Climate scientists say 2008 will be coolest year of the decade | Environment | guardian.co.uk
2008 will be coolest year of the decade
Global average for 2008 should come in close to 14.3C, but cooler temperature is not evidence that global warming is slowing, say climate scientists

Should I wonder why this graph measures “Temperature relative to the 1961-1990 average?”


No. Nothing to see here. Move along. Now.
You’re trying to make something out of the date range that it’s not, Bill.
The Messiah was born in 61. It’s critical to understand that anything that happened before that is irrelevant. He shall cool the world with a smile (and a metric buttload of new taxes, but don’t worry about that).
It would be nice if they’d show error bars, or where the transitions from proxy data to real temperature measurements occurs, or the urban heat island effect, or the density of measuring stations in developed nations, or anything at all that would represent scientific honesty.
Nope, let’s have a big scary right-hand red graph instead.
They also don’t tell you almost all the Russian arctic weather stations went off-line during the little problems they had when the CCCP broke up. Which happened, hmm, around 1990.
This is just the usual graph-warping these folks love: cherry picking starting and ending dates (gosh, it starts right at the Little Ice Age! What luck!), leaving out error bars, using bizarre baselines, etc, but a delightfully blatant example, to be sure.
Toren, from the comment thread in your link:
Gotta love it. These data sets are a mess, and it’s just coincidence that “adjustments” on pre-1945 global temperatures are always downwards, and on post-1980 temperatures are always upward.
If you believe anything coming out of these fraud factories, I’ve got some Al Franken for Senate absentee ballots to sell you.
If you like that, you’ll love this:
Adjusting Pristine Data
The only reason anyone is still taking AGW seriously is because of the money and power involved.
…
Sigh.
Remember the credo of the fraudulent: if the facts do not conform to the theory, they must be altered or disposed of.
I saw this a lot when I worked in the Stat Research Dept of the Great Big Research Company. We were under constant pressure to “adjust” the data to make it fit with the (paying) clients’ expectations. At one such meeting, I sourly suggested that we apply a K-factor to all data — “K” being the multiple by which the data can be made to come out in such a way as to please the client.
One salesman actually took me seriously. I think he probably works in the climate industry now.