Oh this is so ridiculous!
The whole GW/carbon argument is correlation, that is the argument: GW is a sign there is too much carbon.
But it is not known if there is causation!
The test for this argument is whether this has happened before. It hasn't therefore the argument fails the test. And in fact we have had warming in the past without carbon increases. So the argument is false. It isn't even prima facie!
So in reality, this is a one off correlation so the warrant doesn't hold and it is only a coincidence!
But the hippies think its a causation argument with a warrant X causes Y though that can't be demonstrated!
Seriously... GW/carbon is such BS!!!
What's ridiculous is that you think this rubbish is an accurate portrayal of how global warming attribution works. This isn't even a good portrayal of how the models work...
It is not correlation only. I've told you that before. It is well documented that carbon dioxide is a greenhouse gas. That is causation. Take a tube which has infrared radiation passing through the it, fill it with carbon dioxide, and measure the difference in temperature before, and after. You have heat retained. It's not that difficult, it's done in introductory chemistry labs...
That is demonstrated. You can wave your hands all you like, but it is demonstrated.
I'll walk you through it Scotty since you don't appear capable of understanding this on your own. What they use are regressions, not correlations. You need to have a correlation first, before you can use a regression, and you of course need causation. If you have causation, you will have:
1) A strong association. Check. Tyndall's experiment.
2) The association is consistent. Check. Chem 1000 labs find the same thing.
3) Stronger concentrations are associated with stronger responses. Check. Add more carbon dioxide to the tube, and you get more heat retained.
4) Alleged cause precedes effect. Check. The temperature in the tube doesn't rise before you add the carbon dioxide.
5) The alleged cause is plausible. Check. The temperature of our planet is 14°C because of the greenhouse gases. Instead of the -18 °C it would be without them.
So, we have causation, now we can move onto regressions. There are three assumptions we need to do regression analysis, normality in the error terms, constant variance in the error terms, and independent from error terms.
The regression model looks like this
yi= B0 + B1X1 + B2X2 + ...BpXip + Ei
That basically says that the response value, is a function of the value of y when x is zero, plus the amount y changes for an increase of one unit in each of p parameters, plus the error term.
The variation we see in the model output should be an indicator to you Scott, that it is not just a simple correlation. No model shows monotonic increases in temperature (what one would expect if you modeled temperature based on a correlation to carbon dioxide).
There are multiple facotrs. Multiple factors derived from physical relationships in the atmosphere, ocean, land use, cosmic variance, orbital parameters, etc.
What is BS, is what you think you understand about how climate science works.