WSJ: Unveiling the Secret Jury That Controls Disputes on Polymarket

marsbitОпубликовано 2026-05-18Обновлено 2026-05-18

Введение

Last month, Garrick Wilhelm lost a $567 bet on the Polymarket prediction platform about whether a ceasefire would be reached with Hezbollah. When a truce was announced, some traders argued it counted, but Wilhelm disagreed. The dispute was settled not by Polymarket, but by a decentralized group of UMA token holders who vote on such disagreements. As trading surges, resolving ambiguous outcomes is a growing challenge for prediction markets. Unlike competitors like Kalshi that decide internally, Polymarket outsources dispute resolution to UMA. Its token holders, mostly anonymous and with voting power weighted by holdings, arbitrate cases. Critics argue this system is prone to manipulation, as voters can also bet on the same markets they judge. A Wall Street Journal analysis found that over the past year, at least 60% of active UMA voters had corresponding Polymarket accounts and held positions in disputes they voted on. Voting power is also concentrated among a few large holders. Polymarket says only 0.2% of bets go to UMA and that the system disperses authority. Its founder has acknowledged flaws and promised fixes. UMA's backers deny any proven manipulation, dismissing critics as sore losers. The platform penalizes voters in the minority to incentivize "correct" outcomes. Disputes are rising, covering topics from a streamer's pregnancy announcement to Iran. This model also helps Polymarket argue it's an offshore platform outside U.S. regulation, a shift made after a 2022 s...

Last month, Garrick Wilhelm joined the rush into prediction market trading, but he soon began to regret it. This user based in British Columbia, Canada, registered on the Polymarket platform and started placing bets on events related to the Middle East situation, with one betting option being whether Israel and Hezbollah could reach a ceasefire agreement.

Wilhelm put in $567 on a losing bet, convinced that the armed group would absolutely not sign a ceasefire agreement, calling it a sure win.

Subsequently, Israel and the Lebanese government reached a truce agreement. Some traders deemed this equivalent to reaching a ceasefire with Hezbollah. After carefully studying the platform rules, Wilhelm firmly disagreed with this determination.

The outcome of this bet involving millions of dollars was not ultimately decided by the Polymarket platform. Wilhelm then learned that the resolution of his trade was to be arbitrated by a loosely organized group holding cryptocurrency tokens.

With a massive influx of new users and explosive growth in trading volume, trading disputes have become an increasingly thorny problem for prediction market platforms like Polymarket. Platforms originally strive to frame betting topics as clear-cut, black-and-white questions, but real-world events are complex, and the line between win and loss is often blurry.

Most other similar prediction market platforms, like Kalshi, resolve controversies and determine final outcomes themselves; but Polymarket chooses to outsource its dispute arbitration business to a third-party service called UMA. When parties to a trade disagree on the payout result, the UMA voting arbitration mechanism is triggered. Voting power is controlled by UMA token holders, with more tokens conferring greater voting weight, and the vast majority of voters remain anonymous.

Polymarket explicitly states in its user agreement that the platform assumes no responsibility for arbitrating disputes related to trading contracts.

Many traders and crypto industry veterans point out that this UMA voting system is highly susceptible to manipulation. Token holders can freely vote on contentious bets in which they have a financial stake, with no institutional constraints.

Analysis by The Wall Street Journal, combining Polymarket trading data and on-chain information, found: Over the past year, at least 60% of active UMA voters could be matched to Polymarket trading accounts; in over 300 dispute cases during the same period, UMA voters were found to hold financial positions in the very bets under dispute.

UMA bills itself as decentralized, but on-chain data shows voting power is highly concentrated among a few "whales." Statistics indicate that in the vast majority of dispute votes, the top ten wallet addresses account for over half the votes.

Nic Carter, founding partner of venture capital firm Castle Island Ventures, bluntly stated that Polymarket shouldn't shirk its dispute resolution responsibilities. "Arbitrating disputes is inherently part of Polymarket's job. It shouldn't be outsourced to this anonymous, unidentified third-party group of token holders."

A Polymarket spokesperson responded that only 0.2% of betting contracts on the platform trigger UMA voting arbitration, and added that UMA disperses adjudication authority into an open market system rather than leaving it to a single entity.

