“99 % of people who give up are employed by 1 % who never gave up”- Billionairesmotivation.com
In the above quote, 1% refers to those people who are following their passion in spite of all problems, the remaining 99% of people are those who are unhappy but are afraid to take the required risks. This is the basic algorithm used by life when it segregates successful people from stagnant people.Often, we come across situations in life where we find ourselves standing on a crossroad from where emerge two different pathways. It is the choice, we make at the point that decides our destination. Unlike actual crossroads, we can anticipate to some extent the opportunities, hardships, and the probable milestones offered by the path chosen by us.
Generally, we tend to decide based on two factors- the amount of effort to be put on our behalf and the possibility of getting success. This probably is the reason why most of us stick to the 9-5 job life, as, owning a business will demand a great amount of effort at a point where success seems far fetched.
This is the point where the people who are passionate about success think differently from people who want stability. That 1 % population decides based on target and stakes. Given a situation where on one path you might have to path an enormous amount of effort and the chances of succeeding are just 1 %, and on the other path you can live a stable life at the cost of your target; what would you chose?
This choice shows your deep desire. If it is ‘success’, you will gladly choose the path that offers 1 % possibility. On the contrary, if it is stability, you will gladly give up the path with an enormous amount of effort. It is all about perspective. This perspective and the resulting choice sends a signal to nature. On such repeated signals, nature offers you what you desire.
Success is not about privilege or talent. It is mostly about this choice.
Not everybody wants to be an entrepreneur. This is just an effort to inspire those who are unhappy with their career path and fear taking the required risk.
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