Don't Revere The Bearer Of Good Info
Follow-up to: Every Cause Wants To Be A Cult, Cultish Countercultishness One of the classic demonstrations of the Fundamental Attribution Error is the 'quiz study' of Ross, Amabile, and Steinmetz (1977). In the study, subjects were randomly assigned to either ask or answer questions in quiz show style, and were observed by other subjects who were asked to rate them for competence/knowledge. Even knowing that the assignments were random did not prevent the raters from rating the questioners higher than the answerers. Of course, when we rate individuals highly the affect heuristic comes into play, and if we're not careful that can lead to a super-happy death spiral of reverence. Students can revere teachers or science popularizers (even devotion to Richard Dawkins can get a bit extreme at his busy web forum) simply because the former only interact with the latter in domains where the students know less. This is certainly a problem with blogging, where the blogger chooses to post in domains of expertise. Specifically, Eliezer's writing at Overcoming Bias has provided nice introductions to many standard concepts and arguments from philosophy, economics, and psychology: the philosophical compatibilist account of free will, utility functions, standard biases, and much more. These are great concepts, and many commenters report that they have been greatly influenced by their introductions to them at Overcoming Bias, but the psychological default will be to overrate the messenger. This danger is particularly great in light of his writing style, and when the fact that a point is already extant in the literature, and is either being relayed or reinvented, isn't noted. To address a few cases of the latter: Gary Drescher covered much of the content of Eliezer's Overcoming Bias posts (mostly very well), from timeless physics to Newcomb's problems to quantum mechanics, in a book back in May 2006, while Eliezer's irrealist meta-ethics would be very familiar to modern philosophers
Consider the investments in AI by people like Jaan. It's possible for them to increase funding for the things they think are most helpful by sizable proportions while increasing capital for AI by <1%: there are now trillions of dollars of market cap in AI securities (so 1% of that is tens of billions of dollars), and returns have been very high. You can take a fatalist stance that nothing can be done to help with resources, but if there are worthwhile things to do then it's very plausible that for such people it works out.