Man, I should have something better to do on a Friday night.
Let me try this. I need to be clear - in the OP we must agree that the east- and west- bound speakers have an equal chance of speaking up, right? You’re not assuming that the East-bound guy will always be the first to speak, right? Otherwise, that’s were the problem is.
Now, we don’t seem to have any problem with the WW or EE pairs, so let’s leave those out for now. That leaves the WE and EW group. You seem to think that all of these pairs are headed for the east side, because one of them wants to go there. I say, since they have an equal chance to be heard first, only half of the WE pairs are going to go east (i.e. only those in which the E speaks first), and only half of the EW pairs are (again, for the same reason). This means that only half of the mixed pairs are headed east. This is the same number of EE pairs that are headed east, hence, the probability is 1/2.
In the coin toss example, you’re willing to tell me (or let the psychic tell) that at least one of the coins is heads. Fine. But in the cab example we know more information. We know that one guy wants to go east, but we also know that the west-bound guy had an even chance to speak up and that did not happen. That’s the difference.
The equivalent situation would be if your coins had an even chance of speaking up for themselves. You could then be looking at a head and tail (in either order)and truthfully say “I have at least one head”. But then half the time I’d hear a coin chirp up and say “I’m a tail!” Then I’d know you’re not looking at two heads. This would eliminate half of the HT combos.
Now, let me step back and take a shot at something else DFox said. You said you offered an “experimental methodology to prove it”. Well, you really did no such thing. This is a mathematics problem, and and cold hard logic and axioms rule the proofs. Mathematicians do not perform expriments to form proofs. Descriptions of experiments may be illistrative and useful, but there’s no way to experimentally prove (for example) the irrationality of Sqrt(2) or the theorem of Pythagorus.
You also wondered about how information can change an outcome. Well, think about this, the real outcomes of how many cabs go in which directions are not changed at all by the information we’re talking about. What we are discussing is conditional probability, and, of course, the conditional probability of where a given cab will go is dependent on what we know about the guys in the cab. The outcome doesn’t change, but our expectation of the outcome in cases where we have incomplete information is what probability tries to quantify.