> People with ADHD - and their parents and teachers - should therefore embrace their individuality as a kind of reservoir talent in the human gene pool.
Being a researcher with ADHD I find academia very very weird. I feel like my ADHD (and others I know) should be a superpower. Loving to dig down into rabbit holes and a bunch of different topics, which can allow connecting different things. Not needing reasons to go down the rabbit holes, but just because. Meaning you explore things others don't.
But actually academia is incredibly stressful and feels hostile. There's the publish or perish, so you can't go down the rabbit holes and deep dive. You don't have time to dig deep. Dealing with review is crazy as you have to argue to people who don't care that your stuff matters even though no one can tell if it does or not and you should just pursue knowledge for knowledge's sake. (We used to not review this way. We used to check for errors and plagiarism and if not, publish). Everything is just hyper metric focused even though everyone knows the metrics mean so little to the actual end goal they are everything to your survival goals. The goals are at odds and I don't think anyone wants to do anything about it even though many will admit it.
I know some people will say I'm naive to think academia should work that way but I think that's naive, so we'll have to agree to disagree. I think academia should be about pursuing knowledge and giving people the environment they need to do that, with the trade being teaching the future generations.
To be honest it feels the world is becoming more hostile to me. There is becoming less flexibility. Fewer opportunities to explore and hire punishments for doing so. Its harder to take things apart (physical or code) as the gardens close more and more. Harder to fix things, harder to make things to things I want (for utility and for fun). It literally feels like the walls are closing in and there's not enough adderal that can fix that.
I think you are right that the chaos helps escape local minima. If I've learned anything in my studies it's that noise is essential in optimization theory. It is also a measurement of error or uncertainty. So unless you can measure something to infinite precision then you should be incorporating noise into your models