The every day world is roughly inexploitable, and very data rich. The regions you would expect rationality to do well in are the ones where there isn’t a pile of data so large even a scientist can’t ignore it. Fermi Paradox, AGI design, Interpretations of Quantum mechanics, Philosophical Zombies, ect.
I think I would add to this, “domains where there is lots of confusing/ conflicting data, where you have to filter the signal from the noise”. I’m thinking of fields where there are many competing academic positions like macroeconomics, or nutrition, or (of highest practical relevance) medicine.
Many of Scott Alexander’s posts, for instance are a wading into a confusing morass of academic papers and then using principles of good reasoning to figure out, as best he/we can, what’s actually going on.
I think I would add to this, “domains where there is lots of confusing/ conflicting data, where you have to filter the signal from the noise”. I’m thinking of fields where there are many competing academic positions like macroeconomics, or nutrition, or (of highest practical relevance) medicine.
Many of Scott Alexander’s posts, for instance are a wading into a confusing morass of academic papers and then using principles of good reasoning to figure out, as best he/we can, what’s actually going on.