Better Offline — “Prediction Markets”

Date: March 18, 2026
Host: Ed Zitron
Guests: Rebecca Ungarino (Barron's, Wall Street reporter) & Nick Devor (Barron's, gambling industry reporter)
Length (main content): Approx. 02:15–55:48

Episode Overview

This episode explores the rise and realities of prediction markets—platforms where people can bet on the outcomes of future events—as both a reflection of and catalyst for societal trends in finance, speculation, and regulatory evasion. Host Ed Zitron speaks with two financial journalists: Nick Devor (on gambling and prediction markets) and Rebecca Ungarino (on Wall Street and regulation). Together, they unpack the mechanics of prediction markets, their proximity to gambling, issues of regulation and manipulation, and the broader societal and economic consequences of their explosive growth.

What Are Prediction Markets?

[02:58 – 05:32]

• Similarity to Gambling:

  • From the consumer viewpoint, betting on a prediction market is much like gambling: you put money on the line for a potential payout.
  • Core difference: In gambling, you bet against the “house,” which sets the odds. In prediction markets, your counterparty is another trader.

• Mechanics:

  • Participants buy “event contracts” (binary options on yes/no outcomes) typically worth $1.
  • Example: If one person thinks there’s a 75% chance of an event and another thinks it’s 25%, they buy in at $0.75 and $0.25, and the winner gets the total.

• Crypto and Regulation:

  • Polymarket (offshore, mostly using stablecoins) – lightly regulated, accessible via VPN in the US.
  • Kalshi (US-based, CFTC regulated) – more compliant with US law.

• Quote — Nick Devor

  • “In a prediction market… your counterparty is another trader. So prediction markets are just essentially brokers that are putting two traders together on one contract.” (03:19)

Manipulation & Dystopian Risks

[06:30 – 13:00]

• Ease of Market Manipulation:

  • Anonymous, easy to create markets allow for manipulation, e.g., someone bet on a “Will someone streak at this event?” market—then streaked, won, and only paid a trivial fine.
  • Raises the question: Are prediction markets “thermometers” (measuring what will happen) or “thermostats” (making things happen by existing)?

• Overlap with Wall Street:

  • Banks are wary, awaiting regulatory clarity (compared to crypto’s early days).
  • Most major banks avoid direct involvement due to regulatory and reputational risks; investment side may use these markets as sentiment inputs.
  • The possibility of banks or private equity firms entering these markets introduces substantial risk of abuse and systemic fragility.

• Quote — Ed Zitron:

  • “Does this also set us up for something kind of dystopian… sudden bank interest in whether a place gets blown up? This is where the fringes of insanity begin.” (11:43)

Regulatory and Ethical Complications

[13:04 – 16:30]

• Private Credit & Hedge Fund Involvement:

  • Private credit firms are lightly regulated “non-banks,” making them potential participants in these murky markets.
  • The line between legitimate hedging and dystopian speculation on real-world disasters blurs.

• Dystopian Quotables:

  • Kalshi CEO Tarek Mansour: “We want to make a monetizable asset out of every difference in opinion.” (15:07; cited by Nick Devor)
  • Ed Zitron: “This is the kind of thing you do in, like, RoboCop.” (15:32)

• “Death Markets”:

  • Examples discussed of betting on whether political figures (e.g., Iran’s Supreme Leader) would leave office by a certain date—including the contracts’ ambiguous handling of death/resignation/etc., and platforms’ inconsistent resolutions.
  • Rebecca Guarino: “It just opens a whole new source of potential liability [for banks].” (12:03)

Broader Societal Consequences & Financialization

[24:32 – 29:41]

• Financial Nihilism & Accessibility:

  • The collapse of rational long-term investing (due to market distortion, e.g., high-frequency trading and rampant corporate obfuscation) creates a climate where people seek alternative ways to “win”—prediction markets as symptom and accelerant.
  • Prediction markets and sports gambling use marketing tactics targeting everyday needs: “My bet will pay for my coffee.” (25:27; described by Rebecca Guarino)
  • Gen Z’s “financial nihilism” and a sense of futurelessness drive engagement.

• Market Functionality & Exploitation:

  • Majority of prediction market users lose money: “Only 32.5% of prediction market customers are profitable. Right. So two thirds of players are losers.” — Nick Devor (28:04)
  • Betting on trivial, unpredictable outcomes (slap fights or Trump’s choice of words) blurs the lines between information, investment, and spectacle.

Regulation, Enforcement, and Manipulation

[29:41 – 44:30]

• Gambling Regulation vs. Market Chaos:

  • Gambling in Vegas is heavily regulated; online and prediction markets are less so—creating broader availability and risk, especially for young or unskilled bettors.
  • Sports betting is described as “extremely bleak. And I think it’s evil.” — Rebecca Guarino (30:51)

• Financial Markets:

  • Traditional banking regulations (e.g., stress testing banks via hypothetical disaster scenarios) are being rolled back; prediction markets add further complexity and opportunities for hidden leverage.

• Manipulation via Corporate Semantics:

  • Companies drive stock movement using ambiguous agreements (MOUs, letters of intent) instead of real deals, without regulatory intervention.
    • “If that isn’t stock manipulation, what is?” — Ed Zitron (34:38)
  • Prediction markets can be easily manipulated with rumors or “semantics,” further destabilizing an already unstable market ecosystem.

