[dila813]

One thing that bothers me about their methods,

They take multiple proxies that are unrelated that have a similar shape and put them together to improve the certainty in their conclusions.

With this approach, you will automatically get a sharper and crisper line when you run your analysis.

The problem is, it doesn’t mean anything, it is a bad statistical practice to take unrelated data and average it together to improve the statistical significance of it. All you are doing is really finding that they are significantly similar, not that the values are correct.

[Paladin2]

In their minds they have proven that the recent temperatures / rates of increase (of some system they don't really define) are beyond the confidence interval of their understanding of "natural" forcings.

I haven't seen them state a H1 and H0 and prove their correlative (not necessarily causative) case statistically.