Evidence map›Paper›PMID 36927152›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Reproductive variance can drive behavioral dynamics.

Guocheng Wang, Qi Su, Long Wang, Joshua B Plotkin

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
15.0field-weighted citation impact, top 1% of its field
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

6 citing papers in PubMed, 26 citations in OpenAlex.

  1. Behavioral alignment in social networks.National science review · 2025
    Article
  2. Reconciling ecology and evolutionary game theory or "When not to think cooperation".Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Altruism and natural selection in a variable environment.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. The evolution of social behaviors and risk preferences in settings with uncertainty.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Deterministic theory of evolutionary games on temporal networks.Journal of the Royal Society, Interface · 2024
    Article
  6. Article
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

4 authors at 2 institutions in 2 countries.

Guocheng WangCenter for Systems and Control, College of Engineering, Peking University, Beijing 100871, China.
Qi SuCenter for Mathematical Biology, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-6490-686X
Long WangCenter for Systems and Control, College of Engineering, Peking University, Beijing 100871, China.ORCID 0000-0001-5600-8157
Joshua B PlotkinCenter for Mathematical Biology, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0003-2349-6304
Peking University · CNUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of fitness is central to evolution, but it quantifies only the expected number of offspring an individual will produce. The actual number of offspring is also subject to demographic stochasticity-that is, randomness associated with birth and death processes. In nature, individuals who are more fecund tend to have greater variance in their offspring number. Here, we develop a model for the evolution of two types competing in a population of nonconstant size. The fitness of each type is determined by pairwise interactions in a prisoner's dilemma game, and the variance in offspring number depends upon its mean. Although defectors are preferred by natural selection in classical population models, since they always have greater fitness than cooperators, we show that sufficiently large offspring variance can reverse the direction of evolution and favor cooperation. Large offspring variance produces qualitatively new dynamics for other types of social interactions, as well, which cannot arise in populations with a fixed size or with a Poisson offspring distribution.

Indexed as

Cooperative BehaviorGame TheoryHumansPopulation DensityPopulation DynamicsSelection, Geneticcooperationdemographic stochasticityevolutionary game theoryover-dispersion

Identifiers

PMID36927152
PMCPMC10041125
OpenAlexW4327566789

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.