Novelist Hector Drummond decided to look at the annual death figures for England and Wales from the Office for National Statistics. This is what he found after graphing the numbers all the way back to the turn of the twentieth century.
The 2020 death figures on the right cannot even be considered a spike over the course of the century.
He explained his methodology in this post:
@gummibear737, a Twitter use who has been analysing COVID-19 data, has published a chart that confirms a hypothesis by Dr Michael Levitt:
Stockholm is the best population to test Covid theory whereby it was hit hard early and did not have lockdowns. Nobel Prize winner Dr Michael Levitt postulated that the virus burns out when it has infected 15-20% of the population. According to this, he’s right.
So what does this mean? Lockdowns were a waste of time and resources. Minimizing deaths just delays the inevitable. Those countries which were not hit are most likely to see continued spikes and outbreaks. Maybe less during the summer but a second wave later this year.
Laura Dodsworth interviews Alistair Haimes on Freethinking with Laura Dodsworth.
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Chart 1: COVID-19 was declining in Europe as of march. It was not growing exponentially
Chart 2: Sweden’s epidemic looks similar to the UK’s but they did not lock down.
Chart 3: Britain crossed the ‘magical R of 1’ line a few days before lockdown
Chart 4: COVID-19 deaths overlayed with the 2000 flu season
Chart 5: No spike after BLM protests
If social distancing made things better, we would expect a positive correlation on both of these graphs – in other words, earlier social distancing would lead to both earlier flattening of the curve and lower total deaths, meaning these points would all sit close to a diagonal line sloping up from left to right. Instead what we see is very little correlation at all, and what there is is negative. So early social distancing is either doing nothing or making things worse. This is likely because the virus spreads mainly in hospitals, care homes and private homes rather than in the community, so social distancing of the wider population beyond a basic minimum (washing hands, self-isolating when ill, not getting too close, and so on) has little impact.
There was no exponential growth in Covid-19 infections the UK. From the first days of the outbreak growth rates were in decline.
The following chart produced by financial strategist Alistair Haimes should put the above question to rest (compare it with the above chart).
The left hand side starts in March 2020 when the UK had had its first 300 infections and then stops at 10 April when Europe as a whole had reached a growth rate of zero or less. The chart is analogous to the above chart of interest rates. If you cannot distinguish the different colours and European countries don’t worry too much (UK is dark blue) as they all show the same overall pattern. The trends are all downwards, from start to finish.
[I]f you believe herd immunity is only reached at 60 per cent, you should be terrified at any loosening of lockdown. If you don’t, then you must reconcile antibody testing that says 80 per cent are still susceptible with the difficulty the virus seems to encounter in marching very far past 20 percent of the population.
That is the reconciliation my hypothesis achieves. I propose that there may exist forms of human resistance to this virus that don’t show up in Covid-19 antibody tests.
[I]n focusing on that Covid antibody test alone as indicating a pass-or-fail immunity, we could be overlooking important ways in which humans may be endowed with, or acquire, other kinds of resistance.
https://www.spectator.co.uk/article/why-has-coronavirus-fled-london-
The number of people claiming unemployment benefit in the UK soared to 2.1 million in April, the first full month of the coronavirus lockdown.
But the labour market is set to worsen, according to politicians and analysts, with Therese Coffey, Secretary of State for Work and Pensions, telling the BBC on Tuesday that the unemployment rate was likely “to increase significantly”.
About 8,000 more people have died in their own homes since the start of the coronavirus pandemic than in normal times, a Guardian analysis has found, as concerns grow over the number avoiding going to hospital.
Of that total, 80% died of conditions unrelated to Covid-19, according to their death certificates. Doctors’ leaders have warned that fears and deprioritisation of non-coronavirus patients are taking a deadly toll.
“There are really only two particularly unusual things about the Covid-19 epidemic: the timing of its arrival and the lockdown some countries declared.”
Deaths per day, as is well-reported, peaked around Easter; and because deaths lag infections by something around three weeks, this implies that infections peaked sometime in mid-March. If you add up all the bars in the chart and fill in the blank area of deaths still to come, we are looking at a killer that, in scale, is bad-but-nothing-special compared to killers of previous years. Panning out: as a killer worldwide, it looks as though Covid is going to take a toll perhaps 1% of 1918’s Spanish Flu.
…the dark blue line is 2019-20, with Covid-19; the turquoise and red lines are the bad flu years of 1998-99 and 1999-2000.
…Covid-19 is narrowly in third place as a killer to remember, behind the 1998-99 and 1999-2000 influenzas (2017-18’s ‘Beast from the East’, the green line, doesn’t place), a point also made by American statistician William Briggs.
The spread of COVID-19 is not going to follow an exponential curve – and grave errors will follow if analysts believe it will. The number of new cases rises rapidly, peaks, and then declines. It’s called the epidemiological curve. It’s not a theory or hypothesis; it plays out that way every flu season. It is how it has played out in China and Korea for COVID-19. Flattening the peak to avoid overloading the healthcare system is the main medical goal of the seemingly extreme containment policies we have seen to date.
https://voxeu.org/article/it-s-not-exponential-economist-s-view-epidemiological-curve
Tony Heller compares COVID-19 with other pandemics and explains why the lockdown may create an even more devastating second wave.
Medical professionals say there never was a surge, hospital activity is at a low and we’re in danger of losing our capacity to deal with the second wave because we panicked.
Felix Scholkmann is a biophysicist at University Hospital Zurich, University of Zurich, Switzerland.
Andrew Mather, a mathematician and financier based in the UK, explains how the official data clearly showed that the COVID-19 crisis was over in the UK before the lock-down.
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