For those (like me) who don't know the authors, apparently they are well-published authors in the field of climate science whose work is very highly cited:
https://scholar.google.com/scholar?hl=en&as_sdt=0%2C39&q=gra...
Not a perfect measure of whether this is a reputable article but at least readers should know this isn't from some randos in a basement somewhere.
Setting aside the names of the authors, this is a very bad paper. They take temperature data sets, "adjust" [1] them by attempting to remove the biggest recent factors (volcanism, solar and el nino cycles) affecting temperatures, then do a piece-wise regression analysis to look at trends in 10-year chunks. This is just bad methodology, akin to what a junior graduate student with a failing thesis might do to find signal in a dataset that isn't being cooperative to their hypothesis.
Climate data is inherently noisy, and there are multiple interconnected cyclic signals, ranging from the "adjusted" factors to cycles that span decades, which we don't understand at all. "Adjusting" for a few of these, then doing a regression over the subset of the data is classic cherry-picking in search of a pre-determined conclusion. The overall dubious nature of the conclusion is called out in the final paragraph of the text:
> Although the world may not continue warming at such a fast pace, it could likewise continue accelerating to even faster rates.
They're literally just extrapolating from an unknown point value that they synthesized from data massage, and telling you that's a coin toss as to whether the extrapolation will be valid.
I am not a climate scientist so you can ignore me if you like, but I am "a scientist" who believes the earth is warming, and that we are the primary cause. Nonetheless, if I saw this kind of thing in a paper in my own field, it would be immediately tossed in the trash.
[1] You can't actually adjust for these things, which the authors admit in the text. They just dance around it so that lay-readers won't understand:
> Our method of removing El Niño, volcanism, and solar variations is approximate but not perfect, so it is possible that e.g. the effect of El Niño on the 2023 and 2024 temperature is not completely eliminated.
It says this in bold red at the top - "This is a preprint; it has not been peer reviewed by a journal."
I am not a climate scientist - how should I think about this statement? Normally I am looking for some statement that shows a document has been vetted.
Ironically, those still unconvinced of the human influence on climate change seem to be the sort that would trust the basement randos more than they would reputable scientists