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

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.

All models are wrong, but some are useful.

For the theory-practice iteration to work, the scientist must be, as it were, mentally ambidextrous; fascinated equally on the one hand by possible meanings, theories, and tentative models to be induced from data and the practical reality of the real world, and on the other with the factual implications deducible from tentative theories, models and hypotheses.

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.

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