Much of the orthodox LessWrongian approach to rationality (as it is expounded in Yudkowsky’s Sequences and onwards) is grounded in Bayesian probability theory. However, I now realize that pure Bayesianism is wrong, instead the right thing is quasi-Bayesianism. This leads me to ask, what are the implications of quasi-Bayesianism on human rationality? What are the right replacements for (the Bayesian approach to) bets, calibration, proper scoring rules et cetera? Does quasi-Bayesianism clarify important confusing issues in regular Bayesianism such as the proper use of inside and outside view? Is there rigorous justification to the intuition that we should have more Knightian uncertainty about questions with less empirical evidence? Does any of it influence various effective altruism calculations in surprising ways? What common LessWrongian wisdom does it undermine, if any?
Much of the orthodox LessWrongian approach to rationality (as it is expounded in Yudkowsky’s Sequences and onwards) is grounded in Bayesian probability theory. However, I now realize that pure Bayesianism is wrong, instead the right thing is quasi-Bayesianism. This leads me to ask, what are the implications of quasi-Bayesianism on human rationality? What are the right replacements for (the Bayesian approach to) bets, calibration, proper scoring rules et cetera? Does quasi-Bayesianism clarify important confusing issues in regular Bayesianism such as the proper use of inside and outside view? Is there rigorous justification to the intuition that we should have more Knightian uncertainty about questions with less empirical evidence? Does any of it influence various effective altruism calculations in surprising ways? What common LessWrongian wisdom does it undermine, if any?