In this post, you will find great Statistical Quotes from famous people, such as Nate Silver, Alison Gopnik, Angus Deaton, Michael Leunig, Andre Villas-Boas. You can learn and implement many lessons from these quotes.

I think that a failure of statistical thinking is the major intellectual shortcoming of our universities, journalism and intellectual culture.
Affirmative action is the most important antidiscrimination technique ever instituted in the United States. It is the one tool that has had a demonstrable effect on discrimination… Affirmative action, by all statistical measures, has been the central ingredient to the creation of the black middle class.
Both poker and investing are games of incomplete information. You have a certain set of facts and you are looking for situations where you have an edge, whether the edge is psychological or statistical.
I think I’ve read all of W.E.B. Du Bois, which is a lot. He started off with comprehensive field work in Philadelphia, publishing a book in 1899 called ‘The Philadelphia Negro’. It was this wonderful combination of clear statistical data and ethnographic data.
When we look at what has the strongest statistical relationship to overall evaluation of your life, the first one is your career well-being, or the mission, purpose and meaning of what you’re doing when you wake up each day.
It is true that in quantum theory we cannot rely on strict causality. But by repeating the experiments many times, we can finally derive from the observations statistical distributions, and by repeating such series of experiments, we can arrive at objective statements concerning these distributions.
An indictment of entitlements has to focus on the huge ‘social wealth‘ that the welfare state creates at the stroke of the pen. Yet statistical tests of the effects of welfare spending on employment yield erratic results.
Statistical physics or Newtonian physics gives way to quantum physics. Very unusual properties of matter emerge at that scale, and you can think about building products in a very different way. You can think about interfacing to biology in a very different way.
Two years later, I went to the University of Minnesota from which I was on leave for several years during the war as a member of Statistical Research Group at Columbia University.
Statistical studies are all over the lot about the pluses and minuses of raising the minimum wage.
I have been doing technology foresight for a number of years now on the level of scenario design, primarily. I want to become more rigorous with research methodology and statistical methods. I want to shift from creating clever SF scenarios to being a professional forecaster able to make rigorous predictions.
We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced analytics and statistical machine learning into data-science departments everywhere.
Nonetheless, much has been learned by studying the statistical differences between the various human races.

There’s no statistical evidence that human beings have an ability to move in and out of the markets effectively. It’s next to impossible.
We need no elaborate statistical proof that trade depends on prosperity in the industrial countries.