Most people who take calculus in high school will never, ever, do a derivative or integral in their life, nor will they use their understanding of calculus to unlock more mathematical topics.
Most people who never, ever, take a statistics class will get statistical concepts and problems hurled at them from every conceivable angle in both their professional and personal lives. Since I know statistics and math, I enjoy a great deal of trust from people when it comes to the data science work I do, more so than if I were to enter a discussion around building software with non-programmers. And I know this is not because I'm a genius, it's because people don't feel like they know enough about statistics to challenge my claims, even though they will make decisions based on what I tell them. And then we have the people who don't know statistics, but think they do, and start inferring all types of causations based on some insignificant patterns they've found.
If we want more informed voters, managers, employees, politicians, consumers and decision makers in general I cannot overstate how important it is to understand that there is such a thing as different distributions, that you can estimate them, how variance actually works and what "significant" actually means. At least relative to taking the derivative of a third degree polynomial.