And he might just possibly be on the magic mushrooms.
Naughty! you are moving into Brexit rather than medicine. There was however some talk he has a history of respiratory disease.
This does not agree
@dandelion 's figure of 35%. Rather it says 40-60%.
The article says "Most people probably haven’t thought about T cells, or T lymphocytes as they are also known, since school,"
I really dont recall them being mentioned much in school! I dont recall them being mentioned by SAGE or any epidemiologists at the start of this epidemic. They did talk about antibodies, and trying to get national antibody tests to ascertain immunity. This was just as much a surprise to the experts as to everyone else.
Having said that, the article also reports experiments in 2011 with mice using SARS coronvirus - related to covid - which showed t cells were the immune response which cleared the virus. So if people had been paying attention, they ought to have been aware of this already.
I suspect that what happened is people concentrating on what they can measure, rather than what they cannot. It is possible to mass test for antibody, but not t cell. So...people have data about antibodies so they study that and not t cells.
The article also says that while there are related coronaviruses in circulation which are pretty harmless but cause colds, and they were studied a lot decades ago, there has been no interest in studying them in the modern era of such easy lab tests. So our information on this class of virus is somewhat dated.
Commercial antibody tests I have looked into seem designed to give a yes/no answer whether a person has enough antibody to clear a virus infection. They set a certain level of antibody and say if the person had more than that. That process is especially unhelpfull if antibodies are normally only contributing a small part to the total of immunity a person has against covid. A low level of specific antibody could tell us the system has been activated, so there must have been an infection and the person must have had a total immunity for all sources enough to beat it off, but they arent designed to do that.
It seems antibodies are only created in a bad case, so antibody testing is biased towards telling us about numbers of severe cases, as is the reltively easy to measure number of people going to hospital or dying. Antibody is telling us little about the total of people who have had a mild case, who arent being counted by any method.
It seems likely the classic model for predicting epidemics Susceptible -exposed -infected - recovered, is particularly unhelpfull in a situation where most people start off at a certain point on a variable range of immunity which can change their outcome from no effect to death. It needs an analog model, not a digital one, which can included the proportions of people geting no symptoms, mild, severe, and so can predict separately the proportions who wont need medical care and those who will. This is much more important than the total number of cases.
it needs to be able to define which age groups are at risk, allow for basic risk factors, for the deterioration of the immune system with age. But also, that the default position may still be that a healthy human (more likely if you are young) can beat off covid from a standing start.
The bottom line here is that there has been essentially no testing to tell us directly the proportion of people in the Uk who are now safe from covid because of either full or partial t cell immunty (and safe includes people getting a mild case)
It seems very likely the epidemic is essentially over, and while case numbers may go up again, community deaths will not.
General improvements to immunity may not have reached people in care homes, so they continue to need specific protection, although they may also have been mildy exposed and so gained immunity. But there must also be a risk that even amongst those there is disproportionate risk for anyone nearing their end anyway, and there will always me more of these coming along as time passes. (ie, if a very high risk at the start was people within 3 months of death, by now there is a completely new set of such people. This will always be true, and probably applies also to annual flu deaths)