This week, in the Eastern Eight Time Zone, influenced by disputes over contract settlements related to the situation in Iran, the U.S. prediction market platform Kalshi has been hit with a class-action lawsuit by users, drawing attention from the industry. The core of the dispute focuses on contracts such as "Will Khamenei resign?", which are highly related to the war and political situation in Iran. Some participants claim they did not receive the bonuses and earnings they believed they were entitled to. Surrounding these contracts, there is not only a technical settlement disagreement but also a fundamental inquiry into "whether betting can be done around war, death, and personal fate". At a time when trading volume in the geopolitical trading sector is surging, this incident has brought the platform's responsibility boundaries, users' risk expectations, and rights protection into the spotlight.
How Iranian contracts turned from hot targets to the trigger for a class-action lawsuit
● Contract design and event type: Kalshi has launched various predictive events surrounding the situation in Iran, among which the most controversial are contracts related to the power transition of the country's supreme leader, such as "Will Khamenei resign?". This design breaks down key points in geopolitical development into tradable binary events, allowing users to express their judgments on the probability of political changes with funds, naturally pushing the platform to the intersection of geopolitical and ethical disputes.
● Timeline from launch to controversy: In the context of rising tensions and expectations of war in Iran, these contracts quickly attracted a large volume of trading, forming a "hot target" with abundant liquidity and high pricing adjustments in a short time. However, when the events began to deviate from user expectations and the contracts entered the settlement phase, some participants started to question the platform's judgments on details such as "whether the triggering conditions were met" and "whether the event had occurred", and the timeline abruptly shifted from "active trading" to disputes surrounding settlement standards.
● Core focus of user accusations: The plaintiffs initiating the class-action lawsuit accused Kalshi of not paying appropriate bonuses to users participating in related contracts, meaning that the settlement results did not match their understanding of the "contract commitments". In their view, they bore the risks of event uncertainty and price fluctuations but were excluded from the gains they deserved at the crucial moment of realizing results. This "expectation gap" quickly escalated into a comprehensive questioning of the platform's fairness and credibility.
● CEO refund measures and direct impact: In response to the controversy, Kalshi CEO Tarek Mansour stated that they would refund relevant fees from the event contract market as a gesture of compensation to affected users. The refund did not directly address the profit and loss distribution of the contracts themselves, but sent a signal in the public opinion field that the platform was willing to bear some responsibility. Some users interpreted this as a "soft admission of fault", while others considered it merely a stop-loss action that could not fundamentally address the doubts about settlement logic and moral boundaries.
Betting on death and war: the ethical tightrope of prediction markets
● The stance against profiting from individual death: Mansour publicly stated "against profiting from individual death", attempting to draw a moral baseline in the controversy. This statement indicates that Kalshi at least does not wish to be viewed as "betting on someone's life and death" and wants to maintain its image as a probability pricing tool. However, in the eyes of outsiders, this belatedly emphasized moral stance is inevitably questioned as a remedial rhetoric since the platform had previously opened trading scenarios related to death, coups, and the outcomes of wars.
● How extreme events amplify public sentiment: When tradable events are strongly tied to war, leadership changes, or even potential life risks, public sentiment and opinion pressure can rapidly escalate. Users may see placing orders as a quantifiable expression of their judgments on the situation, while bystanders are more likely to perceive it as "watching the suffering of another country" or "betting on the fate of others". This perceptual difference makes the same combination of contracts viewed as risk tools by professional traders be labeled as "cold-blooded speculation" on social media.
● The blurred boundary between rational pricing and curiosity-driven speculation: Theoretically, prediction markets can aggregate society's collective judgment about the probability of events through pricing, offering a more sensitive "information thermometer" than polls. However, when the underlying subject itself is extreme and has a curious quality, it becomes difficult for the platform to verify whether participants are rationally assessing probabilities or merely driven by emotion and fear. The real difficulty lies in the fact that these two motivations are often indistinguishable at the level of trading data, making it difficult to clearly tag prices as "rational" or "speculative".
