Evidence map›Paper›PMID 41398017›Full record

ArticleScientific reports2025

Generalized Galton's boards explain social phenomena via statistical physics.

Gennaro Auricchio, Massimiliano Ghiotto, Stefano Gualandi, Giuseppe Toscani

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gennaro AuricchioDepartment of Mathematics, University of Padua, Padova, 35131, Italy.
Massimiliano GhiottoDepartment of Mathematics, University of Pavia, Pavia, 27100, Italy. massimiliano.ghiotto01@universitadipavia.it.
Stefano GualandiDepartment of Mathematics, University of Pavia, Pavia, 27100, Italy.
Giuseppe ToscaniDepartment of Mathematics, University of Pavia, Pavia, 27100, Italy.

Funding

NextGenerationEU CN_00000013
6 · The paper itself

Abstract

Many aspects of our society are shaped by the repeated occurrence of small, random events. For instance, our personal wealth evolves based on how we spend and exchange money, while our opinions are constantly changing as a result of repeated interactions with both others and social media. This idea that the persistent repetition of random events can profoundly impact individuals was insightfully captured by Sir Francis Galton. He illustrated this concept using the device that now bears his name: Galton's board. In this paper, we revisit the mathematical principles underlying Galton's board and frame them within the broader context of statistical mechanics. We illustrate how the mechanisms behind the board can be generalized to model a wide range of social phenomena and to capture, in a new and simple way, the universal profile emerging from the details of the repeated elementary interactions.

Indexed as

Kinetic modelMathematical modellingSocial science

Identifiers

PMID41398017
PMCPMC12765002

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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.