The advantage of the analytical approach is that it is widely applicable, and it can provide a considerable amount of quantitative information even with a relatively poor resolving power.

Every time the Fed implements 'quantitative easing,' a.k.a. printing more money, two things go up: taxes and inflation. When taxes and inflation go up, more jobs are lost.

Leadership is not a quantitative thing. People either smell it in you, or they don't.

In rating ease of description as very important, we are essentially asserting a belief in quantitative knowledge - a belief that most of the key questions in our world sooner or later demand answers to 'by how much?' rather than merely to 'in which direction?'

You can use all the quantitative data you can get, but you still have to distrust it and use your own intelligence and judgment.

We need quantitative assessments of the success of education. We need certification and qualifications both for teachers and for pupils. It is not a choice between quantity and quality, between access and excellence. Both of these will happen together if people really do believe in the importance of education to change lives.

I want to support the whole idea of the humanities and teaching the humanities as being something that - even if it can't be quantitatively measured as other subjects - it's as fundamental to all education.

Fields make huge progress when they move from stories (e.g Icarus) and authority (e.g 'witch doctor') to evidence/experiment (e.g physics, wind tunnels) and quantitative models (e.g design of modern aircraft).

Statistics are the triumph of the quantitative method, and the quantitative method is the victory of sterility and death.

To us the only acceptable point of view appears to be one that recognizes both sides of reality - the quantitative and the qualitative, the physical and the psychical - as compatible with each other, and can embrace them simultaneously. It would be most satisfactory if physics and psyche (i.e., matter and mind) could be viewed as complementary aspects of the same reality.

You can use all the quantitative data you can get but you still have to distrust it and use your own intelligence and judgment.

A painstaking course in qualitative and quantitative analysis by John Wing gave me an appreciation of the need for and beauty of accurate measurement.