hoppoli

I see this comment frequently in this site and it doesn't provide any value. If this isn't part of the hackernews rules, I hope it becomes one soon.

American people: latinamerican here. Maybe it's silly to root for a country in the world hegemony arena. I've usually been partial to the USA over China. Now I'm not rooting for your country anymore. As far as I'm concerned, I'd rather have China being the foremost power, at least they seem to be less keen on invading or heavily strong-arming latinamerica

Statistical significance comes mostly from N (number of samples) and the variance on the dimension you're trying to measure[1]. If the variance is high, you'll need higher N. If the variance is low, you'll need a lower N. The percentage of the population is not relevant (N = 1000 might be significant and it doesn't matter if it's 1% or 30% of the population)

[^1] This is a simplification. I should say that it depends on the standard error of your statistic, i.e, the thing you're trying to measure (If you're estimating the max of a population, that's going to require more samples than if you're estimating the mean). This standard error, in turn, will depend on the standard deviation of the dimension you're measuring. For example, if you're estimating the mean height, the relevant quantity is the standard deviation of height in the population.