Claim Verify Loop

A claim-by-claim adversarial verification loop over a results draft. The artifact is the draft; the feedback signal is the count of unverified claims — claims not yet checked, or checked but not yet survived a stress test. You drive it to zero: each claim ends verified (reproduces and survives the obvious threats) or appropriately qualified (hedged, scoped, or retracted with the reason).

The discipline: a number that merely reproduces is not trustworthy — most wrong findings reproduce fine. A claim is verified only when it also survives the threat most likely to kill it: an outlier, a confound, a subgroup too small to mean anything, a sign that flips under stratification. This loop is a gate on an existing draft, not a generator of new findings.

When to use

Use this when you have a draft (or a list of claims) drawn from a dataset and want each claim red-teamed before it goes out. Default to verifying every discrete claim in the draft; if the user flags a few high-stakes claims, prioritize those but still sweep the rest. Not for open-ended discovery of new findings (that is the data-analysis loop) and not for diagnosing one known anomaly.