The Covid CANCER Shot!
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You know who this clown is? If you don't you had better find out in a hurry.....
Go ahead be my guest.....call it conspiracy nuttery. I could post hundreds of similar items if necessary.
Go ahead be my guest.....call it conspiracy nuttery. I could post hundreds of similar items if necessary.
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So who is going to be first in line? @JohnDB just think what your sacrifice could mean to the world.....
So who is going to be first in line? @JohnDB just think what your sacrifice could mean to the world.....
This brave new world he is describing sounds like you play a game and the winners are not hungry whereas those that lose become the givers. It reimagines an animal farm where the people are the animals being raised. Very exciting like being in the middle of a big ring surrounded by cheering demons yelling "run, forest, run!"
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What is bad science and what is good science?
Science involves proving or disproving a hypothesis with observable data. Until you have enough evidence to do either one it is normal and right to have a variety of hypotheses. Bad science is censoring all dissenting voices but the approved narrative before all the facts are in.
Then, in science you are always troubled by the issue of your dataset. Is it biased? Is it comprehensive? Is it sufficient to prove the point?
Dr. Naomi Wolf's book on Covid examined Pfizer's own research that they wanted to suppress for 75 years. This is a very compelling data set because you know that Pfizer is biased towards approving the vaccine. It is worth billions to them and they have done many things to hide results which might cause the vaccine to not be approved for human use.
Then we got the gold standard data set, it was the absolute best data set any researcher could ever want, perfect in so many ways. The insurance companies hire the very best mathematicians and statisticians to evaluate the data and calculate risk for setting their rates. Not only so but they have been collecting this data for decades so you have a control you can compare with, the data set prior to the vaccine and the data set after the vaccine. They offer health plans and life insurance plans to corporate America, many of these companies required their employees to be vaccinated. So then we have a data set of millions of people, certainly large enough to have reliable conclusions. We have a control, we have the best statisticians parsing the data, and we have the proper motivation. They are not motivated for or against the vaccine, what they are concerned with is the cost of death and sickness. What they found was an 11 sigma event. To go three standard deviations from the norm would be a one in 200 year catastrophe, like the worldwide pandemic in 2020. This is about the worst event insurance companies will factor in to their risk assessment. However, since the vaccine they have an 11 sigma event, 11 standard deviations from the norm for deaths and lost work due to sickness.
So we have two really good and completely independent data sets to look at and both tell you the same thing! That is the point at which most scientists will come to a consensus. However, with the book "The Real Anthony Fauci" and with the revelations coming out concerning the funding of the bioweapons lab, the research being done, and the concerted effort to obfuscate and mislead concerning that research we also have the why. Most scientists are happy to discover the "what" and hopefully explain the "how". To know the "who", "when" and "why" is truly extraordinary. That is good science.
You then have countries beginning to officially acknowledge this, banning Astra Zeneca and no longer recommending Pfizer under any circumstance.
One would think that the matter is now confirmed, not much left to debate. Yet you still find these ones who consider everything contrary to the official narrative they swallowed two years ago to be a tin foil hat conspiracy theory spread by anti vaxx wackos. That is bad science. That is the guy at the bottom of the mine upset that with the pet store because all of his canaries died instead of realizing their warning.
Science involves proving or disproving a hypothesis with observable data. Until you have enough evidence to do either one it is normal and right to have a variety of hypotheses. Bad science is censoring all dissenting voices but the approved narrative before all the facts are in.
Then, in science you are always troubled by the issue of your dataset. Is it biased? Is it comprehensive? Is it sufficient to prove the point?
Dr. Naomi Wolf's book on Covid examined Pfizer's own research that they wanted to suppress for 75 years. This is a very compelling data set because you know that Pfizer is biased towards approving the vaccine. It is worth billions to them and they have done many things to hide results which might cause the vaccine to not be approved for human use.
Then we got the gold standard data set, it was the absolute best data set any researcher could ever want, perfect in so many ways. The insurance companies hire the very best mathematicians and statisticians to evaluate the data and calculate risk for setting their rates. Not only so but they have been collecting this data for decades so you have a control you can compare with, the data set prior to the vaccine and the data set after the vaccine. They offer health plans and life insurance plans to corporate America, many of these companies required their employees to be vaccinated. So then we have a data set of millions of people, certainly large enough to have reliable conclusions. We have a control, we have the best statisticians parsing the data, and we have the proper motivation. They are not motivated for or against the vaccine, what they are concerned with is the cost of death and sickness. What they found was an 11 sigma event. To go three standard deviations from the norm would be a one in 200 year catastrophe, like the worldwide pandemic in 2020. This is about the worst event insurance companies will factor in to their risk assessment. However, since the vaccine they have an 11 sigma event, 11 standard deviations from the norm for deaths and lost work due to sickness.
