This episode explores the dramatic rise in autism diagnoses, examining the complexities behind the increasing numbers and questioning the accuracy of the data. Against the backdrop of a 270% increase in child autism diagnoses and a 400% rise in waiting lists for specialists in England, the discussion delves into the definition of autism itself, highlighting the DSM criteria and the spectrum of severity levels. More significantly, a study analyzing data from 9 million patients in England revealed an 800% increase in diagnoses between 1998 and 2018, a trend mirrored in other European countries and the US. However, research also uncovered significant underdiagnosis in older age groups, with estimates suggesting hundreds of thousands of undiagnosed individuals. For instance, one study found diagnostic rates 150 times higher in teenagers than in the elderly, raising questions about the reliability of current diagnostic practices and the potential for miscounting. In contrast to the initial perception of a rising prevalence of autism, the episode suggests that a significant portion of the increase may be attributed to improved diagnostic methods and a broader understanding of the condition. Ultimately, this raises concerns about the accuracy of the data and what this means for our understanding of autism prevalence and the support systems available to those affected.