Modeling confidence in causal judgments.

O'Neill, Kevin; Henne, Paul; Pearson, John; De Brigard, Felipe

doi:10.1037/xge0001615

Journal of Experimental Psychology: General

2024

DOI: 10.1037/xge0001615

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Modeling confidence in causal judgments.

Kevin O'Neill,

Paul Henne,

John Pearson

et al.

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2024

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No evidence that reversibility affects causal judgments in late-preemption cases

Henne,

Perez,

McCracken

2024

Philosophical Psychology

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Recently, Ross and Woodward (2022) argued that the reversibility of an outcome-that is, whether the outcome can be undone-affects causal judgments. One prediction of their account is that reversibility affects causal judgments in late-preemption scenarios, where people typically judge that events that produce the outcome earlier are more causal than preempted alternative events that would have otherwise produced the outcome. Ross and Woodward's account predicts that when the outcome is reversible, people would judge these events similarly-as in standard overdetermination cases. In three experiments, we found no evidence that reversibility affects causal judgments in late-preemption cases. We discuss how these results affect the experimental philosophy and cognitive science of causation, causal modeling, and experimental jurisprudence.

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No evidence that reversibility affects causal judgments in late-preemption cases

Henne,

Perez,

McCracken

2024

Philosophical Psychology

View full text Add to dashboard Cite

show abstract

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Modeling confidence in causal judgments.

Cited by 1 publication

References 111 publications

No evidence that reversibility affects causal judgments in late-preemption cases

No evidence that reversibility affects causal judgments in late-preemption cases

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