To lockdown sceptics’ great chagrin, recent polls have found that the majority of Brits are still very much pro-lockdown. In a YouGov poll taken in early March, only 19% of respondents said the government’s handling of pandemic was “too strict”, and a remarkable 37% said it was “not strict enough”.
Likewise, when UnHerd asked Brits whether “in retrospect, lockdown was a mistake”, they found there wasn’t a single constituency in the country where a majority agreed. Overall agreement was 27% – which is barely more encouraging than YouGov’s finding.
Now, you can always quibble with polls – the figures might be off by five or ten percentage points. But this clearly isn’t enough to turn 27% into a majority. So what explains Brits’ continued support for a policy that imposed such huge costs while conferring such small benefits (if any)?
Are many of us suffering from Stockholm syndrome? (although it should really be called ‘Wuhan syndrome’). Here are the factors I think are involved.
First: as veteran-lockdown sceptic Lord Hannan has noted with regret, “many of my countrymen couldn’t give two hoots about liberty”. Like the citizens of most Western countries, Brits have long favoured higher taxes and nationalisation of industry. So their support for lockdown isn’t exactly a major anomaly that needs to be explained.
Second: as I noted in my reply to Lord Hannan, Brits massively overestimated the risks of Covid, particularly the risks to the young. This owes partly to general biases in the estimation of small quantities. But it also stems from the intentional use of fear tactics whose very aim was to increase compliance with lockdown.
Third: the theoretical case for ‘flattening the curve’ was strong. If infections rise too high, hospitals will become overwhelmed, leading to huge numbers of deaths; a temporary lockdown can prevent this from happening. The argument is flawed, of course – not least because it ignores the ‘costs’ side of the equation. But it seems quite compelling.
Fourth: case numbers did start falling around the time of each lockdown in 2020. Yet as the statistician Simon Wood has shown, infections were already in decline before the lockdown was called – in all three cases. This can be seen in the chart below, which shows the timing of lockdowns in relation to five reconstructions of infection numbers.