This is all Gwern, I won’t add another layer of indentation:
Some questions which are not necessarily important, but do puzzle me or where I find standard answers to be unsatisfying (along the lines of Patrick Collison’s list & Alex Guzey; see also my list of project ideas):
- What is
personal productivityand why does it vary from day to day so strikingly, and yet not correlate with environmental variables like weather or sleep quality nor appear as the usual kind of latent variable in my factor analyses? Is it something much weirder than the usual kind of latent variable, like a set of zero-sum measurements drawing on a generic pool of
- Does listening to music while working serve as a distraction, or motivation?
- What, algorithmicly, are mathematicians doing when they do math which explains how their proofs can usually be wrong but their results usually right?Is it equivalent to a kind of tree search like MCTS or something else? They wouldn’t seem to be doing a literal tree search because then there would almost never be mistakes in the proof (as the built-up tree of theorems only explores valid inferential steps), but if they’re not, then how are they handling
logical uncertainty? Are they doing something like MCTS’s random playouts where lemmas are not proven but simply heuristically given a truth value to shortcut exploration and the heuristic is accurate enough to usually guess correctly and this is why the proofs are wrong but the results are right?
- Why did Jean Calment live so many more years than other centenarians, breaking all records and setting a life expectancy record which decades later has not just not been broken, but not even approached? Which is extraordinary considering that she smoked, medicine has continuously advanced, the global population has increased, life expectancy in general has increased, and the Gompertz curve implies that, with mortality rates approaching 50%, centenarians should die like flies and ever closer in age to each other and not have occasional enormous permanent 3 year gaps between the record setter (Calment) and everyone since then.
- Why do humans, pets, and even lab animals of many species kept in controlled lab conditions on standardized diets appear to be increasingly obese over the 20th century? What could possibly explain all of them simultaneously becoming obese?
- What happened to the famous genome sequencing cost curve after late 2012, which stopped price decreases, damaged genetics, and delayed the advent of whole-genome sequencing by perhaps a decade? Was it really just the Illuminati’s fault?
- Why do humans have such a large mutation load on common genetic variants? Common SNPs make up a large fraction of variance, even for traits which must be fitness-affecting.
Culture or technology slow evolutiondoesn’t wash when human fitness differentials are so large and so many people died young or as infants, and how did the many deleterious variants get pushed up to such high frequencies in the first place?
- Why does the immune system so often surface as a genetic correlation or tissue enrichment in GWASes for many things not generally believed to be infectious? Are we missing an enormous range of infections directly causing bad things (or indirectly through autoimmune mechanisms), or the immune system just sort of like intelligence in being a general health trait?
- Why does catnip response vary so much across countries in domestic cats, and also across feline species, with no apparent phylogenetic or environmental pattern? It is so heritable in domestic cats that a genetic reason is plausible, but if it’s adaptive, what is it doing when catnip doesn’t exist in the ranges of most tested cats, and if it’s neutral why can so many closely-different different animals respond to it in different ways?