Related Experiment Video
Updated: Jul 13, 2025

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
Published on: February 19, 2018
Neighbours and relatives: accounting for spatial distribution when testing causal hypotheses in cultural evolution
Lindell Bromham1, Keaghan J Yaxley1
1Macroevolution and Macroecology, Research School of Biology, Australian National University, Canberra, ACT 2601, Australia.
Cross-cultural correlations often misinterpret neighbor similarity as causation. This study shows proximity, not direct links, explains many cultural trait associations, offering methods to distinguish true causal relationships.
Area of Science:
- Cultural Evolution
- Anthropology
- Sociology
Background:
- Cross-cultural correlations are widely used to test hypotheses about cultural evolution.
- Associations between environmental factors and cultural traits are often interpreted as causal.
Purpose of the Study:
- To evaluate how geographic proximity influences cross-cultural correlations.
- To distinguish genuine causal links from spurious associations due to shared cultural heritage.
Main Methods:
- Analysis of existing cross-cultural correlation studies.
- Examination of how geographic proximity can create indirect associations.
- Development of strategies to differentiate incidental from causal relationships.
Main Results:
- Many significant cross-cultural correlations can be explained by the similarity between neighboring cultures.
- Geographic proximity can lead to misinterpretations of direct causal links between environment and culture.
Conclusions:
- The influence of cultural proximity must be considered when interpreting cross-cultural correlations.
- Methodological advancements are needed to accurately identify causal relationships in cultural evolution studies.
Related Concept Videos
Criticisms of the Evolutionary Perspective
Evolutionary psychology provides one explanation for these findings, suggesting...
Test for Homogeneity
Genetics of Speciation
The Evidence for Evolution
Causality in Epidemiology
Statistical Hypothesis Testing
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...

