Some More Trouble With Temperatures and Nice Analysis


Although the mass hysteria about “climate change” persists due to a determined and powerful political agenda abetted by the press, governments and the education systems, supported by the ignorance of the masses, there are endless amounts of evidence to counter the validity of all that.
This post is one example.
If they ever admitted to the systematic error, obviously present, they’d end up with nothing to report. The prime evidence base of AGW would vanish. One can understand the reluctance, but it’s incompetent science regardless.

Musings from the Chiefio

Here are some links to very good examples of what is wrong with the temperature data as presented by NCDC, GISS, and Hadley (and others). Anyone who does an average, homogenize, slice and splice, and similar data adjustment.

First off, a very nice article about why slice and splice (as taken to extremes in B.E.S.T.) is a Very Bad Idea. I’ve talked of this as ‘splicing is bad in data series’, but without much other than a nod to my Chem Teachers as to why. This explains it rather well:

http://stephenrasey.com/2012/08/cut-away-the-signal-analyze-the-noise/

I ran into it in comments on this posting at WUWT:

http://wattsupwiththat.com/2015/01/29/best-practices-increase-uncertainty-levels-in-their-climate-data/

Stephen Rasey January 29, 2015 at 12:54 pm

All told, BEST’s uncertainty levels are a complete mess.
The breakpoint process is a complete mess, too.
They have reduced the temperature record to analyzing the noise after throwing away the signal.

There is also a link in there…

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About Ken McMurtrie

Retired Electronics Engineer, most recently installing and maintaining medical X-Ray equipment. A mature age "student" of Life and Nature, an advocate of Truth, Justice and Humanity, promoting awareness of the injustices in the world.
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