My geeky FIL gave me the Nate Silver book:
http://www.amazon.com/The-Signal-Noise-Many-Predictions/dp/159420411X
and I just finished it.
I love Nate in blog form, and I thought the book started a little slow and dry (with no surprises to anyone with a good working knowledge of statistics). After the first few chapters, though, I found myself really digging the material and his thesis. Bottom line, we live in an age of Big Data, and are running again and again into the perils and pitfalls of misinterpreting noisy data. There are some wins, like better Hurricane forecasts, but in general, the information age seems to be harder to deal with than we might have hoped naively 20 years ago.
Overall, I think he is going for a book in the style of Michael Lewis' work, and pulls it off. He is not as funny as ML, but introduces us to interesting characters as the chapters unfold to tell his story. He presents more mathematical material along the way....overall it reads as a geekier version of the 'big short'.
He covers a lot of topics....financial crisis, weather forecasting, internet poker, computer chess, day trading, national security, climate change and more (I skipped the moneyball chapter). Seems a refreshingly non-partisan take to me...let's see what the data show, and if the result is ambiguous, let's agree we don't know the right answer. Of course, he discusses the world as it is, not policy at all.
The climate change chapter was IMO esp well done, and changed how I thought about it (not easy).
I'd recommend it to anyone with an interest in the subject matter.
http://www.amazon.com/The-Signal-Noise-Many-Predictions/dp/159420411X
and I just finished it.
I love Nate in blog form, and I thought the book started a little slow and dry (with no surprises to anyone with a good working knowledge of statistics). After the first few chapters, though, I found myself really digging the material and his thesis. Bottom line, we live in an age of Big Data, and are running again and again into the perils and pitfalls of misinterpreting noisy data. There are some wins, like better Hurricane forecasts, but in general, the information age seems to be harder to deal with than we might have hoped naively 20 years ago.
Overall, I think he is going for a book in the style of Michael Lewis' work, and pulls it off. He is not as funny as ML, but introduces us to interesting characters as the chapters unfold to tell his story. He presents more mathematical material along the way....overall it reads as a geekier version of the 'big short'.
He covers a lot of topics....financial crisis, weather forecasting, internet poker, computer chess, day trading, national security, climate change and more (I skipped the moneyball chapter). Seems a refreshingly non-partisan take to me...let's see what the data show, and if the result is ambiguous, let's agree we don't know the right answer. Of course, he discusses the world as it is, not policy at all.
The climate change chapter was IMO esp well done, and changed how I thought about it (not easy).
I'd recommend it to anyone with an interest in the subject matter.