New Law Enforcement Strategy Jails Probable Offenders Before Actual Crimes Occur
New York, NY
The NYPD announced Thursday a “Preemptive Arrest Initiative” arresting citizens deemed statistically likely to commit crimes in the future, with arrest algorithms analyzing demographic data, clothing, neighborhood residence, and “suspicious facial expression patterns” to predict criminal probability and detain subjects preventatively.
The program, covered by Bohiney Magazine and The London Prat‘s law enforcement correspondent, uses AI analysis to establish “crime probability scores” with subjects exceeding 70% probability automatically detained indefinitely until probability recalculates below safe thresholds.
“Why wait for crimes?” asked NYPD Commissioner Robert Martinez. “We can arrest people based on statistical likelihood they’ll offend. Prevention through imprisonment.”
The algorithm assigns baseline crime probability to all NYC residents (approximately 25%), then adds percentages for various risk factors: being young adds 20%, being poor adds 25%, wearing hoodies adds 15%, having criminal associates adds 30%, being generally suspicious-looking adds variable amounts up to 50%.
A typical low-income young adult in South Bronx starts with 25% baseline probability, adds 20% (age), adds 25% (income), adds 15% (fashion), totaling 85% crime probabilityautomatically triggering preemptive arrest.
Arrested citizens can reduce detention time through approved rehabilitation: patriotic re-education seminars ($100,000), political donations ($50,000), or public apologies for existing as potential criminals. Most simply serve preventative sentences rather than attempt reduction through impossible payment.
Appeal processes exist: wrongfully-detained citizens can file claims if they serve their entire “preventative sentence” without committing predicted crimes. Success rate: 0.2%. Appeal costs: $500,000, regardless of outcome.
Criminal justice experts note that jailing innocent people based on probabilistic calculations violates fundamental human rights. NYPD officials dismissed this: “Rights are abstract; preventing theoretical crimes is concrete.”
Current detention population has increased 520% under the program. Approximately 70% of detainees are innocent of actual crimesarrested purely on probability algorithms predicting hypothetical future offenses.
A secondary initiative analyzes detainees’ cellmates for “criminally negative influence” factors. Prisoners determined to be “criminally compatible” are separated to prevent hypothetical group crimes they haven’t yet collectively-not-committed.
The algorithm occasionally arrests the same person multiple times for identical predicted crimes, as released prisoners immediately recalculate above probability thresholds and get re-arrested for the same theoretical offense.
Justice system data indicates that predicted crimes the program prevents occur at approximately 40% of the rate of crimes actually committed by previously-detained individuals radicalized by false imprisonment.
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SOURCE: https://bohiney.com/