Lonnie Besançon
Postdoctoral researcher in human–computer interaction and visualization studying how visualizations communicate statistical uncertainty and how design can reduce dichotomous interpretation of p-values and confidence intervals.
Best podcasts with Lonnie Besançon
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Mar 20, 2020 • 33min
Visualizing Uncertainty
Lonnie Besançon, a postdoc studying HCI and visualization of statistical uncertainty, explores how design shapes interpretation. He discusses the arbitrary 0.05 threshold, the cliff effect around p-values, and how novel visuals like gradient rectangles and violin-style CIs can soften binary thinking. He also covers audience literacy, aesthetics, and cautious use of new visuals for teaching and transparency.
