Imperial College model Britain used to justify lockdown a 'buggy mess', 'total unreliable', experts claim

If we attempt two completely identical runs, only varying in that the second should use the network file produced by the first, the results are quite different,” the Edinburgh researchers wrote on the Github file.A fix was provided, but it was the first of many bugs found within the program.“Models must be capable of passing the basic scientific test of producing the same results given the same initial set of parameters…otherwise, there is simply no way of knowing whether they will be reliable,” said Michael Bonsall, Professor of Mathematical Biology at Oxford University.CORONAVIRUS LOCKDOWN: HERE IS HOW EUROPEAN COUNTRIES ARE EASING RESTRICTIONSA spokesperson for the Imperial College COVID19 Response Team said: “The U.K. Government has never relied on a single disease model to inform decision-making. As has been repeatedly stated, decision-making around lockdown was based on a consensus view of the scientific evidence, including several modelling studies by different academic groups.”“Epidemiology is not a branch of computer science and the conclusions around lockdown rely not on any mathematical model but on the scientific consensus that COVID-19 is a highly transmissible virus with an infection fatality ratio exceeding 0.5pc in the UK.”As of Saturday, the United Kingdom has confirmed 241,455 cases of coronavirus, behind only the U.S. and Russia; and 34,546 deaths, behind the U.S.CLICK HERE FOR THE FOX NEWS APPFerguson himself resigned from his advisory role earlier this month after reports emerged that he defied his own lockdown advice by letting his married lover visit him on two occasions.Get all the stories you need-to-know from the most powerful name in news delivered first thing every morning to your inboxSubscribedYou've successfully subscribed to this newsletter!This material may not be published, broadcast, rewritten, or redistributed.