The article tests how people make judgments about cause and effect when there are inhibitory relationships. The researchers found that errors in causal reasoning, called Markov violations, occur in these situations. These errors go against traditional models of causal thinking. However, a new model that looks at how people reason about specific cases accurately predicts these errors. This shows that mistakes in causal reasoning happen in various scenarios and can be explained by a different way of understanding how people think about cause and effect.