I've read it - it's inspired a short series I shall be posting shortly.
ETA: not a chapter-by-chapter review, though I might do that too; rather, I focus on one small aspect (the "waterline" model discussed in connection with the poker bubble) and use it to illustrate something else (tips and tricks in forecasting).
I read it - I think the way I described it to the Less Wrong DC group was, "like an introductory Less Wrong article, except a book."
To elaborate a bit:
It's easy to read, and it's worth reading for the case studies, but I'd probably put it at a "Borrow" rather than a "Buy" recommendation.
ETA: The review you posted is good.
I've read and enjoyed a few chapters. One interesting theme is about why we have success predicting some things but not others. E.g., our ability to predict weather has actually improved in the past few decades, but there's been practically no progress for earthquakes.
There's relatively little about political prediction. I read his blog and enjoy that too, but I liked the broader perspective here.
Here's a link to a review, by The Economist, of a book about prediction, some of the common ways in which people make mistakes and some of the methods by which they could improve:
Looking ahead : How to look ahead—and get it right
One paragraph from that review: