This paper builds off previous research into the effect of population size and resource risk on complexity of subsistence technology by investigating the relationship between these independent variables and total number of material items and techniques used by various western North American hunter-gatherer groups. This tally of total technological complexity is found to be insignificantly related to population size or residential mobility; however, there is a significant correlation in the expected direction between technological complexity and one measure of resource risk (mean annual temperature during driest month). Tying this finding to previous analyses of subsistence technologies, the authors theorize that environmental risk is a pervasive driver of technological ingenuity and cultural evolution.

The authors assemble an inventory of burning practices based on cross-cultural ethnographic data in order to elucidate or provide interpretive range for burning patterns seen in the archaeological record. Although no explicit hypotheses are tested, descriptive generalizations are proposed.

By analyzing patterns of between- and within-population musical variability among 16 Austronesian-speaking aboriginal groups, the researchers hope to evaluate degree of similarity to structures of human genetic diversity. As in the genetic domain, within-population variance is found to be much higher than between-population variance, leading the researchers to suggest that patterns of musical distance and divergence may serve as an indicator of cultural evolution.

Jorgensen revisits Driver’s 1974 study of the various explanations for kin avoidances which mainly focused on North America, and broadens the scope to include a world-wide sample. In his work he brings up what he believes to be flaws in the comparative method, arguing that Driver’s work did not properly test for the independence of the correlations. Jorgensen revisits over 50 different variables in order to test for ‘all relationships among all categories.’ Overall, the results that he found agreed with Driver’s work, but presented a more transparent overview. See the article for the individual clusterings of Phi Coefficients for the set of 21 variables set as well as the set of 50 variables.

This paper investigates the presence of gambling in preindustrial societies. Analysis shows that the presence of gambling can be predicted by region, the presence of domestic commercial money, socioeconomic inequality, and mobility combined with food supply from animal husbandry. The author suggests that the ideas underlying the Friedman-Savage utility function (1984) can be helpful in making predictions about which precapitalist societies do and which do not engage in gambling.

This chapter examines the differences in Rorschach percepts among people of different cultures and different geographic areas. Several patterns are observed.

The authors examine multiple ecological variables as possible predictors of language diversity in North America using path analysis, mechanistic simulation modelling, and geographically weighted regression. They conclude that many of the variables do not predict language diversity, but rather are mediated by population density. The authors also find that the variables' ability to predict is not universal across the continent, but rather more regional.

This article presents a representative theoretical model of the transition to agriculture. Empirical results from a cross-cultural sample provide support for the model. Results suggest that agriculture is associated with population density, technological sophistication, environment, and proximity to agricultural hearths, such as the Fertile Crescent.

Researchers investigated further into why and how humans speak so many languages across the globe, and why they are spread out unevenly. Using two different path analyses, a Stationary Path analysis and a GWPath, researchers tested the effect of eight different factors on language diversity. Out of the eight variables (river density, topographic complexity, ecoregion richness, temperature and precipitation constancy, climate change velocity, population density, and carrying capacity with group size limits), population density, carrying capacity with group size limit, and ecoregion richness had the strongest direct effects. Overall, the study revealed the role of multiple different mechanisms in shaping language richness patterns. The GWPath showed that not only does the most important predictor of language diversity vary over space, but predictors can also vary in the direction of their effects in different regions. They conclude that there is no universal predictor of language richness.

This paper asks if meteorological data can help predict instances of drought and flood in the ethnographic record, with the goal of being able to use such data to more easily evaluate the effect of climate/weather on cultural beliefs, practices, and attitudes. The authors develop several indices of droughts, floods, and extreme weather and test them by applying data from weather stations in close proximity to SCCS societies and comparing the predictions to ethnographic accounts of natural hazards. Weather data included daily precipitation, minimum temperature, and maximum temperature dating back as far as the 1950s. The authors found that precipitation - evaporation (P-E) measures and Palmer Drought Severity Index (PDSI) overpredicted droughts, whereas a combined drought measure underpredicted droughts, and that the flood indices generally were not very useful in predicting flood events. The authors suggest using P-E measures and PDSI to hindcast the presence of droughts, and the combined drought measure to hindcast the absence of droughts. They suggest that the overprediction of both floods and droughts is a result of extreme weather not necessarily having a severe impact on crop yields.