The power few: experimental criminology and the reduction of harm: The 2006 Joan McCord Prize Lecture
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There are greater concentrations in a smaller number of mixed offenders and co-offenders than among solo offenders.
“Based on analyses of the 'felonious few' (Sherman, 2019; see also Sherman, 2007 ) - offenders responsible for a disproportionate ratio of crime counts or crime harm out of all offenders in the dataset - we find greater concentrations in a smaller number of mixed offenders and co-offenders than among solo offenders.”
From The Compounding Effect: How Co-Offending Exacerbates the Harm Caused by Violent Offenders (2024) · cites this paper as Sherman, 2007
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Self-citationCan we avoid reductionism in risk reduction?
Prins, S. J., & Reich, A. D. (2017) · Theoretical Criminology · doi:10.1177/1362480617707948 · Cited by 19 · see citing works
Criminal Careers Among Female Perpetrators of Family and Nonfamily Homicide in Australia
Eriksson, L., McPhedran, S., Caman, S., Mazerolle, P., Wortley, R., & Johnson, H. (2018) · Journal of Interpersonal Violence · doi:10.1177/0886260518760007 · Cited by 19 · see citing works
Targeting the Most Harmful Co-Offenders in Denmark: a Social Network Analysis Approach
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Open drug scenes and the merging of policing practice and research
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Hayes, R., Downs, D., & Blackwood, R. (2011) · Journal of Experimental Criminology · doi:10.1007/s11292-011-9137-5
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Tracking Violent Crime with Ambulance Data: How Much Crime Goes Uncounted?
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MacDonald, J. M. (2023) · Journal of Experimental Criminology · doi:10.1007/s11292-023-09558-w · Cited by 18 · see citing works
Recalibrating the Police to Focus on Victims Using Police Records
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Harm: A Substitute for Crime or Central to It?
Paoli, L., & Greenfield, V. A. (2018) · Critical criminological perspectives · doi:10.1007/978-3-319-76312-5_4 · Cited by 16 · see citing works
Harm-focused offender triage and prioritization: a Philadelphia case study
Ratcliffe, J., & Kikuchi, G. (2019) · Policing: An International Journal · doi:10.1108/pijpsm-08-2018-0118 · Cited by 15 · see citing works
Weir, K., Routledge, G., & Kilili, S. (2019) · Policing A Journal of Policy and Practice · doi:10.1093/police/paz015 · Cited by 15 · see citing works
Standard Errors in Quantitative Criminology: Taking Stock and Looking Forward
Sweeten, G. (2020) · Journal of quantitative criminology · doi:10.1007/s10940-020-09463-9 · Cited by 9 · see citing works
Victim-Offender Overlap in Violent Crime: Targeting Crime Harm in a Canadian Suburb
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Identifying and Responding to Hot Spots
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Burying the ‘Power Few’: Language and Resistance to Evidence-Based Policing
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The Individual-Level Deterrent Effect of “Call-In” Meetings on Time to Re-Arrest
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Evidence vs. Professional Judgment in Ranking “Power Few” Crime Targets: a Comparative Analysis
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Official Criminology and the New Crime Sciences
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Does Tracking and Feedback Boost Patrol Time in Hot Spots? Two Tests
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Machine learning for policing: a case study on arrests in Chile
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CRITIC: A prospective planning tool for crime prevention evaluation designs
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The power few missing persons: A 10-year follow-up study of over 2,000 youth missing persons
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- Authors
- Sherman, L. W.
- Affiliations
- University of Cambridge (GB)
- Corresponding author
- Sherman, Lawrence W.
- ORCID
- Sherman, Lawrence W.
- Venue
- Journal of Experimental Criminology
- Published
- 2007-11-09
- Volume
- 3
- Issue
- 4
- Pages
- 299-321
- ISSN
- 1572-8315 (ISSN-L)
- 1573-3750
- OpenAlex
- W1572246188
- Cited by
- 183
- References
- 60
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 11 · 2023: 12 · 2022: 15 · 2021: 9 · 2020: 20 · 2019: 16 · 2018: 13 · 2017: 17 · 2016: 11 · 2015: 11 · 2014: 3 · 2013: 7 · 2012: 8
- FWCI
- 6.39
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Experimental Criminology (publishedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
- Social Sciences › Law › Criminal Justice and Penology
- Social Sciences › Sociology and Political Science › Criminal Justice and Corrections Analysis
- Keywords
- experimental criminology, statistical power, harm reduction, sample homogeneity, base rates, intervention dosage, punishment, crime prevention
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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