If I had to choose one useful math concept for daily life, I would choose probability with a little statistics.
The reason is that many everyday decisions are not about exact calculation. They are about uncertainty:
- Is this risk worth taking?
- Is this discount actually good?
- Is this result meaningful or just noise?
- Am I reacting to one example instead of the base rate?
For example, if a medical test is 99 percent accurate, that still does not tell you the chance you actually have the disease. You also need the base rate: how common the disease is before testing. That is Bayes-style thinking.
Another daily example is averages. If someone says "the average salary is high," you should ask whether a few extreme values are pulling the mean upward. Sometimes the median tells the story better.
So my answer is not one formula. It is the habit of thinking:
"What is the denominator? What is the base rate? How much uncertainty is there?"
That habit protects people from bad headlines, misleading ads, gambling fallacies, and overconfident decisions.