“Intensive care units are getting empty, the wards are getting empty, we are really seeing a decrease — and that despite that people are really loosening up. The beaches are crowded, social distancing is not kept very well … but still the numbers are really decreasing. That means that something else is happening – we are actually getting closer to herd immunity. I can’t really see another reason.”
“I can’t say if the Swedish approach was right or wrong – I think we can say that in one or two years when we are looking back. You have to look at the mortality over the whole period.”
“I don’t think that we have more new cases, I think we are just detecting more cases”
“We found that if you have a mild case you can be negative for antibodies afterwards … in those almost all of them had strong T-cell activity. This study says that there are cases that you can have a strong T-cell response even though you have not had antibodies, meaning that you have encountered the virus and built up immunity.”
Such is the quality of decision-making in the process generating our lockdown narrative. An early maintained but exaggerated belief in the lethality of the virus reinforced by modelling that was almost data-free, then amplified by further modelling with no proven predictive value. All summed up by recommendations from a committee based on qualitative data that hasn’t even been peer-reviewed.
- According to Office for National Statistics, this year comes only eighth in terms of deaths in past 27 years.
- The spread of viruses like Covid-19 is not new. What’s new is our response.
- The whole Covid drama has really been a crisis of awareness of what viruses normally do, rather than a crisis caused by an abnormally lethal new bug.
- Modelling is not science, for the simple reason that a prediction made by a scientist (using a model or not) is just opinion.
- To be classified as science, a prediction or theory needs to be able to be tested, and potentially falsified.
- A problem with the current approach: a wilful determination to ignore the quality of the information being used to set Covid policy.
- Most Covid research was not peer- reviewed.
- In medical science there is a well-known classification of data quality known as ‘the hierarchy of evidence’: a seven-level system gives an idea of how much weight can be placed on any given study or recommendation.
- Virtually all evidence pertaining to Covid-19 policy is found in the lowest levels (much less compelling Levels 5 and 6): descriptive-only studies looking for a pattern, without using controls.
- Level 7 is at the bottom of the hierarchy (the opinion of authorities or reports of expert committees) because ‘authorities’ often fail to change their minds in the face of new evidence.
- Committees often issue compromise recommendations that are scientifically non-valid.
- The advice of Sage (or any committee of scientists) is the least reliable form of evidence there is.
Government must take urgent action to prevent even bigger crisis in future, charity warns
Lockdown has been devastating for mental health and the worst could be yet to come, a leading charity has said.
The mental health charity Mind says a survey has revealed that lockdown has had a dramatic impact on the nation’s mental health, warning that unless action is taken now, the problem could grow.
The really concerning thing is that if all the deaths taking place during lockdown are put down as Covid-19 deaths, we are going to miss the fact that the lockdown policies have caused an increase in deaths from many other things. There has been a 50 per cent reduction in people turning up to A&E. It is clear that people just do not want to bother the doctors. And a number of these people will be dying. If we muddle the Covid-19 statistics in with the other statistics, we might think the lockdown has prevented a certain number of deaths, when it has actually caused a large number of deaths.
You hear this idea that all NHS staff have been working 20 times as hard as they have ever done. This is complete nonsense. An awful lot of people have been standing around wondering what the hell to do with themselves. A&E has never been so quiet.
The chances of children dying from COVID-19:
How many people aged 15 or under have died of Covid-19? Four. The chance of dying from a lightning strike is one in 700,000. The chance of dying of Covid-19 in that age group is one in 3.5million. And we locked them all down. Even among the 15- to 44-year-olds, the death rate is very low and the vast majority of deaths have been people who had significant underlying health conditions. We locked them down as well. We locked down the population that had virtually zero risk of getting any serious problems from the disease, and then spread it wildly among the highly vulnerable age group.
It is not clear that getting the virus actually makes you immune to it in the future, and it is not clear a vaccine would either.
Professor Paul Dennis, a geologist and isotope geochemist at the University of East Anglia, compared the deaths in England, Sweden, Spain. He found near identical dynamics, which supports the theory that COVID-19 appears to follow the Gompertz curve in every outbreak region. This implies that social distancing and lockdown has no effect.
Prolonged periods of lockdown cocooning the public from germs could leave people dangerously vulnerable to new viruses, a leading epidemiologist has warned.
Sunetra Gupta, professor of theoretical epidemiology at the University of Oxford, fears intense social distancing could actually weaken immune systems because people are not exposed to germs and so do not develop defences that could protect them against future pandemics.
Government figures have revealed that lack of money forced millions of people to go hungry or rely on food banks during the first few weeks of the coronavirus lockdown, with families and young adults worst affected.
Households with children, people with health issues and people aged 16-24 were most likely to either to skip meals or use food charities to feed themselves or their family in April and May, the Food Standards Agency (FSA) data showed.
COVID-19 appears to follow the Gompertz curve in every outbreak region. This means that government interventions do nothing to stop the virus.
