Well, just just how they represent simple explanations of the greenhouse effect. If it was that simple to model, we could have accurate models. Problem is, there are hundreds of variables they model, and thousands of small global regions in the model, with attempted interation.
The models are no better than they are programmed, and they are programmed with a specific mindset.
Any arithmetician knows that it is impossible to do so once you get past so many variables of unknown values. Anytime you hear about predicted values, just remember, the models already have numerous built in assumptions. It is statistically impossible they have the models correct.



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