Math in general is something that you don't need to know until you need to know it, the problem with "just in time" learning is that if you don't already know it then you won't even be able to know when it's needed and which specific bits of math you need to learn for the specific situation you find yourself in.

If you don't know math, you often won't be able to even realize when math is needed.

There's a Steve Yegge quote about this:

> You'll gradually realize that your math deficiencies aren't just something that you might need to beef up on if you ever "need to"; you'll see that virtually every problem space has a mathematical modeling component that you were blissfully unaware of until Done, and Gets Things Smart gal points it out to you and says, "There's an infinitely smarter approach, which by the way I implemented over the weekend." You stare slack-jawed for a little while, and then she says: "Here's a ball. Why don't you go bounce it?"

Yeah, that's true, and I've been in that situation. Unfortunately the math I was missing was not calculus or anything I had exposure to in school, or any actual experience in practical application. You can't know everything.