● Which events should be excluded from the market: The Kalshi incident has brought a long-avoided question to the forefront— what should not be traded. Is it events directly linked to individual deaths? Is it standard bets involving the scale of casualties in wars? Or is it any potential incident that incites hatred or encourages violence? Currently, the industry lacks a unified list, and platforms often adjust rules passively after public backlash. How to form an operable "negative list" without stifling financial innovation will become an inevitable open question in the future.
The surge in trading volume in the geopolitical sector
● Surge in trading of geopolitical contracts: Against the backdrop of frequent global geopolitical risks, the trading volume of predictive contracts encompassing themes such as war outbreak, intensified sanctions, and leadership changes is significantly rising. Keywords like Iran, Ukraine, and Middle East frequently appear in market listings, with more and more users attempting to express their judgments about the directions behind news headlines through their positions. This phenomenon is not only seen on a single platform but runs through the entire geopolitical sector, forming a "trading wave" fueled by conflicts.
● The liquidity and revenue temptations brought by hot events: For platforms, geopolitical themes inherently attract attention and controversy and possess the ability to draw new users and increase trading frequency. Each order placement means revenue from fees, and trading depth enhances platform metrics and valuation potential. The more wars and political fluctuations receive media attention, the more elastic the corresponding contracts' liquidity and platform revenues become, making this direct correlation an economic incentive that cannot be ignored in product design.
● Overlooked latent risks beneath the trading volume explosion: When traffic and trading volume become key evaluation metrics, the precision of terms design, rigor in event definition, and contingency plans for extreme scenarios often get squeezed into secondary positions. Vague contract descriptions and brief remarks on "how to determine results" can quickly backfire against the platform during high-risk events, evolving into a systemic trust crisis. The Kalshi controversy indicates that in moments of soaring trading volume, what is often overdrawn is the buffer space for risk control and expectation management.
● The seesaw between traffic, reputation, compliance, and legal risks: The Kalshi event clearly illustrates this interconnected relationship. On one hand, contracts related to Iran brought considerable discussion and trading activities to the platform; on the other, once settlement disputes escalated into a class-action lawsuit, the platform not only had to face potential judicial costs but also endure additional scrutiny from regulators and partners. For any prediction market, how to balance pursuing "hot topics" with maintaining reputation and compliance red lines will increasingly determine its ability to navigate cycle after cycle.
New financial gameplay and unease from a regulatory perspective
● The cautious attitude of the Hong Kong Legislative Council: In a broader regulatory context, Hong Kong Legislative Council member Cheng Zhenying recently stated the need to maintain a cautious development attitude towards emerging financial products, including setting higher thresholds for stablecoins and virtual assets. This statement resonates with the fate of prediction markets: the more an innovative product is associated with high volatility and high uncertainty, the more likely it is to be seen by regulators as needing "slow development or even suspension" as an experimental item.
● Regulatory anxiety boosted by technology: Financial institutions in Hong Kong are widely using artificial intelligence for risk control, investment research, and customer service, creating a situation where regulators hope to leverage technology for efficiency but worry about black-box modeling, manipulation risks, and systemic misjudgments. When AI combines with prediction markets, resulting in "algorithm-driven geopolitical trading," regulatory anxiety is further amplified—because technology not only magnifies profits but also the consequences of erroneous decisions.
● The blurred boundaries between traditional derivatives and prediction markets: Within the regulatory framework, traditional financial derivatives such as futures and options have relatively mature definitions and rules, whereas prediction markets often operate in a gray area between "financial instruments" and "information markets". They can be described as hedging or speculating on event outcomes, yet can also be packaged as "public opinion prediction tools". This ambiguity makes them more likely to be viewed by regulators as potential channels to circumvent regulations, and as soon as sensitive subjects like wars and regime changes are involved, the barriers to entry will significantly decrease.
