4.7 • 4.3K Ratings
🗓️ 22 October 2007
⏱️ 63 minutes
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0:00.0 | Welcome to Econ Talk, part of the Library of Economics and Liberty. I'm your host Russ Roberts |
0:13.9 | of George Mason University and Stanford University's Hoover Institution. Our website is econtalk.org |
0:21.2 | where you can subscribe, find other episodes, comment on this podcast, and find links to |
0:26.5 | another information related to today's conversation. Our email address is mailadicontalk.org. We'd |
0:33.6 | love to hear from you. My guest today is Ian Ayers, the William K. Townsend Professor |
0:40.6 | at Yale Law School and a Professor at Yale School of Management. He's also the author |
0:44.9 | of Supercrunchers, why thinking my numbers is the new way to be smart. Stay tuned at the |
0:50.1 | end of this podcast for a post script where I expand on some of the issues raised by today's |
0:54.5 | conversation. Ian, welcome to econtalk. That's great to be here. Your book is about the triumph |
0:59.8 | of facts over intuition. You argue we can make better decisions as individuals, as business |
1:05.2 | executives, and as a society if we pay attention to the facts. Particularly facts are findings |
1:10.0 | that come out of statistical analysis. I want to confess from the start that I had a little |
1:14.5 | bit of a schizophrenic reaction to the book. I'm a big fan of facts and statistics, but the |
1:18.9 | devil's in the details, particularly when it comes to statistical analysis and even plain |
1:23.9 | statistics. I want to start with letting you make the case for Supercrunching, the use |
1:29.4 | of numbers and the use of data and analysis. Tell us about the Orleashian filter story and |
1:36.1 | Bill James in what they tell us. Sure. Orleashian filter is one of the great statistical |
1:41.7 | economists in the world, and he also has a passion for wine. He's combined the two by going |
1:49.8 | out and doing the statistical analysis of the quality of Bordeaux. He has collected historical |
1:58.8 | information on the growing temperature and the rainfall, yet in Bordeaux regions of France, |
2:06.3 | and he has done a statistical analysis, a technique called a multivariate regression, |
2:13.1 | to find underlying correlations, underlying causal influences between the growing conditions, |
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