The ten worst Covid data failures

Throughout the pandemic, the government and its scientific advisers have made constant predictions, projections and illustrations regarding the behaviour of Covid-19. Their figures are never revisited as the Covid narrative unfolds, which means we are not given an idea of the error margin. A look back at the figures issued shows that the track record, eventually validated against the facts, is abysmal. This is important because major decisions continue to be taken on the strength of such data. There have been several noteworthy failings so far….

All told, the production, dissemination and use of data in the UK paints a disturbing picture. Over the course of this pandemic, we have observed outright errors, misunderstandings of effects, too much certainty being reported by advisors and interpretation lacking the normal context. So are lockdown decisions being taken on a false premise? Without transparency, how can errors be detected?…


Rather than be cautious in the use of such data, the government’s approach has been publishing worst-case scenarios. These assumptions so far have largely proven to be unreasonable and, all too often, flatly incorrect. However, we have shown that this realisation has had little effect on the approach. This leaves the public – and policymakers – in a hopeless position when it comes to navigating our way out of this mess.

Seriously, these people are not only wrecking the economy and society, they’re being paid by taxpayers to do it.

Is this tolerable?

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