The Applied Game Theory series is a public education initiative by Princeton Digital Laboratory. Each session uses a familiar board game as a live laboratory to illustrate core concepts from economic theory, behavioural science, and decision science. Rather than teaching economics abstractly, the series follows a deliberate pedagogical sequence: play first, name later. Participants recognise the dynamics before they can articulate them — which is precisely what makes the insight durable. The goal is not to simplify science, but to make its entry point irresistible.
Ticket to Ride is, on its surface, a cross-country train adventure. Economically, it is one of the clearest illustrations of scarcity, auction dynamics, and behavioural bias available outside a textbook — and unlike a textbook, the audience has already played it. Routes are finite and non-renewable. The card market functions simultaneously as a posted-price and sealed-bid auction. And human players deviate from rational strategy in ways that are not random but systematic — commitment bias, sunk cost reasoning, and loss aversion are built into every Destination Ticket decision. This session also traces the game’s defining structural feature: the phase transition from blue-ocean cooperation in the early game to zero-sum route warfare in the endgame. It is not a metaphor for how competitive markets work. It is how competitive markets work.