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

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Title: Truth or Truthiness : Distinguishing Fact From Fiction by Learning to Think Like a Data Scientist
Description: 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.
Authors: Howard Wainer
Resource Type: eBook.
Subjects: Belief and doubt, Evidence, Critical thinking, Inference
Categories: MATHEMATICS / Probability & Statistics / General
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
An: 1105182
RelevancyScore: 1070
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
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  Data: 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.
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      – Code: 001.42
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Belief and doubt
        Type: general
      – SubjectFull: Evidence
        Type: general
      – SubjectFull: Critical thinking
        Type: general
      – SubjectFull: Inference
        Type: general
    Titles:
      – TitleFull: Truth or Truthiness : Distinguishing Fact From Fiction by Learning to Think Like a Data Scientist
        Type: main
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            NameFull: Howard Wainer
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            NameFull: Howard Wainer
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2016
            – D: 30
              M: 12
              Type: profile
              Y: 2015
          Identifiers:
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              Value: 9781107130579
            – Type: isbn-electronic
              Value: 9781316492079
          Titles:
            – TitleFull: Truth or Truthiness : Distinguishing Fact From Fiction by Learning to Think Like a Data Scientist
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