Back to Search Start Over

Commentary on Guyll et al. (2023): Misuse of Statistical Method Results in Highly Biased Interpretation of Forensic Evidence

Authors :
Rosenblum, Michael
Chin, Elizabeth T.
Ogburn, Elizabeth L.
Nishimura, Akihiko
Westreich, Daniel
Datta, Abhirup
Vanderplas, Susan
Cuellar, Maria
Thompson, William C.
Publication Year :
2023

Abstract

Since the National Academy of Sciences released their report outlining paths for improving reliability, standards, and policies in the forensic sciences NAS (2009), there has been heightened interest in evaluating and improving the scientific validity within forensic science disciplines. Guyll et al. (2023) seek to evaluate the validity of forensic cartridge-case comparisons. However, they make a serious statistical error that leads to highly inflated claims about the probability that a cartridge case from a crime scene was fired from a reference gun, typically a gun found in the possession of a defendant. It is urgent to address this error since these claims, which are generally biased against defendants, are being presented by the prosecution in an ongoing homicide case where the defendant faces the possibility of a lengthy prison sentence (DC Superior Court, 2023).

Subjects

Subjects :
Statistics - Applications

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2309.04409
Document Type :
Working Paper