Quote of the Week: “The only thing more dangerous than ignorance is arrogance.” — Albert Einstein

Number of the Week: 1,153 acres for preservation vs. nearly 1,900,000 acres

By Ken Haapala, President, Science and Environmental Policy Project (SEPP)

Scope: This TWTW discusses Howard Hayden’s questioning of an interview of Al Gore discussing his twenty-year-old film. Then, TWTW discusses a new report by the National Academies of Sciences, Engineering, and Medicine (NASEM) on attributing extreme weather events to human-caused global warming. TWTW concludes with a proposal to change the procedures for approving the electricity needed by data centers.

A Puff Piece: ABC News celebrated the 20th anniversary of Al Gore’s move, “An Inconvenient Truth”, with a fawning interview of Mr. Gore titled “Scientists were dead right.” No tough questions such as why did you get causation backwards? According to the Antarctic ice cores which were used in Gore’s film, temperatures rose first followed by CO2 increases (from warming oceans) by an average of some 800 years. Thus, CO2 increases cannot cause these temperature rises, but the temperature rises can cause CO2 increases. (The oceans store 50 to 60 times as much CO2 as the atmosphere and cold water stores more CO2 than warm water.)

In his publication, The Energy Advocate, AMO physicist Howard Hayden addressed some of the problems with the interview. He wrote:

“ABCNews interviewed Al Gore on the 20th anniversary of his 2006 Inconvenient Truth Movie. The article begins [1]:

The scientists have been right about climate change all along, says former Vice President Al Gore on the 20th anniversary of the release of “An Inconvenient Truth,” the Oscar-winning documentary about Gore’s campaign to educate people about climate change.

When asked by ABC News chief meteorologist and chief climate correspondent Ginger Zee whether the film and its predictions on global warming hold up, Gore responded, “Unfortunately, yes.”

As noted before, the IPCC’s predictions were all over the map. When you predict everything, you predict nothing. Pick a date. Pick a temperature. They predicted it!

I wish I knew how to give credit for the graph below!