Sunday, 7 February 2021

The lockdown debate - a further reply to Toby Young


 
Toby Young has replied to my reply, so let's have one more go at this. 
 

Christopher Snowdon has now done what he failed to do in his original attack on lockdown sceptics in Quillette: he has engaged with the main plank of the sceptics’ case.

 
As I mentioned yesterday, the original article was never intended to be about the arguments for and against lockdowns. It was about the crackpots some lockdown sceptics have aligned themselves with. But now we have put all the stuff about false positives and casedemics behind us, we can get on with talking about the serious stuff.
 

In his response, Chris starts by making a pretty big concession: he acknowledges that the reduction in human interaction brought about by draconian stay-at-home orders could be achieved by people just deciding voluntarily to change their behaviour.

 
I don't see this as a 'concession'. On the contrary, it's an important part of my argument. It is obvious that people could stay at home without being told to. Toby thinks they would and that lockdowns are therefore superfluous, but if this were the case, you can't claim that lockdowns damage the economy. If you believe that nobody would go to the cinema during a pandemic, why complain about cinemas being closed? Would it not be better for the government to close them by law and compensate the owners and workers? 
 
You can't have it both ways. Either lockdowns have little or no effect on behaviour and therefore do not damage the economy, or they have a significant effect on behaviour - and therefore on infection rates - and damage the economy.

I do think that lockdowns are economically damaging - very much so - but that's because I believe they have a big effect on people's behaviour. I think Toby knows they have a big impact on behaviour too. I think he knows that if you open the cinemas and restaurants, people will go to them and that this will lead to more people being infected. He is right when he say that 'it’s absurd to claim that people would have just carried on as normal in the face of a global pandemic if they hadn’t been ordered to change their behaviour'. The problem is that we don't seem to change our behaviour enough to get the R below 1. 
 
This is partly because some people are downright irresponsible, but it is also because we don't have enough information upon which to act. Some people are wholly misinformed about the threat posed by the virus. The cranks I wrote about in my original Quillette article are partly to blame for that, but so too are public health agencies that have focused on handwashing rather than ventilation; the WHO flatly denied that SARS-CoV-2 was airborne in the early stages of the pandemic. 
 
 
But the real problem is that the nature of the virus makes it very difficult for individuals to assess their risk. The insidious thing about COVID-19 is that the incubation period can last up to two weeks. The government has a nice webpage where you can see how many people have recently tested positive in your postcode, but the figures are always five or six days out of date. You can think that your local area is low risk, but by the time you find out that it's high risk, it's too late. 

You do not need to view the public as 'mouth-breathing troglodytes who will march towards their own destruction' to see that people cannot make an informed decision under these conditions. 
 
Moreover, for a lot of people COVID-19 is not a serious health threat and so we are relying on them to act in an essentially altruistic way. A person might decide that they don't care if they get it, but that is not a purely self-regarding action. We need to stop the spread. When you have 100,000 people being infected every day, as we did at the end of December, and have to get the rates down, you cannot depend on people acting sensibly, responsibly and altruistically. If you could, there wouldn't be 100,000 daily infections in the first place.

When we say that lockdowns are largely ineffective – largely, but not completely – we are not questioning the basic logic of germ theory. Rather, our contention is that the illiberal things governments across the world have done in an attempt to control the virus have not resulted in fewer people dying than if they’d taken a more liberal approach, i.e., one that respected our individual rights and our status as rational beings capable of carrying out our own risk assessments.
 
Judging by the people on my Twitter timeline yesterday, quite a lot of sceptics do seem to question germ theory. They do believe that the infection rate rises and falls of its own accord, unaffected by restrictions on human interaction. That is what I call the hard version of the 'lockdowns don't work' theory. Toby is talking here about the soft version. I addressed that in yesterday's post. To summarise:
 
- Countries which have a lot of COVID deaths are more likely to lock down harder and longer. The high death rates in Britain, Spain, France, etc. do not mean that lockdowns don't work in suppressing the virus, albeit temporarily. 

- Plenty of countries locked down for a relatively short period of time, controlled their borders and have a low COVID death rate (Norway, China, Australia, New Zealand, Finland, etc.)

- Prolonged, sporadic lockdowns without achieving elimination are ineffective in the long term if there is no endgame, but we now have several vaccines. The debate about the current lockdown has to be seen in the context of the vaccination programme and yet Toby doesn't mention vaccines in either of his articles. 

Having asserted that lockdowns do not lead to fewer people dying, Toby asks...
 
Why is that, given that lockdowns do reduce human interaction? As I said in my piece, it may be because they bring about a net reduction in overall interaction, but unintentionally increase it in particular hot spots, where the virus is more easily transmitted. Or it could be because the heavy-handed, authoritarian attitude of most states has infantilized their populations, prompting them to take less responsibility for not spreading the virus than they would have if they’d been trusted to change their behaviour voluntarily.

Here, Toby seems to be conflating the hard and soft versions of the argument again. Lockdowns do reduce human interaction and they do reduce the infection rate. That has got nothing to do with the number of COVID deaths overall which are largely caused by infections that take place when lockdowns are relaxed.

Positive SARS-CoV-2 tests. England

I'm not quite sure what his argument is here, to be honest. If lockdowns make people increase their interaction with others in 'particular hot spots' or make them more irresponsible, shouldn't we see rates rising during lockdown?

Chris neglects to mention Sweden, which is not surprising because it poses some very awkward questions for people who believe the Covid death toll in Britain would have been far larger if we hadn’t imposed two lockdowns last year.
 
I mentioned Sweden in my initial article when I said...
 
No amount of comparing Sweden to its immediate neighbours will persuade me that the Swedes didn’t have a better 2020 than most Europeans.
 
I am happy to do so again. 

Unlike some lockdown sceptics, Toby concedes that Sweden had significant excess mortality last year, but says this was partly due to there being fewer deaths than normal in 2019 (the so-called 'dry tinder' effect). And so he lumps 2019 and 2020 together and triumphantly concludes that the combined death count from 2017 and 2018 was similar to that of 2019 plus 2020.
 
I'll let the actuaries judge whether this is a reputable methodology. I would only point out that developed countries are supposed to see age-standardised mortality falling year-on-year and they usually do. There was nothing particularly special about 2019 in Sweden. The UK also had its lowest rate ever in 2019. This does not mean there is dry tinder waiting to go up in flames.
 
Nevertheless, it is true that Sweden did not see the conflagration some people predicted. I wrote about this in September to make an anti-lockdown point. I was tired of people comparing Sweden to its immediate neighbours, all of which have much lower rates of COVID mortality. I was bored of people claiming that Sweden had got off the hook because of its population density which is, in fact, no different to some countries that have been very badly hit. 
 
