When you spend time trying out the 1000 popular hacks doing you no good, then you lose. You lose all the time and energy invested in the enterprise, for which you could find a better use.
How do you know anything works, before even thinking about what in particular to try out? How much thought, and how much work is it reasonable to use for investigating a possibility? Intuition, and evidence. Self-help folk notoriously don't give evidence for efficacy of their procedures, which in itself looks like evidence of absence of this efficacy, a reason to believe that you'll only waste time going through the motions. My intuition agrees.
A deep theory is both a tool for constructing unusually powerful techniques, and a way to signal a nontrivial probability of viability of the techniques even prior to experimental testing.
Self-help folk notoriously don't give evidence for efficacy of their procedures
Anecdotal evidence is still evidence.
Note that one of EY's rationality principles is that if you apply arguments selectively, then the smarter you get, the stupider you become.
So, the reason I am referring to this cross-pollination of epistemic standards to an instrumental field as being "dumbass loser" thinking, is because as Richard Bach once put it, "if you argue for your limitations, then sure enough, you get to keep them."
If you require that the "...
Reply to: Practical Advice Backed By Deep Theories
Inspired by what looks like a very damaging reticence to embrace and share brain hacks that might only work for some of us, but are not backed by Deep Theories. In support of tinkering with brain hacks and self experimentation where deep science and large trials are not available.
Eliezer has suggested that, before he will try a new anti-akraisia brain hack:
This doesn't look to me like an expected utility calculation, and I think it should. It looks like an attempt to justify why he can't be expected to win yet. It just may be deeply wrongheaded.
I submit that we don't "need" (emphasis in original) this stuff, it'd just be super cool if we could get it. We don't need to know that the next brain hack we try will work, and we don't need to know that it's general enough that it'll work for anyone who tries it; we just need the expected utility of a trial to be higher than that of the other things we could be spending that time on.
So… this isn't other-optimizing, it's a discussion of how to make decisions under uncertainty. What do all of us need to make a rational decision about which brain hacks to try?
(can these books be judged by their covers? how does this chance vary with the type of exposure? what would you need to do to understand enough about a hack that would work to increase its chance of seeming deeply compelling on first exposure?)
… and, what don't we need?
How should we decide how much time to spend gathering data and generating estimates on matters such as this? How much is Eliezer setting himself up to lose, and how much am I missing the point?