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Using the six sigma tool of " Design of Experiments" would be a useful tool to define the issue.

Vaccines are safe and effective can never be proved or disproved because

-What is safe cannot be accurately defined

-What is effective cannot be accurately define.

Design of experiments forms a negative hypothesis

1/ Vaccines cause NO side effects. If we find one case of a side effect then the negative hypothesis is disproved and vaccines can cause a side effect.

2/ Vaccines do NOT stop infection. If we can fine one case of a vaccinated person becoming infected then the negative hypothesis proven and vaccines do not stop infection.

3/ Vaccines contain NO harmful chemicals. We find that Mercury is in Vaccines. the negative hypothesis is disproved and Vaccines

Now we come to definition

What is defined as safe

" Only 50% of people experience side effects"

or " Only 0.00005% of people experience side effects

What is defined as effective

"85% of NZ population were vaccinated 65% of population became infected "

" 2% of Haiti population were vaccinated 3% became infected

The Lying with Statistics part comes when

" If you get VAX you will stop the transmission of COVID"

Quoting statistical results of experiments that were not undertaken

" If you get VAX you will not catch COVID"

Quoting preliminary results on 50 mice then ignoring human results.

" Vaccines are safe and effective:

Safe and effective was and still is not defined

"The only way to stop COVID is by Vaccines "

Makes statements that cannot be supported by facts and ignores natural immunity as demonstrated by Amish Community

" Wearing a mask will stop you catching or transmitting COVID "

Based on a Newspaper report in 1921 on Spanish Flu which killed 100 million people. The report Quoted a troopship study of 1918 that showed that ships where troops worn masks had decreased infection rates. What was omitted was, earlier no infected troops were allowed to board, troops were to spend as much time on deck as practical. No masks were worn and infection rates rapidly dropped. The additional introduction of masks to later sailing had no effect on infection rates. The statistical lie is ignoring time lines

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