Evidence map›Paper›PMID 30225088›Full record

ArticleRoyal Society open science2018

Parasites and politics: why cross-cultural studies must control for relatedness, proximity and covariation.

Lindell Bromham, Xia Hua, Marcel Cardillo, Hilde Schneemann, Simon J Greenhill

Abstract read
In one paragraph

Article in Royal Society open science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

  1. Kava consumption and the rise of sociopolitical complexity in Oceania.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  7. Islands are engines of language diversity.Nature ecology & evolution · 2024
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  13. Why did foraging, horticulture and pastoralism persist after the Neolithic transition? The oasis theory of agricultural intensification.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
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  18. Review
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  20. From Text to Thought: How Analyzing Language Can Advance Psychological Science.Perspectives on psychological science : a journal of the Association for Psychological Science · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lindell BromhamMacroevolution and Macroecology, Division of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, Australian Capital Territory 0200, Australia.ORCID 0000-0003-2202-2609
Xia HuaMacroevolution and Macroecology, Division of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, Australian Capital Territory 0200, Australia.
Marcel CardilloMacroevolution and Macroecology, Division of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, Australian Capital Territory 0200, Australia.
Hilde SchneemannMacroevolution and Macroecology, Division of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, Australian Capital Territory 0200, Australia.
Simon J GreenhillARC Centre of Excellence for the Dynamics of Language, Australian National University, Canberra, Australian Capital Territory 0200, Australia.ORCID 0000-0001-7832-6156

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing number of studies seek to identify predictors of broad-scale patterns in human cultural diversity, but three sources of non-independence in human cultural variables can bias the results of cross-cultural studies. First, related cultures tend to have many traits in common, regardless of whether those traits are functionally linked. Second, societies in geographical proximity will share many aspects of culture, environment and demography. Third, many cultural traits covary, leading to spurious relationships between traits. Here, we demonstrate tractable methods for dealing with all three sources of bias. We use cross-cultural analyses of proposed associations between human cultural traits and parasite load to illustrate the potential problems of failing to correct for these three forms of statistical non-independence. Associations between parasite stress and sociosexuality, authoritarianism, democracy and language diversity are weak or absent once relatedness and proximity are taken into account, and parasite load has no more power to explain variation in traditionalism, religiosity and collectivism than other measures of biodiversity, climate or population size do. Without correction for statistical non-independence and covariation in cross-cultural analyses, we risk misinterpreting associations between culture and environment.

Indexed as

behavioural immune systemcultural evolutionGalton's problemphylogenetic comparative methodspatial autocorrelation

Identifiers

PMID30225088
PMCPMC6124128

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.