Quotes in data
Where there is fear you do not get honest figures.
When we have a fact-based worldview, we can see that the world is not as bad as it seems - and we can see what we have to do to keep making it better.
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.
Since all models are wrong the scientist cannot obtain a "correct" one by excessive elaboration. On the contrary following William of Occam he should seek an economical description of natural phenomena. Just as the ability to devise simple but evocative models is the signature of the great scientist so overelaboration and overparameterization is often the mark of mediocrity.
An operational definition is a procedure agreed upon for translation of a concept into measurement of some kind.
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.
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.
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.
Half the money I spend on advertising is wasted; the trouble is I don't know which half.