Decoder with Nilay Patel: “Prediction markets want to be the news”

Date: March 5, 2026
Guest: Liz Lopato, Senior Reporter at The Verge

Overview

Nilay Patel and Liz Lopato sit down to explore the chaotic evolution of prediction markets like Kalshi and Polymarket. As these platforms move beyond sports betting to infiltrate journalism and current events—sometimes incentivizing insider trading—the episode examines their ambitions, regulatory gray areas, and the societal risks if these businesses keep blurring the line between gambling and news. The conversation is rich with historical context, real-world examples, philosophical nuance, and direct challenges to the prediction markets’ claims to legitimacy.

Main Topics & Key Insights

1. What Are Prediction Markets (and Are They Just Gambling)?

• Tension over Terminology: Nilay immediately frames prediction markets as gambling, noting industry resistance to this label (04:47).
• Structural Defense: Liz explains the “contract between independent players” argument—unlike a casino, platforms take a cut but don’t bet themselves (05:02).
• Core Similarity: Despite contractual nuance, Liz asserts that prediction markets are fundamentally still betting: “I don’t think there is [a difference]. I’m just being honest here.” (05:02)

2. Prediction Markets Infiltrating News

• Substack Partnership: Polymarket partnering with Substack allows writers to integrate odds into journalism, with the claim that “journalism is better when it's backed by live markets” (05:23).
  • Liz’s sardonic quip: “I think we have Bloomberg at home.” (05:54)
• Critique & Context: True “market reporting” might synergize with journalism (e.g., stocks reacting to news), but Liz argues prediction contracts usually only apply to political betting—chiefly, elections (05:54–06:38).

3. Economics and Human Behavior: Do Wagers Reveal the Truth?

• Economist vs. Psychologist Lens: Nilay posits that monetary stakes make market predictions more ‘truthful’ than polling (06:38).
• Liz’s Rebuttal (07:23): “No… Psychologists have long known people bet for the rush, the feeling of being in a flow state—not necessarily because they believe in something.” Prediction markets share this intermittent reinforcement with casinos (even if not slot machines outright).
• Motivation Critique: Many aren't wagering to be right; they're driven to be part of the action.

4. The Meaning of News: Events vs. Pseudo-Events

• Defining News: Liz: “It’s very recent history”—journalism recounts real, witnessed events, rooted in orienting ourselves in society (08:55).
• Rise of Pseudo-Events: Drawing from The Image by Daniel Boorstin, Liz explains how much contemporary news is actually about pseudo-events: scripted happenings (product launches, polls, debates) designed for coverage, not spontaneous occurrences.
  • “Celebrities are arguably like human pseudo-events.” (09:57)
  • Politics is especially full of them, making betting easier when outcomes are anticipatable (e.g., “Who will win the next debate’s snap poll?” 11:19).

5. Insider Trading: Feature, Bug, or Both?

• Recent Example: A Polymarket trader made over $500,000 betting on when the U.S. would bomb Iran, likely using inside information (16:39–18:02).
• Industry View: “According to the people who are in favor of prediction markets, [insider trading] is a feature.” (18:02)
  • Example: Coinbase’s Brian Armstrong reading prediction market bets aloud, then purposely saying the predicted words, literally altering reality with knowledge—“That’s a pseudo-event,” says Liz (18:38).
  • “Worst case scenario: someone inside the administration who potentially is advising whether or not [military action] happens… bets on this and now is making sure it will happen.” (18:58)
• Legal Complexity: Enforcement lags; laws focus more on misused information than losses to counterparties, and the SEC’s laxity only exacerbates the problem (20:02).

6. Regulatory Gaps and Political Complications

• Enforcement Weakness: There’s little regulatory bite: “Prediction markets just aren’t big enough to really be on their radar yet.” (20:02) But visibility is rising (21:54).
• Perverse Incentives: Instead of whistleblowing for societal good, insiders are rewarded for monetizing secrets—risking the public interest (22:39).
• Newsroom Undercutting: When news organizations partner with prediction markets, they may inadvertently undermine their own reporting, creating a feedback loop where rumors become betting contracts, and vice versa (24:24).

7. The Industry’s Push for Legitimacy as ‘The News’

• The Real Motive: Liz: “They want to distinguish themselves from being casinos.” (26:07)
• Regulatory Maneuvering: Sports betting is regulated by states—calling themselves ‘news’ or ‘information’ is an active strategy to avoid gambling regulations. Major sports betting brands are adapting their own stances accordingly (26:07).
  • “There’s some maneuvering going on.” (26:47)

8. Attempts at Self-Regulation and Enforcement

• Internal Crackdowns: Kalshi has begun investigating and modestly fining insider traders (e.g., Mr. Beast’s editor, a California politician), but these efforts are self-policing, not government-driven (27:07).
• Laxity of Regulators: "You’ll notice though that it’s Kalshi taking these steps internally and even issuing the fines, not any law enforcement authority." (27:39)

