The friendship paradox: Causal evidence of its behavioral consequences

2026-08-07

AI Summary

This study investigates how the friendship paradox systematically distorts individual behavioral decisions and their social network consequences. Combining experimental economics with social network analysis, the authors manipulate individuals’ network positions within a complementary game to identify causal effects. The research provides the first causal evidence that the friendship paradox shapes behavior: individuals consistently overestimate others’ actions because their friends exhibit higher average connectivity than the population mean, thereby amplifying behavioral heterogeneity. Notably, this bias persists even after repeated rounds of observational learning, demonstrating its robustness. The findings reveal a novel mechanism of behavioral bias—driven by network structure—that is both systematic and resistant to correction through experience.

Abstract

We provide a first causal analysis of the behavioral consequences of the friendship paradox-the fact that people's friends in a network have more connections than average. We find that people's behavior is biased by their network position: they do not best respond to what they should infer the average behavior of the population to be, but instead simply to the average behavior of their friends. Moreover, we find that they fail to learn to overcome such a bias when relocated within the network, varying their observational environment. In these games of complements, the friendship paradox generates a systematic upward distortion in actions, increases behavioral dispersion, and persists despite learning opportunities.

Problem

• friendship paradox
• behavioral bias
• network position
• social learning
• behavioral dispersion

Innovation

• friendship paradox
• causal analysis
• behavioral bias
• network position
• social learning