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circular_reasoning
Circular reasoning occurs when the conclusion of an argument is assumed, explicitly or implicitly, in one of its premises. Rather than providing independent support, the argument loops back on itself, making it logically valid but epistemically empty. It can be difficult to detect when the circle is large or the conclusion is rephrased in the premises.
"The Bible is the word of God because it says so in the Bible, and the Bible is trustworthy because it's the word of God."
This investment strategy is the most profitable because it generates the highest returns, and we know it generates the highest returns because it's the most profitable strategy.
Senator Hayes is the most qualified candidate because she has the best credentials, and we know she has the best credentials because she is clearly the most qualified candidate.
A ⇒ B ⇒ A (circular)
Binary (yes/no) questions an LLM must answer to identify this aspect:
Does the conclusion appear (possibly rephrased) among the premises?
Type: binaryIs there a circular chain where A supports B and B supports A?
Type: binaryCan any premise be verified independently of the conclusion?
Type: binaryCircular reasoning occurs when the conclusion of an argument is assumed, explicitly or implicitly, in one of its premises. Rather than providing independent support, the argument loops back on itself, making it logically valid but epistemically empty. It can be difficult to detect when the circle is large or the conclusion is rephrased in the premises.
When the premise and conclusion use different wording, the circularity is hidden. People also tend to accept arguments that confirm beliefs they already hold, making them less likely to notice the loop.
Ask whether any premise can be established independently of the conclusion. If removing the conclusion makes the premises unsupported, the argument is circular.
Common in religious apologetics, political ideology ('our system is the best because our values are correct, and our values are correct because our system produces them'), and self-referencing corporate mission statements.
Common phrases used to quell cognitive dissonance and end debate.
Finding a pattern in data and testing significance on the same subset (circular analysis).
Predictive trap where the predictor cannot lose regardless of outcome.
Use these tools to detect, analyze, or train this aspect.