Drake Associate Loses $177K on Cardi B Bet—Why ‘Insider Info’ Couldn’t Save Him

A Drake associate turned $185,000 into a cautionary tale about prediction markets when he lost $177,000 betting that Cardi B wouldn’t perform at Super Bowl LX—despite reportedly having music industry insider knowledge. But the real story isn’t one man’s bad bet. It’s that two major prediction platforms watched the same 60-second cameo and reached opposite conclusions, exposing a category of risk most bettors never consider until it’s too late.

Prediction market controversy illustration showing split outcomes between Kalshi and Polymarket platforms over Super Bowl halftime show bet

KEY FACTS AT A GLANCE

  • The Bettor: Preme, Canadian rapper and longtime Drake associate
  • Total Staked: ~$185,000 across two bets on Polymarket
  • Net Loss: ~$177,000 (won $200 on Drake not performing, lost $177K on Cardi B)
  • The Event: Cardi B’s ~60-second appearance at Super Bowl LX halftime show (Feb 8, 2026)
  • Combined Market Volume: ~$57 million across both Kalshi and Polymarket
  • The Split: Polymarket ruled “Yes” (performed) — Kalshi ruled “Ambiguous” and invoked Rule 6.3(c)
  • Regulatory Action: First known CFTC complaint filed over a prediction market settlement
$177K
Preme’s Net Loss
$57M
Combined Cardi B Volume
$1B+
Kalshi Super Bowl Day Volume
128M
Halftime Viewers (NFL Record)

The $177,000 Lesson: Why Industry Connections Couldn’t Save Preme

Preme, a Canadian rapper with deep ties to Drake and the broader music industry, created a Polymarket account just one day before Super Bowl LX. Hours before kickoff on February 8, he placed approximately $185,000 in wagers across two bets: that Drake would not perform during the halftime show, and that Cardi B would not perform either.

The first bet was straightforward. Drake didn’t appear during Bad Bunny’s headlining halftime set, and Preme collected roughly $200 on that correct prediction. But the second bet—the one that mattered—turned into one of the most discussed prediction market losses of Super Bowl week.

Preme reportedly had industry knowledge suggesting Cardi B would not sing at the halftime show. That information may have been technically correct. During her approximately 60-second appearance in the “la casita” set piece—alongside Pedro Pascal, Karol G, Young Miko, and Jessica Alba—Cardi B never held a microphone, never clearly sang, and never performed a verse. She danced and appeared to mouth words to music.

But Polymarket’s contract didn’t ask whether she would sing. It asked whether she would “perform.” And Polymarket’s Oracle system, relying on media consensus from CBS, NBC, and the NFL—all of which listed Cardi B as a performer—ruled “Yes.” Physical presence plus choreographed participation equaled performance.

Preme’s assumption—that performing meant singing or rapping—cost him $177,000. He publicly criticized Polymarket’s ruling on X, then deleted the post and changed his username to reduce visibility. Screenshots of the wager, the deleted reply, and the account changes circulated widely across betting communities.

THE “PLATFORM RISK” YOU’RE NOT THINKING ABOUT

Traditional betting risk: “Will my prediction be correct?”

Platform risk: “Even if I’m correct, will the platform agree?”

The Cardi B case proves: Two platforms can watch the same 60-second cameo and reach opposite conclusions. Contract language—not the event itself—determines who wins.

The irony, as Sportscasting noted, is that Preme correctly called the other half of his thesis. Drake did not appear during the halftime show, and that wager paid out. But “insider info” about what an artist won’t do is useless when the contract language defines the outcome more broadly than you expected.

Same Event, Opposite Rulings: Kalshi vs. Polymarket

If you’d placed identical bets on Cardi B performing at the Super Bowl halftime show on both major prediction platforms, you would have won on one and lost on the other. That’s not a hypothetical—it’s exactly what happened to thousands of traders across a combined $57 million market.

Element Kalshi Polymarket
Ruling Ambiguous (Rule 6.3(c)) Yes (Performed)
“Yes” Payout $0.26 per contract $1.00 per contract
“No” Payout $0.74 per contract $0.00 per contract
Resolution Method Platform discretion Oracle + media consensus
Justification “Unclear if singing” “Listed as performer by media”
User Recourse CFTC complaint filed UMA Protocol escalation

Kalshi spokesperson Elisabeth Diana explained the platform’s reasoning: “The rules were clear. Under the full rules, singing and dancing counted as a performance, but just dancing in the background did not. In the as-broadcast performance, Cardi B was dancing and mouthing words to the song, but it was unclear if she was ‘singing’.”

