Who has never been in the situation that he had a set of data where some of them just didn’t seem to fit. A simple adjusting of the numbers or omitting of strange ones could solve the problem. Or so you would think. I certainly have been in such a situation more than once, and looking back, I am glad that I left the data unchanged. At least in one occasion my “petty” preformed theory proved to be wrong and the ‘strange data’ I had found were corresponding very well with another concept that I hadn’t thought of at the time.
Via MyScienceWork, SEEd Medical Publishing