The Invisible War

Donald Trump, Boris Johnson and Emmanuel Macron, along with many other world leaders, have all described the plight we are in and the peril we face as fighting a war, just against an invisible enemy. To my knowledge this has been the only truthful thing which has escaped the lips of the leading choir in what has been a global chorus of mendacity.

War and invisible. Remember these words. In a series of articles, I will debunk the coronavirus scare, purport to show why it is happening, the mechanics of how, dissect what and who is responsible, and crucially, what we can do about it. Though the narrative presented will be linear, each part is self-contained and can be read amputated from the body of argument.

Part 1 – Tyranny by numbers

“There are three kinds of falsehoods, lies damned lies and statistics”

– James Arthur Balfour


  • Every single case thus far has not reliably tested positive for any infectious disease; the test in question is a non-binary test with an arbitrary threshold which merely identifies DNA material common to a family of viruses classified under the rubric of coronavirus;
  • Because this test is not looking for the entire sequence of COVID-19, merely a nucleate common to all coronaviruses;
  • We all have this DNA material in our bodies. The human body houses around 380 trillion viruses, with one of the most common types being the coronavirus;
  • Authorities are conflating every respiratory condition with COVID-19;
  • Coronavirus deaths in at least 6 different countries are being inflated by extraordinary new audit practices;
  • The official COVID-19 numbers are completely meaningless;
  • In the countries listed, all-cause mortality is consistent with the averages in previous years. In the UK deaths are now being counted more than once;
  • Alarmist models that predicted significant excess mortality have all been withdrawn;
  • The lockdown is catastrophic for public health.

Some necessary background. The common cold and influenza, aka the common flu, are viral infectious diseases. Hundreds of known viruses cause the diseases which fall under the common cold and influenza umbrellas. The main difference, although there is a degree of overlap, is that the common cold is typically a milder respiratory illness than influenza. The Centers for Disease Control and Prevention (CDC) distinguishes the two here. The type and severity of symptoms varies on a case by case basis.

Both the common cold and influenza can be caused by viral strains that can transmit from animals to humans. The World Health Organization (WHO) states that Coronaviruses are “a large family of viruses that may cause illness in animals or humans”. Two examples: ‘HCoV-229E’, which is described as one of the viruses responsible for the common cold; and ‘HCoV-NL63’, which a recent study estimated to be present in 4.7% of common respiratory illnesses.

Dr Wolfgang Wodarg, a prominent professor of pulmonology in Germany and former Chairman of the Parliamentary Assembly of the Council of Europe, has estimated that about 5-14% of all flu and common cold cases are caused by existing coronaviruses. SARS-CoV-2 is a novel strain. COVID-19 is the disease this strain can, but not necessarily, will cause.

The first coronavirus was discovered in the 1960s. But they have been circulating for time unknown. Perhaps forever. For example, though only discovered in 2004, it is thought ‘NL63’ mutated from ‘229E’ about 1,000 years ago. So, science is far behind nature in terms of detection.

Current science can’t even test for the presence of the novel SARS-CoV-2 virus or its disease in the sense that it can’t reliably differentiate it from other coronaviruses. It is assumed that science has established that COVID-19 is an infectious disease under Robert Koch’s 4 postulates and subsequent adaptations, such as the Bradford Hill Criteria – identify and isolate biological matter in a petri dish and demonstrate a causal link between a presumed cause and an observed effect (this has in no way been publicly demonstrated) – but the tool medical professionals are using to test for the disease does not distinguish between coronaviruses and it does not determine whether someone is infected by a coronavirus.

The test in question, the Polymerase Chain Reaction (PCR), looks for a piece of nucleate in the body by magnifying biological material and tries to match that biological material to a coronavirus nucleate. The test is based upon a formula for DNA magnification, and the concept of “reiterative exponential growth processes”.

“PCR detects a very small segment of the nucleic acid which is part of a virus itself. The specific fragment detected is determined by the somewhat arbitrary choice of DNA primers used which become the ends of the amplified fragment”

– Kary Mullis, inventor of the PCR test
Kary Mullis 1944-2019 (left), receiving the Nobel Prize in Chemistry

The inventor of the PCR test, Kary Mullis, the winner of the Nobel Prize for Chemistry in 1993, emphatically argued against using PCR as a diagnostic tool. Because it is, in his words, a qualitative and not a quantitative test – “Quantitative PCR is an oxymoron”. The results are entirely contingent on the level of multiplication.

For example, the official American version of the PCR COVID-19 test, which is named with characteristic technocratic drivel – the CDC 2019-nCoV Real-Time RT-PCR Diagnostic Panel – uses what is called a “Real-Time” modification of PCR, described as a “major development of PCR technology that enables reliable detection and measurement of products generated during each cycle of PCR process”. But the “threshold is an arbitrary level of florescence chosen on the basis of the baseline variability”. And “Threshold can be adjusted for each experiment so that it is in the region of exponential amplification across all plots.

In other words, the degree of amplification is discretionary. And the degree of amplification, of course, will ultimately be the deciding factor in the end result. Hence Mr Mullis’ – and many others – impassioned pleas for it not to be used as a diagnostic aide.

