"Race-Norming and Statistical Discrimination: Beyond the NFL"

The title of this post is the title of this notable new paper authored by Sonja Starr and now available via SSRN. Here is its abstract:

This Article uses the recent NFL “race-norming” scandal — in which Black players with concussion claims were scored differently on cognitive impairment tests, based on the assumption that they were less intelligent at baseline—  as an entry point to a broad-ranging analysis of inconsistencies in the law’s treatment of statistical discrimination.  The Supreme Court has emphatically and repeatedly rejected efforts to justify otherwise-illegal discrimination against individuals by resort to statistical generalizations about groups. This doctrine makes practices like the NFL’s not just repugnant, but illegal — yet such practices are pervasive and persistent, in high-stakes settings far beyond the NFL.  Similar race-norming in diagnostic algorithms is ubiquitous in medicine, for example, but has avoided legal scrutiny.  Moreover, the justice system itself has embraced numerous similar practices, including demographic norming of intellectual-capacity assessments for defendants facing the death penalty, explicit class-based discrimination in criminal justice risk assessments, and the use of race- and sex-specific actuarial data to calculate tort damages.  This Article examines these practices, the law governing them, and the reasons for these disconnects between law and practice.