Given the following preference strengths for the A and B supporters, 
40 A>>C>B
30 B>C>>A,
which of the following preference schedules is more credible or likely for the 
C supporters?
(1)     30 C>A>B ?  or
(2)     30 C>B>A ?
You might think that there is no way of knowing that one is more likely than 
the other.  But try mapping 
them out in an issue space.  It is very easy to make preference order (2) 
graphically consistent with the 
A and B supporter preference strengths, but impossible to do the same for 
preference order (1), unless 
we allow extremely non-symmetric metrics, where the distance from x to y is 
very different from the 
distance from y to x.

I believe that Jameson Quinn is right when he says that most Condorcet cycles 
are probably artificial, 
i.e. they are caused by strategic truncation or strategic burial.  
Condorcet efficient methods that discourage these two strategies will almost 
always find a Condorcet 
Winner.

The only exception should be in the case of a “low utility CW,” and since 
ordinal ballots cannot discern 
between high and low utility CW’s,  there either has to be an approval cutoff 
for the purpose of detecting 
low utility alternatives or else there has to be a strategic option for 
defeating low utility CW’s.
Consider the following electorate profile, for example:
40 A>>C>B
30 B>>C>A
30 C
Alternative C is a low utility CW.  Any Condorcet efficient method gives C the 
victory.  But alternative A 
is the obvious approval winner, so A should have at least some probability of 
winning.  The natural way to 
accomplish this is for the A supporters to bury C.
Deterministic Condorcet efficient methods may or may not  give the victory to A 
as a result of such a 
burial.  But a method that uses a certain amount of randomness to resolve 
cycles would give alternative 
A some  share of the probability, because such a method would not discourage 
the burial of a low utility 
alternative.
In particular, when the method reduces to random ballot applied to the Smith 
set in the case of three 
alternatives, in that case it punishes the burial of a high utility CW but does 
not punish the burial of a low 
utility CW.
Any Condorcet efficient method that doesn’t use at least a modicum of 
randomness to resolve cycles 
should allow for approval cutoffs and incorporate the approval information in a 
way that does not punish 
the burial of low utility CW’s.
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