Given these 3 types of ratings (assuming they are the ratings of the 2 frontrunners, after eliminating all the others):
[0,1] - [2,3] - [4,5]
STLR normalizes them like this:
[0,5] - [3.33,5] - [4,5]
Baldwin normalizes them like this:
[0,5] - [0,5] - [0,5]
For me, STLR uses better normalization but I don't think it's the best.
If a vote like this: [4,5] remain the same in the clash between the two finalists, the voter from the start will be encouraged to downplay the rating of the worst candidate of the 2 (i.e., to vote like this from the start [0,5] ).
I prefer this normalization in clash between two finalists:
- if you have a couple [0,0] or [5,5] the vote is irrelevant.
- if one of the two candidates has a score of 5, the other is put at 0.
- if one of the two candidates has a score of 0, the other is put at 5.
- if both candidates have intermediate scores, then STLR normalization applies.
For simplicity, I call START the STAR that uses this normalization.
In this way, at the beginning the voter:
- first assigns 5 to his most favorite candidates and 0 to the most hated ones.
- then he can feel freer in assigning intermediate scores.
Such normalization is proposed indirectly in Tragni's method, although in that context it is used to make comparisons between couples.