We haven't seen the worst of what gambling and prediction markets will do

Original Article ↗ Hacker News Discussion ↗

Incentives for Harmful Real‑World Actions

  • Many worry that attaching large payouts to events (wars, disasters, assassinations, infrastructure failures) creates direct incentives to cause them or to manipulate how they’re recorded or reported.
  • Detailed discussions of “assassination markets”: structures where those who want someone dead bet on “no assassination,” effectively creating bounties for others who take the opposite side and act.
  • Examples raised: bets on wars (e.g., Iran), threats against journalists to change facts so bets pay out, and an air-force officer allegedly using classified info to time a war bet.
  • Others note some events (asteroids, some weather) are hard to influence and might be “safer” markets, but even there bets can disincentivize mitigation or skew incentives.

Insider Trading, Corruption, and Governance

  • Strong concern that prediction markets normalize and monetize insider trading, especially in geopolitics and government decisions (war timing, regulatory moves, central bank decisions).
  • Some argue insider trading is actually the “point” of these markets: paying for hidden information and “distributed bounties with deniability.”
  • Others counter that this erodes trust, lets officials and militaries personally profit from decisions, and is akin to weaponized corruption.

“Prediction” vs Gambling

  • Repeated claim: these platforms are just gambling with a thin prediction veneer; some see them as a loophole around gambling law.
  • Comparisons to casinos, sports betting, binary options, and derivatives: zero‑ or negative‑sum, capped outcomes, spreads and fees ensure the “house” and professionals win.
  • Supporters liken them to stock/option markets and argue they can reveal useful probabilities; critics respond that they depend on a steady supply of “marks” and invite manipulation of outcomes, not just prediction.

Gambling Expansion and Social Harm

  • Broad anxiety about ubiquitous, app‑based, always‑on gambling: easy access, aggressive advertising (sports, podcasts, TV), and targeting of young men.
  • Many describe personal stories of addiction, ruined finances, and family damage; others compare harms to alcohol or drugs and argue for strict regulation or bans.
  • Libertarian voices emphasize individual responsibility and freedom, but are challenged with externalities: family fallout, crime, and societal costs of poverty and addiction.

Proposed Limits and “Safer” Designs

  • Suggestions include:
    • Banning markets where humans can meaningfully control the outcome (wars, assassinations, political decisions).
    • Strict bet‑size caps or income‑based limits.
    • Heavy regulation or state monopoly models; bans on advertising.
    • Favoring play‑money or non‑payout forecasting platforms for information value without financial incentives to cause harm.