[libraryofbabel]

I agree with all of this. Many is time I've had to tell developers I work with: "don't just look at the mean/median, look at a graph of the full distribution!... then slice your distribution a lot of different ways by all the tags/facets you have and look again at the slices." Often you find that a shift in the mean or median was driven by one particular class of data points that skewed the whole thing. (Looking at you, NVDA.) This is usually a little lecture I give in the context of performance engineering, where it's api response times or whatever, but it applies everywhere.

At the same time - and I think you agree with this and it's probably implicit in your comment - we have to beware of anecdata as well. "Two of my friends asked me for money" means very little, except that your friend group is having a rough time. The meso-scale, your "high resolution 2d data", is where to look if you want a textured picture of what's really going on while at the same time avoiding observer bias. Unfortunately, that kind of data is not always easy to get, or to interpret.