Predictions are often inaccurate. Still, the direction of prediction errors may vary. Contrary to research on the intention-behavior gap, where people fail to live up to their ambitions, a study on “moral forecasting” found that people behaved more honestly than they predicted. In this registered report, we present two close replication attempts and one conceptual replication attempt of this moral forecasting error across two experiments. In Experiment 1 (N = 1839), we recruited a general population sample from the same country as the original study (Canada) to an online experiment. We successfully replicated the moral forecasting error using a math-based cheating task from the original study: Predicted cheating was much higher in a moral forecasting condition than actual cheating in a moral action condition (d = 0.69). In Experiment 2 (N = 1381) we replicated the forecasting error again, using the same task in a general population sample from the U.S. (d = 0.72). However, we were unable to conceptually replicate the effect using a different dishonesty measure, the “mind game”, in Experiment 1 (φ = 0.03). We also could not reduce the forecasting error through a debiasing intervention in Experiment 2 (d = 0.01). Across both experiments, participants predicted that others would cheat much more than they would themselves. In this registered report, we conclude that the moral forecasting error is robust for the original cheating task. We also show that it can generalize contextually (from a lab to an online setting), but not to a different task. Future research may show exactly when predictions about one's own honesty are pessimistic rather than optimistic.

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