An approximate answer to the right problem is worth a good deal more than an exact answer to an approximate problem.

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.

Be approximately right rather than exactly wrong.

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.

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.

When communicating results to non-technical types there is nothing better than a clear visualization to make your point.

Visualization is often used for evil - twisting insignificant data changes and making them look meaningful. Don't do that crap if you want to be my friend. Present results clearly and honestly. If something isn't working - those reviewing results need to know.