This Summera s Heat Wave Is a Great E...

This Summera s Heat Wave Is a Great Example of the Difference Between Weather and Climate

There are 1 comment on the Mother Jones story from Jul 28, 2018, titled This Summera s Heat Wave Is a Great Example of the Difference Between Weather and Climate. In it, Mother Jones reports that:

We are currently in the middle of a scorching hot summer with heat records being set around the world . On July 5, it reached 124 degrees Fahrenheit in Algeria : an all-time record both for the country and the entire African continent.

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I Heart Statistics

Minneapolis, MN

#1 Jul 30, 2018
"Can We Blame the Summer Heat Wave on Global Warming?"

"†Global warming isnít some far-off hypothetical; Itís happening right here, right now, and we can see it in our thermometers."

[Hummm, so can "we" really see "Global" warming in thermometers?
-The short and obvious answer is _no.]

'Real experts' and many casual observers understand
"Global warming" (GW) describes a conclusion derived from highly complex calculations requiring multiple evolving state of the art computer programs.

Thousands, if not millions of variables (which thermometers are but a small part) make up the final value experts refer to as a 'global average temperature anomaly'.

...yet some reporters wish to convince their readership that we can see GW "in our thermometers".

The two closing sentences transforms the author's collection of words from a faint vestige of journalism into bold faced propaganda:

First the author's personal prophecy presented as an absolute truth:

-"If allowed to go on unchecked, it WILL (emphasis added) eventually have real, dire, consequences for people and for the environment."

And finally, the author's hubris in presenting his unsupported assumption that implies Mankind can control the climate:

-"To stop it [GW], our resolve canít be as fickle as the weather itself."

To suggest GW is happening based on parsing temperature data by tenths and even hundredths of a degree over a period of 150 years lacks statistical support. A mere 1800 months of adjusted data sets are not statistically significant enough to affect an 8000 YEAR long non-linear cooling trend.

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