Kalshi's $40 Billion CEO Is Taking On Wall Street and Vegas | PBD Podcast #881
Oct 29, 2026 · 1h 30m
Summary
The host interviews the founder of Calci, who explains how the prediction market platform aggregates information from millions of regular people to forecast events more accurately than traditional experts. The discussion covers the company's background in financial markets, its business model of matching buyers and sellers, and its growing volume of over a trillion dollars. The episode also highlights how Calci users utilize these markets for hedging business risks and contrasts the platform's transparent, skill-based structure with the predatory nature of casino sportsbooks.
Topics discussed
Introduction: Kalshi's success and the gambling debate
Tarek Mansour's background and the rise of Kalshi
From MIT and academia to Wall Street finance
Trading political outcomes at Goldman Sachs
The history of information markets and prediction
Why Kalshi was founded: filtering bad information
Wisdom of crowds vs. elite experts
Demographics of Kalshi's top traders
Political neutrality and calibration skills
The skill of seeking opposing viewpoints
Trading vs. betting: buying low and selling high
Regular people outperforming Wall Street
Prediction markets vs. casinos: structural differences
Positive externalities and real-world hedging examples
How to succeed: skill-based trading and top traders
Market efficiency and the 80/20 rule
Volume during the World Cup and market size
Explaining the order book: bids and asks
Price discovery and the value of charts
Walkthrough: placing a $100,000 trade
Swing voters and dispassionate trading strategies
How new data impacts market prices
Evaluating midterm predictions and calibration
The role of professional traders in accuracy
Enemies of Kalshi: casinos and lack of transparency
Consumer protection and responsible gambling tools
Casino backlash and the 'young men' narrative
Retail workers as top traders: accessibility
Impact on the sports betting industry: $8B shift
Professional traders driving prediction market volume
Why casinos hate Kalshi: monopoly vs. open market
The necessity of a unified national market
Kalshi's vision: the next generation CME
Additive value and real-world hedging: the farmer story
Insurance-like products for small businesses
Sponsorship segment: luxury goods
Bottom-up information flow and anti-elite sentiment
Regulation, fairness, and consumer trust
Competition: Polymarket, Robinhood, and S&P partnership
Regulated US markets vs. offshore Polymarket
Regulating risk in financial and prediction markets
Market integrity and partnerships with sports leagues
Policing insider trading and customer verification
Compliance team size and investigatory powers
Identifying manipulation and banning accounts
Fines, charity, and hiring ex-FBI agents
Human judgment vs. algorithms in prediction
Marketing philosophy: human and fun, not hard sell
Explaining complex concepts through lighthearted content
Introducing the Kalshi K-POW index
Analyzing K-POW data points: war and courts
Market manipulation studies and calibration
Why markets don't lie compared to bad polls
Consequences for poll manipulation vs. market fraud
Regulatory oversight and independent compliance
Proactive banning and cross-exchange data sharing
KYC requirements and the Polymarket US transition
Principles: refusing to pay based on death
Event contracts and legal settlement rules
Settlement disputes and resolution methods
Creating new markets and liquidity requirements
Weirdest markets: goat herders and Taylor Swift
Advertising opportunities and the MSG partnership
The Onion Futures Act and illegal futures
Onion price volatility vs. oil prices
Work-life balance and AI-driven scalability
High revenue per employee and young talent
Youth disengagement and the need for education
Following instincts and risk tolerance in founders
Personal interests: anime and favorite shows
Lessons from anime: be the main character
Career path recap: Goldman, Citadel, and MIT
The mission: depolarization and rational thinking
Work as play and personal satisfaction
Advice for finding your passion and closing remarks
Sponsorship segment: luxury goods
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