Coronavirus exposes the problems and pitfalls of modelling
by Ian Sample Science editor from on (#517YF)
Models based on assumptions in the absence of data can be over-speculative and 'open to gross over-interpretation'
The lessons to be learned from the coronavirus pandemic will keep scholars and university lecturers busy for decades to come.
Chief among them is the value of modelling, and the fact that an uncritical reliance on their findings can lead you badly astray.
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