When we build a statistical-physical model, generally, a simpler model can be justified when the range of data-values is smaller.
I can't be the first person to use this idea, but I also can't find it mentioned anywhere.
As a simple example of what I am talking about, consider a falling rock. If the rock only falls one metre, then a constant constant-acceleration model is probably useful. If the rock falls a kilometre, then I likely need to consider aerodynamics. If the rock falls 1000 kilometres, orbital-mechanics will need to be there.
My actual situation doesn't involve falling rocks, but I do suggest limiting the range of data-values as a means of managing the required complexity of a model.
Can anybody recall a name for the concept - or suggest a reference?