^^^
Excellent work.
These two conclusions are rather bleak for acceleration as a fair system, especially taken in tandem:
Using any sort of (non-permanent) acceleration leads to a more unequal distribution of mismatches, so that some top players get an easier path to a high score than others. The least unequal tested was (again) 1-1-1-0.5-0-0.
If a strong player is mistakenly seeded into the bottom half of the field, the 1-1-1-0.5-0-0 method was the worst-performing method, in the sense that the under-rated strong player becomes much more likely to win or finish in the top three than a correctly-seeded player of the same strength. This is because the wrongly-seeded player gets easier games, being shielded by the acceleration from facing the top players until very late in the tournament.
The Reuben-book method (Australian 1 in Otto's tests) can run into a similar problem to the second if the under-rated strong player is actually extremely strong (the player keeps winning against weaker opponents than they should be getting, and the acceleration doesn't end until they stop), hence the supreme importance of accurate ratings.
If all players are correctly seeded, then the distribution of winners is usually* approximately the same under any of the acceleration systems tested. i.e., a top seed who wins 40% of simulated Swisses without acceleration wins about 40% of simulated Swisses with acceleration, whatever the method.
This is interesting. I had previously suspected otherwise based on a trivially small number of simulations so it is good to know that that at least is not a problem.