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Openai/69434f20-ed90-800d-ab60-60312c9de3dd
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===== - Credibility: - Consistently distinguishes between methodology vs. conclusions (e.g., questioning how math/questions are framed, not rejecting math itself). - Correctly identifies confirmation-biased questioning as a methodological flaw rather than a numerical one. - Emphasizes external verification, mechanics, and probability theory over narrative certainty. ===== * Behavioral Patterns: - Pattern-recognition focused: Repeatedly points out recurring behaviors (assumptions β conclusions β denial). - Boundary-setting behavior: Explicitly states when further engagement is pointless due to perceived dishonesty or fallacy. - Escalating tone but stable logic: Language becomes sharper, yet arguments remain structurally consistent. * Weaknesses: - Heavy use of ridicule and repetition can reduce persuasive effectiveness for neutral observers. - Occasionally overstates certainty in behavioral interpretation (e.g., intent vs. outcome).
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