Editing Openai/6938382f-f9e4-8003-a158-6d812c1bce84 (section)

===== 7.2 Specific weaknesses =====
# Misinterpretation of LWCF RMSE - Treating a 20-year climatological RMSE (±4 W/m²) as an annual, independent calibration uncertainty is not justified by the source literature and misstates what that diagnostic means.
# Inconsistent treatment of systematic error - He correctly identifies cloud errors as systematic and deterministic, but then propagates them as if they were independent random errors in time (RSS over years).
# Dimensional confusion and resolution claims - Adding “per year” to a W/m² bias to compare to GHG forcing trends is dimensionally and conceptually muddled.
# Neglect of anomaly-based analysis - Temperature projections and observations are typically analyzed as anomalies, which cancels much of any constant cloud-related flux bias between baseline and projection period.
# Extreme conclusions not supported by the analysis - The claim that no anthropogenic signal can be evidenced contradicts a large body of detection-and-attribution work and is not rigorously derived from a single cloud-error metric.