Book in green boards in perfect, clean condition. Appears new and unread. Dust jacket has some slight curling at edges. The author, a research scientist and statistician, sets out to show how the sceptical mind of a data scientist can expose what he calls 'truthiness', or beliefs based on gut feelings of 'rightness', as well as obvious nonsense and outright deception. Using the tools of causal inference, he evaluates the evidence, or lack thereof, supporting claims in many fields, with special emphasis in education.

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Bibliographic Details

Title: Truth or Truthiness: Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist
Publisher: Cambridge University Press, New York, USA
Publication Date: 2016
Language: English
ISBN 10: 1107130573
ISBN 13: 9781107130579
Binding: Hardcover
Condition: As New
Dust Jacket Condition: Very Good

About this title

Synopsis

The author evaluates the evidence, or lack thereof, supporting claims in many fields, with special emphasis in education.

About the Author

Howard Wainer is a Distinguished Research Scientist at the National Board of Medical Examiners. He has published more than four hundred articles and chapters in scholarly journals and books.

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