Imagine The Deciding Factor rewritten by someone with a sense of humour rather than a copywriter for a huge data-mining company, mix in a little of The Long Tail, some Malcolm Gladwell, and you get this book. Mostly the book presents how regression analysis and randomized testing are used in a series of anecdotal stories. It does not go into *how* these numbers are crunched, just how the results can be used. The only thing I learned here was the concept of "making your own data" using randomized testing. That was an interesting way to look at it. The final chapters were the best — focusing on standard deviations and Bayesian statistics — but only scratched the surface. No substance.

This book seems directed at an older audience, unfamiliar with even the most basic conception of our data-filled world (I mean, he uses*floppy disks* in one of his data size metaphors!).

This book seems directed at an older audience, unfamiliar with even the most basic conception of our data-filled world (I mean, he uses