I have a proposal that uses the same pairwise win/loss/tie information that 
Copeland is based on, along with 
the complementary information that Approval is based on.  It’s a simple and 
powerful Condorcet/Approval 
hybrid which, like Copeland, always elects an uncovered candidate, but without 
the indecisiveness or clone 
dependence of Copeland.

I used to call it UncAAO, but for better name recognition, I’m changing the 
name to Majority Enhanced 
Approval (MEA).

The method is extremely easy to understand once you get the simple concept of 
covering.  Candidate X 
covers candidate Y if candidate X pairwise beats both Y and every candidate 
that Y beats pairwise.

MEA elects the candidate A1 that is approved on the greatest number of ballots 
if A1 is uncovered. 
Otherwise it elects the highest approval candidate A2 that covers A1 if A2 is 
uncovered.  Otherwise it elects 
the highest approval candidate A3 that covers A2 if A3 is uncovered.  
Otherwise, etc. until we arrive at an 
uncovered candidate An, which is elected.

MEA satisfies Monotonicity, Clone Independence, Independence from Pareto 
Dominated Alternatives, and 
Independence from Non-Smith Alternatives, as well as all of the following:

1.  It elects the same member of a clone set as the method would when 
restricted to the clone set.

2.  If a candidate that beats the winner is removed, the winner is unchanged.

3.  If an added candidate covers the winner, the new candidate becomes the new 
winner.

4.  If the old winner covers an added candidate, the old winner still wins.

5.  It always chooses from the uncovered set.

6.  It is easy to describe:  Initialize L to be an empty list.  While there 
exists some alternative that covers 
every member of L,  add to L the one (from among those) with the greatest 
approval.  Elect the last 
candidate added to L. 

What other deterministic method (based on ranked ballots with truncations 
allowed) satisfies all of these 
criteria?

Forest
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