There are dozens of climate change models. They all consider different factors. They use different mathematical formulas. They all achieve the same dire forecast. None of them have any validation criteria to assure accuracy.
The answer to the lack of validation is: the models are extremely complex. What? That is like trying to build a Ferris wheel and getting a merry-go-round. So you have to except the merry-go-round is in fact a Ferris wheel because the construction is extremely complex.
Validation is really quite simple. Pick a date, for instance January 1, 1980. Do we know the temperature of every day between then and now? Yes. What factors are in the model, for instance carbon emissions. Do we know that data for every day between then and now? Yes. Do the same with all other factors.
Now input the 1980 start conditions run the model and see if it produces the results for January 1, 2005. Simple! None of the models can do it. OK a one day prediction is too narrow to hit precisely. So make it the average for the month of January 2005. Make it the first three months of the year. Or, six months. Or, the year. Doesn't matter the model can't replicate the known outcome.
What use is a model with no validation. Knowing the data for the last twenty-five years they cannot reproduce the known outcome. Yet, we are to except the extremely complex model's prediction for twenty-five years from now. Just how bogus is that.
By the way, none of these models are published in a manner for the formulas and calculations to be examined. And, why should they? After all, would they lie to us?
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