Earlier quoted context omitted.
The orders of magnitude more nodes and inputs mean that there are orders of magnitude more opportunities for mistakes to be made in the models. It also increases the likelihood of failing to find a confounding variable. The upper bound on system complexity is factorial. I shouldn't need to explain how big that is when you start talking about many orders of magnitude.
That is why it is so difficult to predict the weather. But you don't need to predict the weather to predict changes to the global climate. Just like you don't need much of a model to predict that if a rogue planet passed through the solar system, existing orbits would be perturbed. Calculating the precise perturbations would be complex, but not predicting their existence. Likewise, it's difficult to predict exactly h…
Given that the earth has had temperature excursions of +4C and -4C in the past 100k years it seems that there are some kind of forces that keep the temperature within that range. What are they? Climatologists are saying "tipping points" and whatnot, but if you believe the very long climate history as measured by proxies you would have to admit that there certainly SEEMS to be something that stops the temperature from rising further, and something that stops it from falling further. What are those mechanisms?