Prediction Markets’ Fairness Under Scrutiny

(AsiaGameHub) –   In a recent report, Hersh Shefrin of the Markkula Center for Applied Ethics at Santa Clara University assessed the fairness of platforms such as Kalshi and Polymarket. The study evaluates who holds the advantage when financial stakes are involved and suggests that the rapid growth of prediction market platforms may have outpaced current ethical and regulatory standards.

There Is a Noticeable Imbalance Between Traders

Prediction markets enable users to place bets on the outcomes of real-world events, including elections and sporting competitions. These platforms attract participants due to their speed and convenience. They appeal to both sports bettors and retail investors, which has contributed to their widespread success. Major platforms now process billions in trading volume, signaling that they have become mainstream.

However, Shefrin argues that popularity does not guarantee fairness. He breaks down fairness into several dimensions, starting with fundamental principles like voluntary participation and access to truthful information. Additional criteria include equitable access to information, balanced decision-making, and protection from exploitation. When measured against these standards, prediction markets often fall short.

Professional traders have been purchasing access to large data streams from third-party providers to gain an edge. In this environment, casual traders have little chance of competing over the long term.

Hersh Shefrin

The core issue lies in the disparity in power among participants. A small number of users generate a disproportionate share of profits, while most lose money over time. Although this trend is not exclusive to prediction markets, the level of imbalance could intensify as advanced traders obtain superior data and tools.

Prediction Markets May Lack Critical Safeguards

Shefrin’s report also examines the social consequences of prediction markets. Most U.S.-based platforms focus on contracts similar to sports betting, a segment especially popular among young men. While some view these markets as entertainment, they risk evolving into compulsive behavior, potentially resulting in serious financial and personal harm.

Perhaps the most important ethical challenge for prediction markets is ensuring they operate without impulsive or harmful influences.

Hersh Shefrin

Accessibility is another concern, as modern apps allow trades to be placed within seconds. Shefrin notes that prediction markets employ tactics comparable to those used by gambling applications, including exploiting the fear of missing out and fostering the idea that a quick profit is just one decision away. Integrity issues persist as well, since markets tied to real-world events can create incentives to manipulate those outcomes.

Despite the concerns, the report does not advocate for a complete ban. Instead, it explores ways to make these markets more equitable for consumers. Shefrin recommends stronger consumer protections, such as setting trading limits, providing clearer disclosures, and implementing safeguards against gambling-related harm. Reducing the information gap between users could help, though doing so would be difficult to achieve.