Chapter 6. Causal Reasoning and Explanations

Summary

• The Nature of Causation: We explore the philosophical shift from David Hume’s “constant conjunction” (observing one thing after another) to Wesley Salmon’s mechanistic processes (the physical “how”).

• Conditions of Occurrence: We define the logical tools of Necessity (the requirement) and Sufficiency (the guarantee) to move beyond vague “A caused B” statements.

• Aristotle’s Explanatory Framework: We look at the Four Causes (Material, Formal, Efficient, and Final) to understand why things exist and how they function.

• Mill’s Methods: We apply John Stuart Mill’s five inductive techniques—Agreement, Difference, Joint, Concomitant Variation, and Residues—to isolate causes in scientific and everyday settings.

• Causal Fallacies: We unmask the common errors that lead to superstition and misinformation, including the Post Hoc fallacy and the pervasive confusion between Correlation and Causation.

Key Terms

• Causal Argument: An inductive argument whose conclusion is a causal claim (stating that one event or state of affairs brings about another).

• Necessary Condition: A circumstance in whose absence the event cannot occur (e.g., oxygen is necessary for fire).

• Sufficient Condition: A circumstance in whose presence the event must occur (e.g., decapitation is sufficient for death).

• Material Cause: The physical substrate or “stuff” that constitutes an object (e.g., the marble of a statue).

• Formal Cause: The pattern, structure, or “blueprint” of a thing (e.g., the shape of the statue).

• Efficient Cause: The primary source of change or the “trigger” (e.g., the sculptor’s work).

• Final Cause (Teleology): The purpose, goal, or “end” for which a thing exists (e.g., to honor a hero).

• Method of Agreement: Finding the one common factor across different cases to identify a necessary condition.

• Method of Difference: Comparing two cases that differ in only one factor to identify a sufficient condition.

• Post Hoc, Ergo Propter Hoc: The fallacy of assuming that because Event B followed Event A, A must have caused B.

• Correlation: A statistical relationship where two variables move together, which does not necessarily imply that one causes the other.

• INUS Condition: An Insufficient but Non-redundant part of an Unnecessary but Sufficient condition (explaining how complex webs of events cause an effect).