Why your eyes might deceive you when analyzing university data
In short: Can statistics be used to prove bias, or do they sometimes hide it? This video explores how Simpson's Paradox can lead to misleading conclusions about university admissions and gender-based earnings.
The video examines the nuances of statistical interpretation by revisiting Simpson's Paradox. It demonstrates how trends appearing in different subsets of data—such as college majors or specific demographics—can disappear or reverse when those groups are combined into a single aggregate.
By applying these principles to university admissions and gender-based earnings, the content highlights why raw numbers can be deceptive. It serves as a cautionary guide for interpreting complex social data, illustrating that understanding the underlying variables is essential to identifying true patterns of bias.
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Sources
- Summary by Intellect · source: Are University Admissions Biased? | Simpson's Paradox Part 2
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