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Rewards Analytics and Distribution Dashboard for Quantification Review¶

This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.

Out[6]:

Distribution report for round-22

  • This period covers praise given between 2023-07-03 and 2023-07-17.
  • We allocated a total of 19797.333333333332 GIV tokens for rewards.
  • Duplicate praise received a weighting of 0.1 the value of the original praise.
  • We assigned 3 quantifiers per praise instance.
  • Praise receiver names were not hidden behind pseudonyms during quantification

Praise Data Visualization¶

Rating 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.

Top 10 highest rated contributions¶

The ten highest rated contributions for this round were the following:

Out[9]:
Avg. score To Reason
79.33333333333333 karmaticacid#0 for working SO HARD to get QF live on production today
70.66666666666667 divine_comedian#0 for all of the work that went into structuring ETH Barcelona impact quests. Setting up the flow for claiming NFT's, collaborating with partners to find prizes, setting up the prize tiers, creating a telegram group where people can provide evidence... etc.. He did SO much to make the impact quests happen and we had pretty good participation.
70.66666666666667 Maryjaf#2478 for being the queen of testers! she finds all the edge cases, points out discrepencies b/w dev & design, performs manual calculations, make UX improvement suggestions and basically ensures that our releases are all high quality
70.66666666666667 mohammad_ranjbar_z#0 for being the BEST quadratic funding dev team! you are so organized, efficient, thorough & communicative, and there's no WAY we'd be getting so close to finishing this without all of your amazing efforts
66.33333333333333 griffgreen#0 for amazing work raising funds for the alpha round matching pool <3
62.0 geleeroyale#0 for bringing in REVENUE through their services provided to General Magic last month. Your ability to manage multiple projects and remain flexible is commendable! Giveth earned a whoooping $26,447.38 just for June 2023 alone. AMAZING! 🙌🏼
59.333333333333336 mohammad_ranjbar_z#0 for bringing in REVENUE through their services provided to General Magic last month. Your ability to manage multiple projects and remain flexible is commendable! Giveth earned a whoooping $26,447.38 just for June 2023 alone. AMAZING! 🙌🏼
59.333333333333336 griffgreen#0 for presenting us at barcelona, plan it, doing presantation.
52.333333333333336 oyealmond#0 for working in collaboration with Octant to bring abundance to our matching pool. They have organizaed twitter spaces, collected addresses, prepared comms campaigns, etc. Thanks to them, Giveth has been one of the biggest supporters of Epoch Zero.
48.0 karmaticacid#0 for an awesome, real, authentic, heartfelt talk on how to dao and not die and being vulnerable on the stage, very valuable and important topic in the space.

Praise Reward Distribution¶

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.

Praise Giving Distribution¶

We can also take a look at the amount of praise different users gave.

Praise Flows¶

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.

Out[13]:

Quantifier Data¶

Now let's take a closer look at the quantification process and the quantifiers:

Praise Outliers¶

To aid the revision process, we highlight disagreements between quantifiers.

Outliers sort by spreads¶

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" .

Praise score by quantifier -- outliers among the quantifiers?¶

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.

Score displacement: tendency to under/over-scoring?¶

Scoring correlation: how similiar am I scoring with others?¶

Agreement on duplication¶

Out[22]:

Among 256 praises, 33 (12.89%) 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'.

Agreement on dismissal¶

Out[25]:

Among 256 praises, 0 (0.00%) 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.