What with the ongoing catastrophe in Afghanistan and the earthquake in Haiti, among other news, you may have failed to notice that the IPCC came out on Monday with substantial parts of its long-awaited Sixth Assessment Report on the state of the world’s climate. This is the first such assessment issued by the IPCC since 2014. The most important piece is the so-called “Summary for Policymakers,” (SPM), a 41 page section that is the only part that anyone ever reads.
The IPCC attempts to cloak itself in the mantle of “science,” but its real mission is to attempt to scare the bejeezus out of everyone to get the world to cede more power to the UN. Beginning with its Third Assessment Report in 2001, the lead technique for the IPCC to generate fear has been the iconic “hockey stick” graph, supposedly showing that world temperatures have suddenly shot up dramatically in the last 100 or so years, purportedly due to human influences. The 2001 Third Assessment Report thus prominently featured the famous Hockey Stick graph, derived from the work of Michael Mann and other authors. Here is that graph from the 2001 Report:

As longtime readers here know, the Hockey Stick was then demolished by the work of Canadian mathematician Stephen McIntyre through his work at his website Climate Audit. The main issue was that the temperature “proxies” that had been used to create the “shaft” of the Hockey Stick, particularly various tree ring series, could not be shown to have any close relationship to actual temperatures; and moreover, there were strong reasons from many sources to think that the Medieval Warm Period (approximately 1000 – 1300 AD) had been warmer than the present.
And then came the ClimateGate emails of 2009. From my post of February 22, 2018:
The coup de grace for the Hockey Stick graph came with the so-called Climategate emails, released in 2009. These were emails between and among many of the main promoters of the climate scare (dubbed by McIntyre the “Hockey Team”). Included in the Climategate releases were emails relating specifically to the methodology of how the graph was created. From the emails, skeptical researchers . . . discovered that the graph’s creators had truncated inconvenient data in order to get the desired depiction.
One particular series that had gone into creation of the Hockey Stick had come from a guy named Keith Briffa. Briffa’s series diverged greatly from actual temperatures, going down (declining) substantially after about 1960 when temperatures measured by thermometers had gone up. This fact needed to be concealed in order to sustain the Hockey Stick presentation. So the creators simply deleted the inconvenient information. The most famous of the ClimateGate emails, copied among various Hockey Stick participants (including Mann), dated November 16, 1999, discussed the situation in these terms:
I’ve just completed Mike’s Nature trick of adding in the real temps to each series for the last 20 years (ie from 1981 onwards) amd from 1961 for Keith’s to hide the decline.
In any rational world, that email alone would have ended the careers of all of these participants. In the actual world where we live, Mann continues to hold a prestigious position at Penn State University, and in February 2018 he won the AAAS award for “Public Engagement With Science.”
And with that background, we come to this week’s SPM. After a few preliminaries, here’s the big scary headline:
Human influence has warmed the climate at a rate that is unprecedented in at least the last 2000 years
And to prove it? Yes, it is another Hockey Stick graph. Although coming from different authors and seemingly different data, it bears a striking resemblance to the Mann, et al., graph of 2001.

McIntyre is promptly on the job again. Here is his post of August 11, basically dismantling the new Hockey Stick. If you have a taste for a lot of technical detail, I urge you to read the whole thing. But the gist is actually simple. This time these people were not going to get caught furtively “hiding the decline.” Instead, they announce boldly that they are simply going to exclude any data that do not fit the narrative that they are putting forth.
McIntyre goes through multiple of the data series that contribute to the “shaft” of the new stick. Most just appear to be random fluctuations up and down. But then there are the few key series that show the sharp 20th-century uptick needed to support the Hockey Stick narrative. One such series is the McKenzie Delta tree ring series from Porter, et al., of 2013. McIntyre goes back to that Porter article and quotes the passage that describes how the researchers chose those trees that would contribute to the series::

Got that? It’s a “divergence-free chronology.” You can get that by simply excluding any data that don’t conform to the result that you want. And you don’t even have to exclude whole trees from the series, but only those portions from a particular tree that just don’t seem to be going along.
McIntyre comments:
They took “hide the decline” to extremes that had never been contemplated by prior practitioners of this dark art. Rather than hiding the decline in the final product, they did so for individual trees: as explained in the underlying article, they excluded the “divergent portions” of individual trees that had temerity to have decreasing growth in recent years. Even Briffa would never have contemplated such woke radical measures.
“Got that? It’s a “divergence-free chronology.” You can get that by simply excluding any data that don’t conform to the result that you want.”
Is that the new name of “cherry picking”?
Or is it a “science-based” method of cherry picking?
The Lying Liars of the infamous IPCC are the Taliban of science and truth. Despite all their pretentions, we know who and what they are. Their Hockey Stick graph is stark proof of that.
I found the following by chance recently, the links may (?) prove useful to others.
Start at the main AR6 (WG1) “Download” site.
[ URL 1 : https://www.ipcc.ch/report/ar6/wg1/ ]
Near the bottom of the page is a “Data Access” section, with a link to the CEDA website.
[ URL 2 : https://catalogue.ceda.ac.uk/uuid/ae4f1eb6fce24adcb92ddca1a7838a5c ]
Open up the “Datasets (9)” section, and find the “Figure SPM.1” sub-section (they are not in numerical order !).
Clicking on the relevant (dark blue) “Download” link sends you to a “FTP access redone as a HTTP webpage” site.
[ URL 3 : https://data.ceda.ac.uk/badc/ar6_wg1/data/spm/spm_01/v20210809 ]
Within the “Readme_for_figure_SPM1.txt” file on that webpage is :
Note that the “panel_a/SPM1_1-2000.csv” file on that “FTP-like” website actually contains PAGES2k (annual global means) “year,temp,5%,95%” data from 5 (AD) to 1995, not “1-2000 CE” (which I’m guessing is from being “decadal smoothed”).
I made a similar mistake once while trying to clean up an audio series. I put a too tight filter on it, but then started wondering if I was artificially creating the signal I was looking for. So I put the same filter on a white noise signal, and sure enough, I was still able to find my desired signal.
My point? Basically, if you remove anything that you don’t want, you will always find what you do want. Even if your source is just noise. Using their method, you could have shown that the temperature was declining just as easy as they showed it increasing.
Major challenge:
The sun and not human emissions of carbon dioxide (CO2) may be the main cause of warmer temperatures in recent decades, according to a new study with findings that sharply contradict the conclusions of the United Nations (UN) Intergovernmental Panel on Climate Change (IPCC). The new study, a paper by 23 experts in the fields of solar physics and of climate science from 14 different countries is published in the peer-reviewed journal Research in Astronomy and Astrophysics (RAA).
That’s not a “paper”.
It is an opinion piece.
It is a paper and peer reviewed ,why do you feel the need to lie troll
“The paper by 23 experts in the fields of solar physics and of climate science from 14 different
countries is published in the peer-reviewed journal Research in Astronomy and Astrophysics
(RAA). The paper, which is the most comprehensive to date, carries out an analysis of the 16 most
prominent published solar output datasets, including those used by the IPCC. “
Of Hockey Sticks , Hominids ,Hot Air ,and the Hubris of the Homunculus with Hemorrhaging Hemorrhoids
I don’t understand this at all: If the proxy data does not match the recorded temperature data for part of the dataset, then the entire set is useless because there is no way to know what actually impacts it. Why would anyone (anyone honest, that is) use it at all?