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Trial Title Improve truth-telling in blockchain consensus Improve Truthful Revelation using Blockchain Features
Abstract We will conduct a lab experiment to evaluate interventions that leverage blockchain features to promote truth-telling. The interventions are a collateral requirement (high/low), and whether the report sent by participants is randomized to flip before entering the poll. We will conduct a lab experiment to evaluate interventions that leverage blockchain features to promote truth-telling. The interventions include 1) collateral size (high/low), and 2) transmission noise level (high/low).
Last Published March 05, 2026 06:08 AM April 12, 2026 04:44 AM
Primary Outcomes (End Points) The truthfulness of participants' reports and whether the consensus is the same as the state of the world that participants observe. 1. Truthfulness of participants 2. Performance-dependent payoffs participants gain from the experiment
Primary Outcomes (Explanation) Each participant reports the state of the world. Although they have an incentive to misreport, our treatment interventions attenuate this incentive. Two players share information about the state of the world. They have incentives to misreport, while our treatment interventions attenuate the incentives and promote truth-telling.
Experimental Design (Public) The experiment follows a 2-by-2 between-subjects design. Participants have an incentive to misreport in the baseline. Each treatment dimension represents an intervention to reduce the incentive to lie. By randomizing whether participants receive these interventions, we expect that lying is less frequent with the interventions than in the baseline. The experiment follows a 2-by-2 between-subjects design. Participants have incentives to misreport in the baseline. Each treatment dimension represents an intervention to reduce the incentives to lie. By randomizing whether participants receive these interventions, we expect that lying is less frequent with the interventions than in the baseline.
Randomization Method Randomization done by a computer. Randomization is done by a computer.
Sample size (or number of clusters) by treatment arms 50 participants low collateral no randomization (baseline); 50 participants high collateral no randomization; 50 participants low collateral randomization; 50 participants high collateral randomization. There are 50 participants in each of the four treatments from the 2-by-2 design, so the total number of participants is 200.
Intervention (Hidden) 1. Verifable randomness: whether the participants' vote is flipped with certain probability. 2. Size of collateral: high or low collateral. 1. Transmission noise level: high or low 2. Collateral size: high or low
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Irbs

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IRB Approval Date October 07, 2026 October 07, 2025
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