Male, 26; Belgrade, Serbia. Graduate student of software engineering. Been lurking here for a few months, reading sequences and new stuff through RSS. Found the site through reddit, likely.
Self-diagnosed (just now) with impostor syndrome. Learned a lot from reading this site. Now registered an account to facilitate learning (by interaction), and out of desire to contribute back to the community (not likely to happen by insightful posts, so I’ll check out the source code).
If you are envisioning some sort of approximation of Bayesian reasoning, perhaps one dealing with an ordinal set of probabilities, a framework that is useful in everyday circumstances, I would love to see that suggested, tested and evolving.
It would have to encompass a heuristic for determining the importance of observations, as well as their reliability and general procedures for updating beliefs based on those observations (paired with their reliability).
Was such a thing discussed on LW?