Sunday 10 May 2020

COVID CONSPIRACY PT 3



          PEOPLE DYING OF REGULAR ILLNESSES FROM LACK OF CARE IN HOSPITALS & NURSING HOMES…….CORONA IS A SCAM.  THEY CREATED IT, THEY SPREAD IT, THEY CAUSED CHAOS, MISINFORMATION & DEATHS.
  THIS IS THE BIGGEST TREASURY THEFT SINCE 9/11 & THE BANK BAILOUTS.  THEY ARE TESTING THE PEOPLE TO SEE HOW MUCH DAMAGE THEY CAN DO TO US & GET AWAY WITH IT – A LOT.  THE PEOPLE KNOW NOTHING EXCEPT THOSE WHO CHECK ALTERNATIVE MEDIA.  THE PEOPLE OF THE WORLD ARE GETTING SCAMMED, ROBBED & MURDERED BY THE OBSCENELY RICH, SCHEMING, DEMONIC ELITISTS, SHADOW GOVT, FILTHY RICH BANKSTERS, GANGSTERS, CRIMINALS, DEMONICS, EVIL DOERS—THIS IS PATRIARCHY.
WE HAVE BEEN WORKING FOR MATRIARCHY ALL OUR LIVES, IT IS THE ONLY SYSTEM THAT WILL SAVE US.

 
          The following article is written by an anonymous man.


 Quiet Hospitals I encourage you to view some of the following links, where you will witness quiet hospitals, parked ambulances, empty corona virus tents and empty car parks – situations completely unrepresentative of a pandemic, despite all media reports to the contrary.

https://www.youtube.com/watch?v=xPM8n-wBWh4&feature=youtu.be https://www.youtube.com/watch?v=kamZlRikarU https://www.youtube.com/watch?v=5pIMD1enwd4 For more, search #filmyourhospital on youtube. 


 Many of these are recorded on camera phones by regular people. Reports from Switzerland and Germany both show “less activity than normal times”, that staff “are still waiting for patients,” and have had “no increase in patient numbers.” Health Consequences OK, so it’s a planned event, everyone’s in on it, deaths are largely misrepresented, lockdown measures are useless, testing is unreliable, reports are false, and there is no dramatic emergency situation, but at least we’re not putting anyone at risk, right? Wrong. 

 
While hospitals are preparing for large numbers of Covid-19 cases, other services are cut back – such as operations. In Romania a Hospital has closed and medical staff placed into quarantine, thus depriving critically ill people of the care they need. The number of heart attack and stroke patients who receive emergency medical care worldwide is declining, for fear of leaving the house or nursing home due to Covid-19 threat. “The number of Americans filing claims for unemployment benefits shot to a record high of more than 6 million last week as more jurisdictions enforced stay-at-home measures to curb the coronavirus pandemic.”

 
 One in five households in the US have had someone laid off, while those earning less than $50,000 had one in four. There is a large body of literature establishing a link between unemployment and suicide rates. More than 10,000 suicides were tied to the financial crisis of 2008, a dramatic increase on years prior. Researchers at University of Otago found unemployment was 14 associated with a two to threefold increased risk of suicide. A study from Taiwan found, “Unstable employment had a significant impact on suicide among people aged 25–34,” and, “Economic factors, especially decrease in GDP per capita, also turned out to be a good predictor of increased suicide rates.”


           Another found suicide rates decreased during economic boom, and increased in the elderly during a recession. A study from the US has found, “the quality and quantity of individuals' social relationships has been linked not only to mental health but also to both morbidity and mortality.” “Indiana’s 211 hotline went from receiving roughly 1,000 calls a day regarding mental health – including suicidal ideation – to 25,000 calls a day. Calls to Indiana’s addiction hotlines went from an average of 20 a week to 20 a day.”


