[continued from previous message]

so if you are really smart you will notice that Adam smith, the father of economic Liberalism, has said that in an economic system we have to specialize the individuals of a society so that to be efficient and productive, but i think that Adam Smith was
not so right, since the weakness of his model is that his model make like more stupid people that lack societal smartness, and we can easily notice it on internet that individuals lack societal smartness of understanding the right dose of philosophy or
the right dose of politics that makes them a good citizens, and more than that we can also easily notice that in our today world, the individuals are expressing too much there differences in a not correct way, such as being sadist or masochist or the
being negro or the being white or the being too sexual or too hot and the like, without giving the right importance to the being the right societal smartness that makes us good citizens that can live in harmony, and this of course requires knowing how to
live together in harmony, and this knowing how to live together in harmony requires the right and the good philosophy to follow, and so that to answer more smartly my above philosophical question, i invite you to look at the following video so that you
notice what is the problem with Africa:

Sénégal, le sage de l'Afrique - Dakar - Saint-Louis - Documentaire voyage - HD

https://www.youtube.com/watch?v=LqWluJkJZjI


So i think from looking at Africa in the above video, i am noticing
that it also lacks societal smartness that i am talking about, and to answer the above philosophical question of:

What is the essence of a civilization or what is the important
ingredients that make a civilization ?


I think that the engine of a civilization is not only money,
because big money doesn't add much individual happiness to having individually enough money ( look at the following video from a techlead so that to notice it: https://www.youtube.com/watch?v=F1kQmeIsCVs ),
so i think that the engines of a civilization is both self-improvement
and money , and this self-improvement has to know about the "goals"
that are also the being this well balance between the individual smartness and the societal smartness so that to give form to a civilization and so that to make the good citizen, and of course we have to know how to make loving the way of self-
improvement in such a way.

And here is my new proverb that explains more my views:

"Passion is not a good engine since it is much less powerful,
so if for example you have passion for sex, then can you make sex
a passion that guides you ? no, so then it is not a general or
much more general way of doing, so i think that individual
happiness comes from the satisfaction of self-improvement,
and does money = happiness? I think that big money doesn't
add much individual happiness to having individually enough money
( look at the following video from a techlead so that to notice it: https://www.youtube.com/watch?v=F1kQmeIsCVs ), but big money
can add much to societal happiness, and big money builds empires."

In my above smart new proverb , i am saying that individual happiness comes from satisfaction of self-improvement, and I invite you to read
my following thoughts of my philosophy that talks about it and
about how you become self-confidence and how you become this
positive energy and positive energy of hope:

https://groups.google.com/g/alt.culture.morocco/c/RNxOWBpkHkM

And here is my other new proverb that also talks about how individual happiness comes from satisfaction of self-improvement:

"When you walk towards a goal in life it's like you walk down a forest
path towards a goal, but when you walk this forest path you can look at
flowers and pretty trees and be happier or you can also learn more and
have more experience which is useful while walking in the forest, then
life is like this, you can go through it towards goals, but going
through it you can also have pleasures that make you happier and you can
learn more and have more experience and that is useful to you, and i
think this conception of life makes you more positive."

And here is the translation in french of my new proverb:

"Quand tu marches vers un objectif dans la vie, c'est comme tu marches
dans un chemin de forêt vers un objectif, mais quand tu marches dans ce
chemin de forêt tu peux regarder des fleurs et de jolis arbres et être
plus joyeux ou tu peux aussi en apprendre plus et avoir plus
d'expérience qui est utile en marchant dans la forêt, alors la vie
ressemble à cela, tu peux la traverser vers des objectifs, mais en la traversant tu peux avoir aussi des plaisirs qui te rendent plus heureux
et tu peux apprendre plus et avoir plus d'experience et cela t'est
utile, et je pense que cette conception de la vie te rend plus positif."

So you have to understand that my proverb above is like
trying to well balance between, in one side, our strong human desire for success and the fear or the disliking of failure to attain the goal,
and, in the other side, i am showing in my new proverb the good sides or advantages or the pros of walking our lives towards the goal or goals
even if failure or failures happen(s), and i think this conception of
life of my proverb permits to be more positive, also you have to align
the usefulness of the utility with the global mission of the country or
global world"


Also I have searched more on internet the most precise and correct Gödel's First incompleteness theorem, and here it is:

"Any consistent formal system F within which a certain amount of elementary arithmetic can be carried out is incomplete; i.e., there are statements of the language of F which can neither be proved nor disproved in F"

And in mathematics, a statement is a declarative sentence that is either true or false but not both. A statement is sometimes called a proposition. The key is that there must be no ambiguity. To be a statement, a sentence "must" be true or false, and it
cannot be both.

