Evidence map›Paper›PMID 33510392›Full record

ArticleNature human behaviour2021

Competition for priority harms the reliability of science, but reforms can help.

Leonid Tiokhin, Minhua Yan, Thomas J H Morgan

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Nature human behaviour, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Is Open Science Neoliberal?Perspectives on psychological science : a journal of the Association for Psychological Science · 2023
    Article
  6. Review
  7. From evolutionary ecosystem simulations to computational models of human behavior.Wiley interdisciplinary reviews. Cognitive science · 2022
    Review
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Leonid TiokhinHuman-Technology Interaction Group, Eindhoven University of Technology, Eindhoven, the Netherlands. leotiokhin@gmail.com.ORCID http://orcid.org/0000-0001-7333-0383
Minhua YanSchool of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA.ORCID http://orcid.org/0000-0003-1650-4011
Thomas J H MorganSchool of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA.ORCID http://orcid.org/0000-0002-2848-8461

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Incentives for priority of discovery are hypothesized to harm scientific reliability. Here, we evaluate this hypothesis by developing an evolutionary agent-based model of a competitive scientific process. We find that rewarding priority of discovery causes populations to culturally evolve towards conducting research with smaller samples. This reduces research reliability and the information value of the average study. Increased start-up costs for setting up single studies and increased payoffs for secondary results (also known as scoop protection) attenuate the negative effects of competition. Furthermore, large rewards for negative results promote the evolution of smaller sample sizes. Our results confirm the logical coherence of scoop protection reforms at several journals. Our results also imply that reforms to increase scientific efficiency, such as rapid journal turnaround times, may produce collateral damage by incentivizing lower-quality research; in contrast, reforms that increase start-up costs, such as pre-registration and registered reports, may generate incentives for higher-quality research.

Indexed as

Competitive BehaviorMotivationReproducibility of ResultsResearchRewardHumansRegistries

Identifiers

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.