The current tag except (and description) of hypothesis-testing reads
Hypothesis testing assesses whether data are inconsistent with a given hypothesis rather than being an effect of random fluctuations.
It seems to me this is a false dichotomy, as data can often be considered outcomes of a random data generating process regardless of whether $H_0$ holds or not. I wonder if we could get a better excerpt (and description).
I do not feel competent enough to write a really good excerpt myself, but we do have highly competent users around; maybe they will find my concern valid and will chip in.