Using generative AI and natural language processing on multiple UFO sighting databases, we finally have the tools to answer questions like Hynek first posed in 1972
175 strangers filed independent reports about the same thing. 96% agreed on the color. 100% agreed on the sound. I ran the data on the Tinley Park Lights.
My first approach to analyzing 152,000 UFO sightings had a 34% accuracy rate. I almost published it anyway. Here's what went wrong with semantic embeddings, why I pivoted to LLM extraction, and the methodology that actually worked.
I don't expect you to believe this. But you have to acknowledge the timeline: Bitcoin mining and the Mandela Effect didn't just emerge around the same time. They scaled together. Perfectly. The correlation begs an explanation, even if that explanation sounds insane.
If we exist within a simulation, we cannot "break out" of it. This isn't a practical limitation—it's a logical impossibility. Instead can we use random behavior to let our simulators know we're on to them?
