News Round-Up
11 May 2024
by Toby Young
Does Anybody Read Books Anymore?
10 May 2024
by Joanna Gray
Climate Fear Plummets Among Americans
10 May 2024
As reported positive cases plummet following 'Freedom Day', the damage limitation among the doomsters begins. But they can't conceal the fact that their models have failed.
Dr Mike Tildesly, a SAGE modeller, has confessed to UnHerd's Freddie Sayers that he and his fellow court astrologers were too pessimistic about the impact of unlocking on June 21st and we should unlock in full on July 19th
There was a good letter in the Telegraph today co-signed by Lockdown Sceptics contributor David Campbell and his colleague Kevin Dowd blaming Imperial College's alarmist modelling last March for the pickle we're in.
The models from SAGE and others all forecast a huge summer surge as we reopen, but the predictions are already wrong. With the peak expected in the next month, we'll soon know how wrong they are.
During the pandemic, governments have relied heavily on epidemiological models. These models were often based on untenable assumptions. A new paper argues that we should have relied more on historical comparisons.
A summer wave, a winter wave, the threat of new restrictions – Chris Whitty and Neil Ferguson were not holding back yesterday. But for all the doom and gloom, the signs are the summer ripple is already peaking.
Lockdown Sceptics' in-house doctor says Chris Whitty's slide show at yesterday's Downing St briefing was a blatant exercise in biased data selection.
The modellers of doom are at it again, with Neil Ferguson predicting a big summer wave based on the Indian variant being 60% more infectious. But if that is so, why is it not taking over everywhere?
NHS leaders say that scientific modelling seen by the Government has been crude and unreliable through much of the pandemic, warning against this providing the basis for lockdown being extended past June 21st.
We're republishing a letter in the Telegraph pointing out SAGE modellers need to accept some blame for the care home fiasco since they predicted hospitals would be overwhelmed if elderly patients weren't discharged.
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