Evidence map›Paper›PMID 26553988›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Using prediction markets to estimate the reproducibility of scientific research.

Anna Dreber, Thomas Pfeiffer, Johan Almenberg, Siri Isaksson, Brad Wilson, Yiling Chen, Brian A Nosek, Magnus Johannesson

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 2 pooled it
–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

65 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  7. Subjective Confidence as a Monitor of the Replicability of the Response.Perspectives on psychological science : a journal of the Association for Psychological Science · 2025
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  14. Americans harbor much less favorable explicit sentiments toward young adults than toward older adults.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Article
  16. Review
  17. Academics are more specific, and practitioners more sensitive, in forecasting interventions to strengthen democratic attitudes.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  20. Review

5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Anna DreberDepartment of Economics, Stockholm School of Economics, SE-113 83 Stockholm, Sweden; anna.dreber@hhs.se.
Thomas PfeifferNew Zealand Institute for Advanced Study, Massey University, Auckland 0745, New Zealand; Wissenschaftskolleg zu Berlin-Institute for Advanced Study, D-14193 Berlin, Germany;
Johan AlmenbergSveriges Riksbank, SE-103 37 Stockholm, Sweden;
Siri IsakssonDepartment of Economics, Stockholm School of Economics, SE-113 83 Stockholm, Sweden;
Brad WilsonConsensus Point, Nashville, TN 37203;
Yiling ChenJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138;
Brian A NosekDepartment of Psychology, University of Virginia, Charlottesville, VA 22904; Center for Open Science, Charlottesville, VA 22903.
Magnus JohannessonDepartment of Economics, Stockholm School of Economics, SE-113 83 Stockholm, Sweden;

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Concerns about a lack of reproducibility of statistically significant results have recently been raised in many fields, and it has been argued that this lack comes at substantial economic costs. We here report the results from prediction markets set up to quantify the reproducibility of 44 studies published in prominent psychology journals and replicated in the Reproducibility Project: Psychology. The prediction markets predict the outcomes of the replications well and outperform a survey of market participants' individual forecasts. This shows that prediction markets are a promising tool for assessing the reproducibility of published scientific results. The prediction markets also allow us to estimate probabilities for the hypotheses being true at different testing stages, which provides valuable information regarding the temporal dynamics of scientific discovery. We find that the hypotheses being tested in psychology typically have low prior probabilities of being true (median, 9%) and that a "statistically significant" finding needs to be confirmed in a well-powered replication to have a high probability of being true. We argue that prediction markets could be used to obtain speedy information about reproducibility at low cost and could potentially even be used to determine which studies to replicate to optimally allocate limited resources into replications.

Indexed as

ForecastingResearchScienceCommerceProbabilityReproducibility of ResultsSurveys and Questionnairesprediction marketsreplicationsreproducibility

Identifiers

PMID26553988
PMCPMC4687569

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.