Take theClimate Science Challenge
Challenge: Imagine if you were to computer model the traffic infrastructure of a city. Your job is to set up the traffic-light system to work most efficiently to allow traffic to flow smoothly. However, you don’t know whether some intersections have lights or not. Some of the speed limits on some streets are unknown. The number of lanes on some streets are unknown. You don’t know that some streets are one-way. There are pedestrian-triggered lights that are unknown. And some construction zones are unknown to you. What are the chances of you creating a computer model to set the traffic lights so that traffic moves smoothly? Absolutely none. You would have to develop your models with presumptions that would be little more than guesswork. In fact, every time that you would change some variable because of a lack of accurate information, you would end up with completely differing results, and all would be failures.
Results: Climate computer modeling is much more complex than modeling traffic. There are literally dozens of possible influences on the global climate that cannot be reliably quantified, and hundreds and maybe thousands of feedback interactions that simply cannot be accounted for. So instead of producing conclusive results, every new model is unlike any of the old models. And none of them actually mirror the existing global temperature datasets. In effect, every model is quite unsurprisingly a failure.
Conclusion: Climate computer models are only useful as propaganda (which again, unsurprisingly, is how they are used).