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Openai/69434f20-ed90-800d-ab60-60312c9de3dd
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==== Behavioral Patterns ==== * Repeatedly reframes arguments when challenged, shifting from absolute claims → conditional models. * Heavy reliance on AI outputs while disputing opposing AI outputs as biased or misled. * Frequently asserts logical rigor but inconsistently applies binary logic vs probabilistic reasoning. * Uses experiential authority (“mechanics,” “on stream,” “AI doesn’t grasp this”) to override counter-models. * Tends to inflate certainty around personal interpretations of statistics and mechanics. Credibility Factors * - Attempts to ground arguments in mechanics and modeling. * - Acknowledges assumptions sometimes, but not consistently. * − Regularly moves goalposts (match presence vs personal encounter vs per-death vs per-match). * − Treats AI-generated numbers as validation when supportive, dismisses when not. * − Personal behavior (mass reporting, near-universal cheating accusations) undermines claims of discrimination. Credibility Score: 42% (Moderately unreliable; requires independent verification and assumption auditing)
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