A human corpse's biological sex can be determined by examining skeletal features of the skull

the verdict

SUPPORTED

the evidence backs this

Recorded sources

3 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Multiple forensic and anthropological studies confirm that biological sex can be reliably estimated by analyzing morphological, metric, and nonmetric skeletal features of the human skull.

The analysis

The retrieved papers consistently support the claim that skeletal features of the skull exhibit sexual dimorphism, allowing forensic anthropologists and researchers to estimate biological sex using cranial nonmetric traits, craniometric dimensions, and sinus morphology with high accuracy.

Evidence for · 3

Cranial Nonmetric Sexual Dimorphism and Sex Estimation in East and Southeast Asian Individuals

Recorded source metadata

Sean D. Tallman. Cranial Nonmetric Sexual Dimorphism and Sex Estimation in East and Southeast Asian Individuals. 2019. https://doi.org/10.5744/fa.2019.1010

Demonstrates that cranial nonmetric traits and statistical models can successfully estimate sex with high accuracy.

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More for · 2

Sex Determination Using Human Sphenoid Sinus in a Northeast Iranian Population: A Discriminant Function Analysis

Recorded source metadata

Seyed Ahmad Banihashem Rad, N. Anbiaee, S. Moeini, A. Bagherpour. Sex Determination Using Human Sphenoid Sinus in a Northeast Iranian Population: A Discriminant Function Analysis. 2023. https://doi.org/10.30476/dentjods.2022.92915.1685

Finds that sphenoid sinus volume measured via skull imaging serves as a reliable variable for sex determination in forensic contexts.

Source citation format

Exploratory analysis of new craniometric measures for the investigation of biological sex using open-access statistical and machine-learning tools on a cone-beam computed tomography sample.

Recorded source metadata

Machado CR, Curi JP, da Costa Moraes CA, Santos LV, Santos LV, Melani RFH, Chilvarquer I, Beaini TL. Exploratory analysis of new craniometric measures for the investigation of biological sex using open-access statistical and machine-learning tools on a cone-beam computed tomography sample.. 2024. https://doi.org/10.1007/s00414-024-03259-3

Shows that craniometric measurements of the skull correlate strongly with biological sex and enable accurate sex prediction.

Source citation format

The paper trail · every fact has a biography

first checked01 Aug 2026

judged → SUPPORTED · 8401 Aug 2026

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