Another day, another new scientific paper has been published reporting efforts to curb anthropogenic CO2 emissions are “meaningless.” [emphasis, links added]

In this study, multiple linear regression analysis was performed comparing SST versus anthropogenic CO2 emissions as explanatory factors and the annual changes in atmospheric CO2 as the objective variable over the period 1959-2022.

The model using the SSTs (NASA, NOAA, UAH) best explained the annual CO2 change (regression coefficient B = 2.406, P = <0.0002).

In contrast, human emissions were not shown to be an explanatory factor at all in annual CO2 changes (regression coefficient B = 0.0027, P = 0.863).

Most impressively, the predicted atmospheric CO2 concentration using the regression equation derived from 1960-2022 SSTs had an extremely high correlation coefficient of r = 0.9995.