This was my point - that we know the sun's output was lower because our models show it. Our models require it. There are no true proxies for solar output because we haven't been around for any appreciable fraction of its existence. So we construct proxies. If they give us results consistent with our models, then they are good proxies. If they do not, then they are bad proxies. This doesn't necessarily make the models wrong, but we do need to understand that we are proving the models with data which are themselves proven by the models. It's turtles all the way down.
Everything in science and engineering is a model. The only question is are the models useful.
Apples don't fall because they follow Newtons Laws of motion. Newtons Laws of motion adequately predicts the behavior of a falling Apple.
Linear circuits don't operate because they follow Kirschoffs Law. Kirschoffs Law adequately predicts the the behavior of the circuit so we can design it.
Stars don't fuse hydrogen to helium in a predictable manner because they follow fusion theory and the main sequence. The main sequence and fusion theory adequately predict how stars behave over time.
All of these make predictions that are useful and verifiable. They all have margins of error in their predictions. Engineers work around this by uncertainty by adding a factor of safety or extra margin. Scientists add error bars to their models.
Why you insist on drawing a distinction between certain types of models I don't understand.
Overvolt said:
Thank you Overvolt for so eloquently backing up my response. :thumbsup: