statistical significance is a very subtle topic that I'm not at all equipped to explain, but we can start with, "significance comes from sample size, and is independent of population size." If you flip a coin 26 times, you will establish its bias to a high degree of certainty, results that will hold if you flip the same coin a million more times.
if you are presented with a bag of a hundred coins, and another bag of a million coins, and you sample 26 of them from each bag and flip them, you will establish the same level of certainty about the bias of the coins in each bag. or something like that?
I'm sure there are people here who can explain it better than I can, my point is to say "don't question a sample size of 26 unless you really know what you are doing"
if you are presented with a bag of a hundred coins, and another bag of a million coins, and you sample 26 of them from each bag and flip them, you will establish the same level of certainty about the bias of the coins in each bag. or something like that?
I'm sure there are people here who can explain it better than I can, my point is to say "don't question a sample size of 26 unless you really know what you are doing"