The idea
Coordinate repeatable paper experiments across people and rooms, then choose a useful next trial instead of chasing a leaderboard.
How it works
- Choose a simple shared outcome such as how much weight a paper bridge supports.
- Assign variations and record each result with enough context to reproduce it.
- Repeat surprising outcomes and select the next trial to reduce uncertainty, not maximize a score.
AI’s role: Select an informative next trial from recorded results; transparent experiment code and participant repeats produce reproducible evidence.
First demonstration
Assign a paper-fold variation, repeat a surprising result, and choose the next trial. Start with a few dozen trials, one paper type, and one measured outcome.
What to solve next
How can repeated measurements expose variation while separating folding technique, paper differences, and measurement error?