World Model · podcast knowledge graph

Ep. 66: Liar, Liar

2017-03-28 · 27 min · 17 entities

episode page audio

Asserted relationships

  • 0.62
    evidence rules-v4
    author of the book The Honest Truth About Dishonesty
  • → hosted by Hidden Brain, Shankar Vedantam person
    0.55
    evidence rules-v4
    Feed author/publisher: Hidden Brain, Shankar Vedantam
  • → works at Duke University company
    0.50
    evidence rules-v4
    professor at Duke University and
  • → discusses Science concept
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    evidence rules-v4
    Feed category: Science
  • → discusses Arts concept
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    evidence rules-v4
    Feed category: Arts
  • → discusses Social Sciences concept
    0.40
    evidence rules-v4
    Feed category: Social Sciences
  • → hosted by Hidden Brain Media company
    0.40
    evidence rules-v4
    Feed author/publisher: Hidden Brain Media
  • → discusses Performing Arts concept
    0.40
    evidence rules-v4
    Feed category: Performing Arts

Entities found in this episode

concepts 9

  • mentioned Science concept
    0.50
    evidence rules-v4
    Feed category: Science
  • mentioned Arts concept
    0.50
    evidence rules-v4
    Feed category: Arts
  • mentioned Social Sciences concept
    0.50
    evidence rules-v4
    Feed category: Social Sciences
  • mentioned Performing Arts concept
    0.50
    evidence rules-v4
    Feed category: Performing Arts
  • mentioned Liar, Liar concept
    0.42
    evidence rules-v4
    Ep. 66: Liar, Liar
  • discusses Science concept
    0.40
    evidence rules-v4
    Feed category: Science
  • discusses Arts concept
    0.40
    evidence rules-v4
    Feed category: Arts
  • discusses Social Sciences concept
    0.40
    evidence rules-v4
    Feed category: Social Sciences
  • discusses Performing Arts concept
    0.40
    evidence rules-v4
    Feed category: Performing Arts

companys 4

  • mentioned Hidden Brain Media company
    0.70
    evidence rules-v4
    Feed author/publisher: Hidden Brain Media
  • mentioned Duke University company
    0.62
    evidence rules-v4
    professor at Duke University and
  • works at Duke University company
    0.50
    evidence rules-v4
    professor at Duke University and
  • hosted by Hidden Brain Media company
    0.40
    evidence rules-v4
    Feed author/publisher: Hidden Brain Media

books 2

persons 2

Episode description as stored
Editor’s note: Since this episode first aired, researchers have raised concerns about a number of studies authored by Dan Ariely, including one cited in this episode. That study included data from an insurance company that purported to show that people are more truthful when they sign an ethics declaration at the beginning of a form than at the end. In an independent review, a group of researchers found evidence of data fabrication in that study. You can read more about their findings here , along with Dan Ariely’s response . The insurance company that provided the data, The Hartford, released a statement to NPR’s Planet Money in July 2023. In that statement, the company said that it had done a review of its records and that “there appear to be significant changes made to the size, shape and characteristics of our data after we provided it and without our knowledge or consent.” You can hear the full Planet Money story and read the full statement from The Hartford here .  Additionally, a second study cited in this episode – in which Ariely reported reduced cheating among test-takers asked to recall the Ten Commandments before taking the test – has not stood up to replication by other researchers. You can read more about that here .   Everybody lies. This is not breaking news. But what separates the average person from the infamous cheaters we see on the news? Dan Ariely says we like to think it's character — but in his research he's found it's more often opportunity . Dan Ariely is a professor at Duke University and the author of the book The Honest Truth About Dishonesty: How We Lie to Everyone — Especially Ourselves. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.