In March of this year, Polymarket founder Shayne Coplan admitted at a Harvard Business School forum that the platform's current dispute resolution mechanism indeed has many flaws. "Related optimization solutions are about to be implemented," he said, but did not reveal specific reform details. It is reported that Polymarket has entered into a data partnership with Dow Jones, the parent company of The Wall Street Journal.

UMA was co-founded by two former Goldman Sachs traders and is managed by the Risk Labs Foundation, registered in the Cayman Islands. Foundation spokesperson James Fry stated that no conclusive evidence has been found to suggest UMA manipulates trades. "Much of the external skepticism is just losing traders looking for excuses."

When disputes arise, UMA token holders debate on the Discord social platform, citing various pieces of evidence to support their views. UMA also has a penalty mechanism that financially penalizes users who vote in the minority, a move the platform says aims to guide voters toward factually correct determinations.

According to statistics from Polymarket's dedicated trading terminal Betmoar, from the beginning of 2026 to now, the platform has seen over 1,150 betting disputes, a number that has already surpassed the total for all of 2025.

A recent popular dispute involved a bet on whether streamer Clavicular would officially announce a pregnancy: the streamer did publicly announce a partner's pregnancy, but many traders argued this announcement didn't meet the contract's requirement of a "formal and valid declaration." Ultimately, UMA voting ruled the announcement was compliant. Additionally, multiple arbitration disagreements have erupted over bets related to the situation in Iran.

Public regulatory filings show that Polymarket initially handled various disputes internally; in early 2022, the platform reached a settlement with the U.S. Commodity Futures Trading Commission over alleged violations of U.S. financial regulations and subsequently handed over all dispute arbitration work to UMA.

This model of adjudication by a dispersed group of token holders also serves as a key basis for Polymarket to argue it is an offshore platform, not subject to U.S. domestic regulation.

However, Polymarket occasionally overturns UMA's final rulings and also proactively adds supplementary clarifications to betting contract details to avoid potential disputes.

The novice trader Wilhelm mentioned earlier ultimately lost his bet related to the ceasefire agreement; 87% of UMA token voters determined that the Israel-Lebanon truce agreement applied to the Hezbollah-related bet. Despite reasoned arguments from Wilhelm and others, they were powerless to change the ruling.

A group of losing traders formed a Discord community called "Whale Hunters," collectively accusing top UMA voting users of suspected backroom dealings.

Traders have pointed fingers at the startup project UMA.rocks, a platform that allows UMA token holders to pool their voting tokens and delegate voting authority to a specialized decision committee. Its votes recently accounted for about 8% in various dispute votes and are also seen by the market as an important indicator of UMA's overall ruling trends.

UMA.rocks founder Lancelot Chardonnet responded: "Many traders' losses are essentially because they didn't seriously read the betting rules, but afterward they shift all the blame to UMA and our platform. We are the easiest targets."

At the end of April, UMA.rocks formally expelled voting committee member Scout, citing his past suspected market manipulation behavior.

Contacted via Discord, Scout denied manipulating the market or deliberately guiding incorrect voting outcomes but readily admitted to participating in Polymarket bets on disputed markets while exercising UMA dispute voting power.

Scout believes that voters with such conflicting interests can actually make rulings more aligned with the facts. "Voters with no skin in the game might spend at most 5 minutes casually looking into the matter; but we, as stakeholders, driven by our own financial interests, will verify the full picture of the event to make an accurate judgment."

He acknowledged the industry faces a dilemma: "Either use traders with conflicting interests in the adjudication, or let complete outsiders with no expertise drive the voting. There's currently no perfect answer."

Связанные с этим вопросы

QAccording to the article, what is the main difference between how Polymarket and other prediction markets like Kalshi handle trade disputes?

AMost prediction markets like Kalshi resolve disputes internally. In contrast, Polymarket outsources the arbitration of disputes to a third-party service called UMA, where voting power is held by anonymous holders of UMA tokens.

QWhat finding did the Wall Street Journal's analysis reveal about UMA voters and their activity on Polymarket?

AThe Wall Street Journal's analysis found that over the past year, at least 60% of active UMA voters could be linked to trading accounts on Polymarket, and in more than 300 dispute cases, UMA voters themselves held financial positions in the contested markets.

