Feminism

Nic doesn’t think that feminists understand statistics.

For example, if a study shows that women are generally paid less as compared to men doing the same job, some women get outraged.What they do is assume that they are under-paid as well.

It is the reverse problem to sample size meaningfulness. Most of the worry in statistics is if a small sample size is representative of the complete sample set, as it relates to measurement efficiency.

The feminism problem revolves around calculating the error bars required when drawing a meaningful conclusion for a small sample set (say one individual) based on the properties of the full sample set (say, all women in the country).

The truth is, all self-interested parties ignore statistics, error bars, and all other facts when it’s in their interests to do so.