IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2512.16850.html

Best Garbling is No Garbling: Persuasion in Real Time

Author

Listed:
  • Can Urgun
  • Mark Whitmeyer

Abstract

We study continuous-time persuasion where a sender controls both how informative a signal is over time and when to stop providing information to a receiver. Given an exogenous signal process, the sender can both garble the evolving signal path and delay the receiver's decision at a convex, increasing cost of time. We show that, although both instruments are available, any optimal persuasion scheme is fully transparent: the sender keeps the signal fully informative and persuades solely by choosing when to stop.

Suggested Citation

  • Can Urgun & Mark Whitmeyer, 2025. "Best Garbling is No Garbling: Persuasion in Real Time," Papers 2512.16850, arXiv.org.
  • Handle: RePEc:arx:papers:2512.16850
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2512.16850
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Emeric Henry & Gianmarco Ottaviano, 2019. "Research and the Approval Process: the Organization of Persuasion," Sciences Po publications info:hdl:2441/1gr6n3t28b9, Sciences Po.
    2. Emeric Henry & Marco Loseto & Marco Ottaviani, 2022. "Regulation with Experimentation: Ex Ante Approval, Ex Post Withdrawal, and Liability," Management Science, INFORMS, vol. 68(7), pages 5330-5347, July.
    3. Emeric Henry & Marco Ottaviani, 2019. "Research and the Approval Process: The Organization of Persuasion," American Economic Review, American Economic Association, vol. 109(3), pages 911-955, March.
    4. Jeffrey C. Ely & George Georgiadis & Luis Rayo, 2025. "Feedback Design in Dynamic Moral Hazard," Econometrica, Econometric Society, vol. 93(2), pages 597-621, March.
    5. Daniel Chen & Weijie Zhong, 2025. "Information Acquisition and Time-Risk Preference," American Economic Review: Insights, American Economic Association, vol. 7(2), pages 213-230, June.
    6. Emir Kamenica & Xiao Lin, 2024. "Commitment and Randomization in Communication," PIER Working Paper Archive 24-033, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    7. Weijie Zhong, 2022. "Optimal Dynamic Information Acquisition," Econometrica, Econometric Society, vol. 90(4), pages 1537-1582, July.
    8. C'esar Barilla, 2025. "When and what to learn in a changing world," Papers 2510.17757, arXiv.org, revised Nov 2025.
    9. Jacopo Bizzotto & Jesper Rüdiger & Adrien Vigier, 2021. "Dynamic Persuasion with Outside Information," American Economic Journal: Microeconomics, American Economic Association, vol. 13(1), pages 179-194, February.
    10. Li, Xuelin & Szydlowski, Martin & Yu, Fangyuan, 2025. "Dynamic information design in an entry game," Journal of Economic Theory, Elsevier, vol. 226(C).
    11. Andrew McClellan, 2022. "Experimentation and Approval Mechanisms," Econometrica, Econometric Society, vol. 90(5), pages 2215-2247, September.
    12. Yeon-Koo Che & Kyungmin Kim & Konrad Mierendorff, 2023. "Keeping the Listener Engaged: A Dynamic Model of Bayesian Persuasion," Journal of Political Economy, University of Chicago Press, vol. 131(7), pages 1797-1844.
    13. Yingni Guo & Eran Shmaya, 2019. "The Interval Structure of Optimal Disclosure," Econometrica, Econometric Society, vol. 87(2), pages 653-675, March.
    14. Bardhi, Arjada & Guo, Yingni, 2018. "Modes of persuasion toward unanimous consent," Theoretical Economics, Econometric Society, vol. 13(3), September.
    15. Emeric Henry & Marco Ottaviani, 2019. "Research and the Approval Process: The Organization of Persuasion," American Economic Review, American Economic Association, vol. 109(3), pages 911-955, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Itai Arieli & Yakov Babichenko & Dima Shaiderman & Xianwen Shi, 2025. "Persuading while Learning," Working Papers tecipa-791, University of Toronto, Department of Economics.
    2. Aïd, René & Bonesini, Ofelia & Callegaro, Giorgia & Campi, Luciano, 2025. "Continuous-time persuasion by filtering," LSE Research Online Documents on Economics 127889, London School of Economics and Political Science, LSE Library.
    3. Ben-Porath, Elchanan & Dekel, Eddie & Lipman, Barton L., 2026. "Mechanism design for acquisition of/stochastic evidence," Theoretical Economics, Econometric Society, vol. 21(1), January.
    4. Emeric Henry & Marco Loseto & Marco Ottaviani, 2022. "Regulation with Experimentation: Ex Ante Approval, Ex Post Withdrawal, and Liability," Management Science, INFORMS, vol. 68(7), pages 5330-5347, July.
    5. Yifan Dai & Drew Fudenberg & Harry Pei, 2026. "Bayesian Persuasion with Selective Disclosure," Papers 2601.05914, arXiv.org.
    6. Maximilian Kasy & Jann Spiess, 2022. "Rationalizing Pre-Analysis Plans:Statistical Decisions Subject to Implementability," Economics Series Working Papers 975, University of Oxford, Department of Economics.
    7. Yichuan Lou, 2023. "Private Experimentation, Data Truncation, and Verifiable Disclosure," Papers 2305.04231, arXiv.org.
    8. Frank Yang & Kai Hao Yang, 2026. "Stochastic Optimization and Coupling," Cowles Foundation Discussion Papers 2506, Cowles Foundation for Research in Economics, Yale University.
    9. Nuta, Shunya, 2024. "Starting rough, Dynamic persuasion with partial information," Economics Letters, Elsevier, vol. 239(C).
    10. Perrin Lefebvre & David Martimort, 2026. "A Demand-Side Driven Explanation of Niche Lobbying: A Theory and Some Application to Climate-Biodiversity Policy," Working Papers hal-05488373, HAL.
    11. Li, Xuelin & Szydlowski, Martin & Yu, Fangyuan, 2025. "Dynamic information design in an entry game," Journal of Economic Theory, Elsevier, vol. 226(C).
    12. Pëllumb Reshidi & Alessandro Lizzeri & Leeat Yariv & Jimmy H. Chan & Wing Suen, 2021. "Individual and Collective Information Acquisition: An Experimental Study," NBER Working Papers 29557, National Bureau of Economic Research, Inc.
    13. Maxim Senkov, 2022. "Setting Interim Deadlines to Persuade," CERGE-EI Working Papers wp734, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    14. Szydlowski, Martin, 2024. "Fomenting conflict," Journal of Economic Theory, Elsevier, vol. 220(C).
    15. Lucchese, Elena & Roberti, Paolo, 2024. "When citizens legalize drugs," European Journal of Political Economy, Elsevier, vol. 85(C).
    16. Frank Yang & Kai Hao Yang, 2026. "Stochastic Optimization and Coupling," Papers 2603.11448, arXiv.org.
    17. Arjada Bardhi, 2024. "Attributes: Selective Learning and Influence," Econometrica, Econometric Society, vol. 92(2), pages 311-353, March.
    18. Ravi Jagadeesan & Davide Viviano, 2025. "Publication Design with Incentives in Mind," Papers 2504.21156, arXiv.org, revised Sep 2025.
    19. Andrew McClellan, 2022. "Experimentation and Approval Mechanisms," Econometrica, Econometric Society, vol. 90(5), pages 2215-2247, September.
    20. Maximilian Kasy & Jann Spiess, 2022. "Optimal Pre-Analysis Plans: Statistical Decisions Subject to Implementability," Papers 2208.09638, arXiv.org, revised Jul 2024.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2512.16850. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.