Game Changer - the game theory podcast

In this episode, we discuss how game theory sheds light on modern electoral competition. Our guest, Adam Meirowitz, introduces the classical model of candidate convergence and explains why real elections often depart from this prediction. We then explore the role of echo chambers and selective exposure, and why these surprisingly do not necessarily lead to greater polarisation. We also touch on how bounded rationality among voters can further impact these dynamics.
 
Adam Meirowitz is the Damon Wells Professor of Political Science with a courtesy appointment in Economics at Yale University. His referenced research paper on echo chambers "Selective Exposure and Electoral Competition" is published in the Journal of Politics (2025) and is joint work with Avidit Acharya, Peter Buisseret, and Floyd Zhang. You can find it here.

Talk is cheap – literally. But if words cost nothing, why do we ever trust them? In this episode, Yale Professor Navin Kartik breaks down the game theory of communication.
We kick things off with the basics: what is the academic definition of "cheap talk", and why does cheap talk sometimes work but other times break down? From there, we transition to Navin's own research, which explores deeper facets of communication. We learn about lying costs and "inflated language": why does a reference letter need to say "excellent" to just mean "competent"? Finally, we dive into topics like pandering (why experts lie to agree with you) and muddled information (why test scores tell you more about gaming skills than natural ability).

In this episode, we explore the foundations and evolution of decision theory. Our guest, Itzhak Gilboa, begins with a brief historical overview of how the field has developed over time. We naturally discuss maximising expected utility, Bayesian decision theory, and Savage's representation theorem. Itzhak then delves into critiques of the Bayesian approach, especially concerning its interpretation of what constitutes a "rational decision maker." He presents a range of alternative decision frameworks, including approaches that do not require individuals to specify a full subjective probability distribution.
 
Itzhak Gilboa is Professor of Economics and Decision Sciences at HEC Paris.

In this episode, we explore how game theory and network effects intersect to inform optimal incentive structures in organizations. Pau Milán walks us through his recent research, co-authored with Nicolás Oviedo-Davila and Marc Claveria, which uses a novel game-theoretic model to show how the productivity of one employee can amplify the output of others in their network—and how firms can leverage this to design smarter compensation schemes. Drawing on real-world examples and his theoretical work, Pau offers practical insights for employers and economists alike.
 
Pau Milán is an Associate Professor of Economics at Universitat Autònoma de Barcelona (UAB) and an Affiliated Professor at the Barcelona School of Economics (BSE). His research interests include Social and Economic Networks, Information Economics, Development Economics, Organisations, and Applied Game Theory. You can find the working paper "Incentive Contracts and Peer Effects in the Workplace" here.

In this episode we explore the most classical topic from Game Theory – equilibrium analysis. Our guest Colin Camerer shares insights on the game LUPI ('lowest unique positive integer'). We first discuss the actual mathematical equilibrium analysis and then dive into real life: results from a Swedish game show in which the game was played in a lottery format. Colin also compares the results from the game show with a study of the same game in a controlled lab environment. We finish the episode by deep-diving into level-k reasoning and Colin shares an example based on the role of published movie reviews.
 
Colin Camerer is the Robert Kirby Professor of Behavioral Economics at Caltech. His research interests include decisions, games, and markets.