Having done a math PHD and now working as a programmer I find math proofs and programming semi-similar. Though I think programming is less "relaxing." In mathematics if you have an argument that works and isn't insanely complicated you can call yourself victorious. You can look for a simpler method if you want but there is really no imperative to do so. In programming there is almost always a better way to solve a given problem and the differences in speed matter alot.
High barrier to entry. I expect that at my current skill level I'd get caught pick-pocketing the first time I tried it, and that would impact my ability to try it a second time.
It seems like you just really like programming.
There's a seemingly limitless amount of skills that fit these criteria:
I disagree with the statement that electronics "is basically still programming". There are similarities between the two, but also significant differences; particularly if you consider electronics outside of the digital realm.
I also do not understand why you question whether math is "useful in the real world". I imagine that anyone involved in engineering, science, finance, artificial intelligence, marketing or a great many other "real world" occupations would vouch for the usefulness of mathematics.
Social skills. If you have no skills at all, simply going to omegle and chatting with strangers can be a first step.
If you want to get further you can focus on dating, coaching, negotiating or networking.
Studying stuff using spaced repetition systems, e.g. Duolingo. (Though it may lack "useful in the real world" depending on, among other things, what exactly you're learning.)
Music. It's pretty much all math. Every part of it. When you try to learn a riff, and you play it, and it sounds like you think it should, interesting things happen.
Look at a piano keyboard or guitar fretboard. Pick a note at random.
To make a particular chord, the next notes are not random.
It doesn't require advanced math, but there are discrete states the instrument can be in.
Catching a ball in midair is nothing like figuring out what sounds cool on an instrument.
Catching a ball in midair is nothing like figuring out what sounds cool on an instrument.
Right, if anything catching the ball is far closer to "math" since it isn't culturally dependent and has an objective set of solutions, whereas what sounds like good music is highly dependent on cultural contexts. So if only one of these two is labeled as math it should be the ball catching. But that's connected to why neither should be called math or claimed that it takes math.
Programming is quite a remarkable activity: