Where I have landed on Sample size intuition, having got it wrong once in public: the direction is clear, the magnitude is not, and anyone quoting a precise magnitude has borrowed it from somewhere that did not measure it.
Topic summary
Sample size intuition for a personal experiment — does this still hold?
This is a generated summary. It shows the 6 most-liked posts from a topic of 39, in their original order, with the accepted answer included where one exists. It is a reading aid and it will miss nuance — the full topic is the record.
m.strand_rph, post #2: Building on the opening post rather than restating it. Worth separating Sample size intuition as a question about the compound from Sample size intuition as a question about the documentation. They get answered by different people and only one of them is answerable here. Go to post
A p-value is the probability of data at least this extreme given the null hypothesis. It is not the probability the hypothesis is false, and almost every plain-language gloss gets that backwards.
33 likes 3mo
Quietly grateful for the plain phrasing. Not every thread gets that.
32 likes 2mo
Number needed to treat: how many people need to be treated to prevent one bad outcome or achieve one good outcome. More intuitive than relative risk reduction.
Not the whole picture, but the part of it I can speak to.
25 likes 2mo
Read the full topic (39 posts)
Moved from N-of-1 designs by dr_okonkwo. Category placement is not obvious from outside and getting it wrong is expected. This topic will get better answers here. The move is recorded in the public log citing R7.
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