9. Industry Rationalizations (Robinhood’s Vlad Tenev)

• Clips from Robinhood CEO Vlad Tenev:
  • On Rules: “All of the DCMs basically have rules against [insiders trading], and… can identify abuse.” (30:42)
  • Liz’s Reaction: “...Not only do I not see that push from inside the industry, we have people inside the industry saying stuff like insider trading is cool and that's how we get information out.” (31:49)
  • On News: “Prediction markets actually give you that news faster, in some cases before it even happens.” (33:13)
  • Liz: “The whole ball game… [the] value is tied specifically to insider information.” (34:06)

10. Regulation: Casinos, Contracts, and the Gambling Argument

• Mechanics vs. Substance:
  • Nilay: “You’re buying contracts that other people can buy the other side of... But... there’s still, functionally at the bottom, an actual bet.” (41:10–41:27)
  • Liz: “The contract is still a bet… I recognize why they want to be distinct from gambling, but I can’t say that I think it is.” (41:27–43:13)

11. Crypto, Meme Stocks, and Financial Nihilism

• Direct Connection: “It’s a total straight shot. Not least because some of these markets are trading in crypto.” (43:30)
• Gambling Spirit: The same risk-driven thinking from the GameStop phenomenon exists here, fostered by precariousness among young people (financial ‘nihilism’)—“if I ever want to retire, I have to gamble and get really rich.” (43:30–45:31)

12. The Political and Economic Showdown Ahead

• Bipartisan State Pushback: Some states want gambling taxes, others want bans, while the Trump administration (which is closely tied to the industry) is fighting to block all state-level regulation (46:40).
• Ultimate Outcome is Uncertain: “How that turns out is anybody’s guess… For now, I expect this to continue rolling out and continue trying to embed itself in the national consciousness.” (46:40)

13. Potential for Scandal and the Risk to Public Trust

• Liz’s Prediction: “I really think that we are headed someplace very, very bad and there doesn’t seem to be a lot of urgency in preventing it.” (49:46)
• Nilay’s Fear: Too much blending of betting and everyday institutions (from celebrity spokespeople to sports leagues) risks “a catastrophic loss of trust… you’re just watching a giant conspiracy theory unfold.” (47:54)
• Historical Reminder: Past sports betting scandals led to bans—now, with those memories faded, we’re repeating the cycle, “... and now everybody who experienced it and was like, this is bad is dead.” (48:38)

Notable Quotes & Timestamps

• On Prediction Markets vs. Gambling
  “I don’t think there is [a difference]. I’m just being honest here.” – Liz (05:02)

• On Substack & Polymarket Partnership
  “First of all, Nilay, I think we have Bloomberg at home.” – Liz (05:54)

• On Betting, Belief, and Motivation
  “People may not be betting because they believe in something. You may be betting just to bet… because you can’t win if you don’t play.” – Liz (07:23)

• On Insider Trading
  “According to the people who are in favor of prediction markets? It’s a feature.” – Liz (18:02)

• On Self-Regulation
  “...if we rewind, you know, we have people inside the industry saying stuff like ‘insider trading is cool and that’s how we get information out.’” – Liz (31:49)

• On the Circularity of News and Prediction Markets
  “...this round and about monetization of what is essentially a rumor mill I think is a problem.” – Liz (24:24)

• On Regulatory Prospects
  “The administration is astonishingly corrupt... So we’re going to end up in court, and how that turns out is anybody’s guess.” – Liz (46:40)

• On Societal Risk
  “A catastrophic loss of trust in everything... is probably catastrophic. I think that is an outcome everyone should try to avoid. But it does seem like the outcome we are headed towards.” – Nilay (47:54)

• On History Repeating
  “Now everybody who... experienced it and was like, this is bad is dead. And so we’re gonna do it again and think it’s gonna turn out different, I suppose.” – Liz (48:38)

Timeline of Important Segments

• 04:45–05:23: Defining the thin line (or lack thereof) between prediction markets and gambling.
• 05:23–06:38: How prediction markets are integrating with journalism.
• 07:23–08:32: Core psychology of betting vs. belief and truth.
• 08:55–11:49: What is news? The philosophy of events and pseudo-events.
• 16:39–19:35: Insider trading becomes real and dangerous—with examples from geopolitics and tech.
• 24:08–25:49: The newsroom dilemma—are news orgs undermining themselves?
• 27:07–28:55: Kalshi’s self-enforcement vs. regulator apathy.
• 29:10–34:43: Robinhood CEO Vlad Tenev defends prediction markets, revealing key internal contradictions.
• 39:11–43:13: Regulatory future and the mechanics of “not-gambling.”
• 43:13–45:31: Crypto, meme stocks, and the financialized culture of risk.
• 46:40–50:50: The looming political fight and potential for public trust collapse.

Conclusion

Nilay and Liz’s conversation paints a picture of a sector whose ambitions to be “the news”—and not just a gambling den—are both transparent regulatory strategy and deeply fraught. The fundamental value proposition rests on absorbing insider information, which in turn threatens the integrity of news, society’s trust in institutions, and democratic self-governance. With regulatory confusion, a backdrop of political exploitation, and shaky self-policing, prediction markets’ expansion represents not just innovation, but an urgent social problem in the making.