So that means that we know that the statement is true or false but
it can not be proven true or false, so we then logically infer that
we can not prove the consistency of the system , so the statement can be that it is like an axiom in mathematics that is true but that we can not prove by such logical inference or deduction, so then the system
remains really useful even if it's incomplete by Gödel's incompleteness theorems, so i think that Gödel's incompleteness theorems are not so problematic.


More of my philosophy about quality control and more of my thoughts..

I have just looked and understood quickly the following paper about SPC(Statistical process control):

https://owic.oregonstate.edu/sites/default/files/pubs/EM8733.pdf


I think i am highly smart, but i think that the above paper doesn't speak about the fact that you can apply the central limit theorem as following:

The central limit theorem states that the sampling distribution of the mean of any independent, random variable will be normal or nearly normal, if the sample size is large enough.

Also the above paper doesn't speak about the following very important things:

And I have quickly understood quality control with SPC(Statistical process control) and i have just discovered a smart pattern with my fluid intelligence and it is that with SPC(Statistical process control) we can debug the process, like in software
programming, by looking at its variability, so if the variability doesn't follow a normal distribution, so it means that there are defects in the process, and we say that there is special causes that causes those defects, and if the variability follows a
normal distribution, we say that the process is stable and it has only common causes, and it means that we can control it much more easily by looking at the control charts that permit to debug and control the variability by for example changing the
machines or robots and looking at the control charts and measuring again with the control charts

And I have just put my thoughts below about the agile methodology, so i invite you to read my thoughts again carefully:

More precision about more of my philosophy about specialization and about quality and about Adam Smith and more of my thoughts..

I think i am highly smart, and i have passed two certified IQ tests and i have scored above 115 IQ, and i will now talk about another important idea of Adam Smith the father of economic Liberalism, and it is about "specialization" in an economic system,
since i say that in an economic system we have to be specialized in doing a job so that to be efficient and productive, but not only that, but we have to specialize in doing a job in what we do better so that to be even more efficient and productive, and
we have to minimize at best the idle time or the wasting of time doing a job, since i can also say that this average idle time or wasting time of the workers working in parallel can be converted to a contention like in parallel programming, so you have
to minimize it at best, and you have to minimize at best the coherency like in parallel programming so that to scale much better, and of course all this can create an economy of scale, and also i invite you to read my following smart and interesting
thoughts about scalability of productivity:

I will talk about following thoughts from the following PhD computer scientist:

https://lemire.me/blog/about-me/

Read more here his thoughts about productivity:

https://lemire.me/blog/2012/10/15/you-cannot-scale-creativity/

And i think he is making a mistake:

Since we have that Productivity = Output/Input

But better human training and/or better tools and/or better human smartness and/or better human capacity can make the Parallel productivity part much bigger that the Serial productivity part, so it can scale much more (it is like Gustafson's Law).

And it looks like the following:

About parallelism and about Gustafson’s Law..

Gustafson’s Law:

• If you increase the amount of work done by each parallel
task then the serial component will not dominate
• Increase the problem size to maintain scaling
• Can do this by adding extra complexity or increasing the overall
problem size

Scaling is important, as the more a code scales the larger a machine it
can take advantage of:

• can consider weak and strong scaling
• in practice, overheads limit the scalability of real parallel programs
• Amdahl’s law models these in terms of serial and parallel fractions
• larger problems generally scale better: Gustafson’s law


Load balance is also a crucial factor.


And more of my philosophy about the Post Graduate Program on lean Six Sigma and more..

I think i am really smart and i invite you to read carefully the following webpage of Alan Robinson Professor of Operations Management at University of Massachusetts and that is a full-time professor at the Isenberg School of Management of UMass and a
consultant and book author specializing in managing ideas (idea-generation and idea-driven organization) and building high-performance organizations, creativity, innovation, quality, and lean management:

https://www.simplilearn.com/pgp-lean-six-sigma-certification-training-course?utm_source=google&utm_medium=cpc&utm_term=&utm_content=11174393172-108220153863-506962883161&utm_device=c&utm_campaign=Display-MQL-DigitalOperationsCluster-PG-QM-CLSS-UMass-
YTVideoInstreamCustomIntent-US-Main-AllDevice-adgroup-QM-Desktop-CI&gclid=Cj0KCQiA3rKQBhCNARIsACUEW_ZGLHcUP2htLdQo46zP6Eo2-vX0MQYvc-o6GQP55638Up4tex85RBEaArn9EALw_wcB


And notice in the above webpage of the professor, that he is giving Post Graduate Program in Lean Six Sigma and on agile methodology, and i think that this Post Graduate Program is easy for me since i am really smart and i can easily understand lean Six
Sigma or Six Sigma and i can easily understand agile methodology, and notice that i am in my below thoughts also explaining much more smartly what is agile methodology, and i think that the more difficult part of Six Sigma or lean Six Sigma is to
understand the central limit theorem and to understand what is SPC(Statistical quality control) and how to use the control charts so that to control the variability of the defects, and notice that i am talking about it in my below thoughts, but i think
that the rest of lean Six Sigma and Six Sigma is easy for me.

