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Prediction Markets, Gamblification, and YOLO Capitalism

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  • Chohan, Usman W.

Abstract

This paper examines prediction markets through the theoretical framework of YOLO capitalism, arguing that many major critiques of prediction markets reflect deeper transformations occurring within the digitally-mediated dimensions of late-stage capitalism. While prediction markets are often presented as efficient mechanisms for aggregating collective intelligence and forecasting future events, they increasingly operate within speculative environments shaped by virality, emotional participation, meme culture, and platformized finance. The paper analyzes five major critiques of prediction markets: manipulation and narrative distortion, insider informational asymmetries, perverse incentives surrounding catastrophe speculation, irrational crowd dynamics and memetic volatility, and the broader financialization of reality itself. It argues that prediction markets increasingly transform collective uncertainty into continuously tradable speculative and cultural commodities.

Suggested Citation

  • Chohan, Usman W., 2026. "Prediction Markets, Gamblification, and YOLO Capitalism," SocArXiv 4s6ck_v2, Center for Open Science.
  • Handle: RePEc:osf:socarx:4s6ck_v2
    DOI: 10.31219/osf.io/4s6ck_v2
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    References listed on IDEAS

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    1. repec:reg:rpubli:460 is not listed on IDEAS
    2. Robin Hanson, 2007. "The Policy Analysis Market (A Thwarted Experiment in the Use of Prediction Markets for Public Policy)," Innovations: Technology, Governance, Globalization, MIT Press, vol. 2(3), pages 73-88, July.
    3. Georgios Tziralis & Ilias Tatsiopoulos, 2007. "Prediction Markets: An Extended Literature Review," Journal of Prediction Markets, University of Buckingham Press, vol. 1(1), pages 75-91, February.
    4. Hamed Amini & Maxim Bichuch & Zachary Feinstein, 2023. "Decentralized Prediction Markets and Sports Books," Papers 2307.08768, arXiv.org, revised Jan 2025.
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