Whenever we are studying data, our default habit is to go to what’s working best.
However, this makes us miss a very important metric:
Is what causing the best performance also responsible for the worst performance? Does this mean there is an unseen factor that is driving the best and the worst?
If the inverse is also true, perhaps it is a good time to question what is actually true.