My argument was that Sweden should be judged by its own standard. I pointed out that it had around 90,000 deaths every year and if it ended 2020 with 6,000 deaths from COVID - some of which would have happened anyway - it wouldn't be such a bad result in a once-in-a-century pandemic. The health service hadn't been overwhelmed. The Swedes had largely preserved their way of life, most of them seemed happy with the approach and in years to come, they, unlike most Europeans, will have something to say when they are asked what they did in 2020. 
 
I wrote that...
 
The Swedes always accepted that they would see a higher rate of mortality in the spring and summer than countries which locked down early. The argument against lockdown was that every country would see a similar number of deaths in the longterm and that it wasn't worth disrupting people's lives and livelihoods in an extreme way by quarantining the entire population. 

I never endorsed the belief of some sceptics that Sweden had reached herd immunity, but I did think that it would enjoy some protection in the winter from having allowed the virus to circulate among younger people in the summer. I wrote about this a week after the first lockdown ended in July, saying:

One country can look to the winter with less trepidation than most. Last week, a study suggested that 30 per cent of Swedes have built up immunity to the virus. It would help explain why Covid-19 has been fizzling out in Sweden. If a measure of herd immunity also helps them avoid the second wave, Sweden’s take-it-on-the-chin approach will be vindicated.

We've all made bad predictions in the last year (even Toby) and this was not one of my best. In my defence, I did conclude the article by saying that Sweden wouldn't look too clever if vaccines were produced in record time...

If a vaccine goes into production by autumn, the Swedes will look reckless. But that is not going to happen - and winter is coming.
 
The vaccines didn't quite go into production in autumn, but it was close enough to make herd immunity by other means look a more questionable strategy. 
 
Sweden has now had over 12,000 COVID deaths since the pandemic began and its second wave has been much worse than most. In December, 99 per cent of Stockholm's intensive care beds were full. Finland and Norway offered them medical assistance. The King of Sweden said the country had failed. I expect the economy to have been badly hit. Although the infection rate has fallen recently, it is still above the EU average and is - as always - much, much higher than that of it neighbours.
 
 

Toby wants to know why it wasn't even worse. I would say it's because the government pleaded with Swedes to keep themselves to themselves. Swedes are advised to work from home and mix only with people they live with or with 'a small number of friends or people from outside your household'. Swedish people take such advice seriously, but there has been some stick as well as carrot. In December, the government closed high schools and told people to wear face masks on public transport. 
 
Last month, the Swedish Parliament passed new legislation to 'allow the authorities to close restaurants, shops, and public transport in the country for the first time, and fine people who break social distancing rules.' Large gatherings have been banned for months. Gatherings of more than eight people have been banned since November. The sale of alcohol is banned after 8pm. All of this and more has played a part in Sweden having merely one of the worst second waves rather than having the absolute worst. 
 
Unlike Britain, Sweden hasn't had many cases of the more infectious B117 virus. Perhaps the large number of Swedes who have antibodies from being infected last year has also helped, at least marginally.

Whatever the reasons, Sweden is not Britain, just as North Dakota isn't New York. It is a myth that Sweden has relied on voluntary measures, particularly in recent weeks, but insofar as voluntary measures have prevented the total catastrophe some predicted in Sweden, they have never shown any signs of doing so in Britain. [See the update at the bottom of this post for more on Sweden.]

I'm happy to judge Sweden by its own standard, but I also judge Britain by its own standard. We tried relying on people using common sense in the autumn and it didn't work. We then tried a tougher approach with the tiers and that didn't really work either. The tiers had an effect in some areas and probably flattened the curve overall, but they weren't enough to stop cases quadrupling in December when the B117 variant took off. 
 
Our objective was to stop the NHS being overwhelmed. We failed. The infection rate rose and I am at a loss to see how adopting a more Swedish approach would have helped. By what mechanism would allowing more human interaction have slowed the spread?
 
Toby mentions again the US states that didn't lock down (although from a cursory look, at least one of them pretty much did). He admits that they haven't performed quite as well as he may have implied earlier, but says that most of them didn't fare too badly. In fact, most of them fared worse than average, and the ones that didn't were the extremely rural states of Nebraska, Utah and Wyoming. 
 
Why didn't North Dakota and Arkansas do even worse than New York and New Jersey on a deaths per million basis, he asks? 
 
I don't know, but I would imagine population density has something to do with it. New York City is the busiest and most densely populated city in the USA whereas the biggest city in North Dakota, by some distance, is Fargo (population: 124,662). Being an international travel hub, New York was hit by a massive epidemic of COVID-19 last spring and locked down as a result (London was in the same position and it is another reason the UK was hit harder than Sweden). 70 per cent of all the COVID deaths in New York occurred during that initial outbreak. Surely you can't blame those deaths on the lockdown? The lockdown was a response to the deaths and it worked well in bringing the numbers down. 
 
Presumably the sceptics think New York made a mistake and should have let nature take its course. I cannot see how that would have helped. What practical lessons should we have learned from South Dakota and Sweden in December as the hospitals filled up in Britain? It is one thing to argue that more mixing between households wouldn't have done much harm, but how can anyone argue that it would have helped?

In the final analysis, the best comparison is between England with a lockdown and England without a lockdown. Toby has an answer for this and it is here that we see the 'hard' version of the 'lockdowns don't work' argument return. Having started his article by denying that lockdown sceptics believe that 'infections will rise and fall within a given region, irrespective of how much human interaction there is', Toby argues that it is not lockdowns that make rates fall, but nature.

[Snowdon] admits that it’s difficult to prove this is causation rather than correlation, but claims that’s a more plausible hypothesis than the alternative – “that it is sheer coincidence that lockdowns have been accompanied by a sharp decline in case numbers in the UK and elsewhere time and time again”.

But I don’t know anyone who thinks this is “sheer coincidence”. Insofar as the decline in case numbers has coincided with lockdowns and other NPIs – and didn’t predate their imposition, as it did in the case of the UK’s first lockdown, which Chris more or less concedes – our contention is that it’s due to seasonality (which is why infections began to decline across Europe simultaneously last summer, regardless of when different countries lifted their restrictions) and the fact that the epidemic is beginning to settle into endemic equilibrium as more and more people get infected and then recover.

 
Sorry, but how is that different from sheer coincidence? Toby is saying that seasonality causes rates to fall and that this happens to coincide with governments bringing in lockdowns. 
 
It's a pretty ludicrous theory. Seasonality is a decent partial explanation for why COVID-19 rates stayed fairly low in the summer. It is not such a good explanation of why they fell dramatically in January. 
 
When, exactly, is Coronavirus Season supposed to be? It seems to be in October in Belgium, November in Slovenia, Lithuania and Italy, and December in Denmark and the UK. 
 

