Ads During the American Super Bowl Look Like Scams

marsbitPubblicato 2026-02-12Pubblicato ultima volta 2026-02-12

Introduzione

The 2026 Super Bowl, often called the "American Super Bowl," was a spectacle of sports, entertainment, and high-stakes marketing. This year’s event featured three notable incidents that highlight the intersection of prediction markets, insider information, and viral marketing. First, a newly created account on the prediction market Polymarket placed nearly $80,000 in bets—with 17 out of 19 wagers correctly predicting details of the halftime show, including appearances by Lady Gaga and the absence of Travis Scott. The account’s near-perfect accuracy led to suspicions of insider trading, possibly linked to the event’s production team. Second, a trader named Alex Gonzalez ran onto the field during the game with promotional messages painted on his body. Reports indicate he had previously bet on such a field invasion occurring, after accounting for legal fees and bail, netted around $70,000. His actions blurred the line between predicting and creating events for profit. Finally, a viral “leaked” video showed influencer Logan Paul apparently betting $1 million on Polymarket during the game. It was later revealed to be a marketing stunt orchestrated by Polymarket itself, in which Paul has investment ties. Together, these events illustrate how prediction markets can be manipulated through insider knowledge, performative acts, and staged publicity—raising questions about authenticity in high-profile events.

This year's "American Super Bowl" once again captured the world's attention, much like previous years. The game itself, Mr. Beast's one-million-dollar bounty puzzle game, the halftime show... A sports event that was originally popular only in the United States has attracted global attention thanks to numerous entertainment and cultural elements.

Before we begin, let's experience just how lively the American Super Bowl is from a first-person perspective:

Amidst this density of attention, three viral events perfectly illustrate our expectations for prediction markets: an insider with a perfect winning rate betting on the halftime show performers on the prediction market Polymarket, a "fanatic fan" arrested on the spot, and a viral video of a major influencer secretly filmed using a prediction market that was later revealed to be a marketing stunt.

The "Perfect Win Rate" of Prediction Markets: New Account Achieves Extremely High Win Rate Betting on Halftime Show Lineup

Approximately 48 hours before the Super Bowl kickoff, nearly $80,000 was deposited into a newly registered account on the prediction market Polymarket. Subsequently, this account concentrated all its funds on bets related to the halftime show performers and setlist events, covering multiple specific predictions such as Lady Gaga performing and Travis Scott not performing, totaling 19 prediction bets.

After the halftime show concluded, 17 of these 19 bets hit, yielding a profit of $17,600. A new account, heavily concentrated on a single event, with a near-perfect hit rate. This goes far beyond just good luck.

Since the Super Bowl halftime show has long been planned and produced by the company Roc Nation, the community quickly began to speculate that the account holder likely had access to insider information, or was even connected to the production team. In an event with trading volume exceeding ten million dollars, while ordinary traders were placing blind bets, this insider was perhaps holding the setlist in their left hand and locking in profits with their phone in their right.

However, the anonymous nature of blockchain also means this remains merely speculation. This transaction has become another classic case study defining prediction markets as a means for insiders to monetize information asymmetry.

Trader Bets "Someone Will Rush the Field" and Then Rushes the Field

If the insider trader was profiting from information asymmetry in the shadows, then the move by a "fan" during the game was an open stratagem. He is also the protagonist in the video at the beginning of our article.

In the fourth quarter of the game, a shirtless fan climbed over the barrier and rushed onto the Super Bowl field. Instantly, all cameras and the television broadcast focused on this intruder. His bare chest was painted with body paint, his front reading "Trade in the blind spot," and his back displaying his account ID "@fxalexg" and the advertisement "Trade with Athena."

From the moment he stepped onto the field until he was tackled by security, he ran for 30 seconds. The going rate for a 30-second ad spot during the Super Bowl is $7 million.

When viewers took out their phones to search for his account, they discovered this "fan" was not an ordinary spectator but a trader—Alex Gonzalez. The slogans on his body were essentially a moving advertisement.

