The Signal and the Noise: Why So Many Predictions Fail – But Some Don’t by Nate Silver is another great book that completely absorbed my attention. This book offers in sights to many audiences. From weather forecasts, the Wall Street financial crisis in 2007, playing poker to even understanding and identifying signal relationships regarding the attacks on Pearl Harbor and New York on 9/11.
The Signal and the Noise offers readers Silver’s insights on Bayesian thinking. Actually the book applies Bayesian in all the books lessons.
He nudges us to remember this when applying predictions in our own professions. Actually Nate’s study of predictions affects just about everything we do in life.
The strongest lesson for me is about understanding data-driven models can lead to tragic outcomes. He warns us about noisy data and Big Data that can set off false readings with horrific consequences. This alone makes this book a pretty important read.
Silver’s chapter on baseball and references to Michael Lewis‘s bestseller
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[…] acknowledges data lessons supplied by Nate Silver’s The Signal and the Noise as helping to define standards to data staticians and how it is misled in the national […]