Cap and Trade Takes a Big Hit in Australia

by Myron Ebell on November 30, 2009

in Blog

Breaking news: At a meeting of the Liberal Party’s Members of Parliament today, Malcolm Turnbull was turned out as Leader and replaced by Tony Abbott on a 42 to 41 vote.  Abbott then immediately called for a vote of his colleagues on the Labour Government’s cap-and-trade bill to ration energy and raise energy prices.  The vote was 54 to 29 against.

A number of Liberal Members have risked their careers to stop cap-and-trade, including Cory Bernardi and Nick Minchin as well as Tony Abbott.  They should all be honored for their courageous stand.

Toppling Turnbull was a necessary step, but it isn’t the end of the story.   It is likely that the Senate will now defeat the cap-and-trade bill for the second time.  However, a few disgruntled Turnbullite Liberal Senators could provide the votes needed to pass it.  If it is defeated, Prime Minister Kevin Rudd could then call a general election of both the House and Senate.  So the fight is still to be won or lost.

robertg222 December 2, 2009 at 10:46 am

Here’s some of the code released by climategate. The programmer has written in helpful notes that us non-programmers can understand, like this one: “Apply a very artificial correction for decline”. You get the feeling this climate programmer didn’t like pushing the data around so blatantly. Note the technical comment: “fudge factor”.

; Apply a VERY ARTIFICAL correction for decline!!

;

yrloc=[1400,findgen(19)*5.+1904]

valadj=[0.,0.,0.,0.,0.,-0.1,-0.25,-0.3,0.,- 0.1,0.3,0.8,1.2,1.7,2.5,2.6,2.6,$

2.6,2.6,2.6]*0.75 ; fudge factor

if n_elements(yrloc) ne n_elements(valadj) then message,’Oooops!’

The numbers in a row, in the [ ] brackets, are the numbers the data are to be altered by. If there were no adjustments, they’d all be zero. It’s obvious there is no attempt to treat all the data equally, or use a rigorous method to make adjustments. What could their reasons be besides "hide the decline"?

East Anglia Data Adjustments

In 1900-1920: “All thermometers working accurately”.

In 1930: “Stock market crash and global depression causes artificial inflation in temperatures. Corrected, using inverted Dow Jones index until 1940?.

1940: “Due to WWII, briefly, thermometers work again”.

1945: “Artificial rise due to Nagasaki/Hiroshima nuclear summer effect. Compensated.”

1950 – 2000: “Quality control at thermometer factories must be going to pieces. Thermometers are just reading too low, and it kept getting worse until 1970. Instead of demanding the factories get it right, simply adjust the data. Still not enough. Quality control puts air-conditioning exhaust vents close to thermometers in the field, to further counteract apparent factory problem.”

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