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.

It's better to solve the right problem approximately than to solve the wrong problem exactly.

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.

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.

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

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

Numerical quantities focus on expected values, graphical summaries on unexpected values.