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The Study

Interpretation of the Analysis of Stable Nitrogen and Carbon Isotopes in Human and Animal Bone Tissue (Selivanovsky II Burial Ground in the Southern Trans-Urals)

In simple terms

This study looked at the chemical traces in ancient bones to guess what people and animals ate long ago. It can tell us that these people probably ate more meat and milk than animals, but it can't prove that eating meat made them who they were.

29%

Analysis score

29/ 44

Maximum 44 for a cross-sectional study.

Where the score came from

Reporting0
Methodology3
Publication100
Statistical31
Study type (basis of the score)
Cross-Sectional Study
Level 4 - Case series
What’s the bottom line?

Scientists studied bones from ancient people and their animals to figure out what they ate long ago.

Where does this study sit?

Reviews of RCTs (Meta-analyses)

Max 100

Randomized Trials

Max 90

Reviews of Cohort Studies

Max 85

Cohort Studies

Max 72

Reviews of Case-Control Studies

Max 63

Case-Control Studies

Max 58

Cross-Sectional & Case Series

Max 50

Expert Opinion

Max 5
StrongerWeaker
Cross-Sectional & Case Series
Level 4
29

29 / 100

Quality score

Snapshots of a population at a single point in time, or descriptions of small groups. Can identify correlations and prevalence, but cannot determine cause and effect.

Cannot establish causation

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Key takeaways

Summary

Based on the study abstract and findings.

  1. 1This means they ate mostly beef and horse meat/dairy — like a protein-heavy diet with no fish or grains — which was normal for their time and place.
  2. 2Human bones had nitrogen levels (δ¹⁵N: 9.7–11.15‰) much higher than cows and horses (4.6–5.35‰), meaning humans ate mostly meat and dairy.
  3. 3Their carbon levels (δ¹³C: –19.16‰ to –18.57‰) show they didn’t eat fish or corn-like plants.

Score breakdown, methodology, conflicts of interest, evidence analysis & raw study data

Publication

Journal

Problems of Archaeology, Ethnography, Anthropology of Siberia and Neighboring Territories

Year

2025

Authors

A.V. Epimakhov, E.O. Vasyuchkov, Y.V. Rafikova

Open Access
Analysis v5
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