SI
SI
discoversearch

We've detected that you're using an ad content blocking browser plug-in or feature. Ads provide a critical source of revenue to the continued operation of Silicon Investor.  We ask that you disable ad blocking while on Silicon Investor in the best interests of our community.  If you are not using an ad blocker but are still receiving this message, make sure your browser's tracking protection is set to the 'standard' level.
Politics : Politics of Energy -- Ignore unavailable to you. Want to Upgrade?


To: RetiredNow who wrote (15348)12/16/2009 7:07:38 AM
From: Brumar891 Recommendation  Read Replies (1) | Respond to of 86355
 
There have been revelations recently that data has been manipulated in:

New Zealand
Darwin, Australia
Alaska
California

I've posted on these examples here. Furthermore, we know roughly 80% of the warming measured has come from adjustments to raw data:


Hiding the facts in plain sight

OK, this is lovely. Remember Phil Jones of the CRU saying they had retained only “homogenized, value-added” data rather than raw measurements? It seems that well before the CRU leak there was strong circumstantial evidence that much (perhaps all) of the supposed global-warming signal is accounted for by “adjustments” made to the data.

Get a load of this graphic:

This is the NOAA (National Oceanic and Atmospheric Administration) telling us itself what the “adjustments” do to the U.S historical temperature record. If you look over at the scale on the left, you’ll see that these “adjustments” explain about 80% of the supposed global-warming signal between 1900 and 2000.

Gee, does that shape look…familiar? Why, yes. Yes it does. The Climate Skeptic post I lifted this from reproduces my plot of the “VERY ARTIFICAL correction for decline!!”. It’s possible to make too much of the similarity, I think; the “decline” that VERY ARTIFICAL was “correcting” for was in tree-ring proxies for temperature, not measured ground temperature.

Still…isn’t it curious that every time we dig into the supposedly “value added, homogenized” data, we find a similar pattern of “adjustments” in that oh-so-familiar hockey-stick shape?

Why, it’s almost as if the people doing the “adjusting” imposed their preconceptions on the data, fixing it to conform to pet theories that just happen to be lucrative funding sources as well. But, no, that could never happen, could it?

esr.ibiblio.org

Message 26178335