Range Voting selects the option with the highest average rating.  Jobst has 
found a method that selects the option with 
the highest average rating by a random subset of the voters, while (totally?) 
discouraging the exageration of preferences 
that tends to happen in ordinary Range Voting.

It seems to me that it should be even easier to find a similar strategy free 
method that selects the option with the highest 
median rating; when a vote is above or below the median it makes no difference 
on the value of the median how far above 
or below (at least in the case of an odd number of voters).

The simplest idea is just to charge one voter grickle against the account of 
each voter that voted above the median of the 
winner, and redistribute these evenly to the accounts of the voters that voted 
below median.  Of course, lots of technical 
details would have to be worked out, e.g. to take care of the case where 
several options have the same median, and the 
case where nobody voted above median.  This version would end up being similar 
to some version of Bucklin with a tax 
for winning and a compensation for losing.

More analogous to Jobst's idea would be a method where a random ballot 
benchmark lottery is used, but instead of 
using the expected ratings of that lottery on the various ballots, use the 
rating R for which it is equally likely that the 
lottery winner would be rated above or below R (on ballot i).

If (on ballot i) the winner X is rated above R, then the probability P of the 
lottery winner being between R and X is the tax 
paid (by the compensating voters) on behalf of i into the accounts of the other 
voters.

Instead of voters with higher accounts having greater range possibilities, they 
would have greater weight in determining 
medians.

Also, the Random Ballot Lottery would take into account these weights.

Essentially, if your virtual bank account is 30, it is like having thirty 
votes, whether in the Bucklin aspect, or in the RB 
Lottery aspect.

I know that social scientists addicted to utility will prefer the mean approach 
over the median approach, but this makes 
more sense to me, because the "money" has a more direct relation to probability.

What do you think? Can something along these lines be worked out?

Forest





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