The Signal and the Noise: Why Most Predictions Fail but Some Don't Topics for Discussion

Nate Silver
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What caused the 2007 economic collapse? What part did predictions and forecasting play?

What is the Bayesian theorem? What was the predictive theory of Pierre-Simon Laplace?

What is "frequentism"? Who was the creator of this forecasting theory and how did he feel about the methodology of Bayes and Laplace?

Which predictive philosophy does Nate Silver ascribe to and why?

Why is it important to understand the context of an issue for which a prediction is being made? How does uncertainty impact prediction models?

What caused the dot.com bubble and the housing bubble? What are the dangers of bubbles and why are they difficult to detect and why do they take a long time to burst?

What forecasting has had the most successful results and why? What are some matters that are difficult to predict and why?

What are the different views on global warming...

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This section contains 170 words
(approx. 1 page at 400 words per page)
Buy The Signal and the Noise: Why Most Predictions Fail but Some Don't Study Guide
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Gale
The Signal and the Noise: Why Most Predictions Fail but Some Don't from Gale. ©2005-2006 Thomson Gale, a part of the Thomson Corporation. All rights reserved.
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