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.
Nate Silver's book jumps underlying topics casually (baseball stats, gambling, weather patterns, natural disasters) and uses the science of prediction as a throughline. This creates a little cognitive noise in its own signal. Other than that, it's a good, armchair introduction to the science of Bayesian statistical methods.
Yes - profound lessons in how to think and solve problems
Thinking like a fox.
A hint at humor.
So many! Must read again
I'm an artist. I have always loved to read but work with my hands and eyes. I listen to books these days to get my fix and keep working.
Nate Silver guided me through the 2012 election with detailed analysis of the polling data he posted on his NYTimes blog 538. I was drawn to this book because I prefer his dry scientific reasoning, and how he explains his steps along the way.
In this book he talks about polling for elections, for which he has proven an expert and baseball statistics for which he designed a system a few years ago that gained him much fame and respect in the moneyball arena. He also describes in detail the successes and failures of several predictive techniques and reasons why humans are so bad at predicting the future. He describes why people continue to err factually even though we live in an information age. Namely, that there is too much data to gather without allowing our human subjectivity to taint the results.
This book does a good job giving insight into the difference between noise and signal and the value of being able to tell the difference