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01 / 05
The Myth of the “Autism Epidemic”

Blog Post | Health & Demographics

The Myth of the “Autism Epidemic”

Most new cases reflect mild or no significant impairment. Moderate and severe cases have declined.

Summary: The perceived “autism epidemic” is largely driven by broadened diagnostic criteria and increased identification of mild, non-impairing cases rather than a true increase in severe autism. Cultural and institutional factors—like overdiagnosis and shifting norms in child psychiatry—play a significant role. Public health efforts are being misdirected by alarmist narratives and should instead focus on genuine health crises and more consistent, clinically meaningful diagnostic standards.


For years, public health debate has often fixated on a supposed rise in the prevalence of autism. Various culprits have been named, including the well-investigated but unsubstantiated claim that vaccines cause autism. More recently, additional risk factors have been proposed — many by Health Secretary Robert F. Kennedy Jr. — including maternal Tylenol use, food dyes and additives, chemical manufacturing agents and other possible stressors affecting perinatal development. Concerns about autism have been spotlighted within the larger Make America Healthy Again movement, motivated by a well-founded alarm over the nation’s devastatingly high burden of chronic disease and psychiatric illness. But there is a bigger problem with the autism epidemic: It doesn’t exist.

Autism diagnoses have indeed risen dramatically in recent decades. The most recently released Centers for Disease Control and Prevention report on autism, which was published in April last year, revealed a nearly five-fold increase in the prevalence of autism between 2000 and 2022, from 67 to 322 cases per 10,000 children. However, diagnostic criteria can change even when the underlying health phenomenon remains unchanged. A large-scale study published in December, drawing on CDC data from 24,669 8-year-olds across the country, suggests that the dramatic rise in autism diagnoses may be entirely driven by children with mild symptoms and no significant functional impairment. Between 2000 and 2016, there was a 464 percent increase in diagnoses among children with no significant functional impairment whatsoever. In fact, during the same time period, there was a 20 percent decrease in the prevalence of moderate or severe autism, from 15 to 12 cases per 10,000 children.

There is often a lag of several years before such epidemiological datasets are released, and years more for researchers to perform statistical analyses, publish the findings and enter public policy discussions. We do not yet have data more recent than 2016 breaking down symptoms by severity level while controlling for other psychological factors such as intellectual disability. However, given the trends observed between 2000 and 2016, it is highly unlikely that the additional 74 percent increase in autism diagnoses between 2016 and 2022 reflects a sudden surge in severe, functionally impairing autism. Rather, it is more likely a continuation of the same problem of overrepresentation among children with mild symptoms and no significant functional impairment.

Despite that, some advocates support the narrative that autism is on the rise, because an ever-expanding “spectrum” that produces more diagnoses draws more attention and research funding — even if children’s underlying psychology remains unchanged.

Some of the CDC’s data documenting the supposed rise in the characteristics of autism, meanwhile, comes not from gold-standard in-person psychiatric assessments but from parent-reported surveys such as the Social Responsiveness Scale. The SRS includes statements such as “Would rather be alone than with others,” “Has difficulty making friends,” and “Is regarded by other children as odd or weird,” which parents rate from “Not true” to “Almost always true.” In my own doctoral research on adolescent mental health, I included the SRS to account for the extent to which other psychological outcomes were explained by social difficulties. However, I was always careful to use hedging language — these are behavioral traits known to be associated with autism, not diagnostic markers. Unfortunately, many studies use high scores on the SRS as a substitute for clinical assessment of autism — accounting, for example, for at least 12 percent of “suspected cases” in the 2022 CDC data.

We should be concerned about the rising number of quirky children “on the spectrum,” but not because they are being exposed to neurotoxins that older generations were insulated from, nor because a growing number of children face clinicallysignificant social impairment. Rather, as Abigail Shrier argues in her 2024 book “Bad Therapy,” the more pressing concern may be a cultural and institutional drift toward overdiagnosis across child psychiatry. Like the rise in attention-deficit/hyperactivity disorder, anxiety and depression diagnoses among young people, the surge in autism labels may reflect shifting norms, looser diagnostic criteria and excess therapeutic attention directed toward ordinary struggles. If autism were truly increasing because of a new environmental insult, we would expect to see increases across all levels of severity. But that is not the case.

This reality should fundamentally reshape our national conversation. Policymakers and public health officials have rallied around dramatic claims fueled more by fear than by evidence. Yes, America faces a real crisis of chronic disease — including obesity, metabolic dysfunction and autoimmune disorders — which plausibly could be impacted by environmental toxins. Yes, many children face real mental health challenges that warrant increased attention and psychiatric support. But neither of these narratives survives scientific scrutiny when applied to the rise in autism diagnoses.