           Nursing homes have been particularly affected. In some instances nursing staff are no longer able to visit. In Italy, some nurses have left the country in a hurry due to fearmongering, curfews and border closures, leaving the elderly, disabled, and those in need of care, helpless. Elderly have been found dead from abandonment in Spain. “In a German retirement and nursing home for people with advanced dementia, 15 test-positive people have died, without showing symptoms of corona.


A German medical specialist informs us, “From my medical point of view, there is some evidence that some of these people may have died as a result of the measures taken. People with dementia get into high stress when major changes are made to their everyday lives: isolation, no physical contact, possibly hooded staff.“ Nevertheless, they are counted as “corona deaths“ in German and international statistics. We are told the elderly are most at risk from Covid-19. Perhaps now we know why. The very measures designed to keep them safe may in fact only make things worse.


           Conclusion It is clear an awful lot of misrepresentation is occurring in both reporting and governance of the situation, which needs to be condemned and acted against in the swiftest manner. If this paper has resonated with you, please give it the opportunity to resonate with others. Lest the whole world be locked inside indefinitely, our families existing but on a screen, lifestyles reduced to the home, and business in tatters, now is not the time for quiet. You can’t solve a problem until you know it exists, and the greater society currently has no idea. The first step of action is to spread the truth. That is action, and this is a great opportunity. Do not miss it. Do not be deterred. Freedom is a fundamental human right. Let’s help each other get it back. Like the greatest contagion, sharing this paper with your contacts will spread it faster than any virus. You may link to this address, or download the PDF and distribute freely.

For those with social media, use the following hashtags: #Covid19 #Coronavirus #Inittogether #Plandemic #Lockdown #Socialdistancing #Publichealth #Mentalhealth #Filmyourhospital



          It’s probable you will be shot down in the comments by people trying to prevent the truth getting out, or those unable to see past the television reports. Ignore them. Their voice may be louder, but our numbers are greater, and if we speak up, it is our choir that will sing loudest. Miles: good data analysis there, proving this coronahoax is manufactured from the ground up. What I would like to see next from a guest writer is an analysis of the 15 financial side of this, looking closely at the Gates Foundation, Blackrock, the fake stimulus package, and huge loans being forced on all of us right now, via the Fed raising the debt ceiling by an awesome amount.

 
 I think this is the biggest treasury theft in the history of the world, though that side of it is getting little attention. They are sending you a check for $1200 while picking your pocket for 50 times that. Or is it a hundred? Or is it five hundred? Only time will tell. About every ten years now they come back with an even more colossal scam. It started with 911, the greatest theft and scam of all time up to that point. Then we had the bailouts, which were an even bigger theft from the treasury. Since the American people did absolutely nothing about either theft, the thieves returned for a third time this year, and they will keep coming back until they are stopped. I guarantee you the next theft will be even larger. This is how it works. They will keep robbing you until there is literally nothing left to take. You won't be left alone until you are living in a cave sucking on cold potatoes.
………………………………………………………..

 
Pt 2 COVID CONSPIRACY  Part 2 – BY AN ANONYMOUS INTERNET MALE –

PROVES THEY HAVE CONSPIRED TO PUT THIS ON US – IT’S A FAKE PANDEMIC, THEY ARE USING IT FOR SOME REASON, TO CONTROL US, MAKE US DO WHAT WE DON’T WANT TO DO, BREAK US, PRETEND THEY ARE HELPING US, DESTROY THE ECONOMY, MAKE THE POOR PEOPLE MORE POOR, & THEN WHAT?  SOMETHING TO DO WITH VACINNES, GETTING THE ENTIRE WORLD VACINNATED, SO PEOPLE BE CAREFUL.  DO NOT GET VACINNATED—THERE IS TERRIBLE DANGER THERE.


