NEW STAINING METHODS: irrefutable proof of organ damage caused by mRNA vaccines rather than COVID-19 infection.
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Officially confirmed: Vaccination is dangerous: Switzerland no longer recommends Covid vaccination. Doctors who continue to vaccinate are now liable.
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3. RFK on the CIA’s First Pandemic Simulation in 2001 & How the Patriot Act Was Passed “When the Patriot Act was being debated and it was being held up by two Senators, there was an Anthrax attack on the U.S. Capitol…Who got the Anthrax? Two Senate offices…the two Senators who were blocking the Patriot Act.”
Insurance companies hire the best mathematicians in the world as an "actuary" to determine the risk and based on that calculate how much insurance premiums need to be. They use statistical analysis and generally will only consider events within 3 standard deviations.
In statistics, standard deviation is a measure of the amount of variation or dispersion in a set of data points. It indicates how spread out the values are from the mean (average) value.
When we talk about a value being "11 standard deviations away," it means that the data point is exceptionally far from the mean. In fact, it is considered extremely rare to find a value that is 11 standard deviations away from the mean in a normal distribution.
In a normal distribution, about 68% of the data falls within one standard deviation of the mean, about 95% falls within two standard deviations, and about 99.7% falls within three standard deviations. As the number of standard deviations increases, the percentage of data points within that range decreases exponentially.
To put it into perspective, if a value is 11 standard deviations away from the mean, it implies that the data point is exceptionally extreme and highly unlikely to occur by chance in a normal distribution. This would suggest either a very unusual event or a potential issue with the data or measurement process. In many practical cases, such extreme values may be considered outliers or anomalies.
If we consider 11 standard deviations away from the mean, it would imply an extremely rare occurrence. In a normal distribution, the percentage of data points within 11 standard deviations is virtually negligible, approaching zero. To be precise, it would be less than 0.0000000001% or 1 in 10 billion.
Therefore, if a data point is 11 standard deviations away from the mean, it suggests an exceptionally extreme value that is highly improbable in a normal distribution. Such an occurrence is typically considered an outlier or an anomaly.
In statistics, standard deviation is a measure of the amount of variation or dispersion in a set of data points. It indicates how spread out the values are from the mean (average) value.
When we talk about a value being "11 standard deviations away," it means that the data point is exceptionally far from the mean. In fact, it is considered extremely rare to find a value that is 11 standard deviations away from the mean in a normal distribution.
In a normal distribution, about 68% of the data falls within one standard deviation of the mean, about 95% falls within two standard deviations, and about 99.7% falls within three standard deviations. As the number of standard deviations increases, the percentage of data points within that range decreases exponentially.
To put it into perspective, if a value is 11 standard deviations away from the mean, it implies that the data point is exceptionally extreme and highly unlikely to occur by chance in a normal distribution. This would suggest either a very unusual event or a potential issue with the data or measurement process. In many practical cases, such extreme values may be considered outliers or anomalies.
If we consider 11 standard deviations away from the mean, it would imply an extremely rare occurrence. In a normal distribution, the percentage of data points within 11 standard deviations is virtually negligible, approaching zero. To be precise, it would be less than 0.0000000001% or 1 in 10 billion.
Therefore, if a data point is 11 standard deviations away from the mean, it suggests an exceptionally extreme value that is highly improbable in a normal distribution. Such an occurrence is typically considered an outlier or an anomaly.
Life insurance companies have policies with fortune 500 companies providing life insurance for their employees. Everyone at these companies was required to be vaccinated and afterwards the life insurance companies saw an unprecedented spike in deaths that was 11 standard deviations from the mean, indicating this was not natural or something that typically might happen, hence it was a result of some human intervention. The only thing all these employees had was the vaccine. They live all over the country, in big cities and suburbs and more rural locations. They were in the 25-55 year old age range. Men and women, etc.
In additions to death there was also a big spike in sick days and people leaving the company due to health reasons.
This is the most pristine evidence you will ever get because the life insurance companies have 50 years of data prior to the vaccine. Under normal circumstances the vaccine would be pulled immediately until people figured out what is going on but because the whole world has gone nuts we can't even say this is the vaccine, only #DiedSuddenly as though we have no idea why.
In additions to death there was also a big spike in sick days and people leaving the company due to health reasons.
This is the most pristine evidence you will ever get because the life insurance companies have 50 years of data prior to the vaccine. Under normal circumstances the vaccine would be pulled immediately until people figured out what is going on but because the whole world has gone nuts we can't even say this is the vaccine, only #DiedSuddenly as though we have no idea why.
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There is a very simple solution for people who are not Phd math students with expertise in statistical analysis.
Prior to Hurricane Katrina if you wanted flood insurance for your house in the 9th ward of New Orleans the insurance company was going to charge you 1/3 the cost of your house. So if your house is $300k they wanted $100k a year to give you flood insurance. Meanwhile there was a levy at the back of the 9th ward and you could see giant barges going up the Mississippi that were higher than the roof of the houses. You don't have to understand statistical analysis to know that the insurance company expects your house to be wiped out in a flood. You don't need great wisdom and insight to know that if the height of the Mississippi is above the roof of my house I want flood insurance. And you don't have to be a financial whiz to realize you can't afford to pay 1/3 of your house price every year for insurance. Hence, don't buy a house there and don't live there.
Prior to Hurricane Katrina if you wanted flood insurance for your house in the 9th ward of New Orleans the insurance company was going to charge you 1/3 the cost of your house. So if your house is $300k they wanted $100k a year to give you flood insurance. Meanwhile there was a levy at the back of the 9th ward and you could see giant barges going up the Mississippi that were higher than the roof of the houses. You don't have to understand statistical analysis to know that the insurance company expects your house to be wiped out in a flood. You don't need great wisdom and insight to know that if the height of the Mississippi is above the roof of my house I want flood insurance. And you don't have to be a financial whiz to realize you can't afford to pay 1/3 of your house price every year for insurance. Hence, don't buy a house there and don't live there.
Lancet Study on Covid Vaccine Autopsies Finds 74% Were Caused by Vaccine – Study is Removed Within 24 Hours
https://dailysceptic.org/2023/07/06...accine-journal-removes-study-within-24-hours/
https://dailysceptic.org/2023/07/06...accine-journal-removes-study-within-24-hours/
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