The results are based on a grand total of 25 people in the psilocybin group and 21 people in the SSRI group. The sample size is pretty small. The methodology is also kind of strange, the psilocybin group got a total of 20 hours of in-person therapy during their 'treatment' and 6 follow-up skype calls, whereas the SSRI didn't get anything other than the 6 month questionaire. Those 20 hours of personalized therapy whil…
> The results are based on a grand total of 25 people in the psilocybin group and 21 people in the SSRI group. Statistical significance is based on sample size, and is independent of population size. Let that sink in, doesn't matter if your population is 100K or 8 billion, when you sample you are trying to understand the probabilities in your sample, not in the population. Therefore, (think about the birthday paradox…
This response on the supposed the lack of importance of a sample size is completely wrong on just about every claim. The parent comment had a valid point. Just because a population may fit a certain distribution, does not mean that any given sample size will also fit that distribution. Samples are used to ideally create a representative group of a population, that is smaller than the population. However, the sample size required to come close to a representative distribution can vary between populations and variables being examined. Also, using the birthday paradox is a terrible example and has nothing to do with statistical significance, as the so-called birthday paradox is just a simple function.