All models are wrong, but some are useful.

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

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.

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

The benefits provided by worker participation are twofold. Quality is improved because of the finding and fixing of a very large number of problems, but also, and perhaps equally important, moral is improved.

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