a must read to gain perspective on the news and all the claims made by "experts"
too much water. overall this book lacks organization. there would be a single point made and then that point would be supported by an example in baseball, weather or market forecasting for the next 2 hours. as much as I love stories there's way more trivia in this book than it reasonably should allow. points are reiterated *a lot*. everything that the book says could be said and shown in a 20 pages essay.
It is a great book and the data is well laid out.
I would recommend it to anyone looking for some clarity on world events.
The issue is the equations, charts and graphs described in the book. I don't know how you can fix that for an audio book
I love the concept and the introduction of Bayes Theorem
He did a good job
I thought the examples were a little long and over discussed
I plan to return the audiobook and buy a hard copy.
Psychology and Biology nerd. Chemistry enthusiast. Fan of good research-based science books, comedies and crime.
Nate gives a great view of how big data can and should work (or not). I particularly liked that while some case studies had clear central messages, he avoided reductionism and reapplied lessons from other chapters.
This is a must read for any one interested in being correct about the world we live in.
The way the book ties together so many different threads with a single consistent hypothesis is praiseworthy
I now understand part of the reason I kept seeing Bayes' Theorem referenced everywhere when this book was released.
I like how the focus is on confronting priors. not eliminating them, but seeing the effect they have on your view. I confess I will be doing some basic calculations in the coming days.
this does make the second book read by Chamberland that basically slams you with data. much more approachable than Gig Calories, Bad Calories.