The Eschenbach analysis is not peer-reviewed, and yet peer-review was one of the things you were harping on when you claimed you asked "name" climate scientists if they had any peer-reviewed empirical papers for you. So you either believe peer-review or you don't, and it seems you can't make up your mind. But the Eschenbach analysis has been criticized due to its use of highly questionable transformation of the data. Also, his ice core graph, showing the uptick in CO2 has been questioned and not supported by data; many ice core reconstructions up to time present (not to 5kya ago) show a leveling off of CO2. And no offense but Eschenbach is an amateur scientist with a Psychology degree and a certificate in massage. I'm really not gonna take his word over those with actual expertise; this might sound snobby but then again I wouldn't get a massage from a climate scientist. Expertise matters.
When you write, "Glad to see you concede despite the Shakun bluster it is the orbit that controls glacial events not co2" it makes me realize that you are not a serious individual, as I had previously written about the relationship between Milankovitch cycles, CO2, and temperature, yet you are trying to score points as if in a pub. More simply, that M cycles and temperature are linked does not rule out that CO2 and temperature are linked. If you somehow made that wrong leap of logic in your head then I am clearly wasting my time with you.
If you do want to be taken seriously, you really should drop this emphasis on the ills of computer modeling. You say that "empirical observation--animals sent into space" was what allowed NASA to land people on the moon. That is quite poor reasoning. Did they send animals into space without any modeling efforts, or did they just build a rocket and hoped it was go really really high up and then come down?
The IPCC quote isn't relevant here. There have been tons of advances in non-linear dynamic modeling, even those that include chaos. You can't predict much over the long-term (due to chaos) but that doesn't mean that you can't predict over the short-term and certainly doesn't mean that modeling is inherently bad. If you want a basic introduction to nonlinear dynamics with Chaos, I would chapter 4 in "Population Ecology" by John Vandermeer and Deborah Goldberg, it is a good mostly verbal introduction with some math as well.