 

Looking at case numbers, France seems to have had its coronavirus season in October, but the epidemiological curve has not declined in the way you would expect. Estonia's season is still ongoing with rates high and flat whereas Ireland's season was remarkably short and sharp, with the disease spreading over Christmas and suddenly declining after 31st December for some mysterious reason (spoiler: lockdown).

 

All of these countries saw massive spikes in deaths last spring which strongly suggests that the virus was spreading rapidly in February. This year, however, sceptics want us to believe that February is the time when the virus naturally fades away. 

This is obviously nonsense. Seasons have an effect on SARS-CoV-2 only insofar as cold weather makes people more likely to be inside where viruses can spread more easily. It doesn't naturally disappear just because it's summer, let alone just because it's January. The number of COVID deaths has been rising in South America in recent weeks and South Africa has had a second wave in summer that was worse than the first wave in winter. Around the world, there have been major outbreaks in spring, summer, autumn and winter.

Toby concludes by saying that he enjoys debating me but that I need to 'stop tilting at straw men'. I enjoy debating him and I wish they were straw men. I wish he wasn't seriously claiming that the fall in infection rates seen around the world again and again at different times of year after lockdowns are introduced is the result of the seasons. This is not so much straw man and straw clutching.

I mentioned the Google Mobility data in the debate. I find it fascinating. In Sweden, you can almost see the exact moment at which people's behaviour changed in late December, thereby leading to the decline in cases in January. You can also see the subsequent rise in movement which correlates with the current increase in cases.


 


 
This is evidence that people can change their behaviour voluntarily (albeit with a lot of nudging and a few regulations) in a way that brings case numbers down. But there are two things I find particularly interesting about this data.

Firstly, mobility fell to a record low in Sweden in late December. Even the current level is lower than it was last spring when rates were falling. In other words, the kind of behavioural change that was sufficient to bring case numbers down in the spring no longer seems to be enough, presumably because winter makes it less congenial to meet outdoors.

Secondly, look at the graph below, particularly November and December.


In the UK, mobility was more than 30 per cent below normal levels in December and yet rates of infection were rising rapidly. In Sweden, they fell to that level in late December, but that was sufficient to bring rates down. 

This is just one measure of mobility, but all the others show a similar trend and a similar disparity between the two countries. It strongly suggests that even if the British had been able to reduce their mobility to Swedish levels voluntarily, it wouldn't have been enough to stop the rise in infections. This might be because of the B117 virus which is dominant in Britain or it might be something else. It could be any number of things. It is a reminder than Sweden and the UK are different countries. You cannot assume that what happens in one place will happen in another. 

 
UPDATE
 
Lockdowns work by reducing human contact. If a country can sufficiently reduce human contact by other means, they should avoid lockdowns. Conversely, countries which cannot effectively enforce a lockdown are not going to sufficiently reduce human contact.  

Human interaction is the key and Google Mobility data is a good measure of it. In Sweden, you can almost see the exact moment at which people's behaviour changed in late December, thereby leading to the decline in cases in January. You can also see the subsequent rise in movement which correlates with the current increase in cases.


 


 
This is evidence that people can change their behaviour voluntarily (albeit with a lot of nudging and a few regulations) in a way that brings case numbers down. But there are two things I find particularly interesting about this data.

Firstly, mobility fell to a record low in Sweden in late December. Even the current level is lower than it was last spring when rates were falling. In other words, the kind of behavioural change that was sufficient to bring case numbers down in the spring no longer seems to be enough, presumably because winter makes it less congenial to meet outdoors and the B117 variant is starting to spread.

Secondly, look at the graph below, particularly November and December.


In the UK, mobility was more than 30 per cent below normal levels in December and yet rates of infection were rising rapidly. In Sweden, they fell to that level in late December, but that was sufficient to bring rates down. 

This is just one measure of mobility, but all the others show a similar trend and a similar disparity between the two countries. It strongly suggests that even if the British had been able to reduce their mobility to Swedish levels voluntarily, it wouldn't have been enough to stop the rise in infections. This might be because of the B117 virus which is dominant in Britain or it might be something else. It could be any number of things. It is a reminder than Sweden and the UK are different countries. You cannot assume that what happens in one place will happen in another. 

This can also be seen in the hospital data. The UK ended up with twice as many people in hospital with Covid (pro rata) than Sweden in January as a result of the pre-lockdown wave. The argument of lockdown sceptics is that people naturally modify their behaviour when the virus is getting out of control. If so, why did this happen in Sweden when it reached the breaking point of 250 people per million in hospital, but not in the UK?


Notice the dip in hospital occupancy in the UK in November. That was the four week lockdown that began on November 5th. It is a clear cut example of a lockdown reducing cases, hospitalisations and deaths. We even have a suitable control group in the form of Wales, which locked down two weeks earlier and saw the same result two weeks earlier. A few lockdown sceptics have suggested that this, too, was an example of people modifying their behaviour naturally and that the drop in cases, hospitalisations and deaths would have happened anyway. It boggles the mind why people would suddenly behave this way in November but not when the situation was much worse in mid-December.

Lockdown sceptics who say 'cases would have fallen anyway' every time cases fall after a lockdown is introduced have finally found an argument that cannot be categorically disproved. It requires an extraordinary concatenation of coincidences around the world, but they will believe what they want to believe. It is understandable that they would use Sweden as a counter-factual since there are not many places that have avoided legal lockdowns, but while the Swedish approach might have worked for Sweden, all the indicators suggest that it wouldn't have worked for the UK. Indeed, it clearly didn't work for the UK when we tried a more 'Swedish' approach in December. We had more cases, more hospitalisations and more deaths, and, as the Google mobility data shows, it required a much greater suppression of human interaction to get the numbers down.


Friday, 5 February 2021

Do lockdowns work?

 

Toby Young has responded to my Quillette article about COVID cranks. He says he 'won’t bother responding to [my] detailed criticisms of Ivor Cummins and Michael Yeadon because I don’t think the case against the lockdown policy stands or falls on whether their analysis is correct.'

Fair enough, but it was the claims made by such people that were the focus of my piece. Those who want a more liberal approach have been sullied by their association with such crackpots. That is regrettable because it gives the 'Zero Covid' fanatics the edge in the debate about when to end the current lockdown.

Toby's argument, which has been circulating on social media ever since the 'casedemic' theory collapsed so spectacularly, is that lockdowns simply don't work.
 

Our contention is that the whole panoply of non-pharmaceutical interventions (NPIs) that governments around the world have used to try and control the pandemic—closing schools and gyms, shutting non-essential shops, banning household mixing, restricting travel, telling people they can’t leave their homes without a reasonable excuse, etc.—have been largely ineffective.


