Climategate

"Carbon (Dioxide) trading is now the fastest growing commodities market on earth.....And here’s the great thing about it. Unlike traditional commodities markets, which will eventually involve delivery to someone in physical form, the carbon (dioxide) market is based on lack of delivery of an invisible substance to no-one. Since the market revolves around creating carbon (dioxide) credits, or finding carbon (dioxide) reduction projects whose benefits can then be sold to those with a surplus of emissions, it is entirely intangible." (Telegraph)

This blog has been tracking the 'Global Warming Scam' for over ten years now. There are a very large number of articles being published in blogs and more in the MSM who are waking up to the fact the public refuse to be conned any more and are objecting to the 'green madness' of governments and the artificially high price of energy. This blog will now be concentrating on the major stories as we move to the pragmatic view of 'not if, but when' and how the situation is managed back to reality. To quote Professor Lindzen, "a lot of people are going to look pretty silly"


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Sunday, 10 November 2013

Storms and global warming

Bishop Hill
"The landfall of supertyphoon Haiyan has led to a predictable upsurge in attempts by unscrupulous environmentalists to turn the drama into a political opportunity. ........Meanwhile, we learn of this 2004 paleoclimate reconstruction of hurricane landfalls in South-eastern China. The conclusions seem to contradict the wild claims of the drama greens more than somewhat: 'Remarkably, the two periods of most frequent typhoon strikes in Guangdong (AD 1660–1680, 1850–1880) coincide with two of the coldest and driest periods in northern and central China during the Little Ice Age.'

1 comment:

  1. If the science is done correctly it appears that it is the sun, or more specifically, the magnetic field from sunspots. The time-integral of sunspot numbers as a proxy (appropriately reduced by thermal radiation from the planet) plus net ocean oscillations calculates average global temperatures since 1895 with 90% accuracy (correlation coefficient = 0.95). Demonstrated at http://danpangburn.blogspot.com/

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