REAL-WORLD INTERPRETIVE
One-sentence brief
Person-based systems can attach a durable future-risk designation to an identifiable person and influence repeated encounters even when the model is advisory or technically simple.
REAL-WORLD INTERPRETIVE
PREDICTIVE LAW ENFORCEMENT AND BEHAVIORAL THREAT ASSESSMENT
Person-Based Predictive Policing
Risk scores, priority tiers, hot-person lists, victimization/offending models, persistent designations, police-contact feedback, and due-process consequences.
REAL-WORLD INTERPRETIVE
ANALYTICAL & SAFETY BOUNDARIES
Keep related capabilities, evidence, and authority states separate.
- Retrieval, matching, identification, association, forecasting, prioritization, threat assessment, and coercive intervention are different functions.
- Place-based and person-based systems have different targets, evidence requirements, and rights consequences.
- A source describes a system or claim; it does not automatically establish current deployment, accuracy, effectiveness, legality, or fairness.
- A human review step is meaningful only when the reviewer has enough time, evidence, authority, independence, and an effective way to reject or correct the output.
Analytical boundary: “Pre-crime” is an analytical label for anticipatory decision architectures, not a single technology or proof that future conduct can be known. Record retrieval is not prediction; identity matching is not prediction of conduct; association is not guilt; a map is not necessarily a forecast; a concern category is not a statistical probability; a score, tier, list, or alert is not lawful grounds for coercive action; formal human presence is not meaningful review without time, evidence, authority, and an effective intervention path. Exact source bytes are preserved, but external claims remain source claims until independently verified.
Simulation safety boundary: Educational and non-operational. No real-person scoring, surveillance deployment, list construction, targeting, coercive workflow, evasion, or system-defeat guidance.
Source basis: 4 exact owner-supplied source instance(s) preserved in the WIP.75 predictive-law-enforcement collection.
LEVEL 1
ORIENTATION
Why this matters
REAL-WORLD INTERPRETIVE
Three key points
- The predicted outcome must be explicit.
- Being selected can change the data later used to validate selection.
- A designation is not lawful grounds for a stop, search, visit, or sanction.
LEVEL 2
WORKING BRIEF
Evidence, context, and limits
REAL-WORLD INTERPRETIVE
Different systems predict different outcomes
Systems may estimate offending, victimization, involvement in violence, recidivism, vulnerability, or police attention. Combining perpetration and victimization into one score can hide the meaning of a high-risk designation and the intervention it should support.
- Name the target variable.
- Separate victim support from offender targeting.
- Do not infer intent from association.
REAL-WORLD INTERPRETIVE
Selection can generate confirming data
When a designation increases stops, visits, field interviews, checks, or documentation, the resulting records can make the selected person appear more active in police data. Arrest or contact rates among heavily monitored people do not independently prove that the model discovered otherwise hidden offending.
- Record intervention-generated data.
- Use equivalent comparison groups.
- Separate offending, victimization, contact, and arrest.
REAL-WORLD INTERPRETIVE
Persistence, removal, and successor systems
A person-based designation can survive program renaming, model replacement, or organizational transfer through copied intelligence, priority tiers, narrative summaries, and partner records. Governance must cover removal, downstream propagation, correction, and functional successors.
- Publish inclusion and removal rules.
- Set retention and review periods.
- Audit successor programs for functional continuity.
LEVEL 3
COMPLETE DOSSIER
Limitations, game links, and review context
DISPUTED / MULTIPLE ACCOUNTS
Known limitations and gaps
- The owner-supplied reports preserve their own evidence classifications, research cutoffs, and uncertainties; the site does not silently upgrade them.
- Public information about thresholds, training data, model coefficients, operational modes, interventions, retention, and outcomes is frequently incomplete.
- Program labels change. Functional continuity must be evaluated rather than inferred from a name alone.
- Observed arrests, contacts, alerts, or declining crime after deployment do not by themselves establish predictive validity or causal effectiveness.
REAL-WORLD INTERPRETIVE
Related PsychologicalWar.org analysis
No related public page is required to understand this analysis.
REAL-WORLD INTERPRETIVE
Glossary cross-reference
Terms are defined for this site’s evidence method, not as universal legal or clinical definitions.
LEVEL 4
RESEARCH EDITION
Sources, methods, and stable links
REAL-WORLD INTERPRETIVE
Linked reports
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Predictive Policing in the United Kingdom: NDAS, HART, the Gangs Violence Matrix, and AI Crime MappingProtected research reference; no public report route in this release.
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Hot People: Chicago’s Strategic Subject List, LAPD LASER, and Pasco County’s Intelligence-Led Policing ProgramProtected research reference; no public report route in this release.
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Policing Future Risk in Australia: The NSW Suspect Targeting Management Plan, Operation Tepito, and Successor PracticesProtected research reference; no public report route in this release.
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The Real-World “Pre-Crime” Landscape: A Comparative Inventory and Governance Framework for Predictive Law EnforcementProtected research reference; no public report route in this release.
REAL-WORLD VERIFIED
Method and corrections
This page follows the public method for provenance, confidence, source independence, alternative accounts, limitations, review state, and visible correction.
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