Virus modellers must admit their mistakes and learn from the practice of transparency

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 [...]