This is a pattern recognition database. Not a belief system. Not entertainment. Not monetized.
We collect encounter reports from people who saw something they couldn't explain and chose not to talk about it — sometimes for decades. We're specifically interested in accounts from before 1990, before pop culture contaminated the language people use to describe these experiences.
In 1991, David Icke published his first book connecting reptilian entities to conspiracy theories. After that, every account became suspect — was the witness describing what they actually saw, or what TV told them it should look like?
Before 1990, there was no cultural script. A witness in 1968 had no framework for what they saw. No YouTube, no Ancient Aliens, no Reddit threads. Their description was raw — unfiltered by media. That's signal.
After 1990, every report carries contamination risk. We still accept post-1990 submissions, but they're scored differently. The AI credibility system accounts for media exposure, cultural contamination, and whether the witness actively rejected pop culture versions of their experience.
The strongest signals come from witnesses who:
If genuine encounters occur at specific locations, those locations should share environmental characteristics. We're testing whether encounter reports cluster near:
If independent witnesses from different decades describe similar encounters in locations with similar geology and EM profiles, that's a pattern worth investigating. If they don't, the hypothesis fails and we say so.
Every submission is automatically scored on three axes:
The Intel Dashboard lets you filter by these scores. Crank the credibility slider up and the contamination slider down — what remains is the cleanest signal in the database.
This is an unfunded science project built by someone who heard a story that was too specific, too reluctant, and too consistent to ignore. If you have a story like that, we're listening.