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ONLY 388 people aged under 60 without underlying health conditions have died of coronavirus in hospitals across England, NHS data shows.
The figure is just 0.8 per cent of all Covid fatalities recorded in English hospitals between April 2 and December 23.
The Office for National Statistics said borrowing hit £31.6bn last month, the highest November figure on record.
It was also the third-highest figure in any month since records began in 1993.
Since the beginning of the financial year, borrowing to cover the gap between spending and revenues has reached £240.9bn, £188.6bn more than a year ago.
The independent Office for Budget Responsibility (OBR) has estimated that the amount could reach £372.2bn by the end of the financial year in March
Deaths within 28 days of positive test by date of death last updated on Sunday 20 December 2020.
NHS data still shows hospitals to be quieter than they were this time last year even as coronavirus’s second wave bites and the number of Covid patients approaches levels seen in the crisis’s peak in April.
Government forced to reissue key charts used to justify second lockdown after admitting projected fatalities were overstated
Official projections which pushed the country into a second lockdown have been quietly revised to no longer suggest deaths could soon overtake those at the peak of the first wave, The Telegraph has learned.
Matt Hancock, the Health Secretary, has gone back to Plan A, reviving his ‘protect the NHS’ message from March and now wears a facemask with those words on it. The Prime Minister is repeating the slogan. It’s deeply controversial with senior doctors who fear that it discourages the sick from seeking help – which might explain the 28,000 excess at-home deaths over the last few months. The NHS is worried about this and has countered with its own advert, urging people to seek medical help. I looked at this in my latest Daily Telegraph column.
The NHS has learned much from the first wave of Covid. PPE equipment, for example, is now in bountiful supply. Basic medical techniques – better use of blood thinners, oxygen therapy, steroids etc – are having a big impact on survival rates. When Boris Johnson went into intensive care, his survival chances were about 50 per cent. Now, they would be closer to 70 per cent. The trajectory this time is nowhere near as daunting – the below graph shows the rise of Covid patients needing critical care. As the data shows, intensive care unit (ICU) usage is 13 per cent of what it was at the end of March. (These figures are from the Intensive Care National Audit & Research Centre.)
https://www.spectator.co.uk/article/how-likely-is-the-nhs-to-be-overwhelmed-by-covid-
To judge from the evidence, the answer is clear: Mandated lockdowns had little effect on the spread of the coronavirus. The charts below show the daily case curves for the United States as a whole and for thirteen U.S. states. As in almost every country, we consistently see a steep climb as the virus spreads, followed by a transition (marked by the gray circles) to a flatter curve. At some point, the curves always slope downward, though this wasn’t obvious for all states until the summer.
…The evidence suggests, then, that the sweeping, mandated lockdowns that followed voluntary responses exacted a great cost, with little effect on transmission. We can’t change the past, but we should avoid making the same mistake again.
A USA TODAY analysis shows the state’s positive case count among kids ages 5 to 17 declined through late September after a peak in July. Among the counties seeing surges in overall cases, it’s college-age adults – not schoolchildren – driving the trend, the analysis found.
https://mises.org/power-market/medias-jihad-against-swedens-no-lockdown-policy-ignores-key-facts
In reality many of the people who died from Covid-19 were likely to die this year anyway, so in one respect this estimate is likely to be too high. In another respect it’s likely to be too low, as it will not include ‘lockdown deaths’, that is, the deaths from delayed cancer and heart treatments, and so on, but as I was interested in the effect of Covid-19 I didn’t want those in my graph anyway. (Another complication is that not everyone who is classed as a Covid-19 death actually died from it, but I decided to ignore this.)
The five year average for 2015-19 is 531,355 deaths per year. As of writing this there were 42,462 Covid-19 deaths in the UK. There are likely to be a few more deaths in the next few weeks, but not many more, as the disease is (barring an unlikely second wave in winter), on its way out. Besides, the number we are adding on here is for the whole of the UK, not just England and Wales, so if anything this number is inflated. That gives us 573,817 deaths for 2020. Then I got hold of the historical population figures for England and Wales, and calculated the death rates per 1000 from it, so that population increases are taken account of. Here is the result:
https://thecritic.co.uk/this-is-what-we-amputated-a-limb-for/
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.
Support Laura Dodsworth through Patreon:
https://www.patreon.com/lauradodsworth
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-
