An evidence game is a strategic disclosure game in which an informed agent who has some pieces of verifiable evidence decides which ones to disclose to an uninformed principal who chooses a reward. The agent, regardless of his information, prefers the reward to be as high as possible. We compare the setup in which the principal chooses the reward after the evidence is disclosed to the mechanism-design setup where he can commit in advance to a reward policy, and show that under natural conditions related to the evidence structure and the inherent prominence of truth, the two setups yield the same outcome.

We study a novel mechanism design model in which agents each arrive sequentially and choose one action from a set of actions with unknown rewards. The information revealed by the principal affects the incentives of the agents to explore and generate new information. We characterize the optimal disclosure policy of a planner whose goal is to maximize social welfare. One interpretation of our result is the implementation of what is known as the “wisdom of the crowd.” This topic has become increasingly relevant with the rapid spread of the Internet over the past decade.