In rating ease of description as very important, we are essentially asserting a belief in quantitative knowledge - a belief that most of the key questions in our world sooner or later demand answers to 'by how much?' rather than merely to 'in which direction?'

An approximate answer to the right question is worth far more than a precise answer to the wrong one.

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.

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.

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

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

The greatest value of a picture is when it forces us to notice what we never expected to see.

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.

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