Rational Polarization

The Philosophical Review

68 Pages Posted: 10 Sep 2021 Last revised: 3 Jan 2023

See all articles by Kevin Dorst

Kevin Dorst

Massachusetts Institute of Technology (MIT)

Date Written: December 31, 2022

Abstract

Predictable polarization is everywhere: we can often predict how people’s opinions—including our own—will shift over time. Extant theories either neglect the fact that we can predict our own polarization, or explain it through irrational mechanisms. They needn’t. Empirical studies suggest that polarization is predictable when evidence is ambiguous, i.e. when the rational response is not obvious. I show how Bayesians should model such ambiguity, and then prove that—assuming rational updates are those which obey the value of evidence (Blackwell 1953; Good 1967)—ambiguity is necessary and sufficient for the rationality of predictable polarization. The main theoretical result is that there can be a series of such updates, each of which is individually expected to make you more accurate, but which together will predictably polarize you. Polarization results from asymmetric increases in accuracy. This mechanism is not only theoretically possible, but empirically plausible. I argue that cognitive search—searching a cognitively-accessible space for a particular item—often yields asymmetrically ambiguous evidence; I present an experiment supporting its polarizing effects; and I use simulations to show how it can explain two of the core causes of polarization: confirmation bias and the group polarization effect.

Keywords: Polarization, Ambiguous Evidence, Confirmation Bias, The Value of Evidence, Reflection (Martingale) Principles, Bayesian Persuasion

JEL Classification: D80, D90

Suggested Citation

Dorst, Kevin, Rational Polarization (December 31, 2022). The Philosophical Review, Available at SSRN: https://ssrn.com/abstract=3918498 or http://dx.doi.org/10.2139/ssrn.3918498

Kevin Dorst (Contact Author)

Massachusetts Institute of Technology (MIT) ( email )

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