2023/7/6 Call about Plural QF with Leon
from 2023/7/6
with Leon ErichsenLeon Erichsen.icon
Agenda: How much Plural QF reduces collusion compared to Nomal QF（Gitcoinが現行行っているLRQFとDeCartographyがソーシャルグラフを提供してPlural QFを実施した場合の比較）
Price-performance ratio as DeCartography
Compare Plural QF and QF
Assume
2 Projects
7 contributer participate
$100 matching pool
Summary
Nomal QF
140$, 129$
Plural QF
154$, 115$
Nomal QF
https://gyazo.com/4ea0993de9a40c4e6d3968f89a25efca
Project #1 got donate from contributers as 5, 10, 0, 20, 0, 10, 50
Funded 95.00$
Matched 45.31$
Total 140.31$
https://gyazo.com/10a3773c89e44abebbbc6a6e32040bd9
Project #2 got donate from contributers as 5, 15, 5, 5, 20, 10, 15
Funded 75.00$
Matched 54.69$
Total 129.69$
Simulate as COCM
assume Social Graph
https://gyazo.com/52d2c95990881e3cacb66cd726a3064e
(same number of contributers)
$ python3 multipleproject.py cocm "0], 1, 2, 2, 3, 4, 5, [5, 6" "50, 5], 5, 15, 10, 5, 0, 5, 20, 20, 0, 10, [10, 15"
→[289.7424515457382, 199.92969686897504]
calcurated with https://github.com/tkgshn/plural-qf/blob/main/multipleproject.py
Project #1
funded 95.00$
$100 * (289.7424515457382 / (289.7424515457382 + 199.92969686897504)) = 59$
matched 59$
total 154$
Project #2
funded 75.00$
$100 * (199.92969686897504 / (289.7424515457382 + 199.92969686897504)) = 40$
matched 40.00$
total 115$
Appendix
https://gyazo.com/52d2c95990881e3cacb66cd726a3064e https://gyazo.com/1157b63d15813737c6ad5c4db594948e
simulation code: https://github.com/tkgshn/plural-qf/blob/main/differentamount_Simulation.py
more: /tkgshn/how to implement wtfipluralqf update#647930e009c5f200008d3de4
if you're good social position like Agent0, if you'll increase amount of contribution is powerful than bad social position's agent who added same amount
https://gyazo.com/41233215774d72fe1695fd76290a8b96
Compare RetroPGF and GR11 (Infra round)
Data Source: Review of Optimism retro funding round 1
VitalikButerin.icon[It is my own (admittedly highly subjective) opinion that the retro round winner selection is somewhat higher quality
The retro round was low variance
The retro round winners are more well-known projects
The retro round focused more on infrastructure, the Gitcoin round more on more user-facing projects
ok, let's visualizetkgshn.icon
https://gyazo.com/bfb7c424201fa758dac48ab3ab50d115 https://docs.google.com/spreadsheets/d/10nOQ_umnNpS1Ef_y0Jt9yNdv8UevEo_9PJt7D8phJMw/edit?usp=sharing
https://gyazo.com/66888ad522c145d02cc4d4b2e1fc1f02
https://www.figma.com/file/zvbu9R8rBKrbovGXLuKSGG/Untitled?type=design&node-id=0-1&mode=design&t=LcMRwtOWxIwOphyZ-0