There are three kinds of lies: lies, damned lies, and statistics.

All models are wrong, but some are useful.

...while the individual man is an insoluble puzzle, in the aggregate he becomes a mathematical certainty.

Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write!

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

Say you were standing with one foot in the oven and one foot in an ice bucket. According to the percentage people, you should be perfectly comfortable.

While the individual man is an insoluble puzzle, in the aggregate he becomes a mathematical certainty. You can, for example, never foretell what any one man will be up to, but you can say with precision what an average number will be up to. Individuals vary, but percentages remain constant. So says the statistician.

All generalizations are false, including this one.

Figures don't lie, but liars figure.

Torture numbers, and they'll confess to anything.

Statisticians, like artists, have the bad habit of falling in love with their models.

To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of.

If your experiment needs statistics, you ought to have done a better experiment.

To understand God's thoughts, one must study statistics, for these are the measure of His purpose.

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

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

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.

It is a capital mistake to theorize before one has data.

Definition of a Statistician: A man who believes figures don't lie, but admits than under analysis some of them won't stand up either.

Those who ignore Statistics are condemned to reinvent it.

or simply: