It is not important that successful people are actually the most talented as well. Successful people are the most fortunate.
According to the new computer model of wealth creation, keeping in mind that there can be the maximum return on many types of investments.
Distribution Pattern for successful people
The pattern of distribution is also called the 80:20 rule.
The rule means 80% of the wealth is owned by 20% of the people.
Indeed, a final year of the report stated that only eight men had total wealth equal to the world’s poorest 3.8 billion people.
By the way, these occur on all scales in all societies.
This well-studied pattern is also called a power law.
We live in a social structure, in which people are ready again for their talent, intelligence, effort, etc.
Over time many people feel that this changes to the wealth distribution that we see although a healthy dose of luck may play a role.
But one problem with this idea is that the distribution of wealth follows a power law.
The distribution of human skills generally follows a normal distribution that is symmetric about the mean value.
Why do so few people have such wealth?
By the way, we live in a social order in which people are rewarded for their talent, effort, hard work, and intelligence.
Over time people feel that this translates into wealth distribution that we actually see.
Money distribution always follows a power law. Distribution of human talent.
How are intelligent people measured?
Well, intelligent people are actually measured by IQ tests. According to the pattern, the average IQ is 100 but none has an IQ of 1000 or 10000.
It is also the same as an effort which is measured by the hours worked, some people work more than the average and some work less but no one can make millions or billions of hours.
If it comes to a reward for work, some people have billions of times more money than others.
According to many studies, the richest people, in general, have not generally been shown to be the most talented by other measures.
How can a person become rich?
According to the work of Alessandro Plucchino and some of his colleagues at the University of Catania, Italy. He has created a computer model of human talent and the way people use it to exploit opportunities in life.
Their model allows the team to study the role of chance in the process.
The results are completely different. They resume wealth distribution in the real world but it is not important that the wealthiest people are also the most talented.
It is also important…
Society can optimize the returns they get for investing in everything from business to science.
Pluchino and its model are simple and straightforward, it consists of n people with a certain level of talent, skill, intelligence, functionality and so on.
Talent is usually distributed at an average level with standard deviations.
Some people are more talented, some are less.
Even this is similar in human distribution to their skills or characteristics such as height and weight. Even some people are smaller, taller than the average size, but none are equal to an ant, so we are all quite similar.
According to the computer model chart, each person lives a life of 40 years. During the period the single person experiences fortunate events that they can exploit to increase their wealth. They are talented enough.
Well, sometimes they also feel inauspicious when their wealth is sometimes reduced.
Plucchino at the end of 40 years of well working and study the personal rank and characteristics of the most successful, based on wealth.
Even they repeat the process many times
To check the robustness of the result.
Distribution is seen in real-world societies when teams distribute individually based on funds.
80% of Rule C is respected because 80% of the population owns only 20% of the capital as reported by Plucchino and co.
Well, it is not surprising if the richest 20% are the most talented people.
The wealthiest people are not the most talented. Maximum success is never, according to researchers, maximum talent and vice versa.
His team also shows rankings throughout his 40-year career. If person
They are also the luckiest.
Less successful people are inauspicious.
It is also an implication for societies that are the most effective strategy for exploiting the role of luck in success.
Plucchino at the end of 40 years of well working and study the personal rank and characteristics of the most successful, based on wealth.
Even they repeat the process many times…
To check the robustness of the result. Distribution is seen in real-world societies when teams distribute individually based on funds.
80% of Rule C is respected because 80% of the population owns only 20% of the capital as reported by Plucchino and co.
Well, it is not surprising if the richest 20% are the most talented people.
The wealthiest people are not the most talented. Maximum success is never, according to researchers, maximum talent and vice versa.
His team also shows rankings throughout his 40-year career. If person
They are also the luckiest.
Less successful people are unlucky ones
It is also an implication for societies that are the most effective strategy for exploiting the role of luck in success.
Most of the world’s funding agencies are interested in maximizing their return on investment in the scientific world.
The European Council invested $ 1.7 million in a program that studies sapidity
The role of scientific discovery and how it can be exploited to improve funding results.
Well, Plucchino’s model is ready to answer for the best returns when luck is taken into account. His team studies on three models in which research is distributed equally to all scientists or preferably to those who have the most successful past.
Which is the best strategy?
The good strategy distributes the best return among all researchers to divide the funding evenly and the second and third best strategy involves distributing all random or 10 to 20% scientists.
These cases are capable of taking advantage of serious discoveries that occur from time to time.
It is clear that the fact that a scientific cause has played an important role in discovering in the past does not mean that it is more likely to be made in the future.
Even the same approach can be applied to other types of enterprises such as small or large businesses, tech start-ups, investments in education that actually enhance the talent, or the creation of lucky events.
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