First, here are the two posts claiming the 5% figure:
https://greatawakening.win/p/16a9v4XS1j/5-of-covid-vax-lot-s-are-respons/c/
https://greatawakening.win/p/16a9v3RWc8/whats-in-your-wallet/c/
and two good links that I gleaned from the comments:
https://knollfrank.github.io/HowBadIsMyBatch/batchCodeTable.html
Now, assuming this 5% figure is true and that the bad batches were randomly distributed worldwide, here is the probability distribution that a person who took both clot shots and all boosters on the time scale propagandized by the government and the mockingbird media of getting a poisonous shot.
The formula for the probability distribution of 2 events is: nCrp^rq^(n-r) where n is the number of vaccine doses taken, r is the number that is poisonous, p is the probability that the batch is not poisonous which would be .95 and q is the probability that the batch is poisonous which would be .05. For those of you who are not math literate, the C is the formula for combinations.
So a person who had only one shot, the probability is nonpoisonous: 95%, poisonous 5%
From here on out, all calculations are rounded to the nearest whole percent.
A person who had two shots, the probabilities are: both nonpoisonous: 90%, 1 poisonous: 10%, both poisonous 0% (actually 0.25%)
A person who had three shots, the probabilities are: all nonpoisonous: 86%, 1 poisonous: 14%, 2 poisonous: 1%, all 3 poisonous: 0% (actually 1/80th of a %) The reason why the total is above 100% is due to rounding error.
A person who had 4 shots, the probabilities are: all nonpoisonous: 81%, 1 poisonous: 17%, 2 poisonous: 1%, 3 poisonous: 0.05%, all 4 poisonous: 1/1600 of a %
A person who had 5 shots, the probabilities are: all nonpoisonous: 77%, 1 poisonous: 20%, 2 poisonous: 2%
A person who had 6 shots, the probabilities are:
all nonpoisonous: 74%, 1 poisonous: 23%, 2 poisonous: 3%
A person who had 7 shots, the probabilities are: all nonpoisonous: 70%, 1 poisonous: 26%, 2 poisonous: 4%
A person who had 8 shots, the probabilities are:
all nonpoisonous: 66%, 1 poisonous: 28%, 2 poisonous: 5%, 3 poisonous 1%
I'll stop here since I doubt that no one has yet had 8 shots. If you look at the figures, you can see that people getting these shots are playing a game of Russian roulette with the odds increasing going against their favor. Remember though that this relies on two key assumptions made at the beginning of this post.
As you can see, a person who takes 8 shots risks a 2 out of 3 chance of NOT getting poisoned. I you presented this person with a bowl of 300 M&Ms and told them that 1 out of 3 of them was poisonous, would they reach in and take a handleful?
What got me was how the probability of getting only one poisonous shot out of many rose with each shot taken. After all, it only takes one to cause an injury or death. I'm sure that others here on GAW can add other interpretations of these numbers and I welcome them to do so. I just wanted to throw this out there are continue the discussion that was started yesterday.
It doesn’t work that. The formula I provided is the way to do the calculation. Many others who posted comments and have a meth background confirm this. You can also look the formula up.
I'm sure that was a typo, but I did laugh at "meth background."
I agree to disagree, here’s an example of my math:
If you have a potential to take 100 shots and 5 out of that batch are poison you have a 5% chance to get poison. This we both agree on.
If you double your potential to 200 shots (2 batches of 100) and 10 of those are poison this is still a 5% chance. You’re saying it’s a 10% chance but that’s not how statistics work. You tell me to look it up and I’m sure I’m right so I’m not going to. So let’s agree to disagree.
Otherwise your points are well put together, I enjoyed reading, I didn’t make it a point to say that in my first comment so I apologize. Sometimes I just dive into my point without giving kudos and that’s something I’m working on myself about.
I don't mean to insult you, but you should take courses in basic, then intermediate, statistics or probability. I taught it for 10 of my 41 years as a hs math teacher.