Claim: Dai Ato's paper tested human emissions as a predictor of the annual increase in atmospheric carbon dioxide concentration from 1959 to 2022
100%Based on my research, I can verify the accuracy of this claim.
Verification of the Claim
The claim is ACCURATE.
Here are the key findings:
- Dai Ato published a paper titled "Multivariate Analysis Rejects the Theory of Human-caused Atmospheric Carbon Dioxide Increase: The Sea Surface Temperature Rules" in Science of Climate Change (Volume 4.2, 2024)123
- The study performed multiple linear regression analysis using annual changes in atmospheric CO₂ levels as the objective variable42
- Sea surface temperature (SST) and human emissions were used as the explanatory factors143
- The analysis covered the period from 1959 to 2022241
- The paper explicitly states: "Multiple linear regression analysis was performed using the annual changes in atmospheric CO₂ levels for each year as the objective variable. The SST and human emissions for each year were the explanatory factors."2
While the paper's conclusion was that human emissions were not statistically significant as a predictor (regression coefficient B = 0.0027, P = 0.863) and that SST was the dominant factor54, the claim about the paper testing human emissions as a predictor over the 1959-2022 period is factually correct.
Overall validity: 100%
- [PDF] SCC-Ato-Multivariate-Analysis-Vol.4.2.pdf - Science of climate change
- [PDF] Volume 4.2 2024 - Science of climate change
- Dai Ato: The Sea Surface Temperature Rules
- Ato: Multivariate Analysis Rejects the Theory of Human-caused ...
- New Study: Human Emissions 'Irrelevant' In Determining Changes In ...