[EM] XA

[Andy Jennings]

In this graphical framework, you can also think of XA as finding the
largest square that fits between the distribution function and the x axis.


On Thu, Nov 3, 2016 at 1:00 PM, Forest Simmons <fsimmons at pcc.edu> wrote:

>
>
> For each candidate, you indicate on your XA ballot what you consider to be
> an appropriate rating of merit or support on a scale of zero to 100 percent
>
> In the XA count, your ballot gives full approval to the candidates that
> you consider under-rated by the rest of the voters, and no approval to the
> candidates that you consider over-rated by the rest of the voters.
>
> The candidate with the highest (average or total) approval in the XA count
> is elected.
>
> Any suggestions for improvement?
>
>
Sounds like a good explanation to me.
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