How can this be? As far as I'm aware, one of the few areas of agreement remaining between the sceptics and the mainstream is that SARS-CoV-2 is a communicable disease that is transmitted from human to human, especially in poorly ventilated indoor spaces. If human interaction is severely curtailed, the infection rate can be reduced below 1 and the number of cases will fall.

This does not necessarily require lockdowns. People could do it voluntarily. But if they don't do it voluntarily, I would argue that government coercion is justified under the harm principle, a concept with which classical liberals should be familiar. 
 
So whilst lockdowns may not be a necessary condition for reducing the infection rate, they are a sufficient condition (assuming, of course, that people abide by the law). Toby is arguing that they are neither. In fact, he goes even further than that by claiming that none of non-pharmaceutical interventions work, not even travel restrictions.

He concedes that there are 'some peer-reviewed studies published in reputable journals seeming to show that these measures reduce COVID-19 infections, hospital admissions, and deaths'. He only links to one of them, but there are many others. In any case, he says that 'most of these rely on epidemiological models that make unfalsifiable claims about how many people would have died if governments had just sat on their hands'. 

Instead, Toby links to a blog post which supposedly reviews 30 studies which provide 'evidence that lockdowns don’t work ... not based on conjecture but on observing the effects of lockdowns in different countries.' I have seen this blog post touted around Twitter for weeks. Of the 30 (actually 31) 'studies', only seven have been published in journals in the last twelve months. Many of them are pre-prints that have not been peer-reviewed. Some are self-published PDFs. Three are newspaper or magazine articles. One is a blog post. Many of them have only a tenuous relationship to the question of whether COVID-19 lockdowns have worked. One of them was published in 2006, another in 2008. Quite a few of them involve the kind of modelling Toby says is no good.

Of the seven published studies, one is only available as an abstract and seems to be more of an opinion piece than a research paper. One is about quarantined US Marines and has little relevance to the question at hand. Another is a research letter that is almost entirely irrelevant. 

Only five of them broadly support Toby's argument. One of them found that various factors, such as life expectancy, are associated with the number of COVID-19 deaths in different countries, but lockdown stringency isn't. This study came to a similar conclusion. This study from New Zealand, where there have been only 25 deaths from COVID-19 so far, makes the bold claim that 'lockdowns do not reduce COVID deaths'. 
 
Another study looked at the factors associated with higher Covid death rates at the national level and found that 'border closures, full lockdowns, and a high rate of COVID-19 testing were not associated with statistically significant reductions in the number of critical cases or overall mortality'. However, it also found that full lockdowns were associated with higher recovery rates which suggests that 'full lockdowns and early border closures may lessen the peak of transmission, and thus prevent health system overcapacity' (which is the justification for lockdowns in the UK)

Finally, there is this study which concluded that lockdowns suppress the virus in the short term, but lead to more deaths in the second wave 'unless herd immunity is achieved by vaccination, which is not considered in the model'. 

Vaccination is the crucial missing variable. There are two versions of the 'lockdowns don't work' argument. I'll come to the 'hard' version in a moment, but the 'soft' version says that, in the absence of a vaccine, the virus will infect a certain proportion of the population sooner or later so you might as well take it on the chin. Given the social and economic costs of going in and out of lockdown indefinitely, there is a lot of truth to this and the handful of peer-reviewed studies in the blog post Toby links to address that issue.

But there are two big problems with it. Firstly, many lockdowns - including the ones in Britain - were not so much designed to reduce the overall death toll as to prevent the humanitarian disaster of having many millions of people infected simultaneously and overwhelming the health service (which would itself lead to more people dying). If you accept that avoiding that is as a legitimate policy goal, using lockdowns to flatten the curve makes sense.

Secondly, we have multiple vaccines now. Unlike in March and November, it can no longer be argued that lockdowns merely delay the inevitable. Lockdowns do work if you have a destination.

Saying lockdowns don't work because they don't get rid of the virus is to argue against something nobody has claimed. We always knew that the spring lockdown would only push the problem into the winter. Neil Ferguson's much hated (by sceptics) model for Imperial College in March made that perfectly clear. The government was buying time, hoping that salvation would come in the form of Test and Trace (it didn't) and vaccines (it did). 


The 'hard' version of the argument says that lockdowns don't even work in the short term. They don't reduce the infection rate, even temporarily. Given the existence of germ theory, this is an extremely difficult idea to swallow and yet Toby seems to have done so. With reference to his '30 studies', he writes:

What these data seem to show is that the SARS-CoV-2 epidemic in each country rises and falls—and then rises and falls again, although less steeply as the virus moves towards endemic equilibrium—according to a similar pattern regardless of what NPIs governments impose.

This is not true. Even the studies that can be used to support the soft version of the anti-lockdown argument do not support this argument, which amounts to 'viruses gonna virus'.  

If lockdowns work, you’d expect to see an inverse correlation between the severity of the NPIs a country puts in place and the number of COVID deaths per capita, but you don’t. 
 
Toby is now conflating the hard and soft arguments. The test of whether lockdowns reduce the infection rate is whether the infection rate falls after a lockdown is introduced, not whether the country has a high or low COVID death rate overall. Lockdowns can work (in the sense of reducing the number of cases in the short term) in countries that have already had many COVID deaths, as Britain and much of Europe have shown in the last twelve months. Countries lock down hard precisely because they've got high death rates.
 
On the contrary, deaths per million were actually lower in those US states that didn’t shut down than in those that did—at least in the first seven-and-a-half months of last year.
 
This is not relevant to the question of whether lockdowns reduce the caseload, but it's worth noting that 'at least in the first seven-and-a-half months of last year' is doing a lot of heavy lifting here. Toby's source is a blog post from the American Institute for Economic Research published in August. It looks at 'the only seven states to never issue stay at home orders' (Utah, South Dakota, North Dakota, Nebraska, Iowa, Wyoming, and Arkansas) and claims that they are 'amongst the top performers in terms of minimizing deaths per capita'.
 
It didn't age well. By November, the pandemic in North Dakota and South Dakota was 'as bad as it gets anywhere in the world'. Both states have an even higher COVID-19 death rate than the UK. Arkansas's COVID death rate has risen from 21 per 100,000 to 166 per 100,000. Iowa's is 160 per 100,000. Nebraska and Wyoming have a similar death rate to California, which is to say a high one. With the exception of Utah, all the 'top performing' states have seen COVID-19 kill at least one in a thousand citizens so far. 
 
(Incidentally, the current smiley favourite, Florida, has a COVID death rate of 127 per 100,000, putting it on a par with Spain and Peru. Not a massive success story.)
 
So do lockdowns reduce the infection rate or is the virus gonna virus?  Thanks to mass testing, we have accurate data on case numbers for many countries. People tend to get tested around 5-10 days after they get infected (ie. when they get symptoms) so we can see whether infection rates fell after a lockdown was introduced by seeing what happened to the case numbers a week or so later.
 