Though it is an indispensable technique with a broad variety of applications, such as biomedical research and criminal forensics, it is unreliable in terms of establishing infection. Because it is non-binary and relies upon formulas with arbitrary thresholds of magnification. It doesn’t reliably distinguish between positive or negative, like with a pregnancy test. It doesn’t determine whether you have something or you don’t. I suggest this is why so many asymptomatic people are testing positive for this ‘disease’. They are not infected. They merely have slightly more of this DNA material than others.

Indeed, depending on degree of amplification, everyone, irrespective of condition, can test positive or negative with the PCR test. Because practically everyone has these DNA strands in their bodies. Astonishingly, the PCR test is not looking for the entire sequence of COVID-19, merely a nucleate common to all coronaviruses. Quite remarkable when you consider that the human body contains around 380 trillion viruses, with one of the most common types being the coronavirus. The ‘NL63’ coronavirus strand alone, remember, is present in significant quantities in up to 5% of all respiratory illnesses.

Whatever your preferred origins theory, our immune system is perfectly calibrated to operate in this environment. It is adapted to co-exist with viruses and other parasitic biological material. Viruses actually work with the immune system to keep us healthy. Infection only occurs when a virus starts to use our own cell machinery to replicate itself, and the immune system is unable, at least initially, to supress that viral replication. Symptoms then develop when the immune system attacks the pathogen and by doing so, attacks all the tissues the virus is in, damaging cells in significant quantities. This is when a virus triggers an inflammatory response – an infection.

But just testing for the existence of piece of nucleate in the body by magnifying biological material and then trying to match that with a coronavirus nucleate does not establish infection. And it certainly does not establish whether it is contagious. And I must repeat, the test doesn’t even look for the entire COVID-19 sequence, only a nucleate common to all coronaviruses, which we all have in our body in very small quantities. Amplify the DNA material enough and everyone tests positive.

According to one paper this degree of amplification has an “indeterminate” range. So, it’s quite possible that different hospitals across the world are all using different sensitivity standards of the PCR coronavirus test. Because being “indeterminate”, there is no gold standard. Indeed, the WHO has left the diagnostic specifications to the discretion of the medical practitioners. Not just with the PCR test, which is merely one of two diagnostic codes they have set.

The second diagnostic code, as dictated by an organization with all the gravitas of having World in its name, is that well, if it sort of looks like COVID-19, you can diagnose it as COVID-19. Quite extraordinary. COVID-19 symptoms, of course, are so generic as to be completely indistinguishable from a huge number of other respiratory illnesses.

The WHO has stated that those who have had the ‘infection’ are not immune from re-infection. Which begs the question, if you had the infection and were cured, why didn’t your body develop the antibodies to stop you being re-infected? Perhaps because that would mean you wouldn’t need some mandated medicine in the form of a magic concoction called a “vaccine”? I digress. But it is self-evident that a positive diagnosis does not establish any positive coronavirus infection. Least of all, a COVID-19 infection. And this is actually tacitly admitted in WHO’s bizarre claim that those who have been ‘infected’ can be re-infected by the same viral strain.

Kevin Ryan’s excellent blog, ‘Dig Within’, reported that a peer-reviewed study about the first COVID-19 cases was published in the Chinese Journal of Epidemiology on March 5th, 2020. Its data-driven conclusion was that “nearly half or even more” of patients testing positive for SARS-COV-2 did not actually have the virus. Therefore, half the results were false positives. The study was later mysteriously withdrawn a few days after publication. It was apparently, according to the lead researcher, a “sensitive matter”.

Another study out of China, which is still available online, though the English abstract has now been withdrawn from the PubMed database, found that up to 80% of asymptomatic people who tested positive for coronavirus were false positives.

Remember, there are people who have tested dozens of times for this ‘disease’, test negative every time, then eventually test positive, in what is a non-binary test, and all the negative tests don’t matter, the positive test is definitive. The extent of the quackery here is truly something to behold.

This is not some abstract point. Some major public policy decisions are being made on the back of an inherently flawed ‘diagnostic’ tool. Soberingly, the second in command of the the WHO, Michael Ryan, has suggested that individuals could even be “removed” “dignifiedly” from their families and quarantined should they test ‘positive’. And the test is not the only enumerator. Authorities have given themselves the mandate, with the full support of WHO, to conflate countless respiratory illnesses with COVID-19 from only a vague account of the symptoms. As we know, there are no trademark clinical features of a COVID-19 infection.

As if the testing is not bad enough, official coronavirus fatality figures are being accidently or more likely, deliberately padded by authorities across the globe by questionable and unprecedented practices.

There is a phrase you may be hearing in the media a lot of at the moment: “she/he died after testing positive for coronavirus”. Not, “as a result of” or “because of”, but “after testing positive”. The official guidelines across 5 jurisdictions provide some context to this peculiar framing of words.

For example, the worst affected country in Europe is said to be Italy. But the Italian Institute of Health (ISS) surveyed the first several hundred COVID-19 deaths in northern Italy and concluded that “maybe 2-3” of those first several hundred deaths were caused by COVID-19. And the survey wasn’t sure about one of those “2-3” because apparently their history “wasn’t available”.

