Hostname: page-component-89b8bd64d-dvtzq Total loading time: 0 Render date: 2026-05-07T20:06:08.985Z Has data issue: false hasContentIssue false

Mini-Publics, (Lack of) Representativeness, and Legitimacy Beliefs

Published online by Cambridge University Press:  12 February 2025

Micha Germann*
Affiliation:
Department of Politics, Languages and International Studies, University of Bath, Bath, UK
Rights & Permissions [Opens in a new window]

Abstract

The participants in deliberative mini-publics are typically randomly selected; therefore, mini-publics are often marketed as representative of the wider population. However, in practice, mini-publics are unlikely to be fully representative due to their small size and non-response bias. I report the results of a pre-registered survey experiment designed to assess the implications of deviations from statistical representativeness for citizens’ legitimacy beliefs (N = 1,308). Consistent with prior research, I find that the involvement of a mini-public in democratic decision-making can lead to substantial increases in perceptions of process legitimacy; however, even minor biases in the composition of mini-publics substantially decrease those gains while larger biases can wipe them out entirely. The results of this study temper hopes that mini-publics offer an easy fix to perceptions of low democratic legitimacy.

Information

Type
Letter
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Figure 1. Experimental design.

Figure 1

Figure 2. Main results.Note: All results are based on linear regression. The spikes represent 95% confidence intervals. N = 1,308. For the complete numerical results see Table S5 in SI Appendix §6.

Supplementary material: File

Germann supplementary material

Germann supplementary material
Download Germann supplementary material(File)
File 459 KB
Supplementary material: Link

Germann Dataset

Link