All models are approximations. Essentially, all models are wrong, but some are useful. However, the approximate nature of the model must always be borne in mind.

The business of the statistician is to catalyze the scientific learning process.

Discovering the unexpected is more important than confirming the known.

Remember that all models are wrong; the practical question is how wrong do they have to be to not be useful.

The management system which makes only a pretense of valuing employee involvement and encouraging employee empowerment merely breeds cynicism.

One important idea is that science is a means whereby learning is achieved, not by mere theoretical speculation on the one hand, nor by the undirected accumulation of practical facts on the other, but rather by a motivated iteration between theory and practice.

The only way to know how a complex system will behave-after you modify it-is to modify it and see how it behaves.