A more recent official report from Italy has surveyed thousands of coronavirus deaths. The average age of people dying in Italy from coronavirus is 81 – 82 is the national average – and 99.2% have at least one co-morbidity. Most have multiple co-morbidities. Professor Walter Ricciardi, advisor to the Italian Minister of Health, explained these statistical curiosities were caused by the “generous” way the Italian government has been tabulating coronavirus deaths:

“The way in which we code deaths in our country is very generous in the sense that all the people who die in hospitals with [my emphasis] the coronavirus are deemed to be dying of the coronavirus”.

In other words, the Italian government does not differentiate between those who have been killed by a coronavirus and those who merely have any coronavirus in their body (but not necessarily infected).

In case there is any lingering doubt about this the President of the Italian Civil Protection Service made the following comment about Italian fatality figures in a morning briefing on 20th March:

“I want you to remember these people died with the coronavirus and not from the coronavirus”

The German health agency is engaged in a similar practice. The President of Germany’s Robert Koch Institute confirmed on the same day that Germany counts:

“Any deceased person who was infected with coronavirus as a COVID-19 death, whether or not it actually caused death”

In the US they are not even confining confirmed cases to a ‘positive’ test. This briefing note from the CDC’s National Vital Statistics System states:

“It is important to emphasize that Coronavirus Disease 19, or Covid-19, should be reported for all decedents where the disease caused or is [my emphasis] presumed to have caused or contributed to death”

The picture is the same across the UK. Northern Ireland’s HSC Public Health Agency defines a COVID-19 death as:

“Individuals who have died within 28 days of first positive result, whether or not COVID-19 was the cause of death”

In England and Wales, the Office of National Statistics (ONS), on account of a “rapidly changing situation”, have reserved the right to include COVID-19 deaths “in the community” in their statistics. Including “those not tested for COVID-19” and where “suspected COVID-19 is presumed to be a contributory factor”.

Not only for cases “in the community”, the official guidelines are leaving the door open for practitioners to list COVID-19 as a death even when a patient has not tested ‘positive’ (in a non-binary test that doesn’t distinguish between COVID-19 and DNA material we all have in our bodies). Here is the official NHS guidance for doctors filling out death certificates:

“If before death the patient had symptoms typical of COVID19 infection, but the test result has not been received, it would be satisfactory to give ‘COVID-19’ as the cause of death, and then share the test result when it becomes available. In the circumstances of there being no swab, it is satisfactory to apply clinical judgement”

Before recent changes to the law any death attributed to a “notifiable disease” had to be referred to a coroner. This would have included COVID-19 cases. But the Coronavirus Act 2020 alters the Coroners and Justice Act 2009, to specifically exempt COVID-19 deaths from jury inquests.

And it gets worse. According to the office of the Chief Coroner, the new legislation means that these deaths do not have to be referred to a coroner at all. (Page 3):

“….there will often be no reason for deaths caused by this disease to be referred to a coroner”

The Coronavirus Act 2020 means that any deaths wrongly attributed to COVID-19 will never be corrected. It gives medical practitioners the power to sign off a cause of death for a body they have never seen, provided they “suspect” COVID-19 after using their “clinical judgement”.

There’s a pandemic! COVID-19 is everywhere. But under such prejudicial testing conditions, and diagnostic practices, it of course will be. The official figures across the world, whether confirmed cases or confirmed deaths, are at best, statistical noise, which do not even have the merest semblance of reality, and, at worse, are a very dishonest and devious attack on public health and well-being.

Indeed, the data demonstrates there have been a huge number of coronavirus deaths in Italy, Germany and US this year but in proportion to there being far fewer deaths from other causes. It’s the equivalent of saying we are inundated with a flood of new people named ‘Roberto’, ‘Jurgen’, ‘Brad’ etc after renaming 5% of those populations respectively. It is merely a re-tabulation of deaths which would likely have happened anyway.

From Centers for Disease Control and Prevention (CDC). As the coronavirus cases are said to be soaring, there have been a curious drop in pneumonia cases in the US this year. The starkest example of many. More here.

In England and Wales, there isn’t a huge drop in deaths from other causes primarily because in the Office of National Statistics (ONS) weekly audit deaths can have more than one cause:

“Note: Deaths could possibly be counted in both causes presented. If a death had an underlying respiratory cause and a mention of COVID-19 then it would appear in both counts”

Clearly, given the statistical chicanery at play for all matters pertaining to COVID-19, in which it seems quite impossible to glean anything of value, what is especially significant is the all-cause mortality figures. They make for interesting reading.

EuroMomo, a central database which publishes “all-cause mortality levels [per country] for 24 European countries”, including Italy, Spain and France, reports no additional deaths over the last few weeks in almost all countries compared to previous years, and no significant increase in Italy.

The EuroMomo database addresses this anomaly in a weekly bulletin:

“The mortality figures for the most recent weeks must be interpreted with some caution. Although increased mortality may not be immediately observable in the EuroMOMO figures, this does not mean that increased mortality does not occur in some areas or in some age groups, including mortality related to COVID-19”.

