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Comments (8)

The Signal and the Noise

Why So Many Predictions--fail but Some Don't
What did you think about this title?
1 to 8 of 8 items
Jun 04, 2023
Recommended by Andrew a junior engineer at arity. moving to completed because I doubt I will come back to this book.
Jul 25, 20181aa rated this title 4 out of 5 stars
The diversity of topics treated by applied statistics by the author in this book is quite broad: earthquakes, baseball, congressional and presidential politics, stock markets, and even terrorism. Its not overly complex, rather informally…
May 28, 2018
A very good discussion of statistics and probability. This is a fairly technical book, which is a bit dense in part even though it is written for a general audience. Silver talks about the math behind predictions from politics to finance…
geezr_rdr
Feb 04, 2014geezr_rdr rated this title 3.5 out of 5 stars
This is a worthwhile book for those who would like a basis for skepticism about the information we get from news programs, although it could have been more concise. The most valuable chapter deals with the Bayes approach to making and…
voisjoe1
Nov 18, 2013voisjoe1 rated this title 4.5 out of 5 stars
Nate Silver, who clashed with TV Republican political pundits on TV prior to the 2012 presidential elections, predicted correctly all 50 states in 2012, demonstrating that their opinions were political bluster rather than intelligent…
Jane60201
Sep 19, 2013Jane60201 rated this title 4.5 out of 5 stars
I expected the book to be about politics and was pleasantly surprised about the variety to topics covered. An extremely interesting book which kept my attention the entired way through.
Apr 22, 2013writermala rated this title 3.5 out of 5 stars
An interesting, well-written book but I found it wasn't as user-friendly as I expected. It seemed to me that a lay person couldn't grasp all the concepts Silver had stated and explained. Having said that I have to concede that this…
johnf108
Dec 30, 2012
An excellent analysis of how we get mis-led by predictions of so called experts---like pundits and TV weathermen---and how they deceive themselves or purposely distort their forecasts to get noticed. A must read for any academic in almost…