Zohran Mamdani won New York City's mayoral election on November 4, 2025, defeating former Governor Andrew Cuomo in a historic victory.Zohran Mamdani won New York City's mayoral election on November 4, 2025, defeating former Governor Andrew Cuomo in a historic victory.

Crypto Prediction Markets Nail NYC Mayor Race as Mamdani Defeats Cuomo

2025/11/06 06:48
5 min read

The 34-year-old democratic socialist secured just over 50% of the vote, beating Cuomo by roughly 9 percentage points. But there’s another winner in this race: crypto prediction markets, which once again proved more accurate than traditional polls.

Polymarket, the leading blockchain-based prediction platform, gave Mamdani a 95% chance of winning just before election day. The market was right. This marks another major success for crypto prediction platforms, which have been outperforming traditional polling methods in recent elections.

Making History at City Hall

Mamdani’s victory breaks multiple barriers. He becomes NYC’s first Muslim mayor, the first of South Asian heritage, and the first born in Africa. At 34, he’s also the youngest mayor the city has seen in over a century.

Born in Uganda and raised in Cape Town, South Africa, Mamdani moved to New York at age 7. He’s a three-term state assemblyman from Queens who entered the race as an underdog. His parents are Columbia University professor Mahmood Mamdani and acclaimed filmmaker Mira Nair.

Source: @Polymarket

The election drew massive turnout, with over 2 million voters casting ballots—the first time NYC hit that number since 1969. Mamdani had already beaten Cuomo once before in the Democratic primary last June, winning by 12 percentage points.

Prediction Markets vs. Traditional Polls

Crypto prediction markets have become increasingly popular as alternatives to traditional polling. These platforms let people bet real money on election outcomes, and the prices reflect what the crowd thinks will actually happen.

Before the NYC election, approximately $368 million was traded on Polymarket’s NYC mayoral market. About 92% of participants wagered on Mamdani winning. One trader even placed a $1 million bet on his victory.

The accuracy wasn’t luck. Polymarket correctly predicted Donald Trump’s 2024 presidential victory when most polls showed a toss-up. The platform gave Trump around 60% odds, which turned out closer to reality than polls showing 50-50 chances. Polymarket also correctly predicted the outcome of NYC’s Democratic primary in June.

Research backs up these results. Studies comparing prediction markets to poll aggregators found that betting markets were more accurate across presidential, Senate, House, and governor races. The reason? People make smarter predictions when their own money is at stake.

How Prediction Markets Work

Prediction markets operate differently than regular gambling sites. Users buy “yes” or “no” shares on whether specific events will happen. If you’re right, you get paid. If you’re wrong, you lose your investment.

The share prices change based on supply and demand, creating real-time probabilities. When Polymarket shows Trump at 60%, it means traders collectively believe he has a 60% chance of winning.

These markets claim to tap into the “wisdom of crowds.” When lots of people risk their money based on analysis, the collective prediction tends to be accurate. Traditional polls ask who people want to win. Prediction markets ask who people think will win—with financial consequences for being wrong.

The industry has exploded in 2025. Polymarket received a $2 billion investment from ICE, the parent company of the New York Stock Exchange, valuing it at $9 billion. Trading volume jumped from $9 billion in 2024 to over $1.5 billion in a single month this year.

Concerns About Market Manipulation

Not everyone trusts prediction markets. Research firms found evidence of “wash trading” on Polymarket, where shares are bought and sold repeatedly to create false volume. One analysis suggested wash trading made up about one-third of activity on the presidential market.

Large bets also raise eyebrows. Four traders placed $25 million on Trump’s 2024 victory, leading to questions about whether wealthy individuals could manipulate odds. The platforms argue that when someone bets big on one side, others bet against them, keeping prices balanced.

Critics also point out that Polymarket users might not represent average voters. The platform requires cryptocurrency, which only 17-20% of Americans own. This could create bias toward certain political views.

What Mamdani’s Win Means for Crypto

Ironically, the same prediction markets that accurately forecast Mamdani’s victory may face tighter regulations under his leadership. The new mayor has been critical of cryptocurrency’s impact on working-class communities.

Mamdani co-sponsored legislation seeking to halt proof-of-work crypto mining due to environmental concerns. In 2023, he stated that when crypto companies collapse, wealthy investors don’t suffer—it’s small investors from low-income communities who lose money.

His platform includes raising taxes on corporations and the wealthy to fund public services. He supports proposals for a crypto transaction tax that could raise $158 million annually. Starting January 1, 2026, his administration is expected to prioritize consumer protection and compliance over market expansion.

This creates an unusual situation where crypto prediction platforms accurately predicted an outcome that may lead to stricter crypto regulations. President Trump had endorsed Cuomo and threatened to withhold federal funds if Mamdani won, but voters chose the democratic socialist anyway.

The Bottom Line

Crypto prediction markets continue proving their value as forecasting tools. Polymarket’s accurate call on the NYC mayor’s race adds to a growing track record that includes the 2024 presidential election and NYC’s Democratic primary. While concerns about manipulation exist, the markets have consistently outperformed traditional polling.

As prediction platforms gain credibility and institutional backing, they’re transforming from niche crypto experiments into mainstream forecasting tools. The industry’s growth reflects demand for real-time, incentive-based predictions in an era where trust in traditional media and polling has declined.

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