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False Cascades and the Cost of Truth

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  • Georgy Lukyanov
  • Darina Cheredina

Abstract

We study sequential social learning when agents can sometimes pay to verify a claim and obtain hard, publicly checkable evidence. Each agent observes the public history, receives a private signal, may investigate at a cost (succeeding only when the claim is true), and can disclose or conceal any proof. Actions are binary or continuous, with a conformity pull toward the prevailing consensus. We characterize when false cascades persist and when societies self-correct. In the binary benchmark, we derive an investigation cutoff and show how its location relative to classic cascade bands governs breakability; a simple knife-edge condition guarantees that any wrong cascade at the boundary is overturned with positive probability. With continuous actions, coarse observation and conformity can recreate cascades, yet occasional disclosures collapse them. These forces yield a tractable "resilience frontier" with transparent comparative statics and policy levers.

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  • Georgy Lukyanov & Darina Cheredina, 2025. "False Cascades and the Cost of Truth," Papers 2508.20538, arXiv.org, revised Sep 2025.
  • Handle: RePEc:arx:papers:2508.20538
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    References listed on IDEAS

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    1. Leonardo Bursztyn & Robert Jensen, 2017. "Social Image and Economic Behavior in the Field: Identifying, Understanding, and Shaping Social Pressure," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 131-153, September.
    2. Nikhil Vellodi & Roland Bénabou, 2025. "(Pro)-Social Learning and Strategic Disclosure," PSE-Ecole d'économie de Paris (Postprint) halshs-04929022, HAL.
    3. Lones Smith & Peter Sorensen, 2000. "Pathological Outcomes of Observational Learning," Econometrica, Econometric Society, vol. 68(2), pages 371-398, March.
    4. Mira Frick & Ryota Iijima & Yuhta Ishii, 2020. "Misinterpreting Others and the Fragility of Social Learning," Econometrica, Econometric Society, vol. 88(6), pages 2281-2328, November.
    5. Itai Arieli & Manuel Mueller-Frank, 2021. "A General Analysis of Sequential Social Learning," Mathematics of Operations Research, INFORMS, vol. 46(4), pages 1235-1249, November.
    6. Hann-Caruthers, Wade & Martynov, Vadim V. & Tamuz, Omer, 2018. "The speed of sequential asymptotic learning," Journal of Economic Theory, Elsevier, vol. 173(C), pages 383-409.
    7. Nikhil Vellodi & Roland Bénabou, 2025. "(Pro)-Social Learning and Strategic Disclosure," Post-Print halshs-04929022, HAL.
    8. Jeremy Bertomeu & Davide Cianciaruso, 2018. "Verifiable disclosure," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(4), pages 1011-1044, June.
    9. , & ,, 2015. "Information diffusion in networks through social learning," Theoretical Economics, Econometric Society, vol. 10(3), September.
    10. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    11. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
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