About Uncorrelated
Uncorrelated publishes independent quantitative research on human evolution, sociology, demographics, and artificial intelligence. The archive brings together statistical analyses, simulations, and essays about what the available evidence can tell us.
Research methods
The methods depend on the question. Articles use approaches including regression, comparisons across populations and time, forecasting, and simulation. For examples, explore the ancient genomes analysis and fertility forecasting research.
When reading an analysis, consider how the sample was selected, how variables were measured, and which assumptions connect the estimates to the conclusion. An association alone does not establish causation; a simulation describes the consequences of its inputs and assumptions.
Sources, data, and code
Follow an article’s citations to its references. Supplementary pages collect supporting material and, where available, downloadable figures, data, code, and links to external repositories. Availability varies by article.
Publication dates, update dates, authorship, and project status appear with the articles. Use that context when comparing findings across the archive.
Explore and follow
Browse by topic or search the articles. Subscribe to the RSS feed for new essays, or follow Uncorrelated on Substack.