this post was submitted on 08 Aug 2025
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It’s my understanding that sample size isn’t important to compare statistics.
A suitably large sample size is needed, but after a certain amount of samples, any added one will not provide much more security about the statistic. I think usually to be considered empirically important you try to get 100-300 samples. The rule of thumb for accuracy of a given statistic is 1/n, where n is the amount of samples.
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