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Library:The Signal and the Noise

From bullshitopedia
The Signal and the Noise: Why So Many Predictions Fail—but Some Don't
Author Nate Silver
First published 2012
ISBN —
Role Analysis
Domains Science & Space
Politics & Elections
Tactics Statistical & Evidentiary Distortion

The Signal and the Noise: Why So Many Predictions Fail—but Some Don't is a 2012 book by Nate Silver.

Summary

Nate Silver, the statistician who founded the election forecasting site FiveThirtyEight, examines why forecasts fail in fields from economics and earthquakes to elections, poker and weather. He argues that the explosion of data has made it easier, not harder, to mistake noise for signal.

The book's lesson is that good forecasters think probabilistically, update their beliefs as evidence arrives and are honest about uncertainty.

Key points

  • Overfitting. Models that fit past data too closely find patterns that are not real and fail to predict the future.
  • Weather as a model. Weather forecasting improved dramatically because forecasters test predictions constantly and admit uncertainty.
  • Bayesian thinking. Silver argues for starting with prior estimates and revising them in light of new evidence.

Relevance to Bullshitopedia

Many false claims rest on confident predictions or on patterns found in noise. Silver's framework helps readers judge how much a forecast or statistic should be trusted.