Dr Vincent Gray On The Cause Of Global Warming

The following came via e-mail on the 14th of January from by Dr Vincent Gray.  Dr Gray, a Wellingtonian, with the NZ Climate Science Coalition, who featured in Dr Michael Coffman’s documentary Global Warming or Global Governance?,  has worked as a reviewer with the IPCC since its inception. According to Dr Gray none of the evidence presented by IPCC confirms a relationship between emissions of greenhouse gases and any harmful effect on the climate.


This was the title of a lecture I delivered to the Wellington Branch of the Royal Society of New Zealand on 22nd November 2000.

The lecture can be found at: http://www.john-daly.com/cause/cause.htm

It was subsequently published as: Gray, V R.The Cause of Global Warming Energy & Environment 11 (6),  613-629 2001.

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Hammering Wind Industry Myths: the ‘In-a-Nutshell’ Version


Facts What brings the great wind power fraud to its inevitable end.


Here’s a sold little wrap-up on the great wind power fraud from Mary Kay Barton – it’s so clear and thumpingly sound for STT to add, would only detract. Hats off, Mary. Over to you.

Wind energy myths spun by lobbyists and salesmen
Principia Scientific
Mary Kay Barton
13 May 2015

Industrial wind energy is a net loser: economically, environmentally, technologically and civilly.

A recent letter in my local paper by American Wind Energy Association (AWEA) representative Tom Vinson is typical of wind industry sales propaganda. It deserves correction.

This is the reality:  Industrial wind energy is a NET LOSER – economically, environmentally, technically and civilly. Let’s examine how.


New York State (NYS) has some of the highest electricity rates in the United States – a whopping 53% above the national average. This is due in large…

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Errors in Estimating Temperatures Using the Average of Tmax and Tmin—Analysis of the USCRN Temperature Stations

Watts Up With That?

Guest post by Lance Wallace


The traditional estimate of temperature at measuring stations has been to average the highest (Tmax) and lowest (Tmin) daily measurements. This leads to error in estimating the true mean temperature. What is the magnitude of this error and how does it depend on geographic and climatic variables? The US Climate Reference Network (USCRN) of temperature measuring stations is employed to estimate the error for each station in the network. The 10th-90th percentile range of the errors extends from -0.5 to +0.5 C. Latitude and relative humidity (RH) are found to exert the largest influences on the error, explaining about 28% of the variance. A majority of stations have a consistent under- or over-estimate during all four seasons. The station behavior is also consistent across the years.


Historically, temperature measurements used to estimate climate change have depended on thermometers that record…

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