Revisiting the Tinley Park Lights
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.
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.
Can plants affect the ordering of random numbers? Can they bend probability to give them an edge in their growth?
What if your mind alone could influence a device?
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 claimed triangles are nocturnal. That disks are 5x more likely to involve entities. That shadow beings terrify while light beings inspire awe. Here's the sighting ID index so you can verify it yourself.
I analyzed entity encounters in the NUFORC sightings database. Shadowy beings: 68% of witnesses report fear. Greys: 38% involve abduction. Light beings: more awe than fear.
I analyzed 152,000 UFO sighting reports. Some patterns: triangles almost never appear during the day. Disks are 5x more likely to involve entity encounters. And the majority are silent.
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.
Avi Loeb just wrote a Medium article about the interstellar comet I3/Atlas - and while the comet itself is interesting, his commentary on the state of science today is the real takeaway
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?
Building our own UAP 'dog whistle' device using a Raspberry Pi Zero, battery, and custom Python code. Inspired by Skywatcher's tech, we're sharing the complete DIY guide.