The best thing about being a statistician is that you get to play in everyone's backyard.

Be approximately right rather than exactly wrong.

All we know about the world teaches us that the effects of A and B are always different-in some decimal place-for any A and B. Thus asking "are the effects different?" is foolish.

In a single sentence the moral is: admit that complexity always increases, first from the model you fit to the data, thence to the model you use to think about and plan about the experiment and its analysis, and thence to the true situation.

I know of no person or group that is taking nearly adequate advantage of the graphical potentialities of the computer.

The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data.

Far better an approximate answer to the right question, which is often vague, than the exact answer to the wrong question, which can always be made precise.