| Title |
Negative frequency-dependent preferences and variation in male facial hair
|
|---|---|
| Published in |
Biology Letters, April 2014
|
| DOI | 10.1098/rsbl.2013.0958 |
| Pubmed ID | |
| Authors | |
| Abstract |
Negative frequency-dependent sexual selection maintains striking polymorphisms in secondary sexual traits in several animal species. Here, we test whether frequency of beardedness modulates perceived attractiveness of men's facial hair, a secondary sexual trait subject to considerable cultural variation. We first showed participants a suite of faces, within which we manipulated the frequency of beard thicknesses and then measured preferences for four standard levels of beardedness. Women and men judged heavy stubble and full beards more attractive when presented in treatments where beards were rare than when they were common, with intermediate preferences when intermediate frequencies of beardedness were presented. Likewise, clean-shaven faces were least attractive when clean-shaven faces were most common and more attractive when rare. This pattern in preferences is consistent with negative frequency-dependent selection. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 29 | 20% |
| United Kingdom | 18 | 12% |
| Canada | 7 | 5% |
| Sweden | 6 | 4% |
| Russia | 4 | 3% |
| Japan | 4 | 3% |
| New Zealand | 3 | 2% |
| Australia | 3 | 2% |
| France | 2 | 1% |
| Other | 16 | 11% |
| Unknown | 56 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 121 | 82% |
| Scientists | 19 | 13% |
| Science communicators (journalists, bloggers, editors) | 7 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 3% |
| Switzerland | 2 | 1% |
| United States | 1 | <1% |
| Serbia | 1 | <1% |
| Portugal | 1 | <1% |
| Panama | 1 | <1% |
| Japan | 1 | <1% |
| Hungary | 1 | <1% |
| France | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 144 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 31 | 19% |
| Student > Ph. D. Student | 30 | 19% |
| Student > Bachelor | 23 | 14% |
| Researcher | 20 | 13% |
| Professor > Associate Professor | 12 | 8% |
| Other | 24 | 15% |
| Unknown | 20 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 71 | 44% |
| Psychology | 31 | 19% |
| Biochemistry, Genetics and Molecular Biology | 8 | 5% |
| Social Sciences | 5 | 3% |
| Medicine and Dentistry | 5 | 3% |
| Other | 19 | 12% |
| Unknown | 21 | 13% |