I've been trying to stay out of trouble, but I thought this was amusing enough to post.
For the heck of it, I did another simulation of seeding vs. random circle allocation. I was a little more scientific this time, I think, but came to pretty much the same conclusions as last time.
I took the order of contestants by actual performance capability at a given Nats, then added a seeding error to each. I assumed that the error in how each guy is seeded is random and has a normal distribution with zero mean and some standard deviation. I ran the simulation with standard deviations of 2, 4, and 6 places. I added this seeding error (a different random number to each guy each time) to each guy's ranking, resorted the ranking, and folded the seeds with the new ranking into the four circles per our Nats process. I then sorted each circle by actual performance capability and recorded the five in each circle who qualified. I compared the various seedings with random circle allocation. I probably should have seeded about 70% of the contestants, as we do in Open at the Nats, and done the rest randomly, but I didn't know how to model that.
One peculiarity is the lumpiness of the random outcome. It didn't get any smoother with number of trials, so I guess it's something real. It could be some error I made, but I suspect it has to do with how guys stack into the four circles.
The upchuck is that seeding has little effect on the 20th best guy-- at least with a 40-contestant Nats. It appears to affect the 16th-best and 24th-best guys most. The top guys always qualify.