There is no belief update bias for neutral events: Failure to replicate Burton et al. (2022)

Neil Garrett, Tali Sharot

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Abstract

In a recent paper, Burton et al. claim that individuals update beliefs to a greater extent when learning an event is less likely compared to more likely than expected. Here, we investigate Burton’s et al.’s, findings. First, we show how Burton et al.’s data do not in fact support a belief update bias for neutral events. Next, in an attempt to replicate their findings, we collect a new data set employing the original belief update task design, but with neutral events. A belief update bias for neutral events is not observed. Finally, we highlight the statistical errors and confounds in Burton et al.’s design and analysis. This includes mis-specifying a reinforcement learning approach to model the data and failing to follow standard computational model fitting sanity checks such as parameter recovery, model comparison and out of sample prediction. Together, the results find little evidence for biased updating for neutral events.

Original languageEnglish
Pages (from-to)876-886
Number of pages11
JournalJournal of Cognitive Psychology
Volume35
Issue number8
Early online date14 Aug 2023
DOIs
Publication statusPublished - Oct 2023

Keywords

  • Optimism
  • asymmetric learning
  • belief updating

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