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Forensic Safety Analysis

Real-world examples of how Tranzia's "Decision Receipts" document pre-incident risk context.

⚠️ Advisory Only: These case studies reconstruct historical data to demonstrate risk detection capabilities. Tranzia does not predict incidents.

NYC • Isolation Risk2024-05-04 03:40

59th St Station Robbery

Columbus Circle (1 Train Platform)
03:40 AM (Dead of Night)
Risk Factor: Severe Isolation

A station that is safe during rush hour becomes a liability trap at 3 AM. Tranzia flagged the absence of people as the primary risk vector, documenting low ambient light and cleaning schedules.

// Tranzia Audit Log

"risk_label": "High Risk"

"critical_flags": ["SEVERE_ISOLATION_RISK"]

"recommendation": "Consider Rideshare"

London • Crowd Risk2024-03-26 10:15

Baker St E-Bike Snatch Spree

Baker Street (Marylebone)
10:15 AM (Daytime Peak)
Risk Factor: Distraction / Density

Contrast to NYC: The risk here was too many people. Thieves exploited crowd density and bus lane layouts for e-bike getaways. Tranzia flagged "Theft Density" despite it being broad daylight.

// Tranzia Audit Log

"risk_label": "Caution"

"critical_flags": ["HIGH_THEFT_DENSITY"]

"advisory": "Maintain situational awareness"

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