Nobody has ever measured whether self-identification is accurate
No study has taken self-identified autistic adults and formally assessed whether they meet the criteria. The accuracy figure does not exist - in either direction.
We have not finished checking this source. No judgement either way. how we score evidence
Caveat on this rating: The absence is the finding, and it is labelled as one: no accuracy percentage for self-identification exists anywhere in this literature, so none appears here in either direction. The 73-89% referral-yield range (Ashwood et al. 2016; Robinson et al. 2025) is not concordance data and is presented as what it is, a selection-biased upper bound from clinic-referral samples. A sampling caution binds much of the surrounding literature: samples recruited through social media show a reversed sex ratio, higher employment and education, and fewer people with intellectual disability than population expectations (Rodgaard et al. 2022, doi:10.1002/aur.2777). Separately verified and equally absent: no peer-reviewed prevalence estimate of social-media-driven self-identification, and no longitudinal study following self-identifiers through to formal assessment. Industry figures circulating on those points are unverified and are not cited.
No study has taken self-identified autistic adults and formally assessed whether they meet diagnostic criteria. The accuracy figure does not exist in either direction.
Significant findings
The design is obvious and nobody has published it: take adults who identify as autistic without a diagnosis, assess them properly, count how many meet criteria. Searches across PubMed, Europe PMC and OpenAlex in August 2026, by more than three independent routes, found no such study.
That is a labelled gap rather than a hedge. It means no number vindicates self-identification and no number impugns it. Any percentage offered on this question is not coming from this literature.
The nearest figure is a different quantity in similar clothing. Among adults who reach a specialist referral service, 73 to 89% receive a diagnosis - but they have already passed a GP, a waiting list and a clinician's judgement. That is referral yield, and reading it as an accuracy rate would delete the selection that produced it.
Worth asking
The answerable version of the question is procedural. What would an evaluation check in my case, who can carry one out where I live, and what is the wait?
Source
Predictive validity of self-report questionnaires in the assessment of autism spectrum disorders in adults — Sizoo BB, Horwitz EH, Teunisse JP, et al. (2015)
Read the source: https://doi.org/10.1177/1362361315589869
DOI: 10.1177/1362361315589869
How this was scored
- Study design
- not recorded
- Funding
- not recorded
- Published in
- not recorded
- Sample size
- not recorded
- Preregistered
- not recorded
- Conflicts disclosed
- not recorded
- Independent of proponent
- not recorded
- Retracted
- No
We have not finished checking this source, so there is no scoring to show yet. “We have not checked this yet” and “this is disputed” are different statements, so no scored band is shown rather than a low one.
Read the full scoring rubric, including what it can't tell you.
Published August 31, 2026.
Questions
How strong is the evidence behind this?
Resolv rates this source "not yet assessed". We have not finished checking this source. No judgement either way. One caveat travels with that badge: The absence is the finding, and it is labelled as one: no accuracy percentage for self-identification exists anywhere in this literature, so none appears here in either direction. The 73-89% referral-yield range (Ashwood et al. 2016; Robinson et al. 2025) is not concordance data and is presented as what it is, a selection-biased upper bound from clinic-referral samples. A sampling caution binds much of the surrounding literature: samples recruited through social media show a reversed sex ratio, higher employment and education, and fewer people with intellectual disability than population expectations (Rodgaard et al. 2022, doi:10.1002/aur.2777). Separately verified and equally absent: no peer-reviewed prevalence estimate of social-media-driven self-identification, and no longitudinal study following self-identifiers through to formal assessment. Industry figures circulating on those points are unverified and are not cited. The score is calculated from recorded facts about the source — study design, funding, publication venue, sample size, preregistration — not typed in by an editor.
What is the source for this?
Predictive validity of self-report questionnaires in the assessment of autism spectrum disorders in adults — Sizoo BB, Horwitz EH, Teunisse JP, et al. (2015). DOI: 10.1177/1362361315589869. The full source is linked on this page so you can read it yourself.
Is this medical advice?
This is information to bring to your prescriber, not medical advice and not a reason to change anything on your own. Nothing here is an instruction to stop or reduce a medication. If you are in crisis, call or text 988.
This is information to bring to your prescriber, not medical advice and not a reason to change anything on your own. Nothing here is an instruction to stop or reduce a medication. If you are in crisis, call or text 988.