Threshold Voting Mechanism

Last registered on October 22, 2025

Pre-Trial

Trial Information

General Information

Title
Threshold Voting Mechanism
RCT ID
AEARCTR-0016968
Initial registration date
October 08, 2025

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
October 22, 2025, 12:50 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

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Primary Investigator

Affiliation
University of Chicago

Other Primary Investigator(s)

PI Affiliation
Bocconi University

Additional Trial Information

Status
On going
Start date
2025-05-30
End date
2026-02-28
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This randomized online experiment tests a threshold voting mechanism that aims to balance privacy and information revelation in collective decision-making. Public voting fosters coordination and accountability but risks conformity through social image concerns. Private voting protects truthful expression but obscures the distribution of preferences. Standard voting systems thus force a stark trade-off: truthful voting at the expense of accountability, or full accountability at the expense of truthful expression. We study an intermediate institution, the threshold voting mechanism. Individuals first cast their vote anonymously, then choose a personal threshold: their vote is revealed publicly only if the number of others voting the same way reaches or exceeds that threshold. UC Berkeley students enrolled in Fall 2025 are randomly assigned to private, public, or threshold voting conditions on a contentious policy proposal. This design allows us to measure the distortions created by public voting and whether the threshold mechanism reduces those distortions while preserving information about underlying preferences.
External Link(s)

Registration Citation

Citation
Braghieri, Luca and Leonardo Bursztyn. 2025. "Threshold Voting Mechanism." AEA RCT Registry. October 22. https://doi.org/10.1257/rct.16968-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2025-10-19
Intervention End Date
2025-12-19

Primary Outcomes

Primary Outcomes (end points)
1. Abstention rates across treatment conditions
2. Expression of non-socially desirable views: the share of participants who do not abstain and vote for the non-socially desirable position
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
UC Berkeley students are randomly assigned to one of three voting conditions and asked to vote on a policy proposal.
1. Public Treatment: Vote and name shared with other participants.
2. Private Treatment: Vote is anonymous and not revealed to other participants.
3. Threshold Treatment: Conditional vote revelation based on participant-chosen thresholds.
See attached pre-analysis plan for details.
Experimental Design Details
Not available
Randomization Method
Randomization done by survey software (Qualtrics)
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A; 1200 inviduals
Sample size: planned number of observations
1200 individuals
Sample size (or number of clusters) by treatment arms
Approximately 400 participants per treatment arm (1200 total across three arms: Public, Private, and Threshold treatments).
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
CPHS, UC Berkeley
IRB Approval Date
2025-05-10
IRB Approval Number
2025-03-18412
Analysis Plan

Analysis Plan Documents

Threshold - Pre-Analysis Plan

MD5: c0e9cf5ba554450c077d2aab10ee65aa

SHA1: a25b505dc178b8febe0ca611f6b21f4cf87c4a5a

Uploaded At: October 15, 2025