>The 'financial-math-numbers-wizard' is absolutely the very rare exception. For the vast majority it is an extreme struggle, for both the child and their family

>The 'financial-math-numbers-wizard' is absolutely the very rare exception. For the vast majority it is an extreme struggle, for both the child and their family. I am a walking stereotype of this article. I do quantitative finance as a hobby, and yes, I've made a killing doing it, but for my day to day work I've have a history doing Data Science work and Software Engineering. On the side I'm infactuated with meta-learning, meta-cognition, metaphysics, psychology, and AI. When it comes to autistic training, I sometimes help people like myself, but thankfully, most people figure everything out on their own so no help is needed. I'm apart of a community of thousands of people who are on the spectrum in in Silicon Valley alone, and far more across the country. Less than 0.1% of us are diagnosed as autistic, primarily because there is no benefit in being diagnosed. We teach ourselves tricks like how to correctly look at others, how to pay attention to body language, how small talk works, and so on and so forth like professionalism. Because of this, when one is highly intelligent and autistic, no one can tell they're autistic, except other like minded individuals. The small fraction that are diagnosed are that way because paying attention to body language and facial expressions is not enough to look and act normal. I've worked with people who punch themselves while thinking, for example, but are brilliant otherwise. Psychological disorders are diagnosed by their disadvantages. If being highly intelligent and being able to self program, despite initially struggling at being well rounded and not being able to take social cues early on, is autism, then there is no reason to diagnose that kind of autism, because beyond initial disadvantages there are little to no disadvantages in later life. These kinds of autistic people are not recognizable, even to trained professionals, unless there is a good reason for them to be recognized, so there is going to be a bias towards what you can see, not what is actually there.