Even more intriguingly, according to Sportscasting, Gonzalez had performed a similar stunt back in 2024. He reportedly bet $5,000 that "someone would rush the field during the Super Bowl," then rushed the field himself during the game, ultimately profiting about $110,000; after deducting bail and legal fees, his net gain was still around $70,000.

In other words, he not only creating the event on the field but potentially also betting on the event he himself would create in the prediction market.

When the odds are high enough, some people stop predicting the future and instead create it themselves. This is also our most extreme, and most ironic, expectation for prediction markets.

The "Secretly Filmed" Video of an Influencer Betting a Million Dollars Was Actually a Marketing Stunt

Another video from this Super Bowl that went viral across the internet came from top influencer Logan Paul—in the footage, his phone screen is lit up with the Polymarket betting interface, showing him placing a one-million-dollar bet on which team would win. The image is blurry, the angle is tilted, very much like a casual shot taken by a spectator in the back seat.

Soon after this 12-second "secretly filmed" video spread, it was reposted by the official Polymarket account, and the heat and traffic came as expected. However, this transaction never appeared in the information flow of PolyBeats, which focuses on monitoring prediction market trades.

After in-depth research, it was found that the so-called "million-dollar bet" never actually occurred. This seemingly explosive "behind-the-scenes moment," which satisfied the public's voyeuristic desires, was nothing more than a carefully packaged marketing performance: as early as December 2025, Logan Paul joined the venture capital firm Anti Fund as a partner, and this firm was one of the investors in Polymarket's Series B round in 2025.

When a globally watched sporting event simultaneously overlaps with probability markets, advertising markets, and attention markets, the boundaries of the game are no longer confined to just the two teams on the field. Beyond the odds, there's the pricing of exposure; beyond the betting lines, there's narrative design.

Driven by money and attention, the "viral moments" we scroll past on social media might not be spontaneous but the result of months of planning.

Domande pertinenti

QWhat was the 'American Super Bowl' event mentioned in the article, and why is it attract global attention?

AThe 'American Super Bowl' refers to the annual championship game of the National Football League (NFL). It attracts global attention not just for the sport itself, but due to its heavy integration of entertainment culture, such as the high-profile halftime show, celebrity appearances, and major advertising events, which collectively draw a worldwide audience.

QHow did a new Polymarket account achieve a near-perfect prediction rate for the Super Bowl halftime show, and what does this suggest?

AA new Polymarket account deposited nearly $80,000 and placed 19 concentrated bets on specific halftime show details, like Lady Gaga appearing and Travis Scott not appearing, with 17 of them being correct. This near-perfect success rate, far beyond luck, strongly suggests the account owner had insider information, likely connected to the show's production company Roc Nation, exploiting information asymmetry for profit on the prediction market.

QWho was Alex Gonzalez, and how did he allegedly profit from the Super Bowl event according to the article?

AAlex Gonzalez was a trader who ran onto the field during the Super Bowl with painted advertisements on his body. The article suggests he had previously placed a $5,000 bet on the prediction market that 'someone would rush onto the field during the Super Bowl' and then created the event himself by doing so. He reportedly profited approximately $110,000 from that bet, with a net gain of around $70,000 after legal fees and bail.

QWhat was revealed about the viral 'secretly recorded video' of Logan Paul placing a million-dollar bet on Polymarket?

AThe viral 12-second 'secretly recorded' video of Logan Paul apparently placing a million-dollar bet on Polymarket was revealed to be a staged marketing campaign. The bet never actually placed on the market, and the video was a carefully orchestrated promotion. This was because Logan Paul is a partner in Anti Fund, a venture capital firm that was an investor in Polymarket's Series B funding round.

QWhat overarching point does the article make about prediction markets, advertising, and major events like the Super Bowl?

AThe article argues that during globally watched events like the Super Bowl, prediction markets, advertising markets, and attention economies converge. This creates an environment where what appears to be spontaneous moments—such as an insider making profitable trades, a fan rushing the field, or a viral video—are often the result of months of planning and manipulation for financial gain and exposure, blurring the lines between gambling, advertising, and narrative creation.

Letture associate

How Many Tokens Away Is Yang Zhilin from the 'Moon Chasing the Light'?

The article explores the intense competition between two leading Chinese AI companies, DeepSeek and Kimi (Moon Dark Side), and the mounting pressure on Yang Zhilin, the founder of Kimi. While DeepSeek re-emerged after 15 months of silence with its powerful V4 model—boasting 1.6 trillion parameters and low-cost, long-context capabilities—Kimi has been focusing on long-context processing and multi-agent systems with its K2.6 model. Yang faces a threefold challenge: technological rivalry, commercialization pressure, and investor expectations. Despite Kimi’s high valuation (reaching $18 billion), its revenue heavily relies on a single product with low paid conversion rates, while DeepSeek’s strategic silence and open-source influence have strengthened its market position and valuation prospects, now targeting over $20 billion. Both companies reflect broader trends in China’s AI ecosystem: Kimi aims for global influence through open-source contributions and agent-based advancements, while DeepSeek prioritizes foundational innovation and hardware independence, notably shifting to Huawei’s chips. Their competition is seen as vital for China’s AI progress, with the gap between top Chinese and U.S. models narrowing to just 2.7% on the Elo rating scale. Ultimately, the article argues that this rivalry, though anxiety-inducing for leaders like Zhilin, is essential for driving innovation and solidifying China’s role in the global AI landscape.

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How Many Tokens Away Is Yang Zhilin from the 'Moon Chasing the Light'?

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TechFlow Intelligence Bureau: ChatGPT Helps Amateur Mathematician Crack 60-Year-Old Problem, CFTC Sues New York Regulator Over Coinbase and Gemini

An amateur mathematician, with the assistance of ChatGPT, has solved a combinatorial mathematics puzzle originally proposed by Hungarian mathematician Paul Erdős in the 1960s. This marks another milestone in AI-aided mathematical research, demonstrating the evolving capabilities of large language models in formal reasoning. In other AI developments, OpenAI introduced a new privacy filter tool for enterprise API usage, automatically screening sensitive data. Meanwhile, the Qwen3.6-27B model achieved 100 tokens per second on a single RTX 5090 GPU using quantization, significantly lowering the cost barrier for local AI deployment. In crypto and Web3, the U.S. CFTC sued New York’s financial regulator, challenging its oversight of Coinbase and Gemini—a first-of-its-kind federal-state regulatory clash. Following a vulnerability, KelpDAO and major DeFi protocols established a recovery fund. Tether froze $344 million in assets linked to Iran’s central bank upon U.S. Treasury request, highlighting the centralized control risks in stablecoins. Separately, Litecoin underwent a 3-hour chain reorganization to undo a privacy-layer exploit. In the U.S., former President Trump invoked the Defense Production Act to address power grid bottlenecks affecting AI data centers and dismissed the entire National Science Board, raising concerns over research independence. A retail trader gained 250% on a $600k Intel options bet amid AI-related speculation. Xiaomi announced its first performance electric vehicle, targeting rivals like Tesla. Meanwhile, iPhone users reported devices automatically reinstalling a hidden app daily, suspected to be MDM-related. A Chinese securities report noted that A-share institutional crowding has reached its second-longest streak since 2007, signaling high valuations and potential style rotation. The day’s developments reflect a dual narrative: AI is enabling unprecedented individual breakthroughs, while centralized power structures—whether governmental or corporate—are becoming more assertive, underscoring that decentralization is as much a political-economic challenge as a technical one.

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TechFlow Intelligence Bureau: ChatGPT Helps Amateur Mathematician Crack 60-Year-Old Problem, CFTC Sues New York Regulator Over Coinbase and Gemini

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