LLMs show a causal illusion bias: they often report causal relationships when evidence is purely correlational, null-contingency, or temporally impossible, particularly in 0-100 scaled judgments.
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Do Large Language Models Show Biases in Causal Learning?
LLMs show a causal illusion bias: they often report causal relationships when evidence is purely correlational, null-contingency, or temporally impossible, particularly in 0-100 scaled judgments.