What an extraordinary statement. Where overall mortality figures haven’t increased, if they have significantly increased in some areas and in some age groups, it must mean they have significantly decreased in other areas and in other age groups. So, if COVID-19 has caused a public health crisis in some sections of society the likes of which we haven’t seen for generations, that must also mean that COVID-19 has been absolutely fantastic for the health of other sections of society the likes of which we haven’t seen for generations. In other words, the explanation is total nonsense.

This week (week 15) there has been an increase in the EuroMomo figures in some areas, but we should definitely “interpret” this sudden rise in all-cause mortality with “some caution”.

All-cause mortality weekly comparison for England and Wales courtesy of the ONS

As the graph shows, up until week 13 the overall deaths recorded in England and Wales was quite normal. Then in week 14 there was a sharp increase, the highest weekly total recorded in 10 years, and hugely unusual for this time of year. Definitive proof of a public health crisis? Well, in a word, no.

For the last 10 years the ONS has counted, not the number of people who die every week, but the number of deaths registered per week. This obviously leads to some delay in the accurate audit of numbers as the registration process can take more than a few days.

In week 12 the ONS made a special mention of COVID-19, explaining that because of a national health ‘emergency’ and a “rapidly changing situation” it will change the way it will report the numbers in future weeks:

“To allow time for registration and processing, these figures are published 11 days after the week ends. Because of the rapidly changing situation, in this bulletin [my emphasis] we have also given provisional updated totals based on the latest available death registrations, up to 25 March 2020. These deaths will be included in the dataset in a subsequent week

This amendment to the procedure, which did not exist at any time prior to week 12 this year, gives the ONS scope to count the same deaths twice – provisional deaths the previous week “will be included in the dataset in a subsequent week”. It explains the big jump in deaths.

Naturally, the media made no mention of this change to the ONS methodology of collating data when it reported the huge spike in deaths. There were only hysterical reports replete with statistical gibberish terrifying the public afresh with yet more fearmongering. A common theme. Though it may be hard to imagine, apparently as a class, journalists can’t read or, at least, don’t bother reading.

Frankly, the true number of overall deaths are, at this stage, anybody’s guess. In the UK – everywhere for that matter – the goal posts are constantly changing like shifting dunes in a desert. But what we can say is that the numbers are a pure political product; they are judgement calls completely unrooted from sound empirical data.

In fact, it is certainly questionable whether there is a public health crisis at all. Despite a daily deluge of public statements from Health ministers, the ongoing media hysteria, and unverifiable and unsubstantiated testimony, there’s every reason to suspect that hospitals are not overflowing. Many citizen journalists, in the absence of investigative work from the cartel of media organisations which dominate ‘news’ dissemination, have shown discrepancies between the official line and local hospitals.

Fresh reports are emerging in the UK of “sinfully empty” private hospitals, which have been commandeered for specialist COVID-19 use by government mandate. Furthermore, London’s “underused” specialist unit Nightingale Hospital, purpose built for the COVID-19 outbreak, had, according to a recent leaked report, 19 active patients over the Easter weekend in a facility with 4,000 beds.

Now, if I had to say which was telling the truth about society, a speech by a minister of health or the actual activity in the hospitals, I should believe the hospitals. And we shouldn’t conflate that activity with mainstream media’s reports of that activity. The two are not the same. In times of ‘war’, the media are no strangers to total fabrication, especially when it comes to charting worthy victims who support a governmental position.

If the empirical data is so suspect, both the diagnostics – which can’t reliably determine infection and can’t distinguish COVID-19 from some of the most common infectious diseases – and the fatality figures, then how are we to trust the mathematical models and their alarming projections which precipitated this entire crisis? Well, we can’t. Because, remarkably, they have already been withdrawn.

Several days before the UK went on lockdown COVID-19’s status as a high consequence infectious disease (HCID) was downgraded by the government. Not upgraded but downgraded. The government’s extraordinarily heavy-handed approach of enforcing an open prison, coincided with the government saying: “As of 19th March, COVID-19 is no longer considered to be a high consequence infectious disease (HCID) in the UK”. Yes, you did read that right.

Dr. Anthony Fauci, a veritable giant among men in the field of immunology, the director of the National Institute of Allergy and Infectious Diseases, and one of the lead members of the White House Coronavirus Task Force, has stated that the virus could kill millions of US citizens. But recently he’s had this article published in the New England Journal of Medicine. He slyly states: “….the case fatality rate may be considerably less than 1%. This suggests that the overall clinical consequences of Covid-19 may ultimately be more akin to those of a severe seasonal influenza”. In other words, it’s not anywhere near as serious as what his public statements have led us believe; public statements uniform with the grim outlook upon which the current draconian measures are being based.

The key US model has since been revised down and now ‘predicts’ 60,000 deaths. On mathematical models themselves Dr. Fauci had this to say to Fox News on 11th April:

“I am somewhat reserved and skeptical about models because models are only as good as the assumptions that you put into the model. And those assumptions start off when you don’t have very much data at all or the data you have is uncertain, you put these assumptions in and you get these wide ranges of calculations of what might happen….but then you start to accumulate data….data, in my mind, always trumps any model”

Dr. Fauci very helpfully confirming what all of us unqualified idiots already knew. Models are not worth the paper they’re written on.

