There is a quote from John Tukey in one of his papers on data analysis
Far better an approximate answer to the right question, which is often vague, than an exact answer to the wrong question, which can always be made precise.
Does something similar hold in the OR community as well, in general?
As an example, suppose a complex problem which is hard to model and optimize, is it better to try and get an approximate solution of the exact problem, or is it better to try and simplify/approximate the problem such that it can be solved exactly?