From JSM 2014: Steven Stigler's Seven Pillars of Statistics

The full list plus explanations can be found here.

In response to those that fall in the "more data means we don't have to worry about anything camp":

The law of diminishing information: If 10 pieces of data are good, are 20 pieces twice as good? No, the value of additional information diminishes like the square root of the number of observations, which is why Stigler nicknamed this pillar the "root n rule." The square root appears in formulas such as the standard error of the mean, which describes the probability that the mean of a sample will be close to the mean of a population.

I have noticed lately that when I tell people they might be better off with a well-collected sample, rather than trying to get "all the data" they look at me like I've lost my mind.

Then there's this:

Design: R. A. Fisher, in an address to the Indian Statistical Congress (1938) said "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." 

Of course, maybe actually I have lost my mind; I chose to be a statistician. :)