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.”
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.
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.
………………………………………………………..
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.
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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