QWhat did Polymarket's founder, Shayne Coplan, admit about the platform's current dispute resolution mechanism?

AShayne Coplan admitted at a Harvard Business School forum that the platform's current dispute resolution system has many flaws and stated that improvements are on the way, though he did not provide specific details.

QHow does UMA claim its system encourages accurate voting outcomes?

AUMA has a penalty mechanism that financially punishes users who vote with the minority opinion. The platform claims this is designed to incentivize voters to make factually correct decisions.

QWhat dilemma does the expelled UMA.rocks committee member Scout highlight regarding the dispute resolution system?

AScout highlights a dilemma: the system must either use arbitrators who have a conflict of interest (because they are also traders in the market) or rely on outsiders with no professional stake or deep understanding of the event, suggesting there is currently no perfect solution.

Похожее

From 'Old Guys' to 'New Favorites': How AI Is Revaluing Old Infrastructure from Dell to Nokia?

From "Vintage Tech" to "New AI Darlings": How AI Revalues Old Infrastructure One year ago, tech giants like Dell, Nokia, Cisco, and Western Data were seen as slow-growth, low-valuation stories, far from the AI spotlight dominated by players like Nvidia. Now, these legacy tech stocks are gaining market attention, sparking debate on whether this is genuine industry revaluation or a temporary narrative. As AI moves from model parameters to real-world data centers, the market is recognizing companies with proven delivery and infrastructure capabilities. This shift marks a change in the AI investment thesis: from pure model and GPU focus to the complex systems engineering required for deployment. Companies like Dell, HPE, and Corning are being revalued not for being "sexy" AI innovators, but for their decades of accumulated expertise in supply chains, enterprise delivery, and infrastructure—assets that have become critical in the AI buildout phase. The revaluation is unfolding across three key infrastructure lines: 1. **Servers & System Integration:** Dell and HPE are emerging as crucial system integrators or "general contractors" for AI data centers, translating GPU orders into complete, deployable server racks integrated with power, cooling, and networking. 2. **Networking & Connectivity:** AI's scale demands robust high-speed connections. Corning (fiber optics), Nokia (AI-RAN, 6G), and Cisco (data center switches) are gaining importance for enabling efficient data transfer within and between AI clusters. 3. **Storage:** Beyond high-speed memory (HBM/DRAM), the AI data explosion is driving demand for high-capacity hard drives (HDDs) from companies like Western Digital and Seagate to handle training data, logs, and cold storage cost-effectively. For this revaluation to be substantive and not just a narrative, three criteria are key: 1) Concrete AI-related order and revenue growth (e.g., Dell's AI server sales), 2) Upward revisions to company financial guidance, and 3) Sustainable improvements in profit quality, not just top-line revenue spikes. In essence, AI's transition to a real construction phase is re-pricing "old assets" against "new demand." The opportunity, however, is selective. Only those legacy firms that are demonstrably integrated into the capital expenditure chains of data center and enterprise AI deployment are likely to experience a true "logic re-rating" rather than just a temporary valuation bounce.

marsbit6 мин. назад

From 'Old Guys' to 'New Favorites': How AI Is Revaluing Old Infrastructure from Dell to Nokia?

marsbit6 мин. назад

The Merger of Codex and ChatGPT Marks the Beginning of a Major Reshuffle in Programming Tools

OpenAI is shifting its strategic focus from ChatGPT to Codex, merging them along with the browser tool Atlas into a unified desktop super-app. This move signals an internal belief that Codex, originally a programming tool, represents the next evolution of AI more than conversational models like ChatGPT. Over the past year, Codex's weekly active users have surged past 5 million. The key distinction is that while ChatGPT answers questions, Codex executes tasks. Enterprises increasingly value this ability to get work done over simply receiving advice. Consequently, Codex is attracting professionals beyond developers, including analysts, bankers, marketers, and product managers. OpenAI's reorganization and increased investment in Codex stem from recognizing that the future of AI competition lies in execution capabilities, not just conversation. The company is launching role-specific plugins (e.g., for data analysis, sales, design) to transform Codex into a broad knowledge work platform that automates and redefines white-collar workflows. Beyond being a tool, Codex reflects OpenAI's ambition to redefine software. New features like "Sites"—which generates interactive websites from documents—and collaborative "Annotations" aim to create a paradigm where the AI understands the goal and handles the tools and steps, functioning more like a digital colleague than traditional software. The ultimate goal is a unified experience where the user cares only about the completed task.

