Distinguishing genuine from spurious causes: a coherence hypothesis.

Area of Science:

• Cognitive Psychology
• Causal Inference

Background:

• Traditional views (power and covariational) explain causal judgments but face challenges.
• Existing models struggle with cases lacking innate knowledge or controlled covariation.

Purpose of the Study:

• To propose and test the coherence hypothesis, integrating existing views on causal judgment.
• To explain how people distinguish genuine from spurious causes under challenging conditions.

Main Methods:

• Two experiments were conducted to test the coherence hypothesis.
• Participants evaluated causal relationships where candidate causes covaried with an effect without implying causality at a basic level.
• The experiments manipulated the presence of abstract-level covariation and alternative explanations.

Main Results:

• The coherence hypothesis successfully explained phenomena challenging existing causal judgment theories.
• Results indicated that abstract-level covariation significantly influences the assessment of genuine versus spurious causes.
• Confidence in judging spurious causes increased when an alternative explanation was present.

Conclusions:

• The coherence hypothesis offers a more comprehensive framework for understanding causal inference.
• Abstract-level reasoning and the principle of parsimony are crucial for accurate causal judgments.
• This research highlights the importance of superordinate knowledge in distinguishing causality.