Every part of our pipeline is designed to defeat one accusation: "you only track the aircraft you're already suspicious of."We don't. The machine watches every aircraft, all the time, and the math decides what stands out.
We log every ADS-B / MLAT detection in the observation zone — not a curated subset. 137,000+ records, 3,995 aircraft, growing.
Before flagging anything, the system observes for 48 hours to learn what NORMAL looks like for that airspace at that time of day, season, and weather.
Outliers are scored against the learned distribution. The threshold is published. We don't pick — math picks.
Each record receives a SHA-256 hash linked into a Merkle chain. Any tampering is detectable. Evidence is reproducible by any third party.
Where we correlate aircraft activity with biometric or witness data, we apply the Bradford Hill criteria (strength, consistency, specificity, temporality, etc.) — the same framework used in epidemiology and courtrooms.
Every line of Watchtower 2.0 will be public. The methodology IS the code. Deploy it in your county, get the same answers.
of detections logged — not just suspicious ones
flagged during baseline window — by design
minimum learning period before any flag is valid