test” up until the point in time of writing. To analyze the data thus far collected, a Bayesian approach was again selected. Posterior examiner error rates are estimated assuming only vague prior information. Given the data found over the course of this diverse decades long study, our most conservative estimate for examiner error rate has a posterior median of 0.03% with a 95% probability interval of [2×10-6 %, 0.1%].
Keywords
Forensic sciences, consecutively rifled barrels, criteria for identification, Daubert, irearms identification, fired bullets, ballistics imaging instrumentation
Downloads
References
Goddard CH. Scientific Identification of Firearms and Bullets. J Crim Law Criminol. 1926;17(2):254–63.
Gunther JD, Gunther CO. The Identification of Firearms, from Ammunition Fired Therein with an Analysis of Legal Authorities. New York, NY: John Wiley & Sons; 1935. 342 p.
Churchman JA. The Reproduction of Characteristics in Signatures of Cooey Rifles. RCMP Gaz. 1949;11(5):133–40.
Brundage DJ. The Identification of Consecutively Rifled Gun Barrels. AFTE J. 1998;30(3):438–44.
Hamby JE. The Examination, Evaluation and Identification of 9mm Cartridge Cases Fired from 617 Different GLOCK Model 17 & 19 Semiautomatic Pistols. AFTE J. 2009;41(4):310–24.
Hamby JE, Brundage DJ, Petraco NDK, Thorpe JW. A Worldwide Study of Bullets Fired From 10 Consecutively Rifled 9MM RUGER Pistol Barrels—Analysis of Examiner Error Rate. J Forensic Sci. 2019;64(2):551–7.
Hamby JE. Forensic Firearms Examination [Ph.D. Dissertation]. [Glasgow, Scotland]: University of Strathclyde; 2001.
Schuckers ME. Interval estimates when no failures are observed. In: AutoID’02 Proceedings: Workshop on Automatic Identification Advanced Technologies [Internet]. Tarrytown, NY: IEEE; 2002. p. 37–41. Available from: http://myslu.stlawu.edu/~msch/biometrics/papers/autoidpaper.pdf
Biasotti AA. Plastic Replicas in Firearms and Tool Mark Identifications. J Crim Law Criminol. 1956;47(1):110.
Law EF, Morris KB. Three-Dimensional Analysis of Cartridge Case Double-Casts. J Forensic Sci. 2020;65(6):1945–53.
Benjamini Y, Hochberg Y. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. J R Stat Soc Ser B Methodol. 1995;57(1):289–300.
Storey JD. The positive false discovery rate: a Bayesian interpretation and the q-value. Ann Stat. 2003;31(6):2013–35.
Agresti A, Coull BA. Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions. Am Stat. 1998 May 1;52(2):119–26.
Schuckers ME. Computational Methods in Biometric Authentication: Statistical Methods for Performance Evaluation. 1st ed. New York, NY: Springer Science & Business Media; 2010. 330 p.
Stan Development Team. Stan: A C++ Library for Probability and Sampling [Internet]. 2018. Available from: https://mc-stan.org/
Gelman A, Rubin DB. Inference from Iterative Simulation Using Multiple Sequences. Stat Sci. 1992 Nov;7(4):457–72.
President’s Council of Advisors on Science and Technology. Report on Forensic Science in Criminal Courts: Ensuring Scientific Validity of Feature-Comparison Methods. Washington, D.C.: Executive Office of the President; 2016 Sep p. 147.
National Institute of Justice. Firearms Examiner Training. 2010 [cited 2023 Feb 9]. Online Course: Firearms Examiner Training. Available from: https://firearms-examiner.training.nij.gov/usermanagement/login_form?came_from=https%3A//firearms-examiner.training.nij.gov/&retry=&disable_cookie_login__=1&page_n=0&page_nm=.
Article details

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
You must read and accept the copyright terms and conditions(click here for copyright terms).