Evidence map›Paper›PMID 27836628›Full record

ArticleConsciousness and cognition2017

Optimistic update bias holds firm: Three tests of robustness following Shah et al.

Neil Garrett, Tali Sharot

Abstract read
In one paragraph

Article in Consciousness and cognition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed.

  1. Updating Beliefs under Perceived Threat.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Trial
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  7. The Anterior Insula Processes a Time-Resolved Subjective Risk Prediction Error.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  8. Review
  9. Lesions to Different Regions of the Frontal Cortex Have Dissociable Effects on Voluntary Persistence in Humans.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  10. Towards an expanded neurocognitive account of ketamine's rapid antidepressant effects.The international journal of neuropsychopharmacology · 2025
    Review
  11. Article
  12. Article
  13. The Universal Optimism of the Self-Evidencing Mind.Entropy (Basel, Switzerland) · 2024
    Article
  14. Article
  15. Article
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  18. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Neil GarrettAffective Brain Lab, Department of Experimental Psychology, University College London, London, UK.
Tali SharotAffective Brain Lab, Department of Experimental Psychology, University College London, London, UK. Electronic address: t.sharot@ucl.ac.uk.

Funding

Wellcome Trust
6 · The paper itself

Abstract

A diverse body of research has demonstrated that people update their beliefs to a greater extent when receiving good news compared to bad news. Recently, a paper by Shah et al. claimed that this asymmetry does not exist. Here we carefully examine the experiments and simulations described in Shah et al. and follow their analytic approach on our data sets. After correcting for confounds we identify in the experiments of Shah et al., an optimistic update bias for positive life events is revealed. Contrary to claims made by Shah et al., we observe that participants update their beliefs in a more Bayesian manner after receiving good news than bad. Finally, we show that the parameters Shah et al. pre-selected for simulations are at odds with participants' data, making these simulations irrelevant to the question asked. Together this report makes a strong case for a true optimistic asymmetry in belief updating.

Indexed as

Bayes TheoremEmotionsAdultFemaleHumansMaleOptimismYoung Adult

Identifiers

PMID27836628
PMCPMC5380127

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.