I'm neither misreading nor missing your point.
When your example is included in Norvig's simulation, it will result in two parties coming together, and instead of an interaction of (-1, +1), the interaction (+1, +1) will happen.
However, when such interactions are randomly mixed with zero-sum trades, and the simulaion is run over N (population) and t (time), it will result in net wealth W_after > W_before.
In order to mimic real-world scenario, the prob distribution has to be chosen such that the W_after is between 0.98 to 1.06 of W_before (in other words, between -2% to 6% growth, more or less). Anything far outside this bound would be highly unrealistic for a functioning economy.
However, when you impose this condition, you would realize that the (+1, +1) events have negligible impact, and that (-1, +1) type of events dominate. In other words, Norvig's conclusion pretty much does not change.
And that is my point. Mixing in a fraction of individual positive-sum interactions doesn't change the results, if the total wealth growth is capped based on real-world macroeconomic data.