He experimented, refined, and poured all his resources and time into it, always believing that just a little more effort would give the algorithm perfect threshold.
At the same time, other colleagues in the Institute are focusing on applying existing algorithms to practical problems, satisfied with an accuracy rate of 90% to 95%. They accept that in the real world, enough is usually better than perfect, never coming.
After 3 years of tireless work, the young scientist's project has reached the final evaluation stage. His algorithm is more powerful than anything else in the market, processing data quickly and flexibly. However, it was stuck at an accuracy rate of 99.5%.
The entire review team recognized the value of the algorithm, but the scientists still felt a failure because they were still 0.5% short of their original target. Disappointment turns into anger and bitterness.
After that, at the reporting meeting, he stood up and presented his algorithm. But instead of focusing on the great advantages it has achieved, he focuses on justifying his failure. And the easiest way to justify it is to deny it. He said for a moment, giving enough reasons and then concluded: "That "ripe" standard, in fact... it is not really worth it".
After the meeting, the scientist decided to give up the 99% perfect goal and move to a new research field. He felt relieved to have freed himself from an unreasonable burden.
But ironically, just a few months later, another research team, with a different approach and accepting to work a little harder, successfully achieved 99% by using their own algorithm, just a final layer of refinement that he ignored because he was too tired and frustrated.
Technology is praising that research group, at this time, the young scientists understand that what he calls "unnecessary" is truly an excuse for their own impatience. The goal is not to change values by yourself, just change your perspective to ease your personal failures.