• Access and Rampancy:

  • The ease of creating markets (“if there’s activity on Twitter,” a market can be created on Polymarket), combined with minimal upfront money and anonymous trading, facilitates manipulation and insider trading on a broad scale.

Banking Industry, Insider Information, and Enforcement Challenges

[42:36 – 44:30]

• Liquidity’s Role:
  • Weakly-traded (thin) markets aren’t attractive to banks due to a lack of profitability (or “edge”).
• Compliance Issues:
  • Traditional mechanisms for policing insider trading don’t adapt well to prediction market structures, especially in banks with complex, siloed data.
  • Regulation and compliance teams are “actively figuring out” how to enforce ethical standards in this blurry environment.

The Myth and Reality of ‘Analysts’ and Conflicted Incentives

[44:30 – 54:57]

• “Analysts” as a Category:

  • Not all “analysts” are created equal; only “sell-side analysts” (typically at brokerages/banks) are subject to FINRA/SEC standards and disclosures.
  • The general public is confused by the proliferation of talking heads called “analysts” who may lack professional or regulatory accountability.

• Analysts’ Incentives & Conflicts:

  • Sell-side analysts benefit from providing clients not just with research, but with “corporate access”—connections to company management that depend on maintaining positivity in public research, even when reality is grim.
  • Quoting Nick Devor’s summary: “To be able to connect clients to management and make money for your firm, you have to…be a little more positive...That would be the cynical take.” (52:48–52:55)

• Access Journalism Parallels:

  • The journalists compare the analyst–company dynamic to access journalism’s ethical troubles: “Access journalism doesn’t work. It doesn’t get you anything. If a PR firm...doesn’t answer your question…that’s their fucking problem.” — Ed Zitron (53:24)

• Proposed Disclosure Reforms:

  • Zitron suggests all analyst–management introductions should be logged/disclosed, to clarify the scale of access-based conflicts.

Notable Quotes & Memorable Moments

• “Are prediction markets a thermostat or a thermometer? Are they accurately pricing the outcome, or do they make something more likely to happen?” — Nick Devor (06:30)
• “We want to make a monetizable asset out of every difference in opinion.” — Kalshi CEO Tarek Mansour (quoted by Nick Devor, 15:07)
• “It’s very, like, near-future dystopian.” — Nick Devor (15:48)
• “It is really scary. I feel like someone’s going to die from this...Like Running Man.” — Ed Zitron (16:14)
• “My bet will pay for my coffee.” — Example ad cited by Rebecca Guarino (25:27)
• “Only 32.5% of prediction market customers are profitable...Two thirds of players are losers.” — Nick Devor (28:04)
• “Analysts are...by and large...a very bullish group...” — Rebecca Guarino (50:01)
• “To be able to connect clients to management and make money for your firm...maybe you have to be a little more positive...” — Nick Devor (52:28)
• “I don’t think this should be legal, the cynical take. But it is.” — Ed Zitron (52:55)

Key Timestamps

• 02:15: Ed Zitron introduces the topic and guests.
• 02:58: Nick Devor explains prediction market basics; comparison to gambling.
• 05:03: Crypto's role in Polymarket, regulatory contrasts with Kalshi.
• 06:30: Concerns about manipulation and "thermometer vs. thermostat" analogy.
• 07:36 – 10:30: Rebecca Guarino on Wall Street's stance, regulatory lag, & differences in bank behavior.
• 13:04: Private credit’s risk and potential involvement discussed.
• 15:07: Kalshi’s CEO’s monetization quote and dystopian implications.
• 16:03–20:56: “Death markets,” hedge cases, and ethical schisms.
• 24:32: Zitron’s take on prediction markets as both symptom and cause of financial nihilism.
• 25:27: “My bet will pay for my coffee,” the marketing of gambling.
• 28:04: Most prediction market users are net losers.
• 29:41 – 32:18: Regulation and exploitation: why sports gambling is more regulated (and less dangerous) than prediction markets.
• 32:45 – 36:03: Private credit, hidden leverage, and regulatory ambiguity.
• 34:23 & 34:38: Stock manipulation via ambiguous “deals” (letters of intent, MOUs).
• 41:28 – 44:30: Ease of creating markets, compliance headaches, and enforcement gaps for banks.
• 44:41: The blurred meaning of “analyst” and absence of accountability in finance media.
• 46:24 – 47:31: Sell-side analysts defined, their obligations, and the big grey area in public communications.
• 50:31: “Corporate access” as an analyst value proposition and conflict source.
• 52:28 – 52:55: The (uncomfortably) symbiotic relationship between analyst positivity and firm profitability.
• 53:24: Zitron’s rant against “access journalism” as parallel to finance.

Conclusion

In this episode, Ed Zitron and his guests dissect prediction markets as a collision point of new financial technology, market manipulation, loose regulation, and societal insecurity. They conclude that these markets are an inevitable, but deeply fraught, outgrowth of an already-distorted financial system—raising urgent questions about ethics, compliance, and the future of investment and speculation. The episode closes on a call for stronger regulation and transparency, particularly as the boundaries between gambling, investing, and outright manipulation continue to dissolve.