Here is France, for example. The lockdown began on 31 October and cases started to fall steeply from 8 November. The lockdown began to be eased on 28 November after which case numbers began to rise.
 

 

This is Israel. It had a big spike in cases in August and September (contrary to the theory that COVID-19 is a seasonal virus) which it addressed with a lockdown beginning 18 September. Cases began falling from 27 September. In the subsequent wave, it introduced a hard lockdown on 7 January and case numbers fell from the 17 January. 


 

This is the Czech Republic, or Czechia as it now prefers to be known. It introduced a lockdown on 22 October and cases started falling after the 27 October. A subsequent lockdown began on 27 December, with case numbers peaking on 7 January.

 

This is Ireland. It had a huge outbreak over the Christmas period which was rapidly brought under control by a lockdown that began on 31 December. Case numbers peaked on 8 January. 

 
 
This is Wales. It introduced its 'firebreak' lockdown on 23 October. Cases peaked on 29 October before falling by half. 


I could go on, and you can look at the figures yourself if you still doubt me, but let's finish with England. England had a lockdown on 5 November, case numbers peaked on 9 November and then fell by half. It has been claimed that infections started falling just before the lockdown, but that's not obvious from this data. I remember thinking at the time that rates looked pretty flat and being suspicious of Chris Whitty's dodgy dossier, which is why I opposed that lockdown, but there was no sign of rates falling and there was certainly no reason to think they would fall by half. Why would they?

 
 
The third lockdown began on 6 January, but case numbers started falling at the same time which suggests that infections peaked at the very end of December or the very start of January. Other evidence confirms this and sceptics have leapt on this as evidence that lockdowns don't work.

Actually, it is evidence that lockdowns are not the only thing that works - and the other things that work are very close to being lockdowns. London and large parts of the south east were put into Tier 4 on 20 December. The schools were closed for the Christmas holidays at around the same time. This meant that the most heavily populated parts of the country were already in lockdown in all but name. Everywhere else was in Tier 3. There was not a pub or restaurant open in the country. Many workplaces were closed over Christmas. 

We can see from the mobility data that things quietened down over the Christmas period. It was a very unusual Christmas.


If you want to argue that closing all the schools and most of the workplaces and putting the whole country in Tiers 3 and 4 has similar effects to a full lockdown, you won't get much argument from me, but don't pretend infection rates were falling under a laissez-faire regime.

Alternatively, you can argue - as Toby appears to be doing and many smileys certainly do - that infection rates are unaffected by any restrictions on human interaction and that it is sheer coincidence that lockdowns have been accompanied by a sharp decline in case numbers in the UK and elsewhere time and time again. He seems to think it was a fluke in January, a fluke in November and a fluke in March.

Incidentally, Snowdon’s claim that the first British lockdown reduced COVID infections is easy to debunk. You just look at when deaths peaked in England and Wales—April 8th—go back three weeks, which is the estimated time from infection to death among the roughly one in 400 infected people who succumb to the disease, and you get to March 19th, indicating infections peaked five days before the lockdown was imposed.

This theory remains contentious as we didn't have mass testing at the time. When BBC More or Less looked at the issue, they found it depended on whether you used the mean or modal average. But let's say it's true. People were told to avoid unnecessary travel and contact with others on 16 March. Vulnerable people were told to shield themselves for twelve weeks. Pubs, restaurants, gyms and schools were closed by law on 20 March.
 
It is possible that this was enough to bring R below 1, but it is equally possible that R would have gone back above 1 after the initial panic subsided and people resumed human interaction. Either way, you have to accept that human interaction spreads the virus. If you're worried about the social and economic damage done by people not going out mixing and socialising, it shouldn't really matter whether it is the result of voluntary or mandatory measures. If you don't think lockdowns make much difference to people's behaviour, they can't make much difference to the economy. You can't have it both ways.
 
If, on the other hand, you want people to be mixing and socialising, don't pretend that the way people behave in the days leading up to a lockdown are representative of how they would behave if there was no lockdown at all. 

And if your argument is that human interaction is irrelevant and the virus is gonna virus, then there's nothing left to be said. Wallow in ignorance if that's your scene, but don't expect be taken seriously by anyone outside the smiley cult. 

The number of cases doubled in England in December to 30,000 a day, which is more than we had when the November lockdown was announced. In the second half of the month, they doubled again. We have seen the consequences of that in recent weeks, with more than a thousand COVID deaths a day and nearly 40,000 people in hospital with the disease. 

Imagine if it had doubled again. And again. At some point it would have petered out, but with 80% of the population vulnerable to catching it - and it being the middle of winter - there was no reason to think that exponential growth wouldn't continue for at least a little while longer. 

Presumably, those who believe that non-pharmaceutical interventions are 'largely ineffective' believe that the infection rate would have fallen by two-thirds in recent weeks, as it has, if we'd have carried on as normal. They must also believe that rates would have quadrupled in December, as they did, if we'd been in full lockdown from late November. They must think it is just good luck that SARS-CoV-2 is no longer circulating in Wuhan and New Zealand. Virus gonna virus, right? It's got a mind of its own.

It's absurd thinking, but the sceptics have finally found an argument that cannot be categorically disproved. Lockdowns have a scientific rational: you can't transmit a virus to people you don't meet. Contrary to what Toby says in his article, they also have historic precedents: during the Spanish Flu, cities such as Philadelphia closed shops, churches, schools, bars and restaurants by law (they also made face masks mandatory). And now we have numerous natural experiments from around the world showing that infection rates fall when lockdowns are introduced.

In the final analysis, the smileys yelp 'correlation is not causation'. It never is. The link between smoking and lung cancer is still only a correlation, but there comes a point when the correlations are so strong and the alternative explanations are so far-fetched that it becomes proof in the mind of any fair-minded individual.
 
But even though sceptics lack a convincing hypothesis to explain why lockdowns don’t work, I don’t think we’re obliged to come up with one. Surely, the onus should be on governments to show that lockdowns work if they’re going to suspend their citizens’ civil liberties? For me, as a classical liberal, this is the most decisive argument against the draconian controls democratic governments have imposed in the hope of mitigating the impact of the virus.
 
To be fair to the government, it has tried to persuade people and it has succeeded in most cases - which is going to have to suffice when a democracy is faced with a collective action problem. Toby complains that the case for lockdowns rests on 'epidemiological models that make unfalsifiable claims about how many people would have died if governments had just sat on their hands'. But you don't need a model to know that an uncontrolled epidemic is going to get out of control. The models try to quantify how bad things will get - not always accurately - but the basic assumption that a communicable disease will spread exponentially unless action is taken should not be up for debate. 
 
