Responding to the challenge of two million unemployed people – and maybe more
There are two groups who are particularly exposed: those who have recently lost their jobs, and younger people.
There are two groups who are particularly exposed: those who have recently lost their jobs, and younger people.
The new Leader of the Opposition looked more at ease than the First Secretary of State, Dominic Raab, standing in for Boris Johnson.
From medical equipment, to herd immunity, to data collection, everything has been reduced and given no nuance.
The Commons agreed to hold virtual sittings, but admitted that these will greatly impair its ability to hold the Government to account.
It appears that there will be no votes until next week. After that, the May Bank Holiday looms. In any event, MPs will be feeling their virtual way.
It may be significant that the one person who doesn’t seem to be making their mistake is Keir Starmer.
The art will be to do so in such a way that the NHS can cope with a rise in admissions. And social distancing for the most vulnerable must remain in place.
Ministers can carry on trying, through the British Business Bank or directly, to push on this Gordian Knot – or slice through it.
Some regions have already started to ease off lockdown measures. Here are their plans so far:
Johnson will seek to keep ahead of public opinion. The art for him is to not to be caught out by a sudden shift in mood.
In order to render the NHS proof against future pandemics, and resolve the social care crisis, he needs to learn from Beveridge.
We don’t expect the shutdown to last in full until summer. But if it did, Britain might well be moving towards Universal Credit as a basic income.
Sending PPE to residences around the country must be done as soon as possible. Calling people “lambs to the slaughter” does not help, though.
The West Germans realised, when they set up their health system, that there had to be an entrenched place for competition between different providers.
The only way of pushing such a narrative is to remove context and nuance from the data.