Dr. Neil Ferguson, the Professor behind Imperial College London’s study that UK government strategy has been predicated upon, as well as other governments around the world, also admits he got it wrong. I’ll repeat that. The professor of the study instrumental in the current lockdown has remodelled the data and concluded that they got it wrong. Not a bit wrong. Not somewhat wrong. Not even largely wrong. According to Dr Ferguson’s new model they got it 98% wrong. It’s been scaled back to about 2%-4% of the original findings. He said that experts are now expecting around 20,000 deaths in the UK, although it may even turn out to be “a lot less” than this, rather than the 500,000 deaths originally predicted by the study.

20,000. Where have we heard that before? Ah yes. That’s roughly around the average deaths in England and Wales alone (18,000) every year from the common flu (bottom of page 51). The common flu, an illness caused by viral strains that the official COVID-19 test can’t differentiate COVID-19 from. (Incidentally, the revised US figure of 60,000 is also the typical fatality rate of the common flu).

The study’s retraction has quietly gone through the news media (in a country that’s currently in lockdown largely as a result of its predicted model) without so much as raising an eyebrow. To point out the significance of this retraction, other studies, like the one commissioned by Oxford University, have run models estimating that 50% or more of the population have already had the virus. Which would obviously completely debunk the lethality of the virus (that’s really quite apparent anyway) and render the lockdown egregiously unnecessary; implemented only on the basis that over 99% have yet to contract the virus.

Dr. Ferguson has since taken to Twitter to clarify the revision. Essentially, but for the extreme controls enacted by the UK government the figure could be a lot higher than the revised total.

Could. Is there a word in the English language more loaded with hidden mischief? What Dr. Ferguson and extremely well-funded members of his profession (Ferguson’s department at Imperial College London received a $79 million donation from the Bill and Melinda Gates Foundation this year alone – more on this in future articles) are basically presenting is an unfalsifiable position. If it weren’t for our recommended measures the situation would be far worse. Of course, there’s no way of verifying this. Though it is couched in scientific jargon, it is in fact decidedly unscientific, as it is divorced from experimentation and evidence.

For example, there’s no evidence the lockdown is even an effective strategy to combat the spread of the virus. Countries with fewer restrictions or no restrictions, such as Sweden, are faring better than countries who have established an open prison. As of 23rd April, the official UK coronavirus deaths are 18,738 and Sweden’s are 2,021. The UK population is about 6 times larger than Sweden’s (approx’ 67 million to 11 million). Meaning there are less deaths in Sweden per capita than in the UK. Sweden is a very urbanized country, so a more sparsely populated territory doesn’t explain the discrepancy. That’s not to legitimize the numbers, they are, as demonstrated above, total bunk, but even by the official figures, the imposition of a lockdown is highly suspect.

Could is certainly the favourite weapon of those whose business is fear. What is human history but thousands of years of people being entrapped by a form of bio-debt, created by those who simulate every conceivable thing that could happen, yet hasn’t? It seems to me that current science here is effectively the secular version of a very old scam, perpetuated generation after generation by those who wish to control the rest of society. Create a scare and then save people from that scare. The capricious serpent god will come down and swallow the sun unless we do some magic ritual and save everyone. The mechanics of this is no different.

We must sacrifice the economy in order to save us from the virus”

While a new dawn will always rise in the east, Farr’s Law states that “the curve of cases of an epidemic rises rapidly at first, then climbs slowly to a peak from which the fall is steeper than the previous rise”. Both phenomena occur irrespective of human intervention. But in both cases human intervention is presented as the causal factor, bereft of any empirical support.

The irony is that those who are so eager to reject religion as superstitious hogwash are invariably the first in the queue to sign up for scientific catastrophizing. For these people it is considered objectionable if religion encroaches on personal freedoms, yet when science does the same, they embrace the restrictions, never querying the saintly priestly class in lab coats. They never question their financial incentives, because naturally, these people will never have any reason for skewing results or for making anything hyperbolic and alarmist in order to scare people into accepting various policies, except of course for all the times when they have demonstrably done exactly that.

Thus far, COVID-19 is doing a much better job of attacking our liberties than attacking our bodies, with the body politic succumbing to the disease, as intended. Speaking of which, without a shred of irony, The Guardian described the Belarusian president, who has kept business going as usual in Belarus because, in his words, “this is just the flu”, as a “dangerous authoritarian”. Meanwhile, in the UK little old ladies are being pursued by drones, are shamed by the police for walking their dogs alone in national parks and are barked at to stay at home.

Lest we forget how beneficial fresh air is for the lungs. You don’t need to read many classic Russian novels to know how it is a great antidote to respiratory illness, which is why sanatoriums were in the countryside or the mountains, with consumptive patients (TB) kept largely outside. In a world of lies reality is often inverted to such a point where the truth is considered an aberration.

The public are on lockdown, yet airports remain open, with people coming in from supposed crisis spots without being molested. Airports are a breeding ground for illness. In a country on lockdown, passenger travel, especially from highly infected regions, would be suspended or rigorously monitored. The authorities are therefore either lying about the level of emergency, they’re completely incompetent or both.

