Expected Value Decision Making: How a 19-Year-Old Used Gambling Math to Decide When to Sell

Zach's co-founder Blake Anderson taught him expected value thinking, and it became the core framework behind every major decision at Cal AI — including the decision to sell. The formula is borrowed from professional gamblers: take the probability of an outcome, multiply it by the payoff, and compare it across your options.

When an acquisition offer comes in, founders get emotional. They anchor on the big number or panic about leaving money on the table. EV cuts through that. You take the certain offer — say $100 with a 100% chance of closing — and compare it to the alternative: keeping the company, where maybe there is a 20% chance of reaching $500 but also a 10% chance of it going to zero. Run the math. The certain path often wins.

Zach applied this when deciding whether to sell Cal AI. He weighed the guaranteed payout against the probability-adjusted upside of continued growth, factoring in the real risk that consumer apps can plateau or get disrupted. The math pointed toward selling. The compounding value of liquid capital at 19, invested over decades, made the certain outcome dramatically more valuable than the uncertain one.

The framework works beyond acquisitions. Use it for hiring decisions, marketing bets, product pivots — anywhere you are choosing between a known outcome and a speculative one. The key is forcing yourself to assign honest probabilities instead of defaulting to optimism or fear.