Predicting the impact of what didn't happen on causal judgments
The article explores how people determine if something that didn't happen still caused an outcome. By using a model that simulates what could have occurred, researchers found that people judge omissions as causes based on their expectations and understanding of physics. The more certain people are that a different outcome would have happened, the more they see the omission as a cause. The structure of the situation and expectations about what should happen also influence people's judgments.