Simpson's Paradox in Behavioral Curves: How Aggregation Distorts Parametric Models of User Dynamics
Behavioral curve modeling -- fitting parametric functions to engagement-versus-exposure data -- is standard practice in recommendation, advertising, and clinical dosing. We show that aggregation introduces a systematic distortion: Simpson's paradox in behavioral curves. On Goodreads (3.3M users, 9 genres), individual users peak at n* approximately 11 exposures while the aggregate peaks at n* approximately 34 -- a 3x gap driven by survival bias. Amazon Electronics (18M reviews) shows a 5.3x distortion. MovieLens-25M (D approximately 1) serves as a negative control, confirming that survival bias -- not aggregation per se -- is the operative mechanism. The distortion is robust to category gr...
| Authors | Chao Zhou |
|---|---|
| Primary category | cs.LG |
| Published | 10 May 2026 |
| Last updated at source | 23 July 2026 |
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