Truth or Truthiness: Distinguishing Fact from Fiction by

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Truth or Truthiness: Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist

Teacher tenure is a problem. Teacher tenure is a solution. Fracking is safe. Fracking causes earthquakes. Our kids are over-tested. Our kids are not tested enough. We read claims like these in the newspaper every day, often with no justification other than 'it feels right'. How can we figure out what is right? Escaping from the clutches of truthiness begins with one simple question: 'what is the evidence?' With his usual verve and flair, Howard Wainer shows how the sceptical mindset of a data scientist can expose truthiness, 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. This wise book is a must-read for anyone who has ever wanted to challenge the pronouncements of authority figures and a lucid and captivating narrative that entertains and educates at the same time.
Country USA
Brand Cambridge University Press
Manufacturer Cambridge University Press
Binding Hardcover
ItemPartNumber 52 b/w illus. 9 colour illus. 12 table
UnitCount 1
EANs 9781107130579
ReleaseDate 0000-00-00

Country	USA
Brand	Cambridge University Press
Manufacturer	Cambridge University Press
Binding	Hardcover
ItemPartNumber	52 b/w illus. 9 colour illus. 12 table
UnitCount	1
EANs	9781107130579
ReleaseDate	0000-00-00

Truth or Truthiness: Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist

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