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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-13

  • This period covers praise given between 2022-05-30 and 2022-06-18.
  • We allocated a total of 2814 TEC tokens for rewards.
  • Duplicate praise received a weighting of 0.1 the value of the original praise.
  • We assigned 4 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
76.0 Juankbell#7458 for a GREAT Introduction to TE in Spanish!
72.0 Vyvy-vi#5040 for development of the praise app, including several bug fixes and improvements to the discord bot functionality and settings
55.0 Vyvy-vi#5040 for all the amazing development updates to praise! including dark mode, admin user management, bug fixes and adding multi-wallet functionality
55.0 Vyvy-vi#5040 [TRANSCRIBED MAY 5TH] for development work on the praise dashboard and the rewards system.
55.0 Nuggan#5183 for their work restructuring the RAD tool, rebuilding the development architecture and making it more moduler and better to use for future commmunities
47.0 Juankbell#7458 for preparing TEC material to represent TEC in the Intro to Token Engineering in Spanish, on June 10th. It's so good to have you excited and involved!
46.5 griff (💜, 💜)#8888 for reminding us of important directions to focus on and for putting himself available to help and advise
42.0 r-x-x#8344 for his hard work in building a unified treasury report showing all of the balances of TEC multisig wallents in one unified view
41.0 durgadas#9280 for the great effort and initiative in creating the website for GravityDAO
39.33 Tam2140#9361 for keeping the stewards on track and organized sprint after sprint

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 636 praises, 89 (13.97%) 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 636 praises, 22 (3.45%) 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.