7% - C





Exception

What do we do with all these numbers?
Observe the defining quality of exceptions, or differentiations:
_________
The exceptions to get Clucky, despite successful vaccinations, is =
15%
From the group of Clucky exceptions,
to be a person who is immunocompromised who develops Sandals =
20%
To be a person under 50, when most people who get it are over 50 =
50%
Etc.
_________

To be the exception, of the exception, of the exception, of the exception, etc. we see there's something in common. For each new exception, it's always an added number that's a must to multiply to the prime equation. To use the presented percents, it's:
0.15 x 0.20 x 0.50
All these exceptions from facts have been transformed to actual numbers to form the eventual Final Equation.

From online page "Proba C", we meet the Final Equation of:
.07 x .009 x .46 x . 95 x .05 x .03 x 1.00 x 4.3 million

Where do the numbers go?
*The answer to this section's starting question is, we treat them as we do with all the exceptions. For each different exception it creates an individual number; Then multiply the new numbers together, then to the prime equation.
(If you made custom numbers, please multiply the 3 numbers you created from Number 1-3.)
To use Number 1, Number 2, and Number 3:

15% x 5% x 10%
______________
.15 x .05 x .10= .00075

What is the number .00075?
Yes, it's the ".07" !

0.07 (7%) or any more accurate number below itself is sufficient. (Omit 0.)
0.00075 is a more accurate number than 0.07. It will replace this number in the Final Equation -
highlighted in bold:
.07 x .009 x .46 x . 95 x .05 x .03 x 1.00 x 4.3 million

Here I proved it. The previous guess of "7%" was accurate enough.
*Having a number that is higher is good (but reasonable and not overboard), because you want to prove that Mr. Particular is right, and that the Syndrome is true. 7% was a sufficient guess I had made previously, although on these pages we've made a more concrete number. To give his statement as much of a chance to make it true, I used many generous or lenient percentages. When I say generous, I mean I use numbers higher by some amount than the actual.


Finally, all the info, represented by numbers, have found their moment of valuable use.
We construct the Final Equation, with the new number.
"0.07" (first number), is replaced with ".00075".
(For your custom number, replace the first number in the equation with your number.)
After long awaiting it, here arrives the end. Let's calculate the equation for the treasured answer:

.00075 x .009 x .46 x . 95 x .05 x .03 x 1.00 x 4,300,000

= 0.019 people = 0 people

It's 0? It's true, the answer is 0.
To further explain, the replacement number is the "likely" event.
To prove a likely event doesn't happen, also typically proves an unlikely event doesn't happen.
If the likely event of Urkenbloc eating pineapples doesn't happen, the unlikely event of Noomerate eating pineapples shouldn't happen either.
If the likely event of the car accident doesn't happen, the unlikely event of the rare medical condition shouldn't happen either.
To say it differently: If the equation is not true for a likely car accident (that has a very high percent), then how can it be true for an unlikely rare medical condition (that has a very low percent)?
For comparison, events were changed to numbers for a uniform measure by simple percentages; When I said "very high percent" I mean in comparison.
Additionally, using numbers from facts of yours and mine gives it tangible worth. This gives it some concrete point of reference.

Remember, we used very generous percents, to influence the equation to prove him right.
With generous numbers, realize this answer is created from car accidents. The car accident percent is very high, and would give a high answer. The rare illness percent is very low, and would give (in comparison) a very low answer. From car accidents we produce this shown answer - this answer is sufficient; The conclusion is, from rare illnesses the most true and accurate answer would be much lower.
Furthermore, considering and counting all primary factors involved, the probability of him getting the Syndrome is a sure and confident 0%.
Sorry to say, but this means it's unlikely that he has it.

Though the outcome might not fit your preference, I hope at least these papers have been a pleasant read.
Spring is nearing in North America. Warmer days have been appearing, or will be appearing soon. Though, you can have fun in any season.
Bye. Have a great 2023.







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-- Feb 27, 2022, 11:20pm PST
~ Update: June 25, 2023 | Mar 4 | Mar 3, 5am | Feb 28, 11:50am