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argument_from_sign
An argumentation scheme that infers the existence of an unobservable condition from an observable sign that typically correlates with it. The strength of the argument depends on the reliability of the sign-condition correlation and the absence of alternative explanations for the sign.
The ground is wet (sign), so it must have rained (condition). Smoke is visible (sign), so there must be a fire (condition).
A doctor notices a patient has a high fever, swollen lymph nodes, and fatigue, and infers the patient likely has a bacterial or viral infection. Each symptom serves as a sign pointing toward an underlying condition that cannot be directly observed without further testing.
A financial analyst sees a sudden spike in insider stock purchases at a company and infers that executives likely have non-public knowledge of positive upcoming earnings. The trading pattern is a sign used to infer an unobservable internal condition.
Sign(S) ∧ Generally(S → C) ⇒ C
Binary (yes/no) questions an LLM must answer to identify this aspect:
Is an observable indicator or sign being cited?
Type: binaryIs a conclusion about an unobserved state or condition drawn from this sign?
Type: binaryIs the connection between the sign and the conclusion based on a generally reliable correlation?
Type: binaryAre alternative explanations for the sign adequately considered?
Type: binaryAn argumentation scheme that infers the existence of an unobservable condition from an observable sign that typically correlates with it. The strength of the argument depends on the reliability of the sign-condition correlation and the absence of alternative explanations for the sign.
Signs serve as legitimate evidential shortcuts in everyday reasoning. We routinely and successfully infer unobserved causes from observed effects.
Ask whether the sign could have alternative causes. Check the reliability of the sign-condition correlation. Look for additional confirming or disconfirming signs.
Medical diagnosis, weather prediction, animal tracking, forensic investigation, and debugging.
Use these tools to detect, analyze, or train this aspect.