Normality and actual causal strength.

Area of Science:

• Cognitive Psychology
• Causal Inference
• Decision Science

Background:

• Normality significantly influences human causal judgments.
• Existing research highlights the link between perceived normality and actual causation.
• A formal explanation for this phenomenon is lacking.

Purpose of the Study:

• To develop a formal explanation for how event normality affects causal judgments.
• To propose a novel measure of actual causal strength.
• To test the predictive power of the new measure, including a novel effect termed 'abnormal deflation.'

Main Methods:

• Utilized graphical causal models and probabilistic sampling concepts.
• Developed a new quantitative measure for actual causal strength.
• Conducted two experimental studies to assess human causal judgments.

Main Results:

• The proposed measure accurately reflects three known effects of normality on causal judgment.
• The studies provided empirical support for the predicted 'abnormal deflation' effect.
• Human judgments demonstrated the predicted impact of abnormality on perceived causation.

Conclusions:

• The findings support the proposed explanation linking normality and causal judgment via graphical causal models.
• The new measure offers a robust tool for quantifying causal strength influenced by normality.
• This research advances our understanding of intuitive causal inference and decision-making.