First three minutes of his talk: the real world is messy and muddy and you can't use models to make predictions.
Minute five: if we convert all of the excess CO2 in the air into soil, we'll need to add 1/10th of an inch of topsoil per year. "Therefore I conclude that the CO2 problem is one primarily of land management."
After berating climate scientists for using mathematical models for using fluid dynamics (driven by huge supercomputers), he turns around and does a back-of-the-envelope calculation like this. It was so disappointing to listen to a brilliant person utterly fail at self-reflection.
As for the rest of your argument, there are books and books and books that address all of it point by point.
As for nonlinear systems, your trillion-cell body is beyond my comprehension to understand or predict a day or two in advance. However, I predict you will be dead in 90 years. I also predict it will be cold in winter and warm in summer. Do you understand that models are layered and not all inputs are the same?
> After berating climate scientists for using mathematical models for using fluid dynamics (driven by huge supercomputers), he turns around and does a back-of-the-envelope calculation like this. It was so disappointing to listen to a brilliant person utterly fail at self-reflection.
This conclusion does not necessarily follow. You can use a very sophisticated computer model based on statistical mechanics that takes into account all particles in the system and their interactions and I can tell you it's wrong using a simple thermodynamic equation. Sometimes a problem is tractable because you get rid of details.
Ok to be fair searching for a good reference specifically in book form isn't as efficient as turning up articles and websites.
For the "models are inherently reliable" schtick (holy heck, where would be if every field of science had motivated trolls jumping out of the woodwork to decry "models"--ffs the dynamics of a single atom--let alone molecule--are still based on models that need to be calibrated and make predictions)...please have a gander at how climate models are constructed and cross-validated. A good reference is https://www.skepticalscience.com/climate-models.htm. It'd be great if we could instead take a look at how much computational power and painstaking care has gone into tuning and analyzing models. One important technique is that a model must be able to reconstruct the past based on limited data. That's one useful check that they aren't just generating complete garbage, but actually model some important underlying system dynamics. I do not work on climate models but I do work on performance of computer systems and after having a look at the math and modeling that goes into climate I can confidently say that we understand climate better than we understand the performance of computer systems which we designed and built ourselves.
As for the "CO2 is incredibly beneficial to plants"...people also test this and it turns out not as much as claimed, there are other limiting factors, like Nitrogen, and oh by the way, that all assumes that they are not significantly negatively affected by climate change as well. A good reference, from actual experts, here: https://www.scientificamerican.com/article/ask-the-experts-d.... The truth is that nobody is seriously jazzed about more CO2 somehow increasing crop production. Which really shows how outdated and simplistic Dyson's thinking was.
Minute five: if we convert all of the excess CO2 in the air into soil, we'll need to add 1/10th of an inch of topsoil per year. "Therefore I conclude that the CO2 problem is one primarily of land management."
After berating climate scientists for using mathematical models for using fluid dynamics (driven by huge supercomputers), he turns around and does a back-of-the-envelope calculation like this. It was so disappointing to listen to a brilliant person utterly fail at self-reflection.
As for the rest of your argument, there are books and books and books that address all of it point by point.
As for nonlinear systems, your trillion-cell body is beyond my comprehension to understand or predict a day or two in advance. However, I predict you will be dead in 90 years. I also predict it will be cold in winter and warm in summer. Do you understand that models are layered and not all inputs are the same?