Rather than make a binary call on an ambiguous outcome, Kalshi invoked Rule 6.3(c)—a discretionary provision that allows the platform to settle at the last traded price before trading was paused. That meant “No” holders received $0.74 per contract and “Yes” holders received $0.26.

Polymarket took the opposite approach. Its Oracle system, built on the UMA Protocol, resolved the market based on media consensus. CBS, NBC, and the NFL all listed Cardi B among the halftime performers. In Polymarket’s interpretation, physical presence plus participation in choreography equaled a performance—full stop. “Yes” holders received $1.00 per contract.

The Karol G Inconsistency

There’s a detail that most coverage has missed: Kalshi settled Karol G as a “Yes”—meaning she performed—but settled Cardi B as “ambiguous.” Both artists did essentially the same thing during the halftime show: dancing on stage without clearly singing solo.

This inconsistency drew sharp criticism. One Twitter user, @EvMassachusetts, wrote: “@Kalshi settling Cardi B as not performing (despite clearly meeting all 3 requirements) is just more proof that they are scumbags who settle based on their own personal interest. They settled Karol G and Cardi B differently despite them doing the exact same thing.”

Whether or not that accusation is fair, the inconsistent application of rules undermines platform credibility and creates potential arbitrage opportunities for sophisticated traders who understand when platforms might invoke discretionary clauses.

The CFTC Complaint: $3,700 That Could Set Precedent

In what appears to be the first formal CFTC complaint over a prediction market settlement dispute, an anonymous Kalshi “Yes” holder filed a complaint with the Commodity Futures Trading Commission alleging that the platform violated the Commodity Exchange Act. The complaint was first reported by Dustin Gouker’s Event Horizon newsletter and subsequently covered by Front Office Sports.

The complainant had expected a $5,000 payout but received only $1,300 under the partial settlement—a difference of $3,700. The complaint alleges unfair and deceptive conduct, failure to provide clear and objective rules, and the arbitrary invocation of an “extraordinary and discretionary remedy” after the event had already occurred.

A CFTC spokesman declined to comment, and no immediate enforcement action has been announced. But the dollar amount isn’t the point. This complaint tests whether traders have legal recourse when platforms invoke discretionary settlement rules—and it arrives at a moment when Kalshi is already fighting regulatory battles in Massachusetts (where a preliminary injunction was issued against its sports contracts), Connecticut (where a hearing was scheduled for February 12, 2026), and Nevada.

WHY $3,700 MATTERS MORE THAN IT SEEMS

This is the first known formal CFTC complaint over a prediction market settlement. It tests whether traders have recourse when platforms invoke discretionary rules. With Kalshi already facing state-level challenges in Massachusetts, Connecticut, and Nevada, a federal complaint adds another layer of regulatory pressure—and could force clearer settlement standards across the industry.

The Volume Behind the Controversy

This isn’t a niche dispute in a corner of the internet. The Cardi B performance question alone generated approximately $57 million in combined trading volume across both platforms—$4.4 million on Kalshi’s specific Cardi B market (part of a broader $47.3 million “Who will perform?” market) and over $10 million on Polymarket.

Kalshi reported over $1 billion in total Super Bowl day trading volume across all markets, representing a staggering 2,700% year-over-year increase. An estimated 128 million viewers tuned in for the halftime show—an NFL record—meaning the pool of people with an opinion on what “performing” means was massive.

Robinhood CEO Vlad Tenev captured the industry’s bullish sentiment during a recent earnings call: “I think we are just at the beginning of a prediction market super cycle that could drive trillions in annual volume over time.” But as volumes scale, so do the stakes when edge cases arise—and edge cases in entertainment markets are inevitable.

Third Major Dispute in Six Weeks: A Pattern Emerges

The Cardi B controversy isn’t an isolated incident. It’s the third major prediction market settlement dispute in just six weeks, forming a clear pattern that should concern anyone with money on these platforms.

JANUARY 3–7: VENEZUELA INVASION

Polymarket’s “Will U.S. invade Venezuela?” market ($10.5M volume). Platform refused to pay, arguing Maduro’s capture didn’t constitute an “invasion.” Traders who bet correctly were left empty-handed.

