{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Safe Aerospace Podcast","title":"Phantom NJ Swarms: Uncovering 13,000 UAP Police Records with AI | John Malaska x Ryan Graves","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/fab8e131\"></iframe>","width":"100%","height":180,"duration":5497,"description":"What really happened during the 2024 New Jersey drone wave?\nRyan Graves sits down with AI researcher John Malaska, whose own unexplained thermal-camera sighting led him to investigate the incidents through public records. After contacting municipalities across New Jersey, John assembled approximately 13,000 records—including police reports, dispatch logs, emails, body-camera transcripts, drone telemetry, and government intelligence reports—and used AI to identify patterns within the data.\nOur conversation examines reports of possible electromagnetic interference, unidentified radar returns near airports, activity around reservoirs and other critical infrastructure, the difficulties faced by local police, and the gap between official assurances and what responding agencies documented.\nWhether these objects were drones, misidentified aircraft, UAP, or a combination of all three, the records reveal a serious weakness in America’s ability to understand and protect its increasingly congested low-altitude airspace.\nLearn more, become a member, and support our work at: safeaerospace.org.","thumbnail_url":"https://img.transistorcdn.com/DG2Tk6RXfbMoGHveTWCvYZ2irxR2H9sIjZRsqhaF1iw/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81ZTk0/ZjNiNDgzZmM2ZjZh/NzgwMDE4ODIyYmQ2/NTdhOC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}