A real world example. I see, it's possible to predict events on stock market. Logically would be, not to go all-in, because it's nearly to impossible. It's really is if you think of how many tried and failed. And just logically: it isn't possible to foresee when Elon or others start to tweet farts. The market is too dynamical.
With this universal knowledge, it would be stupid not to take on the job for me and you. But what if I really see a way to predict stock market movements good enough?
It's not good enough for going all-in. One would need more data and information and assessment of the do-ability compared to time needed.
And so on..
So from the point of view of your text:
Did you do market research or is it just "I know it"?
Is it a trade between studying degree vs. your idea?
What happens if your idea is not working like expected? Possible pivots without much work?
And so on.. it's a classic thinking-all-through. Believing is not enough in a data driven world :)