Professor Russell Hill r.a.hill@durham.ac.uk
Professor
Red enhances human performance in contests
Hill, R.A.; Barton, R.A.
Authors
Professor Robert Barton r.a.barton@durham.ac.uk
Professor
Abstract
Signals biologically attributed to red coloration in males may operate in the arena of combat sports. Red coloration is a sexually selected, testosterone-dependent signal of male quality in a variety of animals and in some non-human species a male's dominance can be experimentally increased by attaching artificial red stimuli. Here we show that a similar effect can influence the outcome of physical contests in humans — across a range of sports, we find that wearing red is consistently associated with a higher probability of winning. These results indicate not only that sexual selection may have influenced the evolution of human response to colours, but also that the colour of sportswear needs to be taken into account to ensure a level playing field in sport.
Citation
Hill, R., & Barton, R. (2005). Red enhances human performance in contests. Nature, 435(7040), https://doi.org/10.1038/435293a
Journal Article Type | Article |
---|---|
Publication Date | May 19, 2005 |
Deposit Date | Sep 8, 2008 |
Journal | Nature |
Print ISSN | 0028-0836 |
Electronic ISSN | 1476-4687 |
Publisher | Nature Research |
Peer Reviewed | Peer Reviewed |
Volume | 435 |
Issue | 7040 |
DOI | https://doi.org/10.1038/435293a |
Public URL | https://durham-repository.worktribe.com/output/1599878 |
You might also like
Behavioural compatibility, not fear, best predicts the looking patterns of chacma baboons
(2024)
Journal Article
Keystone individuals – linking predator traits to community ecology
(2024)
Journal Article
Leopard density and determinants of space use in a farming landscape in South Africa
(2024)
Journal Article
Tropical field stations yield high conservation return on investment
(2024)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search