Claim: Dai Ato's model reproduced global carbon dioxide levels with a correlation of 0.995 when using only ocean temperature as a predictor
65%Based on my investigation of the available sources:
Fact-check summary:
- Dai Aato did publish a paper in "Science of Climate Change" (2024) titled "Multivariate Analysis Rejects the Theory of Human-caused Atmospheric Carbon Dioxide Increase: The Sea Surface Temperature Rules"12
- The paper reported Pearson correlation coefficients between predicted and actual CO₂ concentrations of r = 0.9995 for UK-HADLEY SST data and UAH-SST data, and r = 0.9997 for GISS-SST data12
- The claim's correlation value of 0.995 is incorrect—the actual reported value was 0.9995 (or 0.9997 for GISS data)12
- The methodology description in the claim is misleading—the study used multiple linear regression with both SST and human emissions as explanatory variables, not "only ocean temperature." However, human emissions were found not to be a determining factor in the models12
Important caveats:
- The paper was published in a journal with known climate skeptic editorial positions (Chief Editor: Prof. H. Harde; Guest Editor: Prof. P. Stallinga)2
- The findings contradict the overwhelming scientific consensus that human emissions are the primary driver of atmospheric CO₂ increases32
- The author is an independent researcher without institutional affiliation, which may affect peer review rigor24
Overall validity: 65%