The mundane hypothesis goes something like this. "UFOs are just..." and then insert your flavor of the month. Secret tech, airborne clutter, rumor, satellites, swamp-gas, misidentifications, etc. Anything and everything mundane is grouped together into a random hodge-podge of a hypothesis. Its a junk drawer of stuff in easy reach. Everything in that mundane drawer has one thing in common: randomness. There is no deeper architecture. No forensic signature. Just sky clutter, human error, and retrospective pattern-making. Hal Puthoff said that the way to get past this is to shift from speculation to forensic traffic analysis. Stop asking what UFOs mean, and start asking what repeatable patterns and signatures surround them. So that's what I did. It doesn't occur to people that UFO events leave behind signatures that are not classified, but are sitting out in the open. Not in the ground scarring of a landing site, but in the structure of the sky. Those signatures can be studied. The math is simple. What happens when you get enough signatures, and compare them to the mundane? You get evidence that the "high-strangeness" sky does not behave like the "random sky clutter" sky. That eliminates any hypothesis that relies on randomness. Which is pretty much anything mundane. So what exactly is forensic traffic analysis? When it comes to UFOs and the sky, it is the study of whether anomalous events leave repeatable patterns in timing, geometry, recurrence, and witness-field structure that ordinary sky clutter does not leave behind. So let me introduce you to ephemeris data. It enables us to study the traffic of UFOs by turning each sighting into a time-stamped sky map, then asking whether high-strangeness events cluster around patterns that ordinary sky clutter does not. And that's where my latest results come in. I took documented high-strangeness event charts, experiencer natal charts, professional psychic natal charts, Tulku lineage charts, catastrophic event control charts, and mundane event control charts, and ordinary folk control charts, (almost 500 charts in all) and forced them into the same comparative arena - The Astro-Mythic Map. It's pretty easy to take publicly available ephemeris data, draw up charts for UFO events, score sky-structures, and then compare. When enough high-strangeness signatures are gathered, the anomaly field starts separating from the mundane field. The mundane hypothesis would demand noise, but I found structure. Extreme statistical significance. Across research runs, I keep finding separation where randomness predicts collapse. And its not just UFO event charts differing from mundane control charts. Experiencer, psychic, and Tulku charts separate from ordinary folks natal chart controls too. 117 anomaly-side natal charts vs 107 control natal charts minor-tight aspect density ≤ 3° Mann–Whitney p ≈ 0.000000000968 ≈ 1 in 1.03 billion Yes, I have been tempted to think it’s a mistake. But different runs, different chart sets, and different versions of the software I use have kept producing similar separation signals, week after week, for over a year. submitted by /u/Julian_Thorne [link] [comments]