I have seen people in physics and other physical sciences work with statistics. My sense is that the less someone has to worry about "measurement error", the l

I have seen people in physics and other physical sciences work with statistics. My sense is that the less someone has to worry about "measurement error", the less intuitive statics seems to them. For example, in some areas of research, once you have the right instrument take measurements, you can just plot the results, and your measurements (or some transformation of them) will show up as a linear function of whatever you manipulated. But really, I'm not totally sure what you mean, since in any situation where there's uncertainty, it makes sense to me that you'd want to try to capture that uncertainty in your analysis, and that's statistics. Make those analyses more complex (e.g. taking measurements from a field with obvious spatial dependence between measures), and the models become more complex too.