The practical and relevant examples (health effect of smoking, impact of humanity on climate change) of causal inference alone make the book worthwhile.
Great exercise in spotting biases, and understanding how these manifest themselves in how the world around us is shaped.
Overly simplified presentation of basic statistics that cuts some corners, as superbly pointed out by Andrew Gelman.
A cornucopia of charming mathematical anecdotes and facts
In the US election system, geographic concentration puts democrats at a fundamental disadvantage.
Economists should stay away from pseudo-philosophical assertions, in particular when these hinge on misinterpretation of Bayesian methods, use flawed logic, and do not lead to realistic recommendations.
A lot of Fermi-type deconstruction of drivers, Monte Carlo simulations, and value estimates .
Shocking to realize how much controversy surrounded Bayesian statistics before the explosion of computing power.
Despite all mathematical considerations, the prerequisite for a truly successful betting strategy inside knowledge.
Sage advise from the man who beat the dealer at blackjack and outperformed the market as one of the world’s first quants (but feel free to skip the chapters about Edward’s youth as a prodigy).
Essential reading for everyone who uses statistics on a regular basis, for policy making or otherwise.
Entertaining rant on shortsightedness in many guises, backed-up by a statistical world-view.