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Super Crunchers (Abridged): Why Thinking-by-Numbers Is the New Way to Be Smart Audiobook, by Ian Ayres Play Audiobook Sample

Super Crunchers (Abridged): Why Thinking-by-Numbers Is the New Way to Be Smart Audiobook

Super Crunchers (Abridged): Why Thinking-by-Numbers Is the New Way to Be Smart Audiobook, by Ian Ayres Play Audiobook Sample
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Read By: James Lurie Publisher: Random House Audio Listen Time: at 1.0x Speed 4.17 hours at 1.5x Speed 3.13 hours at 2.0x Speed Release Date: August 2007 Format: Abridged Audiobook ISBN: 9780739354735

Quick Stats About this Audiobook

Total Audiobook Chapters:

99

Longest Chapter Length:

04:59 minutes

Shortest Chapter Length:

02:29 minutes

Average Chapter Length:

03:48 minutes

Audiobooks by this Author:

4

Other Audiobooks Written by Ian Ayres: > View All...

Publisher Description

Why would a casino try and stop you from losing? How can a mathematical formula find your future spouse? Would you know if a statistical analysis blackballed you from a job you wanted? Today, number crunching affects your life in ways you might never imagine. In this lively and groundbreaking new book, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers. From internet sites like Google and Amazon that know your tastes better than you do, to a physician's diagnosis and your child's education, to boardrooms and government agencies, this new breed of decision makers are calling the shots. And they are delivering staggeringly accurate results. How can a football coach evaluate a player without ever seeing him play? Want to know whether the price of an airline ticket will go up or down before you buy? How can a formula outpredict wine experts in determining the best vintages? Super crunchers have the answers. In this brave new world of equation versus expertise, Ayres shows us the benefits and risks, who loses and who wins, and how super crunching can be used to help, not manipulate us. Gone are the days of solely relying on intuition to make decisions. No businessperson, consumer, or student who wants to stay ahead of the curve should make another keystroke without reading Super Crunchers.

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"The subtitle of the British edition is "How Anything Can Be Predicted," and the author does an admirable job making one believe it. While glossing over most of the technical details, including the "hard part" of discovering which data variables correlate significantly and which do not, Ayres made me want to crank up my SAS program and get crunching! Inspiring and thought-provoking!"

— Joe (5 out of 5 stars)

Super Crunchers Listener Reviews

Overall Performance: 3.5 out of 53.5 out of 53.5 out of 53.5 out of 53.5 out of 5 (3.50)
5 Stars: 1
4 Stars: 17
3 Stars: 9
2 Stars: 2
1 Stars: 1
Narration: 0 out of 50 out of 50 out of 50 out of 50 out of 5 (0.00)
5 Stars: 0
4 Stars: 0
3 Stars: 0
2 Stars: 0
1 Stars: 0
Story: 0 out of 50 out of 50 out of 50 out of 50 out of 5 (0.00)
5 Stars: 0
4 Stars: 0
3 Stars: 0
2 Stars: 0
1 Stars: 0
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  • Overall Performance: 3 out of 53 out of 53 out of 53 out of 53 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " The latest "next Freakonomics", and I felt pretty similarly about this book -- there were lots of interesting anecdotes, but I'm enough of a nerd that I actually wanted to see the details of the statistics and the data rather than just hear the cocktail-party version. "

    — Darrenglass, 2/10/2014
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " Good read although a few years old (2007), so some of the concepts (randomised trials etc) weren't new, especially with Big Data being the trend on everyone's lips. Great section introducing statistical regressions, and the practical application of standard deviations (2SD rule) was an excellent refresher. "

    — Jonah, 2/3/2014
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " A fascinating book on the ethics and real life applications of data mining. "

    — Katharine, 1/30/2014
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " I really enjoyed this analysis of numerical analysis in today's world. It was much more engaging, even exciting than I expected. There are here great real-world accounts of significant business intelligence gathered from proper application of nothing more complicated than high school regression models. "

    — Tom, 1/28/2014
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " Popularized stats. Great read. Accessible to and useful for anyone these days- consumers, marketers, researchers, patients, policy makers. Excellent anecdotes to show how powerful data mining can be. "

    — Roxanne, 1/12/2014
  • Overall Performance: 3 out of 53 out of 53 out of 53 out of 53 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " Ian Ayers is a very bright guy who works with huge datasets and Gaussian distributions. I was given this by Jeffry along with The Black Swan. It felt like being in the middle of an intellectual shouting match. Fun book, and Ayers writes with an easy, readable style. "

    — Owen, 1/11/2014
  • Overall Performance: 3 out of 53 out of 53 out of 53 out of 53 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " Statistical analysis of data-bases. Hey - I did this stuff in the 1980's on DEC 11/70's. So it's become common because of how cheap it is to data-mine, and this book demonstrates how the tool works when applied at key moments in our busy lives. "

    — MikeFromQueens, 1/8/2014
  • Overall Performance: 3 out of 53 out of 53 out of 53 out of 53 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " An impressive review of what modern economists and mathematicians are currently doing to provide insight formerly the realm of "the gut." "

