https://issuesinsights.com/2020/06/16/covid-19-model-failures-show-why-climate-science-isnt-settled/
The scientific models used to predict the global impact of the COVID-19 crisis have cast into acute doubt the idea of iron-clad, unquestionable scientific modeling itself. Model failure has had potentially catastrophic effects on the world economy. It should have similar effects on claims about the indubitable nature of climate-science models, and of policies ostensibly flowing from them.
One devastating example illustrates the problem with the COVID-19 models. Professor Neil Ferguson of Imperial College London published a report in mid-March based on an infectiousness model that predicted that without total lockdown, half a million Britons and 2.2. million Americans could die of the virus. His report was critical in guiding both Britain and many American states to take extreme lockdown measures, rather than milder and less economically destructive courses.
The model, and the report, turned out to be nonsense. The model was a poorly coded mess that contained vital errors and couldn’t be replicated. Meanwhile, Ferguson so little trusted his own predictions that his mistress continued to travel across London for assignations with him, in violation of rules based on his model and ignoring the risks that he himself had predicted.
All of this illustrates the profound danger of declaring apocalyptic models about natural (or potentially partly natural and partly human-assisted) processes “settled” and certain, and then making drastic policy and business decisions on that basis.
These lessons clearly translate to the climate-policy debate. Proponents of extreme climate action assure us that their models are irreproachable, the science is settled, and their policy path is required. But recent developments have taught us better.