One of the goals of this site is to source new and interesting book ideas. Sometimes you get hit over the head with the sheer amount of chatter around a certain book. In this post I want to serve up some of the content I have unearthed about the recently published book: Superforecasting: The Art and Science of Prediction by Philip Tetlock and Daniel Gardner.
To be perfectly clear I have not read the book but it is on my growing reading list.* It was long listed for the FT & McKinsey Business Book of the Year Award. Some might find it odd that a blog that is tagged with the “forecast free” moniker would highlight a book all about forecasting.
The fact is that Tetlock has been at the forefront of studying forecasting and more importantly how to make forecasting better for a long time. This book represents his best thinking on the topic for a general (albeit smart) audience. In a world awash with forecasts whether it be about the Presidential election, the stock market or the World Series it makes sense to be a smart consumer of forecasts.
Below are some items that I think readers will find of interest whether they buy Superforecasting: The Art and Science of Prediction or not. I also wanted to point out that readers can get the book on Audible.com for free when they sign-up for a trial. Please note some of the items are repeats.
Review: Superforecasting: The Art and Science of Prediction by Philip Tetlock and Dan Gardner is a “must read book” for everyone sick of the “guru model.” (Reading the Markets)
Review: Superforecasting: The Art and Science of Prediction by Philip Tetlock and Daniel Gardner is “enlightening and entertaining.” (Institutional Investor)
Review: Jason Zweig, “I think Philip Tetlock’s “Superforecasting: The Art and Science of Prediction,” co-written with the journalist Dan Gardner, is the most important book on decision making since Daniel Kahneman’s “Thinking, Fast and Slow.” (WSJ)
Notes: A dozen ways that Charlie Munger thinks like Philip Tetlock about forecasting. (25iq)
Notes: 5 principles for better forecasting from Superforecasting: The Art and Science of Prediction. (Jason Zweig)’
Q&A: Philip Tetlock talks about how automation and big data can affect forecasting. (Scientific American)
Podcast (including transcript): A wide-ranging discussion with Philip Tetlock about how to become a better forecaster. (Knowledge@Wharton)
Podcast (including transcript): What the best forecasters do right. A discussion with with Philip Tetlock. (Rationally Speaking)
Longread: Michael Mauboussin jumps off from Tetlock’s work to establish what it takes to be a better forecaster. (Credit Suisse)
*Nor have I received a copy from the publisher.