    — Jonny99, 1/5/2014
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " A should-read book for knowledge workers and entrepreneurs on concepts and trends. "

    — Lori, 12/26/2013
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " It is a good book to know more about how the industry uses our data. But it is not a technical book, no statistics nor maths, so if you like theory, you might get bored at one point. But as scientific divulgation it is a very good book. The brazilian edition has some errors, though. "

    — Iuri, 12/3/2013
  • Overall Performance: 2 out of 52 out of 52 out of 52 out of 52 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " Not bad, but much of it I've seen elsewhere in the few years since its publication. "

    — Dave, 10/31/2013
  • Overall Performance: 3 out of 53 out of 53 out of 53 out of 53 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " good, but not quite at freakonomics/gladwell's level "

    — Jeremy, 9/11/2013
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " A fascinating, counterintuitive and somewhat scary look at the future where computer generated analysis of data provides a powerful tool for predicting all sorts of things while simultaneously stripping more and more of our privacy away. For everyone who thinks math is boring, read this book. "

    — Mazola1, 8/6/2013
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " Much more insightful than 'Competing on Analytics...'. "

    — Puneet, 8/3/2013
  • Overall Performance: 5 out of 55 out of 55 out of 55 out of 55 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " A good compliment to Freak Economics and all those other book written about how stats can be used in practical ways. Some very interesting anectdotes. "

    — Craigmundkoller, 6/12/2013
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " Statistics is the future. Not that I didn't already know this, but data mining will make all of our future decisions =D. "

    — Casandra, 12/11/2012
  • Overall Performance: 3 out of 53 out of 53 out of 53 out of 53 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " Pretty interesting how companies can do trials and make decisions using statistics "

    — Brian, 6/30/2012
  • Overall Performance: 3 out of 53 out of 53 out of 53 out of 53 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " If Ayers says "Super Crunchers" one more time I'm going to go crazy. It makes the book read like a 60 minutes story... you keep expecting the bad pun from Andy Rooney at the end of each chapter. That said, it's got some interesting tidbits. "

    — Ryan, 5/9/2012
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " Very mind opening. This book effectively convinces you that you must learn to look at the data. Like it or not, you are going to make a lot of bad decisions if you don't. "

    — Dustin, 1/7/2012
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " This was recommended to me by my boss. He lent me his copy and I took this out to San Francisco on a trip. It was well worth the read. While it got a little too much into the hard math at the end, it was a real eye opener regarding how statistics influence our lives. "

    — Ben, 12/2/2011
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " This book is well written, interesting, relevant and scary. It's about how digitized information has become so easily available (thanks to the internet), that it is now easy to predict the usefulness of everything from advertising techniques to medical procedures. "

    — Jkettler, 6/13/2011
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " This is better than a borrowed Christmas book. It is, in fact, Jon's Christmas book which he read and gave back to me to donate to the library. I had to read it first, of course. I can't believe I actually enjoyed reading a book about numbers...what is the world coming to? "

    — Jean, 4/14/2011
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " Really titillated my inner nerd. I refer to it too often, definitely captured my imagination. "

    — Claire, 3/22/2011
  • Overall Performance: 3 out of 53 out of 53 out of 53 out of 53 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " Good introduction, but very, very basic if you work with computers. Data analysis has been done for a while now. "

    — Will, 12/26/2010
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " Very mind opening. This book effectively convinces you that you must learn to look at the data. Like it or not, you are going to make a lot of bad decisions if you don't. "

    — Dustin, 12/15/2010
  • Overall Performance: 2 out of 52 out of 52 out of 52 out of 52 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " Similar to "freakonomics". Perhaps the most significant case study was the reality that medical record digitization and consequent data mining is not only efficient but has saved hundreds of thousand of lives. "

    — James, 12/15/2010
  • Overall Performance: 1 out of 51 out of 51 out of 51 out of 51 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " Note to Ian Ayres: If you're gonna plagiarize, at least plagiarize stuff that makes your book tolerable. "

    — Alex, 12/11/2010
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " It is a good book to know more about how the industry uses our data. But it is not a technical book, no statistics nor maths, so if you like theory, you might get bored at one point. But as scientific divulgation it is a very good book. The brazilian edition has some errors, though. "

    — Iuri, 12/6/2010
  • Overall Performance: 3 out of 53 out of 53 out of 53 out of 53 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " I read it a couple of years ago. Never thought economics could be this much fun. Its not going to be my favourite of all time. "

    — Linda, 11/22/2010
  • Overall Performance: 4 out of 54 out of 54 out of 54 out of 54 out of 5 Narration Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5 Story Rating: 0 out of 50 out of 50 out of 50 out of 50 out of 5

    " this is an excellent book showing how accumulation of data to find relationship for good decision making for long-term horizons. "

    — Brian, 11/4/2010

About Ian Ayres

Ian Ayres is an economist and lawyer who is the William K. Townsend Professor at Yale Law School and a professor at Yale’s School of Management. He is a columnist for Forbes magazine and a regular contributor to the New York Times  Freakanomics blog. He is the author of several books, including Super Crunchers, which was a New York Times bestseller and named one the Best Economics and Business Books of the Year by the Economist. He lives in New Haven, Connecticut.