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Pulling back the veil of darkness

A proposed road map to disentangle racial disparities in traffic stops, a research note

Bibliographic Data

ID9680787
AuthorsJedidiah L Knode (0009-0008-9770-3939, School of Criminal Justice Michigan State University East Lansing Michigan USA, corresponding author), Scott E Wolfe (0000-0002-1485-2541, School of Criminal Justice Michigan State University East Lansing Michigan USA), Travis M Carter (0000-0001-5793-4451, School of Criminal Justice Michigan State University East Lansing Michigan USA)
Year2024
Volume62
Issue2
Pages364-375
Publication date2024-05-01
Open AccessYes
TypeARTICLE
VenueCriminology (JOURNAL)
Journal identifiersISSN: 0011-1384 • E-ISSN: 1745-9125
PublisherWiley (PUBLISHER • GB)
DOI10.1111/1745-9125.12366
OpenAlexW4398218868
LanguageEN
Citations received9
References cited15

The veil of darkness (VOD) is a practical and rigorous methodology for examining racial disparities in police traffic stop behavior. Past research, however, has been littered with methodological inconsistencies inhibiting cross‐study comparison and decisions regarding policy. Accordingly, we clarify four aspects of its implementation: 1) coding daylight, our treatment condition; 2) constructing an intertwilight period; 3) accounting for seasonal differences in driving or patrol patterns; and 4) modeling VOD multivariable regression equations. We discuss the theoretical and practical implications of methodological decisions as they pertain to the method's functionality as a natural experiment. Furthermore, we propose a novel weighting procedure to account for seasonal driving population differences. We examined more than 50,000 traffic stops conducted by Michigan State Police during 2021 to demonstrate our suggested framework for future analyses

Darkness · Physics · Race (biology · Sociology · Crime Patterns and Interventions · Gender Studies · Migration, Refugees, and Integration · Policing Practices and Perceptions · Psychology

  • Suspicion in Numbers

    Open Access•Lance Hannon, Molly Biddle•Race and Social Problems•2026

  • Daylight, race, gender, and age

    Open Access•Anthony Vito, Gregory C Rocheleau et al.•International Journal of Police…•2026

  • Tough Shift

    Open Access•Marc Olson, Ian T Adams•Journal of Quantitative Criminology•2026

  • Beyond Identification

    Open Access•Jedidiah L Knode, Travis M Carter et al.•Journal of Quantitative Criminology•2026

  • Driving While Broke

    Open Access•Jedidiah L Knode, Travis M Carter et al.•Justice Quarterly•2025

  • Police serve more than residents

    Open Access•Daniel Reinhard, Scott W Bowman•Journal of Criminal Justice•2026

  • Night and day

    Open Access•Esmeralda J Rubalcava Hernandez, Bethany M Wood et al.•Journal of Ethnicity in Criminal…•2026

  • Beyond the Half‐Empty Glass

    Open Access•Kristy Holtfreter, Natasha Pusch et al.•Regulation & Governance•2025

  • Attempting to reduce traffic stop racial disparities

    Open Access•Travis M Carter, Scott E Wolfe et al.•Criminology & Public Policy•2024

  • Evidence-Based Policing

    CYNTHIA LUM, CHRISTOPHER S KOPER•Evidence-Based Policing•2017

  • Testing for Racial Profiling in Traffic Stops From Behind a Veil of Darkness

    Jeffrey Grogger, Greg Ridgeway•Journal of the American…•2006

  • How Dark Is Dark? Bright Lights, Big City, Racial Profiling

    Open Access•William C Horrace, Shawn M Rohlin et al.•The Review of Economics and…•2016

  • Methodological Challenges and Opportunities in Testing for Racial Discrimination in Policing

    Roland Neil, C Winship•Annual Review of Criminology•2018

  • A large-scale analysis of racial disparities in police stops across the United States

    Open Access•Emma Pierson, Camelia Simoiu et al.•Nature Human Behaviour•2020

Citations per year4.5
Citation span2024 - 2026 (3)
Highly citedNo

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