This book shows how perceptive people have separated relevant data from irrelevant data.
The author is fond of baseball and baseball statistics. Not being fond of baseball, I had to remind myself from time to time that the book is about data and analyzing data and not about baseball. Sometimes the book moves a little slow, but it is full of good information.
This is not a mathematical book about statistics so much as a book about judgment calls and how to evaluate relevance.
The author's view on Bayes's theorem is particularly interesting. I hope he will elaborate on Bayes's theorem with examples in detail in a future book.
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.
nate silver is the son of a michigan state professor
his careers in poker, finance, and baseball proved unfulfilling
i suspect the wolf of insignificance was nagging at his door
he needed a new and meaningful focus for his considerable intellect
he now aspires to be the high priest for our digital and data-driven age
the wise sorter of signal & noise / truth & lie / wheat & chaff
the book isn't entertaining because nate silver isn't entertaining
he wants to tell you the truth and show you how to recognize a lie
he then applies his focus and filter to the ocean of data we swim in
at heart, the book is a sturdy compass and a very necessary tool
we live in an expanding jungle of useless and biased information
nate silver wants to lead us to the promised land of the true signal
Soo Lee Davis
Yes - profound lessons in how to think and solve problems
Thinking like a fox.
A hint at humor.
So many! Must read again