IDEAS home Printed from https://ideas.repec.org/a/jmi/articl/jmi-v9i1a3.html
   My bibliography  Save this article

Bayesian Bullshit

Author

Listed:
  • Sajan Srivastava

    (University of Pennsylvania, USA)

  • Tymofiy Mylovanov

    (University of Pittsburgh, USA)

  • Rakesh Vohra

    (University of Pennsylvania, USA)

Abstract

A bullshitter neither knows nor cares about the truth, and therefore, it has been asserted, is more pernicious than a liar. We examine this assertion within the standard model of cheap talk communication where a bullshitter is modeled as an uninformed Sender. We show that in some circumstances, uncertainty about whether the Sender is informed or not can increase the welfare of the Receiver.

Suggested Citation

  • Sajan Srivastava & Tymofiy Mylovanov & Rakesh Vohra, 2024. "Bayesian Bullshit," The Journal of Mechanism and Institution Design, Society for the Promotion of Mechanism and Institution Design, University of York, vol. 9(1), pages 13-53, December.
  • Handle: RePEc:jmi:articl:jmi-v9i1a3
    DOI: 10.22574/jmid.2024.12.003
    as

    Download full text from publisher

    File URL: http://www.mechanism-design.org/arch/v009-1/p_03.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22574/jmid.2024.12.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Bayesian persuasion; information design; cheap talk.;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jmi:articl:jmi-v9i1a3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Paul Schweinzer (email available below). General contact details of provider: https://edirc.repec.org/data/deyoruk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.