Crichton was way ahead of his time back in 2003 and saw all this coming when my little smooth brain was busy re-applying to college.
https://wattsupwiththat.com/2023/06/26/ ... n-lecture/
It does not paint Sagon, who I personally admire, in a very favorable light.
some highlights: (emphasis mine)
I want to pause here and talk about this notion of consensus, and the rise of what has been called consensus science. I regard consensus science as an extremely pernicious development that ought to be stopped cold in its tracks. Historically, the claim of consensus has been the first refuge of scoundrels; it is a way to avoid debate by claiming that the matter is already settled.
snip
In 1993, the EPA announced that second-hand smoke was “responsible for approximately 3,000 lung cancer deaths each year in nonsmoking adults,” and that it “impairs the respiratory health of hundreds of thousands of people.” In a 1994 pamphlet the EPA said that the eleven studies it based its decision on were not by themselves conclusive, and that they collectively assigned second-hand smoke a risk factor of 1.19. (For reference, a risk factor below 3.0 is too small for action by the EPA. or for publication in the New England Journal of Medicine, for example.) Furthermore, since there was no statistical association at the 95% confidence limits, the EPA lowered the limit to 90%. They then classified second-hand smoke as a Group-A Carcinogen.
This was openly fraudulent science, but it formed the basis for bans on smoking in restaurants, offices, and airports. *snip*
As with nuclear winter, bad science is used to promote what most people would consider good policy. I certainly think it is. I don’t want people smoking around me. So who will speak out against banning second-hand smoke? Nobody, and if you do, you’ll be branded a shill of RJ Reynolds. A big tobacco flunky. But the truth is that we now have a social policy supported by the grossest of superstitions. And we’ve given the EPA a bad lesson in how to behave in the future. We’ve told them that cheating is the way to succeed.
snip
No longer are models judged by how well they reproduce data from the real world— increasingly, models provide the data. As if they were themselves a reality. And indeed they are, when we are projecting forward. There can be no observational data about the year 2100. There are only model runs.
This fascination with computer models is something I understand very well. Richard Feynmann called it a disease. I fear he is right. Because only if you spend a lot of time looking at a computer screen can you arrive at the complex point where the global warming debate now stands.
Nobody believes a weather prediction twelve hours ahead. Now we’re asked to believe a prediction that goes out 100 years into the future? And make financial investments based on that prediction? Has everybody lost their minds?
Stepping back, I have to say the arrogance of the model-makers is breathtaking
all of this should sound very familiar re: covid, food pyramid, transvestite issues, and of course global warming crisis and the so called energy transition.