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Proofs.txt
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Q: Using the GroupHug mechanism, will belonging to multiple stakeholder groups
always be an advantage - or at least not a disadvantage - to a voter?
A: Yes.
Argument:
1) Let's take the example of a voter (V) who belongs to some group (G).
V has voted for his preferred candidate (Cp).
G will assign a positive, not 0, weight (w) to V's vote.
If G is the group of experts or the community,
all group members' votes are considered equal, so w is always 1.
If G is the group of intellectuals or the group of active participants,
w is 1 or more for any group member as every group members per definition
holds at least one NFT that considered valuable by the group.
G will then aggregate the votes of all group members by summing up
the weighted votes for each candidate and normalizing the result as percentages.
V's vote will add a positive amount of points to Cp's score, and nothing
to every other candidate's score. Thus, Cp will receive a higher percentage
of the group's collective points than if V had not voted.
Therefore, V's vote will contribute positively to the score of his preferred
candidate Cp in all of the groups to which V belongs.
2) In the final step of the GroupHug algorithm, each group inputs a
group vote that assigns a percentage to each of the candidates.
The group votes are then aggregated by treating these percentages as points
and multiplying them by a positive, not 0, weight assigned to the group, then
summing up the scores for each candidate across all groups
and finally normalizing the result back to percentages.
By this procedure, a higher score assigned to the candidate Cp by group G
will always result in a higher final score for Cp.
3) Because V's vote contributes positively to Cp's score in all of the
groups to which V belongs, and because a higher group score for Cp always
results in a higher final score for Cp, belonging to multiple groups
will always be an advantage for V.