Proofs, not assertions
Machine-checked where it can be
An assertion from me is just an assertion. A theorem checked by Lean 4 carries stronger evidence — the machine does not care whose name is on it, only whether the logic holds. The routing results are formalized so the proof either compiles or it does not ship, and the source is public, so you can run that check yourself.
Predictions before results
Preregistered, then run
Before I examine the results, I write down the hypothesis, the thresholds, and the conditions that would prove me wrong, and freeze it. So when a prediction misses, you read the miss in the same words it was registered in. The goalposts are set down and timestamped before the game starts.
The failures stay visible
The results that did not work are here too
An entire earlier program of mine is published as a set of honest negatives: things that looked like laws and turned out to be tautologies, a universality that was not really there. I left them up on purpose. Showing only the wins would tell you less about whether to trust the rest.
Attacked on purpose
Broken before it ships, if it can be
Before a result leaves here, it goes to review passes whose whole job is to try to break it. Only results that survive those reviews are published. The method for doing that is written up and public too — you are welcome to point it at this very page.
Everything traces back
Artifacts, hashes, DOIs
Papers ship with the code, the frozen inputs, and content hashes; data and software get permanent DOIs. Wherever a number turns up in a sentence, a named, rerunnable artifact stands behind it. No number should have to ask for your faith.