The authors develop CantoCore, an expansion of Lomax's Cantometrics scheme, in order to code for additional candidate musical universals. No musical feature occurs with absolute universality, but several features occur with statistically significant frequency after controlling for historical relatedness, and an additional set of features were found to be universally related to each other. The authors highlight the role of these features in human coordination and cohesion, as well as their their utility to the fields of musical cognition and evolution.

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.

This study explores the prevalence of group singing and its relationship with changes in social organization's participatory dynamics, precisely community size and social differentiation. The authors use two samples: 1) 5776 audio recordings from 1024 societies and 2) 4709 ethnographic texts from 60 societies. There is significant support that group singing is more prevalent than solo singing. The results also show that community size predicts group singing in only one of the samples (GJB). However, there is no significant support for social differentiation as a predictor of group singing.

The authors examine musical diversity in India using cantometric data from 32 Indian societies with the goal of better understanding how music varies between and within cultures. They find very minor musical differences between language families, greater diversity between societies but within language families, and the most variation within societies.

By testing relationships between musical, geographic, genetic, and linguistic distance among nine indigenous groups in Taiwan, the researchers aim to quantitatively evaluate a developing theory of coevolution between these traits. An especially strong correlation between musical variability and genetic distance suggests that music may possess worldwide time depth, diversity, and universality equal to or greater than that of language, and could thus serve as a complementary marker for reconstruction of long-term population shifts.

This study challenges the Big Gods hypothesis, which suggests that moral gods are a critical factor that preceded the evolution of complex societies. Using the Seshat database, the authors expanded the codebook and database of their retracted article (see notes). The results show significant support that sociopolitical complexity and moralizing gods are associated and that sociopolitical complexity appears to precede the presence of Big Gods. The authors also show some support that sociopolitical complexity might be a driving factor of moralizing gods. Still, they state that the results are incomplete since they only focus on the possibility of reciprocal causality.

Researchers tackle the moral gods hypothesis which proposes that moral gods enabled large-scale societies to evolve. They use 414 societies spanning 10,000 years in Seshat: Global History Databank and code 51 measures of social complexity and four measures of moral gods. The findings of the present study challenge the moral gods hypothesis. In the societies studied, complex societies appear to precede moral gods rather than the inverse of moral gods preceding complex societies.

This article explores the possible relationship between the cultural evolution of language, music, and genetic variation beyond the level of language families. Due to their linguistic diversity, the authors use a sample of 14 Northeast Asian societies with matching information on their music, genetics, and linguistic patterns. The variables measuring language are lexicon, phonology, and grammar. Then, the authors compare each variable's relationship to music and genetic variation. The results only show a significant correlation between grammar and genetic variation.

How did moralizing religions rise, and what have they caused? The authors test the Big Gods theory, which suggests moralizing religions as a predictor of large-scale complex societies. In addition, they propose their hypothesis, which indicates that warfare, animal husbandry, and agricultural productivity have a role in producing moralizing religions. The results show no significant support for the Big Gods hypothesis. However, they support intergroup warfare, particularly military technologies and cavalry, as an important predictor of social complexity and moralizing religions. In addition, pastoralism has a moderate effect as a predictor for the rise of moralizing religions.

Using the compiled database "Seshat: Global History Databank," researchers sampled 30 societies from 10 distinct regions of the world, testing 51 variables that were condensed into 9 "complex characteristic" variables. Researchers tested for correlates in how societies evolve structurally. Utilizing principal component analysis it was demonstrated that the complex characteristic variables were strongly associated, leading to theorization of structural and social evolution predictability.