So just to be clear you are dismissing the 12 peer reviewed climate models cited by the Council of Economic Advisers and the Office of Management and Budget, in this federal government report https://www.whitehouse.gov/wp-content/uploads/2023/03/CEA-OMB-White-Paper.pdf?Models have problems. "Projections" cannot be cited as evidence. The models are changed over time, lack a scientific underlying basis, and have artificial limits imposed by the model designers, so cannot be trusted.
If not models like these , what then are you basing you judgement about climate change upon?
Koonin is a data analysis guy, typically using the government's own data to hoist them on their own petard for making hyperbolic claims. In fact Koonin does not deny warming, just the flawed incorrect response to that climate warming.Koonin is just drinking at the teat of climate denialism.
Yes indeed models are full of too much fudge. Koonin used to be involved in model design, too.Did I cover all the modeling bases? This should cut both ways, shouldn't it?
WWW said:Koonin first studied climate models almost 30 years ago as part of a team advising the U.S. government on the prospects for high-powered scientific computers to advance climate prediction. He describes the way the models organize the physical layout of the atmosphere and oceans and the resulting proliferation of processes that need to be explained. The first problem is that many key phenomena, such as cloud formation, involve processes that are simply unknown. So modelers have to make educated guesses about what goes on. The next problem is that many processes are known but take place on too small a scale for models to be able to compute them all in a reasonable amount of time. So again, modelers resort to approximations. Then a further problem arises that to initialize the model requires detailed information about the history of the oceans and atmosphere and such data simply don’t exist. So… approximations again.
But the government is trying to make people change their lives based on a non concise data backed belief system (too much fudge makes a model worse than a guess, more like programmed propaganda).
JR