When public discourse starts from an alarming headline — “Autism rates have quadrupled” — even careful scientists can be pressured into chasing explanations for a biological phenomenon that doesn’t exist. The result is a misallocation of scientific effort and a blurring of the real signals of environmental harm. In many cases, the kid labeled “on the spectrum” is the same train‑obsessed third‑grader your grandfather knew, only now he’s been assigned a diagnosis. Let’s instead direct public health toward real, ongoing health crises and insist on psychiatric criteria that are consistent, unexaggerated and clinically meaningful.

A version of this article was published at the Washington Post on 2/10/2026.

Forbes | Noncommunicable Disease

Sudan and South Sudan Eliminate Maternal and Neonatal Tetanus

“Neonatal tetanus, a silent but preventable killer, claims the lives of newborns within their first days of life, particularly in settings with unsafe delivery practices and poor umbilical cord care. Through successful vaccination campaigns, both South Sudan and Sudan have achieved Maternal and Neonatal Tetanus Elimination (MNTE), a significant public health milestone.”

From Forbes.

Medical Xpress | Vaccination

mRNA-1010 Superior to Standard-Dose Vaccine for Preventing Flu

“For adults aged 50 years or older, an investigational messenger RNA (mRNA)-based vaccine (mRNA-1010) is superior to standard-dose licensed vaccines for preventing influenza-like illness, according to a study published in the New England Journal of Medicine

Overall, 20,350 participants received mRNA-1010 and 20,353 received the standard-dose comparator. The researchers found that 2.0% and 2.8% of the recipients of mRNA-1010 and the standard-dose comparator, respectively, had RT-PCR-confirmed, protocol-defined influenza-like illness, corresponding to a relative vaccine efficacy of 26.6% and meeting the criteria for noninferiority, superiority, and higher-level superiority. Solicited adverse reactions occurred more often with mRNA-1010 than the standard-dose comparator; they were mainly mild-to-moderate and transient. Overall, 2.2% and 1.9% of recipients of mRNA-1010 and the standard-dose comparator, respectively, had serious adverse events.”

From Medical Xpress.

Harvard Gazette | Mental Health

Teen, Young Adult Suicides Fall After Crisis Hotline Shifts to Three Digits

“Suicide deaths among young adults and youth declined after a federal agency simplified the phone number for a national crisis hotline and increased resources, a new study says…

Patel, a clinical fellow in surgery at Harvard Medical School and surgical resident at Brigham and Women’s Hospital, said that when researchers first examined figures for all age groups, the lifeline’s potential impact appeared to be slight.

But when they broke down the data, they saw a significant decline among those age 15 to 34 — encompassing the high-risk teenage years — that had been masked by results in other groups.

The researchers noted a decline from both observed suicide deaths in 2022 and from predictions based on a long-term upward trend. In 2010, about 11 suicides per 100,000 were reported in that age group. By 2022, that had risen to nearly 18 per 100,000. Three years after the 988 number went online, however, that had fallen to approximately 15 per 100,000, according to the study…

In addition to the nationwide figures, state-by-state data also shows an association with the establishment of the 988 number.

The 10 states with the largest increases in calls after its establishment — 146.2 percent more — also saw a larger decline in suicide deaths, about 18.2 percent. The 10 states with the lowest call volume increase — about 23.6 percent — saw a lower, 10.6 percent decline.”

From Harvard Gazette.

Science | Health Systems

AI Is Starting to Beat Doctors at Making Correct Diagnoses

“If you walk into an emergency room (ER) in 10 years, you’ll encounter a new type of caregiver: an artificial intelligence (AI) system designed to get you a diagnosis faster and help your care team make more informed decisions. While you sit in the waiting room, you’ll be hooked up to a blood pressure cuff that’s constantly and autonomously monitored. All the while, an AI agent will be listening in while you and your doctor talk about your symptoms, ready to flag any mistakes your physician makes or suggest next steps.

This vision of AI-assisted emergency health care may soon be reality. In a new study, researchers show that a type of AI known as a large language model (LLM) often outperformed physicians at diagnosing complex and potentially life-threatening conditions, including decreased blood flow to the heart, even in the fast-moving stages of real ER care when information is limited, they report today in Science. In early ER cases, the model identified the correct or a very close diagnosis in about 67% of cases, compared with roughly 50% to 55% for physicians. And the technology is only getting better.”

From Science.