JANUARY 3–5: MADURO REMOVAL

Kalshi’s “Maduro removed from power?” market. Platform initially refused to pay out, then reversed course after significant public backlash from traders.

FEBRUARY 8–11: CARDI B HALFTIME

$57M combined volume across Kalshi and Polymarket. Same event, opposite rulings. First CFTC complaint filed over a prediction market settlement dispute.

The pattern is consistent: contract language is vague on edge cases, a real-world event doesn’t fit neatly into a yes/no binary, the platform invokes a discretionary interpretation, traders lose money they expected to win, and backlash plus regulatory scrutiny follows.

This keeps happening because prediction markets are scaling rapidly—weekly volumes now exceed $6 billion—and more volume inevitably means more edge cases. Entertainment and political markets are inherently more ambiguous than economic data markets. Whether CPI exceeded 3% has a definitive answer. Whether a 60-second dance cameo counts as a “performance” doesn’t.

The legislative response is already underway. Rep. Ritchie Torres (D-NY) introduced the Public Integrity in Financial Prediction Markets Act of 2026 after the Maduro controversy, focusing on barring government employees from using nonpublic information on prediction markets. The Cardi B dispute adds fuel to broader calls for clearer settlement standards across the industry.

What Bettors Should Know: Platform Risk Is Real

If you’d bet “Yes” on Cardi B performing at the Super Bowl halftime show on Polymarket, you’d have received a full $1.00 payout. The same bet on Kalshi would have returned just $0.26—a 74% haircut. Same bet, same event, same outcome. Different platforms, different results.

Platform risk—the possibility that even a correct prediction won’t pay out as expected because of how a platform interprets its own rules—is a category of risk that most bettors don’t consider until they’ve already been burned by it.

FIVE QUESTIONS TO ASK BEFORE BETTING ENTERTAINMENT MARKETS

  • How is the key term defined? — “Perform,” “appear,” “win”—these words mean different things to different platforms
  • What happens if the outcome is ambiguous? — Does the platform have a process, or do they make it up as they go?
  • Does the platform have a discretionary escape hatch? — Kalshi’s Rule 6.3(c) lets them settle at last traded price rather than binary yes/no
  • What’s the resolution source? — Platform determination vs. media consensus vs. oracle vote produces very different outcomes
  • Has this platform invoked ambiguity clauses before? — Past behavior predicts future behavior
Market Type Ambiguity Risk Examples
Economic Data Low CPI, Fed rate decisions, unemployment
Sports Scores Low Final scores, point spreads
Election Results Low–Medium Certified vote counts
Entertainment / Celebrity HIGH “Will X perform?”, awards, appearances
Geopolitical HIGH “Will U.S. invade?”, regime change

The bottom line: in prediction markets, reading the full contract rules isn’t optional—it’s the most important research you can do. Industry connections, insider knowledge, and correct predictions all become worthless if the contract language defines your outcome differently than you assumed.

KEY TAKEAWAYS

  • Insider knowledge has limits — Preme’s music industry connections told him what Cardi B wouldn’t do, but the contract defined “perform” more broadly than “sing”
  • Platform choice matters as much as prediction accuracy — Identical bets on Kalshi and Polymarket produced opposite results ($0.26 vs. $1.00 for “Yes” holders)
  • Discretionary settlement rules are the hidden risk — Kalshi’s Rule 6.3(c) allows the platform to bypass binary outcomes when it deems results “ambiguous”
  • Inconsistent rulings erode trust — Kalshi settled Karol G as “performed” but Cardi B as “ambiguous” despite similar on-stage activities
  • Regulatory scrutiny is accelerating — The first CFTC complaint over a settlement dispute, combined with state-level challenges, signals the industry’s self-governance model is under pressure
  • Entertainment markets carry inherently higher platform risk — Unlike economic data markets with clear numerical answers, entertainment outcomes are subjective and interpretation-dependent

Sources

Written by

Aevan Lark

Aevan Lark is a gambling industry veteran with over 7 years of experience working behind the scenes at leading crypto casinos — from VIP management to risk analysis and customer operations. His insider perspective spans online gambling, sports betting, provably fair gaming, and prediction markets. On Dyutam, Aevan creates in-depth guides, builds verification tools, and delivers honest, data-driven reviews to help players understand the odds, verify fairness, and gamble responsibly.

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