This article examines the relationship between pathogen stress and polygyny. Results indicate that there is a positive association between the two that is not confounded by geographic region, latitude, population density, male-male competition, or presence of brideprice. In particular, pathogen stress precicts higher levels of non-sororal polygyny and capturing women for wives or concubines.

This article examines the relationship between pathogen stress and polygyny. Results indicate that there is a positive association between the two that is not confounded by geographic region, latitude, population density, male-male competition, or presence of brideprice. In particular, pathogen stress precicts higher levels of non-sororal polygyny and capturing women for wives or concubines.

This article examines the relationship between pathogen stress and polygyny. Results indicate that there is a positive association between the two that is not confounded by geographic region, latitude, population density, male-male competition, or presence of brideprice. In particular, pathogen stress precicts higher levels of non-sororal polygyny and capturing women for wives or concubines.

Researchers examine marriage patterns of 186 societies from the Standard Cross-Cultural Sample (SCCS). The eleven predictor variables are pathogen stress, arranged female marriages, population density, father roles during infancy, temperature, social stratification, wealth inequality, internal warfare, assault frequency, female agricultural contribution, and sex ratio. The two outcome variables measuring polygyny are cultural rules constraining polygyny and the percentage of married men who are polygynous. Controlling on phylogeny using a global supertree of the languages, analysis of marriage patterns reveals that assault frequency and pathogen stress are the strongest predictors of polygyny. These findings offer additional support for the theories of harem-defense polygyny and male genetic quality.

Researchers examine marriage patterns of 186 societies from the Standard Cross-Cultural Sample (SCCS). The eleven predictor variables are pathogen stress, arranged female marriages, population density, father roles during infancy, temperature, social stratification, wealth inequality, internal warfare, assault frequency, female agricultural contribution, and sex ratio. The two outcome variables measuring polygyny are cultural rules constraining polygyny and the percentage of married men who are polygynous. Controlling on phylogeny using a global supertree of the languages, analysis of marriage patterns reveals that assault frequency and pathogen stress are the strongest predictors of polygyny. These findings offer additional support for the theories of harem-defense polygyny and male genetic quality.

Researchers examine marriage patterns of 186 societies from the Standard Cross-Cultural Sample (SCCS). The eleven predictor variables are pathogen stress, arranged female marriages, population density, father roles during infancy, temperature, social stratification, wealth inequality, internal warfare, assault frequency, female agricultural contribution, and sex ratio. The two outcome variables measuring polygyny are cultural rules constraining polygyny and the percentage of married men who are polygynous. Controlling on phylogeny using a global supertree of the languages, analysis of marriage patterns reveals that assault frequency and pathogen stress are the strongest predictors of polygyny. These findings offer additional support for the theories of harem-defense polygyny and male genetic quality.

This article examines the relationship between pathogen stress and polygyny. Results indicate that there is a positive association between the two that is not confounded by geographic region, latitude, population density, male-male competition, or presence of brideprice. In particular, pathogen stress precicts higher levels of non-sororal polygyny and capturing women for wives or concubines.

Researchers examine marriage patterns of 186 societies from the Standard Cross-Cultural Sample (SCCS). The eleven predictor variables are pathogen stress, arranged female marriages, population density, father roles during infancy, temperature, social stratification, wealth inequality, internal warfare, assault frequency, female agricultural contribution, and sex ratio. The two outcome variables measuring polygyny are cultural rules constraining polygyny and the percentage of married men who are polygynous. Controlling on phylogeny using a global supertree of the languages, analysis of marriage patterns reveals that assault frequency and pathogen stress are the strongest predictors of polygyny. These findings offer additional support for the theories of harem-defense polygyny and male genetic quality.

This study tests the association between pathogen risk and degree of polygyny and sexual advertisement. Results show that the greater the risk of serious pathogens, the greater the degree of polygyny. The correlation between pathogen risk and sexual signals is only marginally significant. An association between mate choice and resource control is also examined.

This study tests the association between pathogen risk and degree of polygyny and sexual advertisement. Results show that the greater the risk of serious pathogens, the greater the degree of polygyny. The correlation between pathogen risk and sexual signals is only marginally significant. An association between mate choice and resource control is also examined.