  Countries that have not enforced any lockdown: 4 Countries that have employed the strictest lockdown measures: Country Population (millions) Covid-19 Deaths % Deaths per Population Covid-19 Cases % Cases per Population % Deaths per Cases Japan 126.47 143 0.00011% 7645 0.00604% 1.9% South Korea 51.27 222 0.00043% 10564 0.02060% 2.1% Taiwan 23.82 6 0.00003% 393 0.00165% 1.5% Cambodia 16.72 0 0.00000% 122 0.00073% 0.0% Sweden 10.1 1033 0.01023% 11445 0.11332% 9.0% Belarus 9.45 33 0.00035% 3281 0.03472% 1.0% Hungary 9.66 122 0.00126% 1512 0.01565% 8.1% Mexico 128.93 332 0.00026% 5014 0.00389% 6.6% Jamaica 2.96 4 0.00014% 73 0.00247% 5.5% Uruguay 3.47 8 0.00023% 483 0.01392% 1.7% Cameroon 26.55 14 0.00005% 848 0.00319% 1.7% Somalia 15.89 2 0.00001% 60 0.00038% 3.3% Chad 16.43 0 0.00000% 23 0.00014% 0.0% Madagascar 27.69 0 0.00000% 108 0.00039% 0.0% Mozambique 31.26 0 0.00000% 21 0.00007% 0.0% AVERAGE 33.378 128 0.00087% 2773 0.01448% 2.8% 5 Country Population (millions) Covid-19 Deaths % Deaths per Population Covid-19 Cases % Cases per Population % Deaths per Cases Malaysia 32.37 82 0.00025% 4987 0.01541% 1.6% India 1380 358 0.00003% 10541 0.00076% 3.4% Iran 83.99 4683 0.00558% 74877 0.08915% 6.3% Pakistan 220.89 96 0.00004% 5837 0.00264% 1.6% New Zealand 4.82 9 0.00019% 1366 0.02834% 0.7% Bangladesh 164.69 46 0.00003% 1012 0.00061% 4.5% France 65.27 14967 0.02293% 136779 0.20956% 10.9% Germany 83.78 3215 0.00384% 130383 0.15563% 2.5% UK 66.65 11329 0.01700% 88621 0.13296% 12.8% Italy 60.36 20465 0.03390% 159516 0.26427% 12.8% Spain 46.94 18056 0.03847% 172541 0.36758% 10.5% Belgium 11.46 4157 0.03627% 31119 0.27154% 13.4% Austria 9.01 384 0.00426% 14159 0.15715% 2.7% Romania 19.24 346 0.00180% 6879 0.03575% 5.0% Greece 10.42 99 0.00095% 2145 0.02059% 4.6% Netherlands 17.28 2945 0.01704% 27419 0.15867% 10.7% Czech Republic 10.71 147 0.00137% 6059 0.05657% 2.4% Portugal 10.2 567 0.00556% 17448 0.17106% 3.2% Poland 37.85 251 0.00066% 7049 0.01862% 3.6% Ecuador 17.64 355 0.00201% 7529 0.04268% 4.7% Argentina 45.2 101 0.00022% 2277 0.00504% 4.4% Peru 32.97 216 0.00066% 9784 0.02968% 2.2% Colombia 50.88 112 0.00022% 2852 0.00561% 3.9% Honduras 9.9 26 0.00026% 407 0.00411% 6.4% Bolivia 11.67 28 0.00024% 354 0.00303% 7.9% Venezuela 28.44 9 0.00003% 189 0.00066% 4.8% Haiti 11.4 3 0.00003% 40 0.00035% 7.5% South Africa 59.31 27 0.00005% 2415 0.00407% 1.1% Rwanda 12.95 0 0.00000% 127 0.00098% 0.0% Angola 32.87 2 0.00001% 19 0.00006% 10.5% AVERAGE 88.30533333 2769 0.00646% 30824 0.07510% 5.6%

 
 6 Countries that don’t appear either had too small a population, employed restrictions that were neither most strict nor most lax, or were missing from the dataset/s (eg. Israel, Turkey, Nepal, etc..). As the lockdown countries have a population more than double the non-lockdown, when comparing averages we can disregard totals, and focus instead on the percentages. Firstly, the highest number of cases per population of any country is just 0.37% (Spain). An absolutely minuscule number that does not signify pandemic.

