6/ It would follow that on the left tail of the spectrum there are those who tend to overweight context over details in their cognitive processing.
These people would do poorly at tasks where context is noise and details are signal, such as mathematics and computer science.
7/ Why is the left tail of the spectrum invisible?
I believe it's because if one is bad at social interactions, it's easy to see it as a red flag for a condition, whereas if one is bad at maths, it's plausible to guess that "he's lazy" or "he didn't study".
8/ To clarify. I'm not saying that if one is bad at math, then he is on the left side of the spectrum.
I'm saying that being on the left side of the spectrum would be a possible cause of impairment at maths but not the only one: also bad teachers, no study, no engagement, etc.
9/ Conversely, we are all exposed to a much higher quantity of social interactions than math exercises, and we can rarely ignore it all.
Hence the higher likelihood that if someone is really bad at social interactions, it might be because he's on the right side of the spectrum.
10/ A second clarification. It is a spectrum, not a binary or trinary classification.
Also, there is some degree of adaptation. If someone is just a bit off the average, he can learn to compensate. But if someone is too distant from it, it's hard if not impossible.
11/ A third clarification. The tails are not necessarily symmetric. Nor the bell must necessarily have this shape. Pardon my poor Powerpoint skills.
12/ That said, I think we should at least consider the possibility that the spectrum of conditions associated with autism is two-tailed.
Why does it matter?
13/ If autism-related conditions were indeed an impairment in processing information with a context/detail ratio that is too far off to one's "focus point", then more attention should be given to providing information that isn't noisy to the recipient.
14/ It would follow that, for effective communication, we should strive to convey as much as possible the important information in the context for the benefit of those on the left tail, and as much as possible in the details for those on the right tail.
However…
15/ However, this would be hard if not impossible to do, if people on different tail have opposite focuses.
Hence, the impossibility of "one fits all" and the need to acknowledge that different communication styles are needed
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2/ First of all, this is a Roam Book (rBook). It is a new format that integrates with your notes, allows for non-linear exploration of its contents, and more. You can read more about it on roam-books.com
A quick overview of #ergodicity, using plain language and down-to-earth examples.
A talk on Saturday the 13th of March.
Attendance is free but registration is mandatory: gum.co/ergodicitytalk
The idea is to make the concept as accessible at possible, so I won’t use any maths beyond 3rd grade, and will focus on examples not from investing but from everyone’s life.
Attendance is FREE even though it’s a Gumroad link.
It’s a Gumroad link because I offer a bundle “talk + book”, but if you want to just hear me the talk, you can register for free. I’m experimenting to see if this format is sustainable.
TROLLEY PROBLEMS We spend too much time on deciding which way to pull the lever, and not nearly enough time on slowing trolleys down and asking ourselves "why are there people bound to the tracks"?
Thread with examples, 1/N
2/ One example: should Trump be banned? Was the election stolen?
These are lever questions.
The trolley question is: how come fraud and/or "changing the rules at the last minute" are plausible?
3/ It's important to focus on trolley questions, because pulling a lever doesn't stop the trolley – it will keep being a problem in the future.
I’ve personally consulted for a pharma company on biological contamination due to behavioral mistakes (though at lower security levels than the labs involved here) and, based on my experience, I find very plausible that one day a rushed or tired employee makes a misstep.
Of course, I would like to believe that after SARS, protocols for way stronger.
But I also believe that virological labs will have leaks again, eventually. Not if, but when.
Let me understand. It took hundreds of thousands of years to understand that cows can contribute to greenhouse gases, but a few years of small-scale development of lab-grown meat are enough to say it doesn’t have negative side-effects?
Also: the side-effects of something (not just the product, but the infrastructure needed to produce it, it’s byproducts etc) are different whether it’s “lab-studied” and “industrialized. Small scale and large scale can’t be equated.