Scientocracy Busts Open the Motivation behind Global Warming Politics


By: - Climate DepotOctober 29, 2019 7:19 PM

https://www.americanthinker.com/articles/2019/10/emscientocracyem_busts_open_the_motivation_behind_global_warming_politics.html

The title of this new book is a play on aristocracy. The science aristocracy is living off its former reputation as honest investigators of the natural world. But now they are largely mean-spirited bureaucrats who don’t hesitate to fake science when it serves their bureaucratic and financial goals. The public, politicians, and the media are mostly scientific ignoramuses easily fooled into believing that fake science is rock-solid science. There is an alliance driven by the money-greed of the science mandarins and the socialist dreams of the political Left. It is not an accident that the many ecological catastrophes predicted by rogue science get political support from the Left.

The book consists of 11 essays by prominent whistleblowers that have waged mostly losing battles with the scientocracy. The editors are Patrick Michaels, a distinguished skeptical climate scientist, and Terence Kealey, a biochemist and former university administrator in Great Britain.
The science establishment has been corrupted by money, specifically federal research grants. A wise President Eisenhower warned about the corrupting effect of money on science in this 1961 farewell address. Money is now more important than science. A big bite of every research grant goes to the university as “overhead.” So the university bureaucracy is intensely focused on bringing in more research grants. For the researcher, money means promotion, status, and the means to engage in expensive research projects.
In order to keep the money flowing, the research has to achieve positive and important results. Sometimes, the original hypothesis that is tested turns out to have been wrong. That a hypothesis is wrong is theoretically a scientific contribution, but not one that is likely to impress the funding committees. One answer is to search the data for a new hypothesis — a statistically flawed procedure, since, if one searches for enough different hypotheses, one is likely to find something “proven” by the data, even if the data consist of random numbers. Outright fakery is not usually necessary since there are many ways to process and adjust data to make them better. The researcher may believe that his adjustments are shown to be necessary because he believes that his hypothesis is correct, so there must be something wrong with the data.

Read more: https://www.americanthinker.com/articles/2019/10/emscientocracyem_busts_open_the_motivation_behind_global_warming_politics.html#ixzz63mvGrhTs
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