 Secondly, we clearly see that those non-lockdown countries have just 13% of deaths per population to those in lockdown, 19% of cases per population, and 50% of deaths per cases. This means that by far the safest place to be in the world right now, if you don’t wish to catch Covid-19, is in a country not enforcing lockdown! The worst affected non-lockdown country is Sweden, and its percentages are still better than most of its Western European neighbours. This is the most conclusive data I can offer to prove that lockdowns have not prevented any rise in cases or deaths. There are other things worth noting. There is a huge variety in percentages across both tables. If Covid-19 was equally dangerous to everyone, everywhere, globally, as we have been lead to believe, then you would not expect this - UNLESS some countries took more effective measures to deal with it than others. In which case you would expect countries who took the least measures to be the worst effected - yet we have just proven the opposite is true.

Countries who took the least measures are better off. And why is that? We may assume it is because countries taking the most measures and going in to lockdown are also doing the most overcounting of deaths. Some experts have proposed we should end lockdown and just let everyone catch Covid-19 so as to develop herd immunity, and you may think the findings above support this theory, except that the least affected countries also have the least number of cases per population, meaning herd immunity has not been required to keep the numbers low. We are told the virus affects the elderly in greater numbers than the young, but Japan, one of the least affected countries, has the second highest life expectancy and median age of population in the world. So the data discrepancies cannot be attributed to solely to population age. Nor can it be put down to wealth, at least not in the expected manner. You would think wealthy countries, with increased hygiene and better medical facilities, would be less affected than poor countries, yet another paradox, the opposite proves closer to the truth. I present below two maps, the first from Wikipedia, the second from Bloomberg. 


 7 Wikipedia’s map shows cases per million inhabitants, maroon being highest and grey being lowest. There is not a perfect correlation between wealth and area affected, yet there is no doubt the most highly affected areas, such as North America and Western Europe, are wealthy areas, while the least affected areas, such as Africa, Southern Asia and Mongolia, are poorer. That is because there are more spooks in first-world countries, faking statistics. Bloomberg’s map simply shows cases confirmed, with maroon being highest and pale yellow lowest. You would expect nations with larger populations to be more significantly represented here, and that plays out with China and Russia being more prominent than Australia and New Zealand compared to Wikipedia’s map, and Brazil being more prominent than Chile.

 Southern Asia, particularly India, and parts of Africa, also become more highly represented, yet still mostly remain at the lower end, with Central Africa and Mongolia still lowest. So with many of the worlds least hygienic and most susceptible countries fairing far better through this pandemic than everyone else, how then can you explain the above findings, other than to say some countries simply didn’t agree to go all in on the planned event, while others did? Some have suggested quantity of testing plays a part. Either: a) The faster you find the infected, the faster they can be isolated, thus slowing the spread, or b) Countries that test only the sickest people will find a larger percentage of cases per tests, and/or deaths per cases/tests Worldometer does not provide data for who has only tested the sickest, but it does provide data for total testing, and it seems a safe assumption that countries conducting the least number of tests limit themselves to the most in need - the sickest.

So once again, lets analyse the data. We will look at the same countries we looked at above. I have removed the countries they have no testing data for. Non-lockdown: 8 Country Total Tests % T e s t s p e r population % C a s e s p e r Tests % D e a t h s p e r Tests Japan 89551 0.07% 8.54% 0.16% South Korea 534552 1.04% 1.98% 0.04% Taiwan 49748 0.21% 0.79% 0.01% Cambodia 5768 0.03% 2.12% 0.00% Sweden 54700 0.54% 20.92% 1.89% Belarus 71875 0.76% 4.56% 0.05% Hungary 37326 0.39% 4.05% 0.33% Mexico 40091 0.03% 12.51% 0.83% Jamaica 1290 0.04% 5.66% 0.31% Uruguay 9929 0.29% 4.86% 0.08% AVERAGE 89483 0.34% 6.60% 0.37% Strict lockdown: 9 At a glance it certainly doesn’t appear more testing slows the spread, with nonlockdown countries, who average fewer cases and deaths per population, conducting only half the number of tests (per pop). If testing is supposed to help slow the spread, it appears they didn’t get the memo, and are better off for it.