It’s yet another incongruity. But this isn’t unusual. A dysfunctional society is forever teeming with incongruities. Because there are many ways of telling a lie, but only one way of telling the truth.

I’m not saying there is no novel virus because there are novel viruses every year. I’m not even saying that this virus isn’t a nastier strain of the more common variety, though that argument can definitely be raised. But clearly there must be a damned good reason for shutting down a country. There’s nothing in the official data that comes anywhere close to justify this approach, alarmist studies full of mathematical masturbation have since been slyly retracted, and the World Health Organization’s 3.4% estimated mortality rate is an outrageous lie.

But what do you expect from an organization with a former Marxist revolutionary as a Director-General? Tedros Adhanom Ghebreyesus, whose career highlights include covering up a cholera outbreak in Ethiopia, and nominating Zimbabwean president, Robert Mugabe for a humanitarian award. Award-winning journalist, Reeyot Alemu wrote in 2017 that “[He is] one of the top human rights violators making life miserable to the people of Ethiopia”.

All of this is being done in the interests of public health. Which begs the question, when has power ever shown so much concern for public well-being? If it did, it would shut down the fracking industry, permanently; 5G installation, which is apparently classed as “essential” work because masts are surreptitiously being erected in countries on lockdown, would be halted until studies could show it was a safe technology; fluoride would no longer be added to the water supply; clean and organic food production would be supported.

The effects of shutting down the economy, on a private level and at a national health level, are absolutely devastating. Services require funding. If the country is not generating wealth – this really is rudimentary – in the medium to long term the system will be debilitated, and that will lead to catastrophic consequences the economists are already ominously describing as “the greatest depression”. The destruction is incalculable.

In the UK, a government report estimated that 150,000 deaths could result from the shutdown, which is significantly more deaths than the government’s revised total for COVID-19. Though we’ve discovered that government forecasts are often spurious and drafted by errand boys and girls taking orders from above, this report’s predictions are at least grounded in extraordinary circumstances that will have consequences, as opposed to merely claiming the circumstances are extraordinary.

The notion that governments care about public health is simply preposterous. Fear induces stress which is one of the main inhibitors of the immune system, our number one tool in counteracting viral replication and staying healthy. When a threat is perceived cortisol is secreted by the adrenal gland and this triggers the body’s fight or flight response. Blood is pumped away from the core to the peripheries – the arms and legs. When this happens regularly the body’s energy is unevenly distributed, suppressing the normal functioning of the immune system. The truth is that terrorizing the public hourly with tall tales of bogeymen and pathogens is a bio-attack.

The number one cause of good health and longevity? According to a study published in 1988, it is physical interaction and outside activity. Social isolation was found to be worse than high blood pressure, worse than obesity, worse even than smoking. Dr. Steven Cole’s research with monkeys paints a similar picture. When you socially isolate monkeys, at the gene expression level, genes that are inflammatory are upregulated, and genes that are anti-inflammatory are downregulated. The research found that social isolation in monkeys and humans leads to an increased chance of viral infection, cancer, and other diseases. Everything in this world is upside down.

“Hang on, Eddie’s Blog isn’t an accredited source. And just who is Edward Black and what qualifies him to have his say? I’ll listen to the experts, not some random blogger on the internet”. Every fallacy is largely based upon assumption and this is no different. It’s the assumption there is a consensus among the experts, and, in the absence of a large consensus, that the political economy is faithfully following the best advice. There are no grounds for making either assumption. Who I am is also irrelevant. Rationale and evidence are relevant. Though proven expertise is a good starting point, what matters is the end point. The Truth is not discriminate of starting points, which are manifold, but it is discriminate of an end point, which is singular. What you’ll find is that typically, those interested in pursuing Truth, play the ball, those who are not, play the man.

Here is an excellent compilation of experts who have vehemently disputed current policy from the outset, and here is another compilation. They are more erudite and eloquent on the matter than I could ever be.

“We are afraid that 1 million infections with the new virus will lead to 30 deaths per day over the next 100 days. But we do not realise that 20, 30, 40 or 100 patients positive for normal coronaviruses are already dying every day….

(The government’s anti-COVID19 measures] are grotesque, absurd and very dangerous […] The life expectancy of millions is being shortened. The horrifying impact on the world economy threatens the existence of countless people. The consequences on medical care are profound. Already services to patients in need are reduced, operations cancelled, practices empty, hospital personnel dwindling. All this will impact profoundly on our whole society.

All these measures are leading to self-destruction and collective suicide based on nothing but a spook” 

– Dr. Sucharit Bhakdi. A former professor of microbiology at the Johannes Gutenberg University in Mainz and head of the Institute for Medical Microbiology and Hygiene, and one of the most cited research scientists in German history.

I started with this astute quote attributed to James Arthur Balfour: “There are three kinds of falsehoods: lies, damned lies and statistics”. On the whole I think this is largely true. Standing on the shoulders of his insight, I’ll humbly add there are three kinds of liars: standard liars, damned liars and politically approved experts.

They’re soldiers for a global technocratic system. Soldiers in the real invisible war.

Part 2 – The Real Invisible War

The Coronavirus: An Analysis of the Data

The novel Coronavirus, aka SARS-CoV-2, has completely saturated the airwaves of the world’s mass media in recent weeks and months. As ever, governments and the corporate media appear to be fathoms ahead of the actual story. But that’s alright. Because those who are paraded before us know that they’re often afforded total impunity to say and do as they please. If they incite hysteria, so be it.

Let’s apply some basic logic to this ongoing farce. Reports of this lethal virus first emerged from China back in late December. But by then, of course, it was very likely to have been spreading through the population undetected for several weeks and months. Because experts have claimed that:

  • This novel strain has an incubation period of up to 3-4 weeks;
  • About 80.1% of those infected will experience only mild symptoms;
  • Up to 20-30% of people infected will be asymptomatic;
  • Asymptomatic carriers can still infect others;
  • It would obviously take a number of serious cases in an identifiable cluster before the local health authority would have suspected anything unusual.
  • Allow for the usual delay for testing, results, conferring with higher orders, and so on and so forth.
  • We should also allow for the inevitable delay of the Chinese authorities admitting to the wider world that its population is being ravaged by a pathogen it’s struggling to contain.

A conservative estimate, then, would be that at least 4 months have passed since first transmission.

The World Health Organization (WHO), its virologists and medical experts, and those from affiliated organisations, repeatedly tell us that this virus is highly contagious, far more so than just the ordinary flu. And that it’s deadly. Researchers and public health officials determine how contagious a virus is by calculating a reproduction number, or R0. The R0 is the average number of people that one person will infect, in a completely non-immune population. WHO believes the R0 to be around 2.5. And of those infected, they estimate the mortality rate to be 3.4%, with risk increasing with age and for all those who have, for whatever reason, compromised immune systems. But if the WHO’s figures are correct, as of early to mid-March, we would surely expect to see more cases of COVID-19 and more deaths.

Wuhan is a travel and trade hub of 11 million people. In 2018 Wuhan Tianhe International Airport served about 25 million passengers. It was shut down by the authorities on January 22nd. So, in those key months at the onset of community transmission, millions of passengers were travelling unrestricted from the outbreak’s epicentre to all 4 corners of China, and to destinations in neighbouring countries and major airports around the world. This at a time when traffic was higher than usual on account of the Chinese New Year.

With all that in mind, let’s look at the latest global figures of this ‘highly’ contagious and lethal virus (as of the morning of 12/3/2020):

  • Total confirmed cases: 125,851; Total Deaths: 4,615
  • China cases: 80,921; Deaths: 3,046
  • Italy cases: 12,462; Deaths: 827
  • Iran Cases: 9,000; Deaths: 354
  • Then comes Republic of Korea with 60 deaths, Spain with 54 and France with 48.

The first recorded SARS-CoV-2 death in China was on 13th January. Italy’s was on 22nd February. Iran’s on 12th February. So, to clarify:

  • China have had 3046 deaths in just under 2 months (53 deaths per day);
  • Italy, 827 deaths in 18 days (46 deaths per day);
  • Iran, 354 deaths in 28 days (13 deaths per day).

I stress again that these are the countries worst hit by the outbreak. (All figures are subject to positive tests and presumably, some sort of Coroner’s report – in the UK all deaths are subject to a post-mortem if the individual has not seen a doctor within 2 weeks of death. It’s highly likely infection figures are much higher than recorded. In which case, WHO’s claims of a 3.4% death rate are questionable from only a cursory look at the current data).

Tedros Adhanom Ghebreyesus, Director-General of the World Health Organization, addressing the world’s media on the 11th March as the SARS-CoV-2 outbreak was declared a pandemic

For some perspective, let’s compare these to the mortality rates of the common flu (influenza). Which comprises strains that are said to be far less contagious – lower R0s – and far less deadly – 30-40 times less deadly than SARS-CoV-2 according to WHO figures (the studies will be linked below):

The WHO estimates that globally between 290,000 – 650,000 die every year from influenza, with 3-5 million severe cases. This is obviously including deaths that have been precipitated by influenza (as the SARS-CoV-2 deaths have been precipitated by contracting the virus – which is why the elderly with underlying health conditions are the most vulnerable). Influenza’s peak months are winter through to spring. The death toll changes every year, some years being worse than others. In many places this figure is quoted as being around 500,000 deaths annually.

The global population is estimated to be 7,800,000,000.

China’s population is estimated to be 1,439,323,776 – about 18% of the world’s total population.

We would therefore expect that about 90,000 people, which is 18% of 500,000, will die every year in China as a result of contracting influenza.

We recall that China has had 3046 COVID-19 attributed deaths in just under 2 months (53 deaths per day). At that rate there would be around 19,345 deaths over the year, significantly under what we would expect from the far less contagious and deadly common flu.

People will say that because the country is in lockdown mode, it has been somewhat successful in averting much higher numbers. This is self-evident. However, because these measures have no precedent, we have nothing to compare them to. We don’t know the impact, for example, these measures have had on seasonal influenza numbers. (In fact, throughout all of this current seasonal influenza numbers are conspicuous by their absence).

