Anyway you do science can turn out to be usually good but systematically wrong in some way you didn’t test. Most placebo-blind studies are build on questionable assumptions about how blinding works.
jessicata does according to their profile work in “decision theory, social epistemology, strategy, naturalized agency, mathematical foundations, decentralized networking systems and applications, theory of mind, and functional programming languages”.
In a field like theory of mind there’s not knowledge that verified to standards that would satisfy a physicist. The knowledge you can have is less certain. In comparison to the other knowledge sources that are available increasing your ability of self introspection is a good help at building knowledge about the field.
The whole apparatus of science is about reducing the opportunities for being systematically wrong in ways you didn’t test. Sure, it doesn’t always work, but if there’s a better way I don’t think the human race has found it yet.
If knowledge is much harder to come by in domain A than in domain B, you can either accept that you don’t get to claim to know things as often in domain A, or else relax what you mean by “knowledge” when working in domain A. The latter feels better, because knowing things is nice, but I think the former is usually a better strategy. Otherwise there’s too much temptation to start treating things you “know” only in the sense of (say) most people in the field having strong shared intuitions about them in the same way as you treat things you “know” in the sense of having solid experimental evidence despite repeated attempts at refutation.
Anyway you do science can turn out to be usually good but systematically wrong in some way you didn’t test. Most placebo-blind studies are build on questionable assumptions about how blinding works.
jessicata does according to their profile work in “decision theory, social epistemology, strategy, naturalized agency, mathematical foundations, decentralized networking systems and applications, theory of mind, and functional programming languages”.
In a field like theory of mind there’s not knowledge that verified to standards that would satisfy a physicist. The knowledge you can have is less certain. In comparison to the other knowledge sources that are available increasing your ability of self introspection is a good help at building knowledge about the field.
The whole apparatus of science is about reducing the opportunities for being systematically wrong in ways you didn’t test. Sure, it doesn’t always work, but if there’s a better way I don’t think the human race has found it yet.
If knowledge is much harder to come by in domain A than in domain B, you can either accept that you don’t get to claim to know things as often in domain A, or else relax what you mean by “knowledge” when working in domain A. The latter feels better, because knowing things is nice, but I think the former is usually a better strategy. Otherwise there’s too much temptation to start treating things you “know” only in the sense of (say) most people in the field having strong shared intuitions about them in the same way as you treat things you “know” in the sense of having solid experimental evidence despite repeated attempts at refutation.