Unless there are certain agreed facts, there is no room for a productive conversation. We have a highly infectious disease that kills around one per cent of those who contract it and which is a huge drain on healthcare resources. Most people have not yet contracted it and therefore do not have immunity to it. It is airborne and spreads via human contact. Whenever restrictions have been relaxed we have seen rates rise, particularly in the winter. Voluntary behavioural change may have been enough to control the virus in some parts of the world, at least for a while, but it has never been enough to produce a sustained fall in the UK. Around 20% of the population have had the virus, of whom over 100,000 have died. If 40% got it, 200,000 would be dead. If 60% got it, 300,000 would be dead. And so on.
 
This is just science and the remorseless logic of exponential growth. If the sceptics want to argue with biology and mathematics, then I'm afraid the onus is on them to make their case. Both sides are dealing with counterfactuals and therefore with unfalsifiable propositions. Absolute proof is impossible, but those who believe that lockdowns reduce the infection rate have a solid theoretical basis for their view which is backed up by ample empirical evidence from around the world. 

The sceptics, by contrast, have fallen for every crackpot theory going for the last six months and have finally settled on a claim that can never be fully demolished; the idea that whatever happens would have happened anyway. Thanks to mass vaccination, the virus should fade away for good over the next few months and the sceptics can tell us forevermore than the government overreacted to a December spike of a virus that was already on its way out; that a virus which naturally peaked in late March last year naturally peaked in early January this year. And you will never be able to convince them otherwise.
 
Toby makes a fair point when he says that the government has never produced a solid cost-benefit analysis, but such an analysis would be rejected out of hand by the sceptics because it could only be based on 'unfalsifiable claims about how many people would have died'. Given that the average person who dies from COVID-19 loses, on average, ten years of life, and that much of the economic damage is caused by people's response to the virus rather than the lockdown, any realistic estimate of how many deaths have been prevented - combined with the standard valuation of a quality-adjusted life year - would, I am sure, show that this lockdown has been worthwhile. 

That could change as the lockdown wears on, the vaccinations kick in and the number of deaths being prevented declines. At that point, the public debate would benefit from some level-headed economic analysis from lockdown sceptics, but who, by that time, will still be listening to them?


UPDATE: This debate was continued here.


Wednesday, 3 February 2021

COVID-19 mythbusters

Once the number of COVID-19 deaths in Britain reached over 1,000 a day, I naively thought that the people promoting the "casedemic" theory would shut up and go away. Instead, they have resorted to increasingly desperate and tenuous arguments to maintain their belief that there is nothing particularly unusual or threatening about this virus. 

Because the same dumb objections are raised repeatedly on Twitter, I started writing up prepared responses. Some people have told me they find them useful, so I am posting the whole lot below, with links to the sources. 

A few of them are, fortunately, getting past their sell by date because the denialists have moved on to new turf. At this stage in the second wave, pretty much all they have left is arguing against germ theory. 

 

1. Flu has not disappeared, but there are fewer flu deaths than average. In England in December, the age standardised mortality rate for influenza and pneumonia (which are grouped together because influenza usually kills through pneumonia) was 25.5 per 100,000, significantly lower than the five year average of 50.9 per 100,000 (Office for National Statistics). It was still the ninth biggest killer in that month, however. Flu has not gone away.

There are fewer flu deaths than average because hand-washing, social distancing, face masks, lockdowns, reduced air travel, etc. cut its transmission. New Zealand also saw a large drop in flu deaths, but has only had 25 COVID-19 deaths.

The idea that COVID-19 deaths are actually misdiagnosed flu deaths is absurd. Firstly, it would require Britain to have a massive flu season with an extraordinarily lethal strain of influenza at a time when the population has been adopting measures  since March that cut the rate of transmission.

Secondly, it requires most people who die of ‘flu’ to have tested positive for COVID-19 recently. Since ‘only’ 2% of the population has COVID-19 at the moment, that would be quite the coincidence.

Thirdly, it requires a conspiracy among doctors to put COVID-19 on tens of thousands of death certificates of people who actually died of ‘flu’. This conspiracy extends to all medics who treat COVID-19 patients and can see that the symptoms and fatality rates are different (and worse).

The more obvious explanation is that the virus which killed lots of people in the spring is killing lots of people in the winter.



2. Where are the excess deaths? They can be seen every week in the Office for National Statistics publication ‘Deaths registered weekly in England and Wales’ and in the monthly publication ‘Monthly mortality analysis, England and Wales’.

In December, the ONS recorded 10,594 excess deaths and 10,973 deaths from COVID-19. In the first three weeks of January alone, there were 17,342 excess deaths.

Excess deaths are deaths above the five-year average. That is the definition. Admitting that there are excess deaths while insisting that there are no more excess deaths than usual is a meaningless oxymoron.

Cumulatively, there will be more COVID-19 deaths in the second wave. There were 41,000 deaths with COVID-19 on the death certificate between March and July, and 60,000 since the start of November (see section 4 for the 'with Covid or of Covid?' question). The number of excess deaths, which has been affected by a lower-than-usual number of non-Covid deaths in the second wave, is also likely to be larger. As of 22 January 2021, there had been over 41,000 excess deaths since November.

 

3. False positives are not an issue. The false positivity rate of the PCR test is very low (well below 0.1%). We know this because when countries with hardly any COVID-19 cases do mass testing, they find hardly any positives. For example, in New South Wales, 135,000 people were recently tested, producing 93 positives. Even if they were all false positives (they weren’t), that would be a false positive rate of 0.069%.

The ONS does a random prevalence survey using the PCR test every week. It says the specificity of the test is at least 99.9% (ie. the false positive rate is no more than 0.1%). Between 31 July and 10 September, 159 of the 208,730 total samples tested positive. As the ONS says: “Even if all these positives were false, specificity would still be 99.92%” (ie. the FPR would no higher than 0.08%). 

The increase in positive tests cannot be attributed to the increase in testing. The number of tests has increased two or threefold since August while the number of positives has increased fifty-fold.

The idea that the PCR test has a 90% or 93% or 95% false positive rate came about because Michael Yeadon wrote an article in September arguing that if we tested people at random with a test that had a 1% FPR and there is very little SARS-Cov-2 in the community then most of the positives will be false (he said 90%). This is the base rate fallacy and it is not wrong. It is just irrelevant. We do not have low levels of the virus in the community, we are not testing at random and the FPR is much lower than 1%.     

Public Health England wrongly claimed that only 7% of COVID-19 cases would be identified through testing at airports. This led some people who don’t understand science or statistics to assume that the FPR is 93%. PHE was actually talking about the number of people with the virus who would become symptomatic during the course of a flight. Even if the PHE claim related to testing accuracy, it would be a 93% false negative rate, but it wasn't. 

False negatives are far more common, partly because the PCR is so invasive that people don’t do it properly, but the ‘sceptics’ are strangely uninterested in those.


