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The Autism "Epidemic" Myth: Why We're Just Getting Better at Recognition

Health
neurodiversity
/autism
/mental-health
3 min read

Every few days, I see another panicked headline about "skyrocketing autism rates" or well-meaning friends sharing concerns about an "autism epidemic." As someone who is autistic, and who has an autistic child, and has spent considerable time studying how systems evolve and improve diagnostics, I want to break down why this framing is both inaccurate and potentially harmful.

The increase in autism diagnoses isn't evidence of an epidemic—it's evidence of progress. Here's why.

7 Reasons Why There's No Autism Epidemic, Just a Boom in Diagnoses

Reason 1: Expanded definition

It's not that people are different than they used to be. It's that more people qualify now because the definition has changed. The diagnostic criteria for autism have been revised multiple times since the 1980s, each time becoming more inclusive.

Prior to the DSM-5 (Diagnostic and Statistical Manual of Mental Disorders), we had separate categories like Asperger's Syndrome and PDD-NOS. Now, these all fall under the umbrella of Autism Spectrum Disorder (ASD). It's like widening the entrance to a building and then being surprised when more people come in.

Reason 2: Diagnostic substitution

Many diagnosed with autism today would have received different diagnoses in the past, such as intellectual disability. As autism understanding evolved, these individuals were reclassified.

Think of it as a software refactor: the underlying code (the person) didn't change, but our tagging system got more precise. Studies tracking diagnostic patterns over time have shown clear evidence of this substitution effect across multiple countries.

Reason 3: Adult diagnosis

Autism used to be considered exclusively a childhood disorder. Many adults, especially women, flew under the radar for decades. Now, with better awareness and diagnostic tools, people in their 30s, 40s, and beyond are discovering answers to lifelong questions.

These aren't new cases of autism—they were always there, just unrecognized. Each late-diagnosed adult represents decades of missed data in our earlier statistics.

Reason 4: Shrinking gender bias

For years, autism research was based primarily on male presentations and had a reported 4:1 male-to-female ratio. That meant non-male cases were systematically overlooked.

We now understand that autism can present differently across genders, with less obvious external signs in many women and non-binary individuals. As this awareness grows, we're starting to correct a massive blind spot in our diagnostic systems.

Reason 5: Universal screening

The American Academy of Pediatrics first recommended universal autism screening in 2007, and that recommendation is slowly being adopted across healthcare systems. When you look for something more often, you find it more often. Not because it's "spreading," but because we're paying better attention.

This is basic systems thinking. If you implement better monitoring tools in your production environment, you'll immediately detect more issues. It doesn't mean your application suddenly got buggier—you're just capturing data you were missing before.

Reason 6: Greater incentives

As more programs are created to support autistic people, there's more practical reason to go through the often difficult process of getting a diagnosis. Studies have found that autism diagnoses tend to cluster in geographic regions where there's available community support.

This makes perfect sense from a human perspective. If a diagnosis opens doors to needed services, people are more likely to pursue it. In places where diagnosis brings no benefits, underdiagnosis remains the norm.

Reason 7: Cultural stigma is lessening

Many people were once reluctant to pursue diagnosis for fear of judgment, discrimination, or in some extreme cases genocide and eugneics. Learning to mask became a matter of survival. That trend has reversed as increased openness and acceptance of neurodiversity has made it feel safer to seek out answers without fear of ostracism.

This shift mirrors what we've seen with other conditions like ADHD, depression, and anxiety. As stigma decreases, disclosure and diagnosis increase—not because more people have these conditions, but because fewer people are hiding them.

Why This Framing Matters

Talking about an autism "epidemic" carries problematic implications. It suggests autism is something to be feared, a disease spreading through the population. This feeds into harmful narratives that autistic people are defective or that autism is something that needs to be eliminated rather than accommodated and accepted.

It also misdirects research energy and funding. Instead of focusing on improving support systems and understanding autism better, resources get poured into finding "causes" and "cures" for a condition that many autistic self-advocates consider an integral part of their identity.

The Data Supports This View

Epidemiological studies consistently find that when accounting for the factors above, there's little evidence for a true increase in autism prevalence. A 2022 systematic review in JAMA Psychiatry found that most of the reported increase could be attributed to changes in diagnostic criteria, increased awareness, and reduction in stigma.

What This Means Going Forward

As our understanding continues to evolve, we should expect autism diagnosis rates to eventually plateau. We're likely getting closer to identifying the true prevalence that's always existed in the population.

The next frontier isn't stopping an "epidemic"—it's building systems and communities that support neurodivergent people in living fulfilling lives on their own terms.