Climate Change and a Pandemic of Lies

THE health establishment was looking away when the coronavirus struck; it had other priorities. If you look at the World Health Organisation’s list of health threats, number one is climate change. Pandemics were down in third place, behind ‘non-communicable diseases’ such as diabetes and obesity.

Wherever you look, you will find some of the biggest names in the public health establishment declaiming on the risks of climate change to world health. On the eve of the outbreak, the Royal Society of Tropical Medicine and Hygiene declared that we would be seeing ‘mass migration, emerging infectious diseases such as dengue and a shortage of food’. As the first people fell ill in Wuhan, the WHO announced that in ten years we would be seeing 250,000 additional deaths per year from malnutrition, malaria, diarrhoea and heat stress as a result of global warming. Epidemiologist Professor Andy Haines told readers of the Telegraph that ‘climate change is a threat to global and national security that is costing lives and livelihoods right now’. 

Resolution and Hockey Sticks, Part 1

By David Middleton – Re-Blogged From WUWT

Resolution vs. Detection

Geoscientists in the oil & gas industry spend much of our time integrating data sets of vastly different resolutions.  Geological data, primarily well logs, are very high resolution (6 inches to 2 feet vertical resolution).  Geophysical data, primarily reflection seismic surveys, are of much lower and highly variable resolution, dependent on the seismic velocities of the rocks and the frequency content of the seismic data.  The rule of thumb is that a stratigraphic unit must be at least as thick as one-quarter of the seismic wavelength (λ/4) to be resolved.

Figure 1a. Seismic wavelength vs velocity for 10, 25, 50 and 100 Hz dominant frequencies. (SEG Wiki)

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Our Urban “Climate Crisis”

By Jim Steele, From Pacifica Tribune Re-Blogged From WUWT

What’s Natural

Our Urban “Climate Crisis”


Based on a globally averaged statistic, some scientists and several politicians claim we are facing a climate crisis. Although it’s wise to think globally, organisms are never affected by global averages. Never! Organisms only respond to local conditions. Always! Given that weather stations around the globe only record local conditions, it is important to understand over one third of the earth’s weather stations report a cooling trend (i.e. Fig 4 below ) Cooling trends have various local and regional causes, but clearly, areas with cooling trends are not facing a “warming climate crisis”. Unfortunately, by averaging cooling and warming trends, the local factors affecting varied trends have been obscured.

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Modern Warming – Climate Variability or Climate Change?

By Renee Hannon – Re-Blogged From


In the mid-1900’s many scientists were suggesting the Earth was cooling. Now scientists are forecasting global warming. Indeed, instrumental data shows global temperatures warmed by approximately 1-degree C during the past 165+ years. With warming rates of 0.5 to over 1.3 degrees C per century this has caused considerable alarm for many. This recent warming is commonly attributed to increasing greenhouse gases, primarily CO2.

This post examines natural paleoclimate trends and simple characteristics of past and present climate cycles at different time scales. Data suggests distinct differences between short-term climate variability and longer-term climate change. This is important because short-term climate variability can be misinterpreted as underlying climate change resulting in poor science and potentially worse policy decisions. This post compares modern instrumental trends to paleoclimate trends. This comparison reveals modern warming has characteristics of natural short-term climate variability and not long-term climate change.

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Climate Model Projections Significantly Diverge

By Renee Hannon – Re-Blogged From


Over the past million years, our Earth displays a rhythmic beat when exiting full glacial cycles and entering interglacial warm periods. The characteristics and duration of these systematic warm periods provide an excellent dataset to help prognoses of future climate patterns. Astronomical Milankovitch cycles play a major role and trigger internal Earth processes that control the rapid onset and gradual cooling of interglacial warm periods. This post examines the duration of these interglacial warm periods as a key analog dataset compared to several published statistical and complex climate model projections. Results indicate climate models where the initiation of glaciation depends strongly on CO2 concentrations over astronomical controls significantly overpredict the duration of the present-day warm period compared to past interglacial analogs.

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