Numbers are useful and numbers mislead. This lesson gives you the prevalence and workforce figures most often cited in 2024–2026 research, and flags the three statistical traps that show up most often in corporate and academic conversation.
Use these as orders of magnitude, not as precise counts.
Unemployment for autistic adults in the U.S. is estimated between 30% and 85% depending on methodology — staggeringly higher than the general-population rate. The gap is not explained by capability; it is explained by hiring practices, interview formats, and workplace design that filter out neurodivergent candidates before they can demonstrate what they actually do.
Common mistakes that turn good data into bad arguments.
A DEI lead is asked to defend a neurodiversity hiring program. Her first draft cites '85% autistic unemployment.' After this lesson she revises to '30–85% depending on methodology' and explains the range — the board questions get sharper and her credibility climbs.
Takeaway: Ranges with caveats are more persuasive than scary single numbers.
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I'm a learner. I'm about to use this statistic: ____. Help me identify which of the three traps it might fall into and rewrite it accurately.
Open in CompanionI'm a learner. Help me draft a single slide that frames the workforce participation gap as a design issue rather than a capacity issue, using ranges instead of single numbers.
Open in CompanionI'm a learner. Explain the difference between rising diagnosis rates and rising prevalence to a skeptical colleague in three short sentences.
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