More of my philosophy about Six Sigma and more..

I think i am really smart, and now i will talk more about Six Sigma
since i have just talked about SPC(Statistical quality control), so
you have to know that Six Sigma needs to fulfill the following steps:

1- Define the project goals and customer (external and internal)
deliverables.

2- Control future performance so improved process doesn't degrade.

3- Measure the process so that to determine current performance and
quantify the problem.

4- Analyze and determine the root cause(s) of the defects.

5- Improve the process by eliminating the defects.


And you have to know that those steps are also important steps toward attaining ISO 9000 certification, and notice that you can use SPC(Statistical process control) and the control charts on step [4] and step [5] above.

Other than that i have just read the following interesting important paper about SPC(Statistical process control) that explains all the process of SPC(Statistical process control), so i invite you to read it
carefully:

https://owic.oregonstate.edu/sites/default/files/pubs/EM8733.pdf

So as you notice in the above paper that the central limit theorem
in mathematics is so important, but notice carefully that the necessary and important condition so that the central limit theorem works is that you have to use independent and random variables, and notice in the above paper that you have to do two things
and it's that you have to reduce or eliminate the defects and you have to control the "variability" of the defects, and this is why the paper is talking about how to construct a control chart. Other than that the central limit theorem is not only related
to SPC(Statistical process control), but it is also related to PERT and my PERT++ software project below, and notice that in my software project below that is called PERT++, i have provided you with two ways of how to estimate the critical path, first,
by the way of CPM(Critical Path Method) that shows all the arcs of the estimate of the critical path, and the second way is by the way of the central limit theorem by using the inverse normal distribution function, and you have to provide my software
project that is called PERT++ with three types of estimates that are the following:

Optimistic time - generally the shortest time in which the activity
can be completed. It is common practice to specify optimistic times
to be three standard deviations from the mean so that there is
approximately a 1% chance that the activity will be completed within
the optimistic time.

Most likely time - the completion time having the highest
probability. Note that this time is different from the expected time.

Pessimistic time - the longest time that an activity might require. Three standard deviations from the mean is commonly used for the pessimistic time.


And you can download my PERT++ from reading my following below thoughts:

More of my philosophy about the central limit theorem and about my PERT++ and more..

The central limit theorem states that the sampling distribution of the mean of any independent, random variable will be normal or nearly normal, if the sample size is large enough.

How large is "large enough"?

In practice, some statisticians say that a sample size of 30 is large enough when the population distribution is roughly bell-shaped. Others recommend a sample size of at least 40. But if the original population is distinctly not normal (e.g., is badly
skewed, has multiple peaks, and/or has outliers), researchers like the sample size to be even larger. So i invite you to read my following thoughts about my software
project that is called PERT++, and notice that the PERT networks are referred to by some researchers as "probabilistic activity networks" (PAN) because the duration of some or all of the arcs are independent random variables with known probability
distribution functions, and have finite ranges. So PERT uses the central limit theorem (CLT) to find the expected project duration.

And as you are noticing this Central Limit Theorem is also so important
for quality control, read the following to notice it(I also understood Statistical Process Control (SPC)):

An Introduction to Statistical Process Control (SPC)

https://www.engineering.com/AdvancedManufacturing/ArticleID/19494/An-Introduction-to-Statistical-Process-Control-SPC.aspx

Also PERT networks are referred to by some researchers as "probabilistic activity networks" (PAN) because the duration of some or all of the arcs are independent random variables with known probability distribution functions, and have finite ranges. So
PERT uses the central limit theorem (CLT) to find the expected project duration.

So, i have designed and implemented my PERT++ that that is important for quality, please read about it and download it from my website here:

https://sites.google.com/site/scalable68/pert-an-enhanced-edition-of-the-program-or-project-evaluation-and-review-technique-that-includes-statistical-pert-in-delphi-and-freepascal

---


So I have provided you in my PERT++ with the following functions:


function NormalDistA (const Mean, StdDev, AVal, BVal: Extended): Single;

function NormalDistP (const Mean, StdDev, AVal: Extended): Single;

function InvNormalDist(const Mean, StdDev, PVal: Extended; const Less: Boolean): Extended;

For NormalDistA() or NormalDistP(), you pass the best estimate of completion time to Mean, and you pass the critical path standard deviation to StdDev, and you will get the probability of the value Aval or the probability between the values of Aval and
Bval.

For InvNormalDist(), you pass the best estimate of completion time to Mean, and you pass the critical path standard deviation to StdDev, and you will get the length of the critical path of the probability PVal, and when Less is TRUE, you will obtain a
cumulative distribution.


So as you are noticing from my above thoughts that since PERT networks are referred to by some researchers as "probabilistic activity networks" (PAN) becaus