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This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.
Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.
The ten highest rated contributions for this round were the following:
Avg. score | To | Reason |
---|---|---|
59.333333333333336 | vpabundance.eth#6756 | for connecting Giveth with Octant in an amazing opportuntiy to raise funds for the Giveth QF matching pool |
45.333333333333336 | geleeroyale#0 | for finding free awesome RPC endpoint for GIveth |
36.666666666666664 | oyealmond#0 | for being the shadowy superhero behind 90% of our comms. she coordinates all kinds of events, GM, meet the makers, twitter spaces, does outreach and coordination for all, writes tweets, makes videos and advertising content, and makes sure they get in front of everyone needed. She makes discord announcements, moves issues around the github board, follows up on all tasks... and is such a powerhouse of a contributor that it's hard to fit it all in one praise |
36.666666666666664 | carlosjmelgar#2531 | for doing a great host job on the Giveth's GIVtalk twitter space with Giveth projects participating in the Gitcoin's Beta Grants |
34.0 | carlosjmelgar#2531 | aka Carlosito for showing so much love to Giveth Galaxy and donating to all the galaxy projects in Open Source Software category in Gotcoin Beta round! |
34.0 | Amin#2164 | for very fast issue management. We were lucky it was only a fire drill 🚒 |
29.666666666666668 | Amin#2164 | for Deploying token distro on Optimism |
29.666666666666668 | nikolacreatrix#0 | for holding up the gravity pillar with elegance and grace. her feedaback on the subdaoification post about managing contributors & leaders was super constructive, demonstrating her epic emotional intellgience, and understandings of the complex nuances of our hiring/firing processes |
28.0 | hanners717#0 | For leading the fundraise call for the first time, she killed it it!! |
27.0 | ben_west_monkey_flower#0 | for being super supportive in answering my questions about gitcoin beta round, and in particular for his support investigating why giveth was rejected from the DEI round |
We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.
We can also take a look at the amount of praise different users gave.
Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.
Now let's take a closer look at the quantification process and the quantifiers:
To aid the revision process, we highlight disagreements between quantifiers.
This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.
Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .
Let's see how different quantifiers behaved by showing the range of praise scores they gave.
To interpret the box plot:
Bottom horizontal line of box plot is minimum value
First horizontal line of rectangle shape of box plot is First quartile or 25%
Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.
Third horizontal line of rectangle shape of box plot is third quartile or 75%
Top horizontal line of rectangle shape of box plot is maximum value.
Among 343 praises, 42 (12.24%) do not agree on duplication
Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.
Among 343 praises, 1 (0.29%) do not agree on dismissal
Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.