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Openai/69434f20-ed90-800d-ab60-60312c9de3dd
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==== Core Behavior (Original Content Only) ==== * Expands arguments by adding contextual/game-mechanic factors. * Reframes criticism as misunderstanding of intent or scope. * Uses AI-derived figures as supporting justification. * Emphasizes complexity and situational variance. Positive Indicators * Acknowledges that multiple variables can affect outcomes. * Attempts to move discussion beyond surface-level statistics. * Shows willingness to revise framing (e.g., per-match vs per-death). Negative Indicators * Frequently asserts results without transparent derivation. * Relies on hypothetical modifiers without falsifiability. * Shifts goalposts between “cheater in lobby” vs “killed by cheater”. * Treats AI outputs as confirmatory evidence, not models. Behavioral Pattern Summary * Explanatory but defensive. * High confidence paired with low evidentiary transparency. * Tends to argue from plausibility rather than verification. Credibility Score: 45% (Low–Moderate: contextual thinking present, but weak validation and moving frames)
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