Based on my research of Dai Ato's study on atmospheric CO₂ concentrations, here is my analysis:

Claim Analysis:

• Dai Ato performed multiple linear regression analysis using annual changes in atmospheric CO₂ as the objective variable¹
• The study used both Sea Surface Temperature (SST) and human emissions as explanatory factors/predictors¹
• The results consistently showed that SST was the strong independent determinant of annual CO₂ increases with high statistical significance (regression coefficient B = 2.406, P < 0.0002, model R² = 0.663)²¹
• Human emissions, when included as a predictor, showed no statistical significance (regression coefficient B = 0.0027, P = 0.863)²
• The study explicitly states: "All data combinations yielded similar results. SST was consistently a strong independent determinant of annual CO₂ concentration increases but not human emissions"³
• The conclusion notes that "human CO₂ emissions were irrelevant" and that including them did not change the finding that SST was the main explanatory factor¹³

Overall validity: 95%

1. Dai Ato: The Sea Surface Temperature Rules
2. New Study: Human Emissions 'Irrelevant' In Determining Changes In ...
3. [PDF] SCC-Ato-Multivariate-Analysis-Vol.4.2.pdf - Science of climate change