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Showing posts with the label misinformation

Lucy Biggers' Speed Round on Climate

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Lucy Biggers appears to be the next up-and-coming influencer in the climate space. She presents herself as a former a climate activist suffered from extreme anxiety over climate, and so she advocated for policies and viewed other activists like Greta Thunberg as her hero. However, she says she was uninformed about the scientific evidence supporting her "doomer" anxiety. Then she read a couple books by Shellenberger and Koonin that caused her to stop being a climate activist, and now she is employed by the Free Press to share her newly found liberation from doomerism with the world. In reality she never stopped being a climate activist; she just changed her politics. Her appeal to her viewers appears to be that she (unlike many of her thought leaders) usually doesn't pretend to be an expert in science or policy. Instead, her approach appears to be that since she converted from doomerism to contrarianism, she has cured herself of her anxiety .[5] She was once filled with cl...

Tony Heller's Dishonest Graphs

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In the past I've shared how Tony Heller lies about bias correction procedures applied to CONUS temperatures and as well as by using simple averages of station data with no gridding, meaning that he fails to accounting for station moves and closures. I've also been shown these graphs from him below (located on his blog here ) that he uses to support both of these lies. This graph is intended to show that scientists are conspiring to fabricate global warming through bias correction. In his words, "the data is being tampered with precisely to match the increase in atmospheric CO2." To make his case, Heller shows difference of USHCN final - USHCN raw "temperatures" (it's actually not temperature; see below) plotted with CO2 concentrations. Since the plot shows a roughly linear increase with CO2 concentration, Heller suggests this is evidence that scientists are just engaging in criminal fraud by manipulating USHCN final temperatures to fabricate a warming tr...

The Oregon Petition

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Opinion polls appear to be all the rage among contrarians. These polls appear to be attempts to undermine the fact that over 99% of the recent scientific literature agrees with AGW, and 100% of scientific agencies globally that have taken a stance on AGW agree with AGW. In fact, as best as I can count, only about a half dozen credentialed climate scientists still working in the field globally disagree with AGW (11 if you count living, inactive scientists). Since the evidence is overwhelming in favor of AGW and the consensus on AGW is so strong, political activists need to resort to opinion polls to generate the perception that there are a significant number of scientists that disagree with AGW. And of course to get large numbers of signatories, you have to make the requirements to sign very low. This I believe explains the existence of the so-called Oregon Petition and the Petition Project . Qualifications of Signatories to the Petition The Oregon Petition was begun in the wake of t...

Outliers are Poor Indicators of Climate

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Chris Martz decided to make a point about extreme temperatures by posting a map with the hottest August temperatures ever recorded in each state of the US. Martz asks : Did you know that 33 U.S. states set their “all-time” August high temperature records before 1955?  Of those, eight Midwestern states set their August records in 1936 alone while seven set theirs in 1918. Here's the map he shared. Chris Martz's Map on X This I suppose would be interesting if we were considering when outliers appear to clump up. There's probably something meaningful in the fact that 8 states had their warmest August record temperature in 1936 and 7 had their warmest August record in 1918. We all know about the Dust Bowl, during which human activity was responsible for causing extremely high daily maximum temperatures (Tmax) during the summer months, especially in the Midwest. GHG-induced warming causes Tmax to increase but it causes Tmin to warm even more rapidly. Human activity made the Dust...

Tony Heller On US Temperatures

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Tony Heller made the following mashup of two graphs intended to show that NASA lies about CONUS temperatures as part of a criminal conspiracy to fabricate global warming. It will be very easy to show that Tony Heller is the one lying.  It took about 5 minutes for me to document why the bottom graph is an improvement over the top graph, and there's nothing "inexplicable" about it. The information needed to explain the changes comes a  page on NASA's website that documents the developments and improvements to the GHCN station dataset over time. NASA isn't hiding anything. A subset of this network was used to form the USHCN dataset that was used by NASA and NOAA until 2014.  Here are some relevant updates introduced since the top 1999 graph: In 1999, USHCN was expanded from 138 to 1062 stations.[1] And NASA's methodology improved to account for station moves and to correct for unrealistic outliers. Areas with missing data were filled in, meaning that the area-we...

What about Those 50 Failed Climate Predictions?

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Did you know that there have been 50 failed doomsday predictions since the 1960s? Yea, neither did I, but that's what an opinion piece at AEI from 2019 claims. The article compiles its list from several sources, including 27 from Tony Heller. A Breitbart article upped that to 41. Then Perry added 9 more from Heller to get it up to 50. When his list had 41 predictions, Perry wrote, "For more than 50 years Climate Alarmists in the scientific community and environmental movement have not gotten even one prediction correct, but they do have a perfect record of getting 41 predictions wrong. In other words, on at least 41 occasions, these so-called experts have predicted some terrible environmental catastrophe was imminent... and it never happened. And not once — not even once!" The logic of this is bafflingly stupid, even if we accept his opinions on these predictions at face value. If there are 41 (updated to 50) failed predictions on this list, that doesn't indicate a ...