Evidence map›Paper›PMID 30684250›Full record

ArticlePsychonomic bulletin & review2019

A statistical test for the optimality of deliberative time allocation.

Rahul Bhui

Abstract read
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In one paragraph

Article in Psychonomic bulletin & review, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Information sampling and Bayesian belief formation in statistical judgment.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

1 author.

Rahul BhuiDepartments of Psychology and Economics & Center for Brain Science, Harvard University, 52 Oxford St, Cambridge, MA, 02138, USA. rbhui@g.harvard.edu.ORCID http://orcid.org/0000-0002-6303-8837

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whenever we make a choice, we must also decide how much time to spend making it. Many theories of decision-making crucially assume that this deliberation perfectly balances the costs of time expenditure and the benefits of better decisions. However, might we "overthink" or "underthink" decisions? Here, I propose and implement a method to precisely determine whether people are optimally spending their time on deliberation, accounting for individual preferences. This test evaluates the consistency of underlying preferences for time when incentives change, which is a necessary condition for optimality. This enables a more comprehensive analysis of rationality in a variety of contexts. I demonstrate how the test can reveal departures from optimality using two motion discrimination experiments in which I vary task difficulty and monetary incentives.

Indexed as

Decision MakingModels, StatisticalReaction TimeAdultFemaleHumansIndividualityMaleMiddle AgedModels, PsychologicalProbabilityPsychological TheoryRewardTime ManagementYoung AdultDecision makingOptimalityResponse timeSequential sampling modelsSpeed-accuracy tradeoff

Identifiers

What OpenQuestion holds

Textmetadata
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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.