When it comes to lifting weights, I think the leading advice is to track the data for your weight lifting. The point isn’t to run t-tests about the effects of creatine but to see whether you are improving at the lifting exercise you are doing and changing exercises if you don’t. That’s data driven self improvement.
There are a lot more dwarfs than the normal distribution would predict. There are some genetic mutations that have a relatively small effect on height and some that have a really big effect. … I think if you are doing data driven self improvement, you do care about the outliers in data that are driven by the equivalent of the genetic mutation for dwarfism. If you just see them as noise, I don’t think that’s helpful.
Those are good points. Let me expand conclusion to clarify what I mean in my article and what I don’t mean—when data driven approach is helpful
This is a good point. I have very similar experience :) Let me edit conclusion section to clarify when data-driven approach is helpful.