Broken windows policing reduces serious crime
Aggressively policing minor disorder — graffiti, fare evasion, loitering — prevents serious crime by signaling that lawbreaking is not tolerated in a community.
NYC crime declined after broken windows adoption, but so did crime in cities with no such policy — the causal mechanism remains unverified and the enforcement costs fall disproportionately on Black and Latino residents.
This claim analysis is fresh and accurate as of 2026-07-07
Premise Assessment
Is the claim as stated true? Four dimensions, each 0–25, sum to 100. The verdict label is derived from this score. Full rubric →
Quality and quantity of direct evidence for or against the claim — RCTs, systematic reviews, natural experiments, large cohort studies.
NYC crime fell alongside broken-windows adoption, but Weisburd et al.'s (2016) systematic review of 25 studies found generally small, inconsistent effects, and the post-Floyd 95% drop in stop-and-frisk stops was not followed by a crime increase.
Whether the proposed mechanism is valid and established — does the how make sense, or are there fundamental flaws in the causal logic?
Sampson & Raudenbush (1999) found collective efficacy, not disorder itself, predicts crime — undercutting the direct disorder-signals-crime pathway Wilson and Kelling proposed.
Degree of agreement among domain experts and relevant scientific or policy bodies — depth and quality of consensus, not just majority opinion.
Criminology has largely shifted toward hot-spots and focused-deterrence models with stronger evidentiary support; Harcourt's critique of the theory is widely cited.
Whether findings hold across independent studies, populations, and contexts — resistance to p-hacking and publication bias.
Cities using different strategies (Boston's Ceasefire, San Diego's community policing) achieved comparable 1990s crime declines without broken-windows tactics, undercutting claimed uniqueness of the mechanism.
Individual vs. Structural
How much of the outcome is explained by structural forces versus individual agency? Four dimensions, each 0–25. Higher scores indicate stronger structural causation. Full rubric →
Score component breakdown not yet available for this entry.