Singular clues to causality and their use in human causal judgment

Area of Science:

• Cognitive Science
• Psychology
• Philosophy of Science

Background:

• Causal understanding is fundamental to cognition.
• Previous research often focused on statistical associations like conditional probabilities.
• The origin and nature of basic causal inference remain debated.

Purpose of the Study:

• To propose that causal understanding originates from direct experiences of acting on objects.
• To identify and catalog the specific features (singular clues) present in these experiences.
• To argue for the primacy of these singular clues over statistical measures in causal judgment.

Main Methods:

• Conceptual analysis and theoretical argument.
• Proposal of a catalog of 14 "singular clues" derived from action experiences.
• Examination of how these clues function as heuristics and potential biases.

Main Results:

• Identified 14 singular clues detectable in single instances of action.
• Demonstrated that these clues serve as heuristics for causal judgment under uncertainty.
• Argued that more complex causal inference methods (e.g., mechanism, repeated interventions) are derived from these basic clues.
• Showed that empirical association and conditional probabilities rely on the presence of singular clues.

Conclusions:

• Causal understanding is fundamentally rooted in embodied experiences of acting on objects.
• Singular clues derived from these experiences are the basic building blocks of causal inference.
• Statistical measures like association and contingency are secondary and depend on these foundational singular clues.