marsbit15 мин. назад

The Merger of Codex and ChatGPT Marks the Beginning of a Major Reshuffle in Programming Tools

marsbit15 мин. назад

Interpreting Investment Opportunities in the Age of Great Navigation, Invesco Great Wall Fund Releases '2026 Report on Chinese Enterprises Going Global'

Invesco Great Wall Fund has released its "2026 China Corporate Globalization Report," titled "The 'Great Navigation Era' of Chinese Enterprises." The report analyzes the new trends and investment opportunities as Chinese companies expand globally, moving from simple product exports to comprehensive overseas operations involving services, branding, and local production. Driven by factors like trade friction, the pursuit of higher profit margins abroad, and policy support, globalization is becoming essential for Chinese companies. The report outlines an evolution: from early product export ("Globalization 1.0") to the current "Globalization 2.0," characterized by overseas capacity, capital goods investment, consumer brand expansion, and service exports. Chinese firms' competitive advantages are highlighted, including a vast engineer talent pool, low-cost and robust infrastructure, and complete industrial clusters. Specific sectors with significant出海 potential are identified: * **Capital Goods** (e.g., engineering machinery, power equipment): Benefiting from global demand, especially in Belt & Road markets and the AI-driven power grid upgrade cycle. * **Consumer Brands**: Transitioning from cost to brand advantage, leveraging供应链 efficiency. * **Technology & Innovation**: Including AI applications, optical modules within global tech supply chains, and new energy vehicles focusing on local production. * **Pharmaceuticals**: Chinese biotech firms are becoming preferred partners for global pharma, with potential for breakthrough drugs in areas like oncology and weight loss. The report concludes that corporate globalization represents a sustained, core theme for China's capital markets, though companies must navigate challenges like geopolitics and localization.

marsbit27 мин. назад

Interpreting Investment Opportunities in the Age of Great Navigation, Invesco Great Wall Fund Releases '2026 Report on Chinese Enterprises Going Global'

marsbit27 мин. назад

GitHub, Transfixed by AI

On the night of February 9th, GitHub suffered a major outage caused by a simple configuration change—reducing a cache refresh interval from 12 to 2 hours—that triggered a cascade of failures. This was not an isolated event, but part of a broader pattern. In early 2026, GitHub experienced at least 8 major incidents, failing to meet its promised 99.9% availability. These outages stemmed from structural issues: explosive growth in load, tight service coupling, and insufficient protection against abnormal traffic. This unprecedented load is driven by AI Agents. In 2025, GitHub handled ~1 billion commits. By 2026, weekly commits reached 275 million, projecting to ~14 billion for the year—a 14x increase. AI tools like Claude Code now contribute 4.5% of all public repository commits, with weekly submissions surging 25x in just three months. AI-generated pull requests jumped from 4 million to 17 million per month in half a year. Unlike human developers, AI Agents work continuously, generating commits at a scale that overwhelms infrastructure designed for human rhythms. The surge also shattered GitHub's business model. Copilot's flat-rate pricing, based on assisting human developers, became unsustainable as Agentic AI sessions consumed resources worth hundreds of dollars for a few dollars in fees. In response, GitHub imposed usage limits and, by June 1st, shifted to a pay-per-use "AI Credits" system. Facing this new reality, GitHub realized a 10x scaling plan was insufficient. It announced a need to *redesign* its architecture for 30x current scale—decoupling services, adding fault isolation, and improving change management to prevent cascading failures. Other platforms like Stripe and AWS are facing similar challenges with AI Agents. Fundamentally, GitHub is transitioning from a human collaboration platform to an "exhaust pipe" for automated AI workflows. Its detailed post-mortem reports aim to maintain trust during this turbulent rebuild. The February outage was not just a technical glitch, but a signal of the software industry's entry into a new, AI-driven era.

marsbit1 ч. назад

GitHub, Transfixed by AI

marsbit1 ч. назад

Торговля

Спот
Фьючерсы
活动图片