You will say the only reason they’ve had fewer cases is because they’ve had fewer tests. In other words, Covid-19 isn’t any less prevalent in those places, it just hasn’t been found yet. On the surface that idea is not without merit. There is a correlation (0.7 coefficient [where 0 is no relation and 1 is max], or 50% coefficient squared, meaning 50% of the variable is related) between percentage of tests (per pop) and percentage of cases (per pop), regardless of lockdown measures in place. To some this will prove they need to do 10 Country Total Tests % Tests per population % Cases per Tests % Deaths per tests Malaysia 84791 0.26% 5.88% 0.10% India 244893 0.02% 4.30% 0.15% Iran 299204 0.36% 25.03% 1.57% Pakistan 73439 0.03% 7.95% 0.13% New Zealand 66499 1.38% 2.05% 0.01% Bangladesh 14868 0.01% 6.81% 0.31% France 333807 0.51% 40.98% 4.48% Germany 1317887 1.57% 9.89% 0.24% UK 382650 0.57% 23.16% 2.96% Italy 1073689 1.78% 14.86% 1.91% Spain 600000 1.28% 28.76% 3.01% Belgium 128132 1.12% 24.29% 3.24% Austria 156801 1.74% 9.03% 0.24% Romania 74827 0.39% 9.19% 0.46% Greece 48798 0.47% 4.40% 0.20% Netherlands 134972 0.78% 20.31% 2.18% Czech Republic 137409 1.28% 4.41% 0.11% Portugal 191680 1.88% 9.10% 0.30% Poland 148321 0.39% 4.75% 0.17% Ecuador 25347 0.14% 29.70% 1.40% Argentina 22805 0.05% 9.98% 0.44% Peru 102216 0.31% 9.57% 0.21% Colombia 45423 0.09% 6.28% 0.25% Honduras 1600 0.02% 25.44% 1.63% Bolivia 2185 0.02% 16.20% 1.28% Venezuela 225009 0.79% 0.08% 0.00% Haiti 365 0.00% 10.96% 0.82% South Africa 87022 0.15% 2.78% 0.03% Rwanda 6237 0.05% 2.04% 0.00% AVERAGE 207961.241 4 0.60% 12.70% 0.96% more tests, but if it were so important, why aren’t countries doing the least testing having the most deaths?

 Death doesn’t wait for diagnosis, so if a virus was very deadly, you would expect to find people succumbing no matter how many tests were carried out, and that isn’t happening. We have seen in the data above, that even including assumptions and multiple co-morbidities, death percentages are minuscule, and superior in non-lockdown countries. Testing appears to be a marker of statistical prevalence, more than threat. We also find there is no correlation between tests per population and cases per test (0.09 coefficient, 0% coefficient squared), deaths per cases (0.2 coefficient, 0% coefficient squared), or deaths per tests (0.17 coefficient, 0% coefficient squared), meaning more targeted testing cannot predict a change in percentage. This flies in the face of reports suggesting Germany’s far superior death per cases ratio to Italy’s, Spain’s, and the UK’s is due to more testing.

 In this case we should ask why there is such a rush to increase testing? Authorities are not just waiting for sick people to walk into a clinic, they have programs and targets for mass testing, and are walking door to door to swab residents in multiple countries. The real pandemic here is not of deaths, but of testing. Unreliable Tes

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