Earlier quoted context omitted.
Sorry, I rushed it. Did the edit make it clearer?
No, quite the opposite unfortunately :(
The quantity everyone is arguing about is 'the expected gain from swapping envelopes' (http://en.wikipedia.org/wiki/Expected_value). Informally, you might say 'the average gain from swapping envelopes'. The way you work this out is you take all the possible things that could happen and for each one multiply the probability of it happening by the amount you gain if it happens. For example, suppose we play a game where I toss a coin. If it's heads I give you $2 and if it's tails you give me $1. Your expected gain from playing this game is:
E(Gain) = P(Heads)*Gain(Heads) + P(Tails)*Gain(Tails)
= 1/2 * $2 + 1/2 * -$1
= $1 - $0.5
= $0.5
If you play the game repeatedly, your average gain will converge to the expected gain ie if you played the game a million times you would win pretty close t half a million dollars. That's called the law of large numbers (http://en.wikipedia.org/wiki/Law_of_large_numbers). That's why we care about expectation - it tells us what would happen on average over large numbers of repeated trials. It's also very simple to calculate and quite intuitive to reason about.In the case of the two envelopes the problem comes from the fact that there are an infinite number of possible amounts in the envelope. It turns out that adding up an infinite series of numbers doesn't always behave the way you would expect eg
1 + (-1 + 1) + (-1 + 1) ... = 1 + 0 + 0 ... = 1
(1 + -1) + (1 + -1) + (1 ... = 0 + 0 + 0 ... = 0
In the example above we are adding up the same numbers in both cases, but depending on how we group them we get different answers. The same thing is happening in the envelope problem. The different arguments in this thread are just different ways of adding up all the possible cases and they get different results. The actual problem here is that the theory of expectation only applies when the sum is well behaved (http://en.wikipedia.org/wiki/Absolute_convergence).Because the expectation is not well-defined for the envelope problem the law of large numbers does not apply either. If you play the game millions and millions of times your average win per game will not settle down but will keep jumping around forever.
Like the Monty Hall problem (http://en.wikipedia.org/wiki/Monty_Hall_problem), it's interesting because even expert mathematicians often get the wrong answer if they don't carefully work it out step by step. It shows the value of having a formal system of probability to back up intuition.