Ok. So here we have a statistically non-robust result, that the authors are well aware is not statistically robust, being published because it’s of “high policy significance”. However, and critically, the authors included no discussion whatsoever of the statistical limitations of the evidence. The “-0.55” in the abstract is not “-0.55 +/- 1.1” or something like that to give the reader a heads up that there is a lot of uncertainty here. There is no calculation of the “p-value” of that trend (how likely it was to occur by chance), even though the rest of the paper is littered with p-values of subsidiary results. They know perfectly well how to calculate this, they know it’s not statistically significant, but they chose to put their readers in a position where we have to take the data off the graph and do our own statistical analysis to realize what’s really going on.
And the refereeing and editorial process at Science allowed the paper to be published like that.
I think that sucks.
— Climate Alarmism at Science Magazine? - Dr. Stuart Staniford
Dr. Staniford is a physics PhD and is not a climate skeptic.
