IDEAS home Printed from https://ideas.repec.org/a/ucp/jlstud/doi10.1086-716202.html
   My bibliography  Save this article

An Aggregation Theory of Character Evidence

Author

Listed:
  • Hillel J. Bavli

Abstract

Courts frequently depart from Federal Rule of Evidence 404, which prohibits evidence of a person’s prior acts to prove that the person acted according to a certain character. This leads to verdicts that are unpredictable and based on behavior not at issue in a case. I develop a theory of aggregation evidence, a new concept that draws on principles of estimation and data aggregation in statistics and ties together evidence from a broad range of contexts. I apply this theory to analyze the effects of character evidence on accuracy and to understand why and when courts depart from the rule against character evidence. I show that a type of character evidence that I call objective-chance evidence stands apart from other forms of character evidence in its ability to improve accuracy. I then argue that a formal exception for this type of evidence may lead to a more coherent rule.

Suggested Citation

  • Hillel J. Bavli, 2022. "An Aggregation Theory of Character Evidence," The Journal of Legal Studies, University of Chicago Press, vol. 51(1), pages 39-62.
  • Handle: RePEc:ucp:jlstud:doi:10.1086/716202
    DOI: 10.1086/716202
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/716202
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: http://dx.doi.org/10.1086/716202
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: https://libkey.io/10.1086/716202?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:ucp:jlstud:doi:10.1086/716202. 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: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/JLS .

    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.