Latest / Levent Bulut - Objective Projection
96% Agreement, 0 Kappa: The AI Error Paradox
How can an AI model score 96% raw agreement yet completely fail in statistical reliability? Uncover the hidden flaw behind LLM benchmark evaluations and the reality of the Cohen's Kappa paradox!When evaluating large language models (LLMs) and rule-based detectors against an independent human annotator, an unexpected statistical contradiction surfaces: despite achieving 96% raw agreement, Cohen's Kappa drops to exactly 0.000. Known in clinical and data science literature as the "high agreement, low kappa" paradox (Feinstein & Cicchetti), this artifact is driven by severe class imbalance where…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.