
"How much do you believe your results?" by Eric Neyman
LessWrong (Curated & Popular)
00:00
The Effect of Altruism on Intervention Quality
For a noisy study, the answer may well be pretty much not at all. Working hard to reduce the amount of noise in your measurements is super important for getting useful results. If there's only been one attempt to estimate the effectiveness of some intervention, you probably shouldn't put much stock into it unless it's really well done. And here are some questions to ponder. Are real world measurements more like the first kind of unbiased or the second kind? Or are they both noisy and partial? Or does it depend? And three C? To what extent do the lessons of this post generalize to partial measurements? I hope to write about some of these questions soon.
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