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

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.

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.

Management must provide employees with tools that will enable them to do their jobs better, and with encouragement to use these tools. In particular, they must collect data.

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

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

Just as the ability to devise simple but evocative models is the signature of the great scientist so overelaboration and overparameterization is often the mark of mediocrity.