Virus modellers must admit their mistakes and learn from the practice of transparency
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By now, we all know about the poor track record of prediction by the academic modelling teams advising the Scientific Advisory Group for Emergencies – Sage. The unreliable nature of economic projections is also evident, as analysis of the Survey of Professional Forecasters (SPF) database shows. Yet the epidemiologists could still learn from the experience […]