Variability hypothesis

Two normal distributions with equal means but different standard deviations.
Two distribution curves with identical means but different variabilities. The curve with the greater variability (green) yields higher values in both the lowest and highest ends of the range.

The variability hypothesis, also known as the greater male variability hypothesis, is the hypothesis that males generally display greater variability in traits than females do.

It has often been discussed in relation to human cognitive ability, where some studies appear to show that males are more likely than females to have either very high or very low IQ test scores. In this context, there is controversy over whether such sex-based differences in the variability of intelligence exist, and if so, whether they are caused by genetic differences, environmental conditioning, or a mixture of both.

Sex-differences in variability have been observed in many abilities and traits – including physical, psychological and genetic ones – across a wide range of sexually dimorphic species. On the genetic level, the greater phenotype variability in males is likely to be associated with human males being a heterogametic sex, while females are homogametic and thus are more likely to display averaged traits in their phenotype.[1]

  1. ^ Wilson Sayres, Melissa A (21 February 2018). "Genetic Diversity on the Sex Chromosomes". Genome Biology and Evolution. 10 (4): 1064–1078. doi:10.1093/gbe/evy039. PMC 5892150. PMID 29635328.