[nltk_data] Downloading package stopwords to /root/nltk_data...
[nltk_data]   Package stopwords is already up-to-date!

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 2022-10-16 and 2022-11-14.
  • We allocated a total of 83752.0 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
98.97 Griff (💜,💜)#8888 For working too hard on the hack thing
96.0 sem(🌸,🐝)#0161 For tracing the funds from the hacker and just being around all day to help save giveth from any further issues that might have arised from the chaos of the exploit
89.0 Giantkin#8403 For alerting us of the exploit today! First person to raise the alarm as far as i could tell, and that's huge!
89.0 MoeShehab#3487 for fighting human rights abuse
84.67 Cori#8483 for a super valuable workshop around best Twitter practices, and great insight tips and tricks, I learned something new and am feeling more inspired to build my regular Twitter routine and have fun in my own sweet twitter corner while supporting Giveth.
84.67 MoeNick#1374 for his critical thinking in every feature or modification we make to the dapp, logically deconstructing our user flows, finding gaps and creating solutions
84.67 Almond oyealmond#7049 for organizing giveth twitter basics session & giveth galaxy twitter space & verification workshop - all the catherding she does to set up these well-structured sessions adds so much value to the giveth community
84.67 Cori#8483 for being an amazing comms lead, writing & editing many tweets to make my life easier & taking initiative when preparing the comms agenda to ensure cross-communication accross working groups and making sure that the whole team is in the loop about upcoming launches/delays
82.0 Griff (💜,💜)#8888 for leading the effort around cleaning up today's hack, from catherding, decision making, translations between tech & laymens, comms review, creating a plan & finally cleanup transaction creation, he was a huge pillar in a tough situation
77.67 Amin#2164 because even when he is "off" with many important family things, moving & more... he is STILL reviewing Cult farm setup txs and catching us before we make mistakes. Also... he does such amazing work at explaining the giveth contracts, and how things work, and I learn so much from him constantly... it makes me a better person, and means that I can add even more value to giveth. Amin is the best!!!

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 1083 praises, 284 (26.22%) 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 1083 praises, 11 (1.02%) 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.