>It's still in a class of pure "guessing" because just because something looks "correct" early on is meaningless two steps into the future.
It's true that a "good" decision now might turn out to be "bad" later, but whether it's effective in improving a solution depends on the fraction of times that happens, which is almost certainly not 50%. Hill-climbing methods like this are used everywhere in optimisation when you want a decent solution quickly and don't require optimality.
>somewhat analogous to predicting that a coin flip will land on 'heads' if it landed on heads at the last flip
I'm no statistician either, but this is not analogous at all.
What you described wasn't Hill Climbing at all tho. You have to be able to take the derivative of a function to do that. The derivative is what tells you how to "go uphill" (or down)