We demonstrate that universal scaling behavior is observed in the current coronavirus (COVID-19) spread in various countries. We analyze the numbers of infected people in selected eleven countries (Japan, USA, Russia, Brazil, China, Italy, Indonesia, Spain,South Korea, UK, and Sweden). By using the double exponential function called the Gompertz function, fG(x)=exp(−e−x), the number of infected people is well described as N(t)=N0 fG(γ(t−t0)), where N0, γ and t0 are the final total number of infected people, the damping rate of the infection probability and the peak time of dN(t)/dt, respectively. The scaled data of infected people in most of the analyzed countries are found to collapse onto a common scaling function fG(x) with x=γ(t−t0) in the range of fG(x) ± 0.05. The recently proposed indicator so-called the K value, the increasing rate of infected people in one week, is also found to show universal behavior. The mechanism for the Gompertz function to appear is discussed from the time dependence of the produced pion numbers in nucleus-nucleus collisions, which is also found to be described by the Gompertz function.
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.
Seeking medical help too late during pandemic was contributory factor in the deaths of nine children, Royal College research finds
Anders Tegnell, Sweden’s state epidemiologist, said he advised against such restrictions on movement because of the detrimental side effects they often entail.
“It was as if the world had gone mad, and everything we had discussed was forgotten,” Tegnell said in a podcast with Swedish Radio on Wednesday. “The cases became too many and the political pressure got too strong. And then Sweden stood there rather alone.”
It is official. No 10 is too entangled in lockdown spin to do what it takes to save Britain. For the sake of our ailing economy, political clarity, and basic scientific honesty, this was Boris Johnson’s moment to declare to the nation that the overwhelming evidence suggests lockdown was a mistake – and we must never lock down again.
The failure to take into account the impact of extreme measures that have become the norm inmany places in the Covid-19 pandemic has been stunning. The destruction of lives and livelihoods in the name of survival will haunt us for decades.
Today’s fear is fueled by four main forces:
1. Mathematical disease modelling – a flexible and highly adaptable tool for prediction, mixing calculations with speculations, often based on
codes that are kept secret and assumptions that are difficult to scrutinize from the outside.
2. Neoliberal policies –systematic disinvestments in public health and medical care that have created fragile systems unable to cope with the crisis.
3. Nervous media reporting – an endless stream of information, obsessed with absolute numbers, exploiting the lack of trust in the healthcare infrastructure and magnifying the fear of collapsing systems.
4. Authoritarian longings – a deep desire for sovereign rule, which derives pleasure from destruction and tries to push the world to the edge of collapse so that it can be rebuilt from the scratch.
Flaxman et al. (Nature, 8 June 2020, https://doi.org/10.1038/s41586-020-2405-7, 2020) infer that non-pharmaceutical interventions conducted by several European countries considerably reduced effective reproduction numbers and saved millions of lives. We show that their method is ill-conceived and that the alleged effects are artefacts. Moreover, we demonstrate that the United Kingdom’s lockdown was both superfluous and ineffective.
Researchers found school closures had little effect on preventing coronavirus transmission compared to that of the flu.
Under-20s are half as likely to catch COVID-19 as over-20s, making school closures less effective at stopping the spread of the virus, a new scientific study has found.
Researchers at the London School of Hygiene and Tropical Medicine found that susceptibility to the coronavirus was low for younger people, before increasing around the age of 20.
The results are now in. Lockdowns are toxic for a world in which people travel to work on buses or commuter trains, spend eight hours with their colleagues at the office, spend their lunch hour doing a bit of shopping, and head off in the evening to the pub, the theatre or the football.
The sad but unavoidable fact, that the disease is little danger to most young and healthy people but is especially deadly to the old and ill, is also now beyond dispute…
The ceaseless assumption of the Government and the BBC that the shutdown ‘protected’ the NHS is simply not borne out by any facts. The NHS was never going to be overwhelmed. Covid deaths in this country peaked on April 8 – an event far too soon to have been caused by the shutdown announced on March 23 and begun the following day.
In fact, the country with the highest number of deaths per head is Belgium (843 per million). Yet Belgium introduced one of the tightest and most severe shutdowns on the planet. Sweden, without a shutdown at all, has suffered 472 deaths per million.
The UK figure of 620 per million may be inflated by our lax recording methods but hardly suggests that we did better than Sweden by throttling our economy and grossly interfering in personal liberty. Japan, which also did not shut down, suffered just over seven (yes, seven) deaths per million…
I believe that forces hostile to our country, its history and nature, have seen this as an opportunity. Probably incredulous to begin with, they realised the British people really had gone soft, accepting absurd and humiliating diktats, believing the most ridiculous claims.
In June 2020, The Office for National Statistics released their Gross domestic product (GDP) report for April 2020. They calculated that GDP fell by 10.4% in the three months to April. This was directly caused by the UK government’s policy of lockdown.
One of Germany’s most prominent virologists has said the country’s lockdown was unnecessary to defeat the coronavirus.
“We went into lockdown too quickly because the prevailing concern was that there might not be enough intensive care beds and that there was pressure from the public,” Prof Hendrik Streeck said.
“We are seeing a lot of asymptomatic cases, that is infections with no consequences. This means we can assess the danger from the virus better. I still don’t believe that at the end of the year we will have had more deaths in Germany than in other years.
Britain is trapped in lockdown purgatory. In Liverpool, where I live, we are back to square one, with an “R” rate estimated to be hovering at or just over 1. That means the vast majority of people have been staying indoors, not sending their children to school, or seeing their friends and family for nearly three months, only to find that coronavirus, and the risk of transmitting it to others, is still in circulation. Now what?