If you’re the top rated player in Fargo, when does the system decide to increase your rating, as opposed to decreasing everyone else’s rating?
For example, Josh Filler is at 842 and Fedor Gorst is at 838.  These are the two highest ratings.  If Filler starts playing above his average, it seems like the system would have two options:
1.  Increase Filler above 842
2.  Decrease Fedor below 838 and lower all other ratings in the system accordingly.
Which option is best and why?
		
		
	 
The algorithm itself has no answer to this question.  It is equally content with either.  It is also equally content putting Filler at 1000 and Gorst at 995 or whatever and everyone else up 147 points.  This is because all the algorithm cares only about rating differences, like the gap between Filler and Gorst.  We have to essentially answer this question ourselves after the algorithm is done each day.
 If we want the numbers to represent an actual skill level, then (1) is a more sensible choice. It is more likely that Filler--one person--was underrated before (or changed his skill level) than it is that many people were over rated (or changed their skill levels).
Here are a couple potential ways to do it and a comment:
(1) Shift the ratings each day so that the average established rating--currently at 480.2 for 75,000 players--stays the same.
As lower skilled players enter the system at greater rates (our expectation), "480.2" and every other rating will slowly represent less skill today than it did yesterday.
(2) Shift the ratings each day so that the average of the top 200 (or some other number) of players remains fixed. 
This has the opposite drift as (1). As new top players --e.g., from Philippines or China-- enter the system, the average skill of the top 200 goes up. If we keep the average rating fixed, a given rating will represent more skill today than it did yesterday.
(3) Make a list of top 200 players at beginning of year and require the average rating of those 200 players remains fixed throughout the year. Then at the beginning of the next year create a new list (for which some of the previous year's 200 will be gone and some new members will come on) and do the same thing.
(4) Do (3) with a new list each month instead of each year
(5) Do (3) with a new list each day instead of each year
(6) Do (3), (4), or (5) with 2,000 or 20,000 or some other number rather than 200.
(7) For any of (3),(4), (5) or (6), should it be the average rating that is fixed or the average variance-weighted rating that is fixed.  
(8) Or maybe this is all barking up the wrong tree and we should instead focus on the average rating or weighted average rating of people who DON'T play staying fixed.