Science Under Attack--Why Both Coronavirus and Climate Models Get It Wrong

Science Under Attack

"If it [a scientific hypothesis] disagrees with experiment, it’s WRONG." – Nobel Prize winner Richard Feynman

"Why Both Coronavirus and Climate Models Get It Wrong
Most coronavirus epidemiological models have been an utter failure in providing advance information on the spread and containment of the insidious virus.
Computer climate models are no better, with a dismal track record in predicting the future.
This post compares the similarities and differences of the two types of model.
But similarities and differences aside, the models are still just that – models. 
Although I remarked in an earlier post that epidemiological models are much simpler than climate models, this doesn’t mean they’re any more accurate. 
...But the major weakness of both types of model is that numerous assumptions must be made to incorporate the many variables that are not known. 
...Approximations in the models take the form of adjustable numerical parameters, often derisively termed “fudge factors” by scientists and engineers. 
The famous mathematician John von Neumann once said, “With four [adjustable] parameters I can fit an elephant, and with five I can make him wiggle his trunk.”...
Read all.