4. With Covid or of Covid? In the UK, COVID-19 deaths are recorded in two ways. One method is based on COVID-19 being mentioned on the death certificate. The other counts death as Covid-related if they took place within 28 days of a positive Covid test.

This means that it is possible for someone to be admitted to hospital, test positive and die from another disease. It is also possible for someone to be admitted with another disease and catch Covid while in hospital. Indeed, this happens too much; the Telegraph reported in December that 16% of hospital patients with Covid caught the virus in hospital.

Those who seek to downplay the epidemic focus on these patients. Of course, Covid is still a problem if you catch it in hospital, and the 28 day cut-off for deaths means that people who die of Covid after 28 days are not included in the figures, but the ‘sceptics’ aren’t worried about under-reporting.

What we can say for sure is that the number of excess deaths in 2020 closely matches the number of Covid deaths. If you want to claim that a large number of ‘with Covid’ deaths were not from Covid, what were they from? What other disease has surged in the last twelve months? Why do cases rise a week or so before hospitalisations rise if the patients are testing positive in hospital?

As of January 23rd, less than two per cent of the population have COVID-19 and yet around 40 per cent of people dying have COVID-19. We know that COVID-19 is a lethal disease. Occam’s Razor says that COVID-19 is killing the vast majority of the people who die with COVID-19.

This is confirmed by the death certificate figures which the ‘sceptics’ rarely mention. These figures are very similar to the figures based on the 28 day cut-off. As of February 2nd, 108,013 deaths have been recorded based on the 28 day rule and 112,660 have been recorded based on death certificates.

Contrary to popular belief, it takes more than having COVID-19 mentioned somewhere on the death certificate for a death to be classed as a COVID-19 death. The ONS distinguishes between deaths involving Covid and deaths in which Covid was the underlying cause: “In most cases (90.2% in England and 88.2% in Wales) where the coronavirus (COVID-19) was mentioned on the death certificate, it was found to be the underlying cause of death.”



5. No, they are not ‘lockdown deaths’ 

Now that the Covid ‘sceptics’ have mostly given up pretending that there are no excess deaths, they have pivoted to claiming that the excess deaths are not caused by the viral pandemic that has killed millions worldwide, but by the effects of lockdown itself.

It is not clear what diseases are supposed to be causing these ‘lockdown deaths’. One claim is that the NHS has become the ‘Covid Health Service’ and people with other ailments are not being treated. It is certainly true that hospitals overrun with Covid patients have had to cancel elective surgery and some routine screenings and operations. This is likely to cause deaths in the long term, if not immediately, but this is the result of COVID-19, not the lockdowns. Allowing more people to be infected and hospitalised with the disease is unlikely to improve matters.

In nine out of the ten last weeks, there have been fewer non-Covid deaths than the five-year average. COVID-19 deaths comfortably account for all the excess deaths recorded this winter. This should not be too surprising. New Zealand and Australia both saw fewer deaths than average in 2020 despite extensive and draconian lockdowns. Lockdowns reduce the ability of other infectious diseases to spread and reduce some other causes of mortality, eg. road accidents.

There have been excess deaths in hospitals, care homes and private homes in recent weeks. An excess death is a death that would not be expected to occur, all other things being equal. You cannot infer that an excess of deaths in the home would not have occurred in any case. People are more reluctant than usual to go to hospital this year, quite understandably, but that doesn’t mean the people who die at home died from lockdown. There were a similar number of excess home deaths in the summer when there was no lockdown. Deaths that would have occurred anyway are simply being displaced to the home. The only way you could convince yourself otherwise is by believing that all the people who perished from a ‘lockdown death’ also happened to test positive for COVID and/or had a doctor who committed the criminal act of putting the wrong cause of death on the death certificate.

If the excess deaths were lockdown deaths, they would take place at a similar rate across the whole country. Instead, there are more excess deaths in regions with high rates of COVID-19. That is because they are not caused by lockdown, but by COVID-19.


6. The WHO has not changed its advice to clinicians about testing for SARS-CoV-2, nor has it said that the PCR test produces a lot of false positives.

On 20 January 2021, a theory circulated on the internet that the World Health Organisation had begun advising medics to retest anyone who tested positive for SARS-CoV-2 if they don’t have symptoms. This was taken as a tacit admission that tests for the virus - and the PCR test in particular - produce a large number of false positives which result in an inflated case count and the NHS being under-staffed because workers have to self-isolate after falsely testing positive. One version of the theory claims that the WHO published the new advice on the day of Joe Biden’s inauguration in order to reduce the number of reported cases under his presidency.

The WHO webpage is titled ‘WHO Information Notice for IVD Users 2020/05’ and can be summarised as “Read the Manual”. Its stated purpose is to “clarify information previously provided by WHO”. It provides a very brief summary of the WHO’s advice published in Diagnostic Testing For SARS-CoV-2, published on 11 September. The webpage was first published on 13 January, not 20 January, and it only reiterates existing advice. It includes the lines: “as disease prevalence decreases, the risk of false positive increases. This means that the probability that a person who has a positive result (SARS-CoV-2 detected) is truly infected with SARS-CoV-2 decreases as prevalence decreases, irrespective of the claimed specificity” and “Where test results do not correspond with the clinical presentation, a new specimen should be taken and retested”

The first sentence is an almost verbatim copy of what the WHO said in the previous version of the advice on 14 December (now deleted but available on Wayback Machine). The second reflects what the WHO says in the Diagnostic Testing For SARS-CoV-2: “When test results turn out to be invalid or questionable, the patient should be resampled and retested.”

NHS staff are not told to self-isolate if they test positive once. On the contrary, they are told to “arrange a confirmatory PCR test via the established testing routes”. Staff who contract COVID-19 are told not to resume regular testing for 90 days in order to avoid false positives resulting from fragments of inactive virus. The same 90 day advice is given to the general public.  

Retesting people who test positive without presenting symptoms is perfectly sensible, but since the specificity of the PCR test is above 99.9%, there are a very few false positives to uncover and it makes little difference to the overall case count, let alone the number of people dying from COVID-19. As the advice is not new, it obviously has nothing to do with Joe Biden’s inauguration.


7. This is much worse than 2017/18
There were 50,000 excess winter deaths in 2017/18, leading some people to claim that the UK’s second wave of COVID-19 is no worse than a bad flu season. An article in the Telegraph by Sarah Knapton made this argument on 18 January 2021. She claimed that there had been 12,100 excess deaths in the second wave whereas “in a bad winter flu season, around 22,000 excess deaths would be expected.”