So we have two really good and completely independent data sets to look at and both tell you the same thing! That is the point at which most scientists will come to a consensus. However, with the book "The Real Anthony Fauci" and with the revelations coming out concerning the funding of the bioweapons lab, the research being done, and the concerted effort to obfuscate and mislead concerning that research we also have the why. Most scientists are happy to discover the "what" and hopefully explain the "how". To know the "who", "when" and "why" is truly extraordinary. That is good science.
You then have countries beginning to officially acknowledge this, banning Astra Zeneca and no longer recommending Pfizer under any circumstance.
One would think that the matter is now confirmed, not much left to debate. Yet you still find these ones who consider everything contrary to the official narrative they swallowed two years ago to be a tin foil hat conspiracy theory spread by anti vaxx wackos. That is bad science. That is the guy at the bottom of the mine upset that with the pet store because all of his canaries died instead of realizing their warning.
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O Good Science, how thou art vexed,
By those who would seek to suppress
The voices that dissent and question,
Ere all the facts have been assessed.
MSNBC doth trouble thee,
For thou must seek the truth to see,
And prove or disprove with care,
Hypotheses that do err.
Dr. Naomi Wolf, with a data set,
Compelling they want to forget,
From Pfizer's research, suppressed so long,
Now in the light, it doth belong.
Gold standard data set, so perfect,
Comprehensive, biasless, and correct,
Insurance companies, their best in stats,
To evaluate risk and assess the facts.
Millions of people, and motivation,
To reduce cost of death and sick sensation,
11 sigma event, a rare catastrophe,
Since the vaccine, a startling reality.
Two data sets, both say the same,
Consensus reached, science aflame,
But those who cling to old beliefs,
Deny the truth, spurn the relief.
Banning Astra Zeneca, no more Pfizer,
Acknowledging the truth, so much clearer,
Yet some still call conspiracy theory,
Bad science, oh what a misery.
Like a miner with dead canaries,
Warning unheeded, dismissed and varied,
So too the truth, ignored and denied,
Good science, oh how it hath cried.
By those who would seek to suppress
The voices that dissent and question,
Ere all the facts have been assessed.
MSNBC doth trouble thee,
For thou must seek the truth to see,
And prove or disprove with care,
Hypotheses that do err.
Dr. Naomi Wolf, with a data set,
Compelling they want to forget,
From Pfizer's research, suppressed so long,
Now in the light, it doth belong.
Gold standard data set, so perfect,
Comprehensive, biasless, and correct,
Insurance companies, their best in stats,
To evaluate risk and assess the facts.
Millions of people, and motivation,
To reduce cost of death and sick sensation,
11 sigma event, a rare catastrophe,
Since the vaccine, a startling reality.
Two data sets, both say the same,
Consensus reached, science aflame,
But those who cling to old beliefs,
Deny the truth, spurn the relief.
Banning Astra Zeneca, no more Pfizer,
Acknowledging the truth, so much clearer,
Yet some still call conspiracy theory,
Bad science, oh what a misery.
Like a miner with dead canaries,
Warning unheeded, dismissed and varied,
So too the truth, ignored and denied,
Good science, oh how it hath cried.
Study Shows 4.2 Percent of Pfizer COVID Vaccine Batches Made up Most Adverse Events, Raising Serious Concerns
Aaaaand yet another "conspiracy theory" turns out to be true.....
Study Shows 4.2 Percent of Pfizer COVID Vaccine Batches Made up Most Adverse Events, Raising Serious Concerns (theepochtimes.com)
Aaaaand yet another "conspiracy theory" turns out to be true.....
Study Shows 4.2 Percent of Pfizer COVID Vaccine Batches Made up Most Adverse Events, Raising Serious Concerns (theepochtimes.com)
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N
'Red flag' expression. Translation: I am better, smarter and so much more what the rest of you can only hope to be.
Second only to the above quote, we have the 'wow' exclamation indicating outrageous concern for the souls of others. What follows in most cases however, is not concern but rather a dissertation on the exclusive thoughts of the poster that inferior beings would do well to note and further educate themselves in the doing.
The claim that natural immunity is worthless is a rare and extraordinary conclusion that has attached itself to all things covid and further proof that covid is actually one of the most dangerous things to come out of a lab.
Forget the
Your immune system was never meant to be taken seriously anyway. Ask Pfizer. They know.
Second only to the above quote, we have the 'wow' exclamation indicating outrageous concern for the souls of others. What follows in most cases however, is not concern but rather a dissertation on the exclusive thoughts of the poster that inferior beings would do well to note and further educate themselves in the doing.
The claim that natural immunity is worthless is a rare and extraordinary conclusion that has attached itself to all things covid and further proof that covid is actually one of the most dangerous things to come out of a lab.
Forget the
- Cough (new onset or worsening of chronic cough)
- Shortness of breath
- Fever or chills
- Sore throat
- Congestion or runny nose
- Muscle or body aches
- Headache
- New loss of taste or smell
Your immune system was never meant to be taken seriously anyway. Ask Pfizer. They know.
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I remember when this guy was in the news for blaspheming the Lord.
Jamie Foxx declairs the Obamanation his ...
Jamie Foxx declairs the Obamanation his ...
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