I'm Trying to see the world with my ears.
.....Nate Silver is the wunderkind who burst onto the scene with his blog that supplied intellectual elbow grease to issues of probability analysis . In his new book he wanders like a modern day Socrates searching for those with true wisdom . And he finds it--among modest , hardworking , humble folks across an array of industries and government institutions . A wonderful read.
Say Less, Mean More?
Very sobering information for readers (and listeners) who often believe they recognize patterns where none exist. Mr. Silver utilizes statistical analysis that confirms the outlooks of people like Warren Buffett, Burton Malkiel, and Rolf Dobelli.
The volume of examples in the breadth of so many different fields.
Solid performance in a work that described numerous grafts.
How often we create a very inaccurate story to reconcile why something we witnessed happened.
Very irreverent, and seemingly very correct.
Silver's explanations are clear and make sense - much more reasonable than a number of more polemical texts. He pretty much avoids "let's unmask the villain" tactics which tend to dominate a lot of economic discussionFor example, his explanation that rating agencies rated CDO's on the assumption that mortgage foreclosures were independent events when the housing bubble really made foreclosures more likely was pretty clear. He also explains the incentives of the rating agencies without casting (too many) aspersions. That kind of explanation is much more satisfying to me than witch hunts. I certainly hadn't understood that part of the story before. Fulminating about various parties' "greed" is not very interesting, unless you happen to think that greed is some new human characteristic that reared its ugly head in 2004 and caused the whole mess.
This is a book worth reading even for applied mathematicians/statisticians for whom the theories presented in the book are basic knowledge. That being said, the delivery was a little flat for someone who listens to audiobooks for entertainment while commuting.
I did like the book, but I am probably going to stop reading it after Chapter 3. The author makes a good point many times, and then rams it down our throat to the point where you get sick of hearing it. I get the point, xxxx screwed up - move on...
They were easy to follow - I was a little worried having an audiobook on this topic..
Mike Chamberlain was an amazing narrator - I just realized that he wasn't the author now... He read it witha good believability that he was speaking from experience
Not at all, Its not really a story book
The book was good, but the repetitiveness just got grating... And when he started mentioning his website every couple of minutes, that was the final straw for me...
As far as I know, this book is one-of-a-kind. Nate Silver lets the sunshine in, exposing politico fakery while elevating prediction to a rigorous and transparent level.
A good defense of general skepticism and accessible explanation of the usefulness and limits of forecasting.
Money ball and similar books by Michael Lewis for making data analysis accessible.
Unintentionally hilarious name-dropping which I found more endearing than annoying. Almost like somebody told Mr. Silver to punch it up. Lots of clangingly unnecessary references to the food eaten with smart, successful people. Small price to pay for this book,though.
Nate explains things very well. Easy to listen to and you will learn a lot. You don't have to know math to enjoy this book.
Maybe - I don't tend to read books over and over again.
Not sure - he was a good narrator though.
Bayesian thinking. I've been familiar with Bayesian mathematics for a while but I'd never quite thought about applying it to probabilistic thinking the way Nate discusses it.
This book was an amazing read. Nate uses lots of great examples from a wide-variety of disciplines and professions to show the usefulness and limitations of statistics and prediction models.
Through different disciplines, the author explores how statistics can inform. It's not told in "geek speak", rather in everyday, intelligent stories. And, as happens in academia, it cautions about listening to the noise of information instead of seeing what's truly informative.