Unfortunately, the Telegraph article is based on a misunderstanding. 2017/18 was certainly a bad flu season. England and Wales saw more excess winter deaths (50,100) than any year since 1975/76. But even in an average year, there are around 30,000 excess winter deaths. There are always excess winter deaths because they are defined as the difference between the number of deaths that occur in winter (December-March) and the average number of deaths that occur in the preceding August to November and the following April to July.



That is totally different from the excess death figures published each week by the ONS, which are deaths above the five-year average for the time of year. For example, in the week ending 15 January 2021, there were 4,220 more deaths than have occurred on average in the last five years in the second week of the year, and thus 4,220 excess deaths. This was the 14th week in a row with excess deaths. This is not normal, by definition.

If you look at the total number of deaths in England and Wales, you can see that 2018 saw more deaths than usual thanks to the bad flu season, but it was nothing like 2020:

2016: 525,048
2017: 533,253
2018: 541,589
2019: 530,841
2020: 607,173

Since the start of November, there have been more than 40,000 excess deaths and this total will continue growing for at least several weeks. We won’t know how many ‘excess winter deaths’ there are until the figures are calculated in the summer, and the figures may be skewed by the COVID-19 deaths in the autumn, but they will very likely set a new record. In any case, you cannot compare the excess deaths being recorded now with the excess winter deaths of previous years. Although the names are similar, they are two totally different measures.


For more on the Covid charlatans, lunatics and grifters who throw misinformation at gullible people, see this Full Fact article, my Quillette article and the Anti-Virus FAQ.



Drinking in the lockdown

The Office for National Statistics put out two sets of data yesterday which shine a bit of light on a couple of natural experiments, both involving The Drink.

The first is minimum pricing, which we have discussed many times. As previously reported, there was a fall in alcohol-specific deaths in Scotland in 2019 following a slight rise in 2018 (minimum pricing was introduced in May 2018). The new ONS data show that in England, where minimum pricing was not in place, there was a slight fall in 2018 and a slight rise in 2019.
 


All told, the alcohol-specific death rate fell from 20.5 to 18.6 per 100,000 in Scotland between 2017 and 2019. In England, it fell from 11.1 to 10.9 per 100,000. This is consistent with minimum pricing having a modest effect, but it is also consistent with random fluctuation; there were bigger falls in 2006-07, 2008-09 and 2011-12, and other evidence suggests that minimum policy didn't have much impact on heavy drinkers.

It will be interesting to see the figures for 2020 when lockdowns switched the market towards off-trade alcohol in a dramatic way. And that brings me to the second dataset which provides provisional figures of alcohol-specific deaths in the first nine months of last year (England and Wales only). It is quite a striking picture, with a sharp rise in the first quarter of 2020.

Both sexes were equally affected and, as the graph below shows, a similar increase can be seen among every age group over 30.

And it happened in every region of England, except the north-east where there was a steep rise in the second quarter.

 
What should we make of this? The easy answer would be to assume that people were drinking themselves to death during lockdown. Contrary to popular belief, the impact of heavy drinking can often be seen in aggregate figures very quickly. Although it can take many years to develop some alcohol-related diseases, people with chronic disease can be tipped over the edge by heavy episodic drinking while other causes of death, such as alcohol poisoning, are acute and rapid. 

The trouble with the lockdown theory is that the lockdown began on 24 March. The rise in alcohol-specific deaths took place in a quarter when lockdown was only in place for one of the thirteen weeks. Rates remained high in the second quarter but did not rise in the way that you might expect if these were deaths of lockdown despair.

Nevertheless, it is difficult to ignore the link. There was a certain amount of self-isolation before the lockdown officially began and many people may have been affected by stress at the thought of what was to come, not just in terms of lockdown but of the pandemic itself.

Whatever the cause, it undermines the single distribution theory of alcohol harm. As I said in September, different people responded very differently to lockdown. Some drank more, others drank less. Crucially, moderate drinkers tended to drink less and heavy drinkers tended to drink more.

Alcohol sales fell during lockdown and per capita consumption in 2020 seems to have been similar to previous years (we don't have comprehensive figures yet). Orthodox 'public health' theory suggests that we shouldn't see a rise in alcohol-related harm without a rise in per capita consumption. Moreover, the amount of alcohol advertising fell dramatically during lockdown and availability was greatly limited by bar closures. Since these are (supposedly) two of the main drivers of consumption, we should have seen a substantial decline in per capita consumption and a commensurate decline in alcohol-related harm.

We saw none of that. Instead we saw a spike in alcohol consumption among some (presumably heavy) drinkers which seems to have led to an almost immediate increase in harm. All of this leads to the common sense conclusion, which is alien to the neo-temperance lobby, that harmful drinking is driven by personal circumstance rather than 'commercial determinants'. Efforts to tackle harmful drinking should therefore focus on harmful drinkers rather than the whole population.
 
One day, perhaps, this message will get through.


Monday, 1 February 2021

Taxing Sin - an interview with Michael Thom


I recently came across a new book called Taxing Sin by Michael Thom, an academic at the University of Southern California. Dr Thom seems to be a man after my own heart and I'll be talking to him tomorrow at an IEA book club event. Tune in on YouTube at 6pm. 




Gambling sponsorship and sport

The main headline on the front page of the Sunday Times yesterday claimed that the government is going to ban gambling sponsorship in sport. The article itself made it clear that this is only a possibility and that no decision has been made, but it quoted three anti-gambling activists saying what a jolly good idea it would be.

Perhaps the idea is to make the public think the government is committed to the policy so campaigners can kick up a stink and accuse it of doing a 'U-turn' in the future (a tactic that has served activists well in the past).

As a snooker fan, I take this threat very seriously. The game was on life support after the Blair government banned tobacco sponsorship and now its new sponsors may soon be snatched from it. I have written about this for Cap-X.
 

The Government is currently undertaking a review of the Gambling Act (2005) and, according to a story on the front page of the Sunday Times yesterday, such a ban is being seriously considered by Boris Johnson’s supposedly libertarian, pro-business government. There is zero evidence linking gambling sponsorship to problem gambling, rates of which have remained flat ever since gambling advertising was legalised. There is also no evidence that gambling advertising has made children more likely to gamble; rates of underage gambling have fallen sharply in the last ten years. The argument for banning sports sponsorship by betting companies essentially boils down to this: people who don’t like gambling think there is too much of it.

Well, tough. Gambling is a legal activity and no one has ever been harmed by seeing the words ‘Dafabet’ or ‘BetVictor’ on the side of a stage. There will always be people who prefer not be reminded of activities of which they disapprove, but that does not justify censorship. It is true that a lot of football teams have the names of betting companies on their shirts these days, but this is probably a temporary phenomenon that will disappear when the online gambling market matures and consolidates. Even if it doesn’t, so what? It’s up to the clubs to decide who sponsors them, not the people watching the players who have been bought with the money and are having their season tickets subsidised by it.


Do read it all.