The method is named “Maximum Partial Consensus (MaxParC)” in the paper.
The exact meaning of giving a wap of r to option x is really just the following binding conditional commitment: “I commit to approve x if and only if less than r% of the participants do not approve x”.
All the waps for x together form an interdependent system of conditions, which has a “largest” solution in the sense that there is a unique largest set of participants such that if all of them approve, then everyone’s condition for approval is met.
One can find this solution easily with pen and paper as follows: sort all waps for x in ascending order, draw a diagonal like in the screenshot below, and find its leftmost intersection with the wap distribution. Then all participants with waps to the left do not approve and those with waps to the right do approve.
In the GUI, one can see whether one approves by checking whether one’s wap slider intersects with the light approval bar, as in this screenshot from the EA-related demo poll posted earlier:
The method is named “Maximum Partial Consensus (MaxParC)” in the paper.
The exact meaning of giving a wap of r to option x is really just the following binding conditional commitment: “I commit to approve x if and only if less than r% of the participants do not approve x”.
All the waps for x together form an interdependent system of conditions, which has a “largest” solution in the sense that there is a unique largest set of participants such that if all of them approve, then everyone’s condition for approval is met.
One can find this solution easily with pen and paper as follows: sort all waps for x in ascending order, draw a diagonal like in the screenshot below, and find its leftmost intersection with the wap distribution. Then all participants with waps to the left do not approve and those with waps to the right do approve.
In the GUI, one can see whether one approves by checking whether one’s wap slider intersects with the light approval bar, as in this screenshot from the EA-related demo poll posted earlier: