In this episode, Lucas and Luna dig into a specific pitfall of A/B testing that tripped up a real fintech company: Simpson's Paradox. They walk through the exact scenario where a landing page variant showed higher conversion overall but lost on every customer segment, and explain why a proper stratified analysis would have caught the trap. Lucas brings a concrete example from a 2025 A/B test at a mid-sized payments startup where the naive read of the numbers nearly shipped an inferior product. Luna pushes back on whether sample size alone is ever enough protection. The conversation leaves listeners with a single decision rule to sanity-check any experiment where segment sizes differ between control and treatment. No abstract theory — just one sharp case you can use Monday morning.

#ABTesting #SimpsonsParadox #DataScience #Statistics #Experimentation #ProductAnalytics #ConversionRate #CausalInference #DataDriven #Technology #Business #Analytics #MachineLearning #StratifiedAnalysis #Fintech #UserTesting #FexingoBusiness #BusinessPodcast

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