I learned early that outcomes aren’t random. They follow cause-and-effect, and the best advantage is seeing those causes clearly.
When I started writing down what worked and what failed, the notes turned into repeatable rules. Over time, those rules became my principles—simple statements that help me make decisions when emotions and noise try to take over.
The aim is not to be right all the time. It is to build a system that catches mistakes quickly, turns pain into learning, and keeps improving. That system works best when it is shared: people can disagree openly, test ideas against reality, and let the best thinking win.
I came to treat life and work like machines. Understand the machine—inputs, incentives, feedback loops—and you can change the results without relying on luck or moods.