#2062
Mentioned in 12 episodes
How to Measure Anything
Book • 2007
Douglas Hubbard's "How to Measure Anything" provides a practical framework for quantifying even the seemingly unmeasurable.
The book emphasizes the importance of understanding uncertainty and using Bayesian methods to improve decision-making.
Hubbard presents a systematic approach to identifying and addressing sources of uncertainty, helping readers make more informed choices.
The book is widely used by professionals in various fields, including business, engineering, and science.
It offers valuable insights into the challenges of measurement and the importance of using data effectively to improve decision-making.
The book emphasizes the importance of understanding uncertainty and using Bayesian methods to improve decision-making.
Hubbard presents a systematic approach to identifying and addressing sources of uncertainty, helping readers make more informed choices.
The book is widely used by professionals in various fields, including business, engineering, and science.
It offers valuable insights into the challenges of measurement and the importance of using data effectively to improve decision-making.
Mentioned by
Mentioned in 12 episodes
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Mentioned by Brian O'Neill in episode 80 of Experiencing Data podcast as a great read, particularly the first half which focuses on the concepts of measurement without needing extensive math.
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Mentioned by Dani Hernandez when discussing his transition to helping Twitch better manage planning.
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Recommended for its approach to estimating and understanding uncertainty in measurements.
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