Statistics Show that the Number of People who Died in the U.S. in 2020 will be the SAME as Previous Years, in Spite of COVID
by Brian Shilhavy
Editor, Health Impact News
Nov. 29, 2020
The COVID19 scam of 2020 is quickly unraveling, as more and more people are waking up to the fact that the public has been lied to when it comes to COVID19, and the government actions taken in the name of COVID that have destroyed so many lives have been completely unnecessary, as millions of people around the world now are taking to the streets and demanding their freedom back from COVID medical tyranny.
The PCR test, which is the main test used to determine if someone is COVID positive or not, is now universally accepted by top scientists around the world as being a faulty test. Please see our page on COVID testing in our COVID Information Center here.
It has also been widely reported now that doctors and hospitals have used this faulty test to label people as “positive COVID cases” even if they do not show any symptoms of COVID or being sick. Hospitals have a financial incentive to label someone as “COVID positive” as well.
Earlier this month (November, 2020) I reported how the CDC, in an unprecedented move, largely stopped tracking cases of influenza for the 2020-2021 flu season. See:
So when people die of cancer, heart disease, and many other historical leading causes of death in the U.S., but test positive for COVID and are then claimed as a “COVID death,” we would expect to see only a slight increase of overall deaths nationwide over the course of time, or no increase of deaths at all, depending on how widespread the scam really is.
Well, as we draw near to the end of 2020 and start crunching the numbers, it appears that when 2020 closes out, about the same amount of people will have died in the U.S. this year as 2019, and 2018, and 2017.
If you are waiting for an actual increase in deaths over the course of a time period, like a calendar year, then you’re going to have to wait until next year, after the COVID vaccine is injected into BILLIONS of people, because then we will see REAL increases in deaths.
And that’s been the goal all along.
Johns Hopkins Student Newsletter Accidentally Published the Truth – And Then was Forced to Retract it
Johns Hopkins University is considered the authoritative place to get statistics related to COVID19. It mirrors what is published on the Worldometer website, even though nobody seems to know who runs this website, and exactly how these statistics are compiled. See:
Last week, a student newsletter published at Johns Hopkins University seemingly accidentally published the truth showing that the CDC statistics for deaths show that there is no increase this year. They wrote:
These data analyses suggest that in contrast to most people’s assumptions, the number of deaths by COVID-19 is not alarming. In fact, it has relatively no effect on deaths in the United States. (Source.)
Whoops! Apparently the Globalists controlling the COVID narrative were not monitoring Johns Hopkins University students closely enough to censor this kind of information before it was published!
Imagine that! Students were doing what students are supposed to do; researching and following the statistics to find out the truth!
The paper was very quickly pulled off of the Internet the same day it was published, but not before some in the Alternative Media were able to capture screen shots and report about it.
Getting caught with their pants down, apparently, the University was forced to deal with it, and had the students retract the study as they attempted to do damage control.
A few days later they had someone named YANNI GU try to cover up the damage in an article published here.
We have a copy of the retracted article here.
CDC is Manipulating the Data
Corey Lynn of Corey’s Digs just published a new article today exposing how the CDC is manipulating data to keep the COVID narrative alive and justify medical tyranny. It’s titled: CDC’s New “PIC” and The Hidden Data
Most people aren’t aware that the CDC has lumped influenza together with Covid and pneumonia in death rates with a new name called “PIC.”
This comes after the CDC confirmed that only 6% of Covid-related death certificates indicate Covid as the only cause, while 94% list other illnesses as the cause with an average of 2.6 comorbidities.
In other words, if someone was in the hospital dying of heart disease and they tested everyone for Covid to separate them to other rooms or wings, Covid was marked on their death certificate.
A perfect example of this is a nurse Corey’s Digs recently spoke with who had four deaths at her hospital. Two were in hospice care, one died of stage four cancer, and the other died of end stage COPD, but all four were documented as having Covid, so those deaths get added to the tallies being told to the public, who are none the wiser.
What does that do to the actual statistics?
One of the most incredible things happening right before everyone’s eyes, is the subversion of data by the Covid Tracking Project, the CDC, Johns Hopkins, legacy news media, and numerous other sources.
This is sheer tricky, and a far cry from “science.”
They like to refer to this trickery as “PIC,” their new method for counting Covid deaths by lumping them in with pneumonia and influenza.
Not only that, but the number of life-threatening conditions people died from, who happen to test positive for Covid, are staggering.
They are basing lockdowns, restrictions, mask mandates, and crushing the economy on COVID deaths, but refuse to reflect COVID ONLY deaths.
And yet, despite all of this manipulation, the fact of the matter is, the survival rate would only go up from what is already incredibly high.
The MS in Applied Economics hosted a friendly conversation on a morose topic on November 11, 2020. This presentation was led by Dr. Genevieve Briand, MS in Applied Economics Assistant Program Director. Genevieve went over where the data could be accessed and downloaded. Together with her, event attendees were invited to think critically about the data presented. This webinar looked at very simple statistics; nonetheless, it shed light on the COVID-19 situation.
All of this correlates with other sources going back for months:
BTW: these inaccuracies are experienced globally as well. This is a great read about the UK: https://www.dailymail.co.uk/news/article-8971669/What-DONT-tell-Covid-facts-twisted-strike-fear-hearts