Others will say that the Chinese authorities have suppressed figures and there’s every reason to believe that they are much higher than reported. I agree. But with that being said, why should we believe anything coming out of China? Including ‘leaked’ footage of swelling hospital wards, women being pulled out of houses by their hair by men in biohazard suits, and tenement blocks being welded shut in efforts to contain the virus. Meanwhile, international airports remain open across the country. What’s wrong with this picture? (Similarly, Italy is currently on “lockdown”, yet its airports remain open).

China is ruled by an authoritarian regime. Very little comes out without the government’s say so. They have their own social media platforms, and a social credits system, with those displeasing the government losing social points. Lose enough and they can be denied travel, basic provisions and will be named and shamed in public places. We should therefore not apply western standards to a country which is alien to them. As a side note, I should add that another key difference is that, though all countries will be hit by an economic crash, China will benefit in relative terms because western nations are saddled with far more debt.

Over the 4 annual reports in Britain between 2014-18, 84,622 deaths attributed to influenza and “extreme temperatures” were recorded. That’s an average death rate of 21,155 persons per year – equating to an average of 58 deaths per day, with obviously higher prevalence during peak months.

We recall that Italy’s death toll since the first fatality equates to an average of 46 deaths per day. The UK population is estimated at around 67 million. Italy’s, 60 million. The Italian figures are therefore unremarkable. In fact, like China, you could argue that we would actually expect to see more deaths in Italy from the common flu in what is currently peak season, than what has been listed as a result of COVID-19. Especially when you consider that Italy has an older population than the UK. Again, the argument will be that the Italian authorities have probably been successful in suppressing the severity of the spread; but, I repeat, we have nothing to compare these extraordinary measures to, and what may have been their effects in suppressing seasonal influenza.

Short of having the Italian figures, let’s compare Italy to another Mediterranean country. In Spain for the season 18/19, 6,300 influenza deaths were recorded. That equates to 17 deaths per day over the year – with prevalence being higher in winter and spring. Its population is estimated to be 47 million. 78% of Italy’s 60 million. We recall that at an average of 46 people are dying per day in Italy. 78% of 46 is just shy of 36. Significantly higher than the Spanish figure. But nothing out of the ordinary. Because this is peak season and the Spanish figure was a yearly average.

It’s argued that influenza was already endemic when the flu season started, giving it a huge head start on SARS-CoV-2. And unlike influenza, we are dealing with a single geographic origin. There have also been efforts to contain its spread. But we don’t know how successful those efforts have been to also contain influenza’s spread. Because those figures are not being released. Moreover, given that there are obviously far more cases of SARS-CoV-2 than what is being reported, but not necessarily, significantly more deaths, the WHO’s 3.4% mortality rate of those infected seems scarcely credible.

We should also stress that the common flu spreads in a population where many people have either partial or full immunity from previous flu seasons. And for which many others will be partially immunized by taking a vaccine (interestingly, this somewhat aligns with the reported 20-30% asymptomatic SARS-CoV-2 cases). This will keep numbers down. However, we can’t say the same for SARS-CoV-2. This highly contagious and lethal virus is purportedly spreading through a population with no immunity and for which there is no vaccine. This should unfortunately raise numbers significantly. Are we seeing this reflected in the current data?

In fact, none of the data looks in any way remarkable when compared to seasonal influenza. Of which there are many different mutating strains of varying severity. So, if this is a crisis, perhaps we should add it to the crisis we experience at this time every year, where hospitals are invariably swelling with patients suffering from the effects of the common flu.

Richard Hatchett, CEO, ‘Coalition for Epidemic Preparedness Innovations’, said recently on a television interview that SARS-CoV-2 was “here to stay”. It will apparently rear its ugly head periodically. Still sounds like the flu doesn’t it? He also said that “war is an appropriate analogy”. As has the Italian Health minister. Who has been quoted as saying that “we are at war”, and “a bomb has gone off in Italy”.

This analogy should make us pause for thought. War, and more importantly, the threat of war, has been used since time immemorial to keep the structure of society intact. Former president James Madison said it best:

“Of all the enemies to public liberty war is, perhaps, the most to be dreaded…War is the parent of armies; from these proceed debts and taxes…and armies, and debts, and taxes are the known instruments for bringing the many under the domination of the few…No nation could preserve its freedom in the midst of continual warfare.”

Most wars are entered into under duplicitous means. So, why should ‘this’ war be any different? In a world where politics, science and money can become the same, we should be careful not to be swept up in manufactured hysteria. (I will explore these points in further detail in a follow up article).

I see no convincing data that would support the conclusion that SARS-CoV-2 is radically different to the common flu. But, of course, everyone should still be prepared and should still take the necessary precautions to protect themselves and their family. My thoughts are with all those who have lost loved ones in recent times.

Stay safe and God bless.

*Figures are accurate as of the morning of 12/3/2020. We should expect figures to go up. But we are a long away from fears of exponential rises, despite claims that SARS-CoV-2 is spreading rapidly. As stated, after 4 months or more it is currently underperforming typical seasonal influenza figures.

World Health Organisation Seasonal Influenza Fact Sheets

Surveillance of influenza and other respiratory illnesses in the U.K. 2014-2018 government pdf

Spanish government stats of seasonal influenza 2018-2019 pdf

Abridged version