Counterfactual thinking and recency effects in causal judgment.

Area of Science:

• Cognitive Psychology
• Decision Science
• Causal Inference

Background:

• Causal judgment research traditionally faces challenges explaining recency and primacy effects.
• Existing counterfactual models struggle to account for these opposing biases in attributing causality.

Purpose of the Study:

• To investigate the recency and primacy effects in causal judgment.
• To propose and validate an extended counterfactual model that explains both effects.
• To examine the role of counterfactual thinking in modulating these causal judgment biases.

Main Methods:

• Five experiments involving 5507 participants were conducted.
• Participants' causal judgments were assessed under varying causal structures, including overdetermination.
• Counterfactual thinking was manipulated by directing participants to imagine alternative scenarios.

Main Results:

• Evidence was found for both the recency effect (favoring recent causes) and the primacy effect (favoring earlier causes in overdetermined scenarios).
• People preferentially imagine counterfactuals for more recent events, regardless of causal structure.
• Manipulating counterfactual imagination altered the strength of the recency-causal structure interaction.

Conclusions:

• An extended counterfactual model successfully explains both recency and primacy effects in causal judgment.
• Counterfactual thinking, specifically the focus on recent events, plays a crucial role in these judgment biases.
• The findings offer insights into counterfactual thinking, causal modeling, and late-preemption scenarios.