Pre-registering an Eval Study

Locks the hypothesis, falsification criteria, stopping rules, and power justification of an empirical evaluation BEFORE any data is collected or observed. Use when designing an LLM eval, an A/B experiment, a clinical or observational study, an ML model comparison, or any decision that will rest on a test statistic. Produces a one-page pre-registration document committed to a versioned location prior to the first run, so that HARKing (hypothesizing after results are known), p-hacking, optional-stopping, and outcome-switching cannot quietly inflate the false-positive rate. Refuses to pre-register vague hypotheses ("model A is better"), open-ended stopping rules ("until resu…