IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v70y2024i12p8541-8555.html
   My bibliography  Save this article

The Prediction Order Effect: People Are More Likely to Choose Improbable Outcomes in Later Predictions

Author

Listed:
  • Jackie Silverman

    (Marketing, Lerner College of Business and Economics, University of Delaware, Newark, Delaware 19716)

  • Uri Barnea

    (Marketing, Bocconi University, 20136 Milan, Italy)

Abstract

People often need to predict the outcomes of future events. We investigate the influence of order on such forecasts. Six preregistered studies ( n = 7,955) show that people are more likely to forecast improbable outcomes (e.g., that an “underdog” will win a game) for predictions they make later versus earlier within a sequence of multiple predictions. This effect generalizes across several contexts and persists when participants are able to revise their predictions as well as when they are incentivized to make correct predictions. We propose that this effect is driven by people’s assumption that improbable outcomes are bound to occur at some point within small sets of independent events (i.e., “belief in the law of small numbers”). Accordingly, we find that the effect is attenuated when the statistical independence of events is made salient to forecasters both through the nature of the predictions themselves (i.e., when the events are from distinct domains) and through directly informing them about statistical independence. These findings have notable practical implications, as policy makers and businesses have the ability to control the order in which people evaluate and predict future events.

Suggested Citation

  • Jackie Silverman & Uri Barnea, 2024. "The Prediction Order Effect: People Are More Likely to Choose Improbable Outcomes in Later Predictions," Management Science, INFORMS, vol. 70(12), pages 8541-8555, December.
  • Handle: RePEc:inm:ormnsc:v:70:y:2024:i:12:p:8541-8555
    DOI: 10.1287/mnsc.2022.01175
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2022.01175
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2022.01175?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
    ---><---

    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:inm:ormnsc:v:70:y:2024:i:12:p:8541-8555. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.