causal-inference

Causal-inference IS a specific kind of methodology — a methodological approach for deducing cause-effect relationships from data or observation. A competent speaker says causal-inference is a method (specific kind of methodology). Direction: specific→general per Law 9.

Causal-inference is built and maintained for the sake of decision-making — its designed purpose is to enable reliable cause-effect reasoning so that decisions can distinguish correlation from causation. Servant (causal-inference) → master (decision-making) per Law 8d.

causal-inference as a methodology needs statistical tools (regression, matching, IV estimation) to operate — remove statistics and causal-inference loses its operational mechanism. This is a present-tense dependency, not merely historical association.

causal-reasoning existed first and fed into the formal methodology of causal-inference. Historical: humans reasoned about causes long before developing statistical causal-inference methods.

Remove causal-inference and the concept of a confounding variable (an uncontrolled alternative explanation that distorts observed causation) loses its entire meaning — confounding variables only exist as a concern within causal reasoning frameworks. This is the removal test: without causal-inference's framework, 'confounding' is just a random correlation with no special status.

Ecological fallacy needs causal-inference to operate now — it is specifically the error of inferring individual-level causal relationships from aggregate data. Remove causal-inference and the concept of ecological fallacy collapses: without the framework of causal relationships at different levels, there is no notion of a fallacy about such relationships. This passes the removal test (Law 8). Note: ecological fallacy can occur with any variable (not just causal), but its most important and studied instances are causal, making causal-inference the operative framework.

Diagnostic reasoning operates by inferring causes from symptoms — remove causal-inference and the practice cannot function. Present-tense necessity (Law 8).

Confounding specifically refers to third-variable distortion of causal relationships. Remove causal-inference and confounding loses its operative mechanism — it cannot be identified as confounding without a causal framework to assess. Present-tense necessity (Law 8).

A causal graph IS BUILT for the sake of causal inference — its designed purpose is to represent causal relationships so that causal inference (identifying cause-effect from data) can be performed. The servant (graph) points at the master (inference). Law 8d.