From 13,000 Records to Safer Skies: New Jersey Drones and UAP Discourse
To the point
Ryan Graves and John Malaska say that a wave of low‑altitude drones near critical sites in New Jersey is being studied by turning thousands of public records into a connected data map to spot patterns and reporting gaps, and they argue that nationwide data sharing and AI‑driven analysis are needed to better understand and protect airspace and infrastructure.
Ryan Graves and John Malaska discuss a wave of low-altitude drone activity in New Jersey that coincided with broader UAP interest, with incidents near Bedminster, Pikatin, and Round Valley Reservoir raising concerns about critical infrastructure and aviation safety. Malaska, who shifted from art and video games to artificial intelligence, describes building an expansive archive—about 13,000 records—by pursuing public records requests across 564 municipalities, then organizing the material in a data lake and a Neo4j-style knowledge graph to surface patterns from police CAD records, incident reports, photos, and drone telemetry. The findings point to recurring signals such as electromagnetic interference, radio outages, drones hovering near police and fire facilities, and clusters around reservoirs feeding millions, alongside a broader federal–state information loop that yielded 99 suspicious-activity reports but imperfect, sometimes conflicting narratives. The project also exposes governance gaps: opaque records systems, the New Jersey home-rule framework that fragments custody of documents, and the absence of a clear reporting-and-mitigation loop for aerial intrusions. Graves argues the phenomenon may be real or not, but the scale of mobilization and the risk to safety demand better data-sharing and coordination, including linking UAV detection with UAP investigations. He envisions expanding the effort nationwide, aggregating records across states to reveal patterns, and using AI-assisted querying to keep everything grounded in actual documents rather than guesses. The conversation underscores the difficulty of distinguishing objects in the sky—stars, planes, drones, or something else—and the importance of timely reporting, as delays can hinder analysis. The participants advocate for more public access to records, more resources for the research community, and a practical framework to protect critical infrastructure while improving airspace awareness. They also highlight personal stories from residents and officers, illustrating how ambiguous sightings can trigger fear and spur civic action, even as official narratives struggle to reconcile hundreds of disparate sources. The episode closes with a call to join Safe Aerospace, contribute data, and continue exploring these patterns with community and expert collaboration.
Source: youtube.com