A new study highlights the sensitivity of large language model (LLM) confidence calibration to various measurement choices, suggesting that both verbalized confidence and token-probability scores are influenced by protocol-specific factors. This raises questions about the reliability of these confidence signals in evaluating model uncertainty and calls for more explicit reporting standards in the field.