Sign inGet started
Paper · arXiv

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...

AuthorsChao Zhou
Primary categorycs.LG
Published10 May 2026
Last updated at source23 July 2026
cs.LGcs.AIcs.IR
Embed this entry
<iframe src="https://silytics.si/embed/item/d797a164-6778-4f52-8ac4-c62a3bf3ff07" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.