A quarter to two-thirds of the rise is changed counting

The quantified decompositions run from about 26% to about 60% of the rise attributable to changed counting - each with a confidence interval, a scope, and a residual none of them can explain.

not yet assessed

We have not finished checking this source. No judgement either way. how we score evidence

Caveat on this rating: Both flat verdicts are excluded by the record, in both directions. No peer-reviewed decomposition attributes 100% of the rise to changed counting, and none supports calling the whole rise real and unexplained either; every quantified study leaves a residual it cannot account for, and this row prints the intervals that carry it. The scope caveats are load-bearing: Hansen is Danish registry data and two named reporting changes, with a CI from 33 to 87 that leaves a large possible residual; King & Bearman is one US state's service registry and one pathway, published alongside four commentaries in the same issue of the journal and actively debated in print. The two figures are not commensurable and are neither summed nor averaged here. This row also makes no overdiagnosis claim: none of these studies measures overdiagnosis, none supports "most diagnoses are wrong," and none licenses any statement about an individual's diagnosis.

"How much of the rise is real?" has a peer-reviewed literature, and it almost never gets quoted with its confidence intervals attached. Two studies carry the numbers cited most often, and they measure different mechanisms in different countries.

Significant findings

Hansen and colleagues used Danish national registries and a population-based birth-cohort design - every child born in Denmark from 1980 through 1991, n=677,915, followed until diagnosis, death, emigration or the end of 2011 - and modelled two specific reporting changes as time-dependent covariates: the 1994 change in diagnostic criteria and the 1995 inclusion of outpatient contacts. The criteria change alone explained 33% of the increase in reported prevalence (CI 0-70), outpatient inclusion alone 42% (CI 14-69), and the two together 60% (CI 33-87). The authors call that "most" of the increase, and conclude the apparent rise is "in large part attributable to changes in reporting practices."

The lower anchor comes from California. King and Bearman examined 7,003 case records from the state developmental-services system, born before 1987 and enrolled between 1992 and 2005, and found that 26.4% (CI 16.25-36.48) of the increased caseload was attributable to diagnostic change through a single pathway - children previously diagnosed with intellectual disability who later acquired an autism diagnosis. Because it traces one pathway, it is a floor for diagnostic-change effects rather than a total.

What the range does not license is either confident story. No peer-reviewed decomposition attributes the entire rise to ascertainment. The honest summary is that every major quantified decomposition leaves an unexplained residual; the artifactual share runs from roughly a quarter to roughly two-thirds depending on country and mechanism; and the one study that came closest to explaining the whole increase by changed detection stated explicitly that a true increase could not be ruled out. The full table, with each study's scope beside its number, sits at www.resolv.social/topics/how-autism-got-counted.

Worth asking

Ask any percentage in this area three questions: what population, what mechanism, and what confidence interval. A figure quoted bare - "60% of autism is just better diagnosis" - has usually lost the country, the birth cohorts, the two specific reporting changes and the interval running from 33 to 87. And notice that both of the confident positions fail against this record: neither "it is all counting" nor "the rise is real and unexplained" survives contact with the studies that actually measured it.

Source

Explaining the increase in the prevalence of autism spectrum disorders: the proportion attributable to changes in reporting practices — Hansen SN, Schendel DE, Parner ET (2015)

Read the source: https://doi.org/10.1001/jamapediatrics.2014.1893

DOI: 10.1001/jamapediatrics.2014.1893

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: Both flat verdicts are excluded by the record, in both directions. No peer-reviewed decomposition attributes 100% of the rise to changed counting, and none supports calling the whole rise real and unexplained either; every quantified study leaves a residual it cannot account for, and this row prints the intervals that carry it. The scope caveats are load-bearing: Hansen is Danish registry data and two named reporting changes, with a CI from 33 to 87 that leaves a large possible residual; King & Bearman is one US state's service registry and one pathway, published alongside four commentaries in the same issue of the journal and actively debated in print. The two figures are not commensurable and are neither summed nor averaged here. This row also makes no overdiagnosis claim: none of these studies measures overdiagnosis, none supports "most diagnoses are wrong," and none licenses any statement about an individual's diagnosis. 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?

Explaining the increase in the prevalence of autism spectrum disorders: the proportion attributable to changes in reporting practices — Hansen SN, Schendel DE, Parner ET (2015). DOI: 10.1001/jamapediatrics.2014.1893. 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.