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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 2022-11-07 and 2022-11-17.
  • We allocated a total of 409.19620253164555 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
34.0 enti#1546 for building this amazing tool for analyzing our discord messages, checking out how often words are used and grouping them by channels and authors!
30.75 r-x-x#8344 for the many hours he is putting into analyzing and refining credentials management - locking down access on critical platforms, coordinating with those that hold admin priviliges and devising a coherent secuirty method going forward. Really impressive.
29.5 GideonRo#3175 for the raw and heartfelt apology post on the forum this week and allowing such vulnerability to be and remain a core part of our culture. It is easier to criticize others that to take responsibility for ourselves. You do the hard stuff that needs to be done and serve as a model to others.
26.75 Juankbell#7458 for holding the Gravity space for all participants, even given differences of opinion, and championing two main threads in Gravity, namely trust creation and agreement, important in early group formation stages, and in dispute resolution, needed for more mature groups trying to stay on track
25.5 r-x-x#8344 for taking on setting up a new, more logical structure for managing all of the TEC'S most cirtical documents in a shared Google Drive folder. This is going to make keeping track of documents in this commons soooo much easier!
22.25 r-x-x#8344 for their proactive work on raising the TEC profile, both via Discord itself, and I particularly loved the word clouds to describe each working group. This is long overdue across TEC, and finally Rex has grabbed the nettle and remembered that folk outside TEC might just be interested in coming to help.
22.25 enti#1546 for surfacing the TEC's dependencies on protocols, tools and other organizations and sharing them so that they can be assessed and addressed. This is a tremendous help to reducing risks.
22.25 BiancaGadelha#2667 for her steady and dedicated efforts to add a third strand to the Gravity mainstream elements, mental health at work. Also for her work with Twitter Live attracting a community of interest, and helping folk realise that Web 3 can care about its contributors, given the prevalence of burnout and sub economic subsistence
20.25 Tamarandom#9361 for her integrity and groundedness. Even in the middle of moving houses, Tam manages to prioritize things and be available to important matters. She is a translator of miscommunications and makes everything run smoother.
19.0 streamerd#5565 for their peace project, and an awesome Miro that can help folk navigate to elements they want to learn and engage in. It will be lovely to try to tokenise this, and see what value we can give to peace movements, especially in this time of raised global tensions and conflict.

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.

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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 69 praises, 8 (11.59%) 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 69 praises, 1 (1.45%) 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.