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  <titleInfo>
    <title>May contain lies</title>
    <subTitle>how stories, statistics and studies exploit our biases - and what we can do about it</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Edmans, Alex</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
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  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">UK</placeTerm>
    </place>
    <publisher>Penguin Random House India</publisher>
    <dateIssued>2025</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">ENG</languageTerm>
  </language>
  <physicalDescription>
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    <extent>328 P.</extent>
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  <note>Table of Contents:
Introduction 
PART I: The biases 
1. Confirmation Bias 
2. Black- and- White Thinking 
PART II: The Problems 
3. A Statement is not Fact 
4. A Fact is not Data 
5. Data is not Evidence: Data Mining 
6. Data is not Evidence: Causation 
7. When Data is Evidence 
8. Evidence is not Proof 
PART III: The Solution 
9. Thinking Smarter as Individuals 
10. Creating Organizations that Think Smarter 
11. Creating Societies that Think Smarter 

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  <subject>
    <topic>Critical Thinking</topic>
  </subject>
  <classification authority="ddc">153.42 EDM/MAY</classification>
  <identifier type="isbn">9780241630181</identifier>
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    <recordCreationDate encoding="marc">260717</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260717191044.0</recordChangeDate>
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