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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-33

  • This period covers praise given between 2023-06-12 and 2023-07-13.
  • We allocated a total of 447.74367088607596 TEC 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
82.0 liviade#1387 for her Stakeholder Study presentation in Eth Barcelona! I loved it
63.6666666666667 brichis for their work on the Optimism Growth Grant for the TEC!
48.0 gideonro#0 for putting together a future roadmap for the TEC. The future of TEC and the merger with the TE Academy will help the field of TE significantly. Mad praise.
43.6666666666667 liviade#1387 for all her hard work and leadership in driving the TE Stakeholder Study. This will be a huge accomplishment for the commons and we will all learn a great deal from its results.
41.0 liviade#1387 for their hard work in pulling together an excellent Optimism Growth Grant for the TEC.
36.6666666666667 gideonro#0 extemplary leadership, long term vision and compassion for yourself and those around you. Truly an inspiration to myself and I know may more.
36.6666666666667 0xr3x for updating the TEC Dune Dashboard to fix the tribute amount... DYK that over $300,000 were raised by the TEC in Tributes to advance TE!!!
32.3333333333333 Isaac (enti)#1546 for his buying staked ETH proposal and vigilence in keeping the TEC treasury safe
29.6666666666667 gideonro#0 for their work on the Optimism Growth Grant for the TEC!
27.0 Tamarandom#9361 for their hard work in pulling together an excellent Optimism Growth Grant for the TEC.

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 151 praises, 42 (27.81%) 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 151 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.