● The Kalshi incident as a potential signal event: In this context, the class-action lawsuit label associated with Kalshi may be seen by regulatory agencies as a "signal event" for examining prediction markets. Even if the lawsuit itself is of limited scale, regulatory bodies have the incentive to take this opportunity to clarify domestic or regional regulatory gaps regarding such platforms: should they be included under derivatives regulation? Should a "red line list" be established for types of tradable events? The experience of Kalshi may indirectly prompt a round of rule rewriting concerning the positioning of prediction markets in jurisdictions far from Iran and the U.S.
How platforms and users can rewrite the rules of the game
● Reevaluation of the bottom line of platform responsibility: Based on the Kalshi case, the platform's responsibilities regarding event selection, rules disclosure, and extreme circumstance handling are being re-examined. In the future, the platform may have to more rigorously assess potential moral controversies and social impacts before listing contracts, and provide detailed upfront disclosures on "result definitions," "data sources," and "dispute resolution mechanisms" instead of hoping to mend gaps through announcements or refunds after the fact.
● User expectation misalignment and moral boundaries: For many users engaging in extreme event contracts, they are accustomed to expecting clear payment logic and rule stability from traditional financial products while often underestimating the moral tension surrounding war, death, and political situations. Once the settlement results deviate from their mental assumptions, technical disagreements can quickly be translated into moral accusations—"the platform is profiting from tragedy". This expectation misalignment means that any dispute over details could potentially evolve into a judgment of the platform's overall values.
● Possible improvement directions: To alleviate this tension, the platform could consider establishing a sensitive events whitelist or blacklist mechanism, setting stricter listing thresholds for events involving life risks, racial hatred, or significant humanitarian disasters. Additionally, providing clear public clarifications on contract descriptions, judging standards, and potential exceptional circumstances (such as information disruptions or official data gaps) before listing will help users have a clear understanding of “under what circumstances it will be considered that the event has occurred or not" before placing orders.
● Repositioning between "gambling" and "pricing tool": More broadly, regardless of whether based on blockchain or compliant regulatory frameworks, prediction markets need to choose between the roles of "gambling entertainment" and "risk pricing infrastructure". The former means catering to curiosity and pursuing traffic, while the latter requires more institutionalized and professional constraints in product architecture and governance. The Kalshi incident serves as a reminder: if this self-positioning is not proactively accomplished, the market and regulators will ultimately make choices for the platform in more drastic ways.
A small class-action lawsuit, a bigger rift exposed
● Concentrated exposure of ethical and compliance gray areas: On the surface, the Kalshi incident is merely a class-action lawsuit surrounding the settlement of contracts like "Will Khamenei resign?", but it centrally exposes the ethical vacuum and compliance gray areas in how prediction markets handle extreme events such as wars and deaths. While platforms pursue product innovation and transaction activity, they often underestimate society's sensitivity to "what outcomes can be bet on" and the potential legal consequences of vague rules in extreme scenarios.
● Conflicts likely to occur more frequently globally: As geopolitical uncertainties rise in multiple regions simultaneously, there will only be more predictive contracts targeting war outbreaks and leadership changes. Every escalation of conflict and every political upheaval could become inspiration for the platform to design new contracts, and are also potential sparks for controversy. Kalshi has merely stepped onto this line ahead of others; in the future, the likelihood of similar conflicts playing out on other platforms in other jurisdictions is not low.
● Path from "curiosity casino" to "risk pricing infrastructure": Looking ahead, if prediction markets want to avoid being permanently tagged as "curiosity casinos", they need to gradually shift toward standardized and interpretable risk pricing infrastructure through the tripartite game of regulators, platforms, and users. Regulators provide boundaries and bottom lines, platforms refine products and governance structures within those boundaries, and users assume corresponding risks under clearer information disclosures. This path will not be accomplished overnight, but incidents like Kalshi are providing the industry with a reflective mirror at a cost.
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