50 Years of Failed Climate Predictions

by | Apr 3, 2020 | Opinion, Special Alerts

50 Years of Failed Climate Predictions
Joseph D’Aleo, CCM

This article is one of a series that counters the Green Agenda by presenting facts about the climate.
Government agencies, energy companies, auto and major corporations are increasing their support of de-carbonization programs and policies (including taxes, mandated reduction of the use of fossil fuels and promoting not ready for prime time alternatives).
This has proved to be a disaster where this unwise radical agenda has been imposed.
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This isn’t the first time we were told we faced an existential threat due to “climate change”.
In 1970, Stanford’s Paul Ehrlich warned that because of population growth, climate stress (then cold) and dwindling energy that between 1980 and 1989, some 4 billion people, including 65 million Americans, would perish in the “Great Die-Off” which was too late to stop.
Even as each subsequent dire forecast failed, the alarms continued, each pushing the date forward – 2000, 2020, and now 2030. Last summer, at Glacier National Park signs “Warning: glaciers will be gone by 2020” were quietly removed as ice and snow has increased.
See how the alarmist/media record is perfectly (100%) wrong in the 50 major claims made since 1950 here)

The greenhouse climate models used to predict the future have all failed miserably.
IMG_1870

That is because they used failed assumptions and models tuned to manipulated (fraudulent) data.
See detailed peer reviewed studies on this here.

“If you don’t know where you are going, you might end up somewhere else.” Yogi Berra.

Why let a group that’s been consistently wrong for 50 years direct a radical restructuring of society?

Posted by GST Board member Joseph D’Aleo

GST Board member Joseph D’Aleo has previously commented for GST on the climate change agenda.
D’Aleo has researched multivariate statistical modeling for long range forecasting, the impact of sun and ocean cycles on seasonal climate and changing regimes in climate and extreme weather.

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