No system is perfect.
We are at the vanguard of self governance.
We learn with every experiement and continuously improve our system designs.
Using the json raw voting data on tokenlong (view stats), I was curious to see how quadratic voting would play out given our specific Voting Power algorithm that accounts for IHT and CSTK tokens.
I am sharing what I found because we are counting on quadratic voting as a type of mitigation against a few whales determining the outcome of a vote. It does not appear that this data backs up that assumption. That is my initial impression. There may be arguments that we want a few whales to be able to do so. That they have earned the right. I may have made a mistake in my calculations. I leave these possibilities open to the community to determime.
I anticipate that there will be people with very strong opinions about this result. And there is a real risk that discussions about this will necessitate extending the target date for the Hatch. Or worse, result in any negative sentiment. We are a kind, compassionate, respectful, introspectful and data-driven community and I hope that is enough to avoid the latter.
Here is the xls. This file does contain the unique addresses parsed from the json but for the sake of simplicity I have assigned each unique address a simple name: Voter A, B, C, etc.
Others are welcome to use this file for deeper analysis that my cursory one.
To the best of my knowledge, this is how Voting Power has been assigned for our use of Tokenlog. I texted directly with Wesley who was generous with his time and explained it to me patiently. If I have made a mistake in my understanding, I welcome the correcion. My goal is to have a shared understanding so we can improve.
Multiplier = the ratio beteen the two token supplies.
Simply put: The % held of the IHT supply is multiplied by the multiplier and then the CSTK score is added that figure.
The examples below show an approximate amount of IHT and CSTK suppy. They are not exact but not far off. The examples were chosen to showcase different cases:
Examples:
500 IHT (5% of 10,000 supply)
600 CSTK (0.06% of 1,000,000 supply)
Multiplier, the ratio between the two supplies, is x100.
(500x100) + 600 = 50,600 VP
100 IHT (1% of 10,000 supply)
600 CSTK (0.06% of 1,000,000 supply)
Multiplier, the ratio between the two supplies, is x100.
(100x100) + 600 = 10,600 VP
50 IHT (0.5% of 10,000 supply)
600 CSTK (0.06% of 1,000,000 supply)
Multiplier, the ratio between the two supplies, is x100.
(50x100) + 600 = 5,600 VP
500 IHT (5% of 10,000 supply)
20,000 CSTK (2% of 1,000,000 supply)
Multiplier is still x 100
(500x100) + 20,000 = 70,000 VP
100 IHT (1% of 10,000 supply)
20,000 CSTK (2% of 1,000,000 supply)
Multiplier is still x 100
(100x100) + 20,000 = 30,000 VP
50 IHT (0.5% of 10,000 supply)
20,000 CSTK (2% of 1,000,000 supply)
Multiplier is still x 100
(50x100) + 20,000 = 25,000 VP
Updated the xls with the final results of the first round of votes. The runoff votes are now happening, go here and vote! The vote ends Tuesday, July 6, at 8pm CET.
Of interest to me here is that:
So if:
Then:
This is super interesting! It's not exactly 1-person, 1-vote but it does ingeniously try to simulate that idea. Maybe it's more like 1-recombined-person, 1-vote.
Here is what those results look like:
The data we have here is empirical. It accurately shows what actually did happen based on our employedment of quadratic voting.
The data shows how many unique addresses participated, how much voting power they used and where they applied that voting power. That's all.
Here is what stood out about the results to me:
Before the 24 hour extension:
After the 24 hour extension:
In the end, the final runoff proposals were determined based on Griff's calculations of applied voting power. That is the simulation of one-person one-vote in one of the xls tabs.
Using that method there is only one change in rank: Jeff's praisemageddon comes in second, ahead of Sem's no-intervention. The rest appear to be ranked the same order as the quadratic voting results.
Griff made a comment in this very long forum post, Pre-Hatch Impact Hours Distribution Analysis about counting votes not voting power.
That makes sense. So we should look at that too.
Thank you for asking this, @Griff
“Is voting power relevant?” is a good question to challenge our most basic assumptions. My understanding is the correlation with votes-that-can-be-cast makes it relevant in this discussion but agree we should also look at the actual votes cast.
I come to a diff result for the first part (see below) but the same for the second.
I believe the following is true. Is there a mistake I don’t see? Based on the tokenlog data of the primary voting period:
And here is what that looks like visually:
9 AM CET
This is still happening (vote ends tonight) but here is what we see so far.
There are 48 unique addresses that particiapted in this final vote so far.
7:30 PM CET (Not closed yet)
There are 54 unique addresses.