It works all the same if you manage to get it right on the first try. There are a lot of factors that go into getting the right count, and because of this, some of those factors can be overlooked quite easily. In my thread I showed that it works. I also had a couple of bad counts that needed revision. This happens, and once you are on the right count, you can continue to track the movements with far greater accuracy than any amount of coin flipping or luck.
The problem with such a long term count is that there can be many paths to the same end. So getting it right, from the start, is very difficult.
Basically what your saying is: It works, if by chance you pick the right model out of 'n' models, with 'n' approaching infinity.
Doing "revisions" is admitting that the model doesn't work and that the prediction was wrong.
He shows different possibilities too.
That's how these experts do business: Show many possibilities, hoping that at least one of them will materialize at least to some extent. Then they say "I'm an expert, told ya so!". But such kind of "analysis" is deceptive crap. It has no value and predicts nothing.
Again, if Elliott Wave theory would work you would have an algorithm to do the prediction job for you. There would be no "bad counts" or similar excuses, because everything would be clearly defined. But that's not the case. Essentially Elliott Wave theory hides its esoteric nature behind a fog of a pseudo-complex, loosely defined rule set.
ya.ya.yo!
> Basically what your saying is: It works, if by chance you pick the right model out of 'n' models, with 'n' approaching infinity.
No, that's actually not what he's saying at all.
If I'd get the impression that you are at least ever so slightly inclined to at least try to learn how it might work, I'd give a slightly more formal explanation of what (I believe) it does, and what it doesn't do.
But as it stands now, judging by the style of your answer, I'd waste my breath (or rather: my time, typing out a longer reply)
> Again, if Elliott Wave theory would work you would have an algorithm to do the prediction job for you.
Got it. If it's not fully algorithmic, it doesn't work.
I made this analogy before, in a different discussion, but here it goes again: Tell that ("if it's not formal enough to be an algorithm/computable, it's worthless") to the early computer scientists programming chess engines with insufficient processing power to brute force a victory against a human GM (basically, the state of the world until IBM came along and set their goals). A lot of what a human GM does, apart from the inate intelligence and year after year of training is learning the theory of the game. If you'd ever happen to look into a book of, say, opening theory, you'd notice pretty quickly that the strategies outlined in there are decidedly "unalgorithmic". Didn't change the fact that those who learned the strategies were better than a purely algorithmic machine (until Moore's law took care of that, and the implementation of the theoretic aspects of chess *did* in fact progress far enough, more recently).
tl;dr If it's not algorithmic, it's difficult to show (in an isolated experiment) that it works, but from "difficult to show in isolation that it works" you shouldn't conclude that it doesn't work.