Quotes in data
The researcher hoping to break new ground in the theory of experimental design should involve himself in the design of actual experiments. The investigator who hopes to revolutionize decision theory should observe and take part in the making of important decisions.
Remember that all models are wrong; the practical question is how wrong do they have to be to not be useful.
A man in daily muddy contact with field experiments could not be expected to have much faith in any direct assumption of independently distributed normal errors.
I do not deny that most managers lack a good deal of information that they should have, but I do deny that this is the most important informational deficiency from which they suffer. It seems to me that they suffer more from an overabundance of irrelevant information.
An operational definition is a procedure agreed upon for translation of a concept into measurement of some kind.
No one can measure the loss of business that may arise from a defective item that goes out to a customer.
The thing I have noticed is when the anecdotes and the data disagree, the anecdotes are usually right. There's something wrong with the way you are measuring it.
When you see data, doubt [them]! When you see measurements, doubt them!
In the spirit of science, there really is no such thing as a "failed experiment." Any test that yields valid data is a valid test.