Delay on lifting lockdown based on ‘dodgy assumptions’ – Tory MP Mark Harper

The Forest of Dean MP said the delay in easing restrictions will have ‘real consequences’ for people’s jobs.

Delay on lifting lockdown based on ‘dodgy assumptions’ – Tory MP Mark Harper

The delay on lifting lockdown restrictions in England has been driven by “dodgy” data models, the leader of the Covid Recovery Group of lockdown-sceptic Conservatives has claimed.

Forest of Dean MP Mark Harper accused the Government of understating the effectiveness of the Covid-19 jab and assuming a low uptake of those willing to have it.

He claimed the Government had made “dodgy assumptions” and said the delay in easing the majority of lockdown measures will have “real consequences” for people’s jobs and livelihoods.

It comes as Prime Minister Boris Johnson announced on Monday plans to fully lift lockdown restrictions by June 21.

“We know the uptake of the vaccine is over 90% in the top groups that have been vaccinated, above 95%, they’ve assumed 15% of the population don’t take the vaccine.

“I have two problems with that, one is that it isn’t realistic, that’s not what’s happening.

“But secondly, there is a real question about whether the rest of the country should be held back for two months because some people choose not to take the vaccine.”

Easing the lockdown in England graphic
(PA Graphics)

Meanwhile, two households or groups of up to six people will be able to mix indoors from May 17.

Mr Harper said: “The Government seems to have looked at some models with dodgy assumptions and have effectively delayed opening the country by two months.”

He added: “We have got a delay of two months to all restrictions going, which is going to have some real consequences for real people’s jobs and livelihoods and I think it has been driven by some dodgy modelling.”

Coronavirus – Mon Feb 22, 2021
Prime Minister Boris Johnson (Leon Neal/PA)

He said the Government’s approach would be driven by “data not dates”, with the five-week gap between the lifting of measures in stages allowing time for the impact on infections to be determined and for companies to get ready.

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