https://quadrant.org.au/magazine/2020/06/covid-19-and-the-problem-with-official-science/
All models are wrong but some are useful, which cannot be said of the casualties projected for a disease that has proven about as lethal as a seasonal flu. Recall that 1969’s Hong Kong flu killed an estimated one million worldwide but did not stop the Woodstock festival. Yet driven by fear and folly we have trashed an entire economy.
No lesson seems to be so deeply inculcated by the experience of life as that you never should trust experts. If you believe the doctors, nothing is wholesome: if you believe the theologians, nothing is innocent: if you believe the soldiers, nothing is safe. They all require to have their strong wine diluted by a very large admixture of insipid common sense. —Lord Salisbury, 1877
The desideratum in modern governance is evidence-based policy. It is not always achieved or, as we have seen with the coronavirus panic, possible. It is far preferable, however, to policy-based evidence, which was to be found with the rushed production of new evidence that had not met the US National Oceanographic and Atmospheric Administration quality assurance processes in a desire to influence Donald Trump’s deliberations over whether to withdraw the US from the Paris Agreement (as I describe in my forthcoming essay in Climate Change: The Facts 2020).
In climate science the problem appears irrevocable. Scholars like Roger Pielke Jr in his book The Honest Broker have pointed out that there is no linear relationship between science and public policy: scientific findings rarely lead to single policy conclusions. Despite this, the epistemic community in climate science seems to think that even more scary model-driven scenarios will lead policy-makers to do “the right thing”.