[nltk_data] Downloading package stopwords to /root/nltk_data... [nltk_data] Package stopwords is already up-to-date!
This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward 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.
The ten highest rated contributions for this round were the following:
| Avg. score | To | Reason |
|---|---|---|
| 59.333333333333336 | karmaticacid#0 | for lots of coordination and time spent aggregating a list of appropriate addresses, and paring it down to under 2k address - so that we could optimize the people who are auto-eligible to vote in epoch zero |
| 48.0 | aabugosh#0 | for putting together the document to start racking analytics! It make so much sense when having some metrics. |
| 48.0 | cuidadopeligro#0 | for volunteering to administrate/create and verify project for non profit in barcelona so that they can be listed on giveth in time for impact quests in barcelona. |
| 48.0 | cuidadopeligro#0 | for being such an excellent steward and host at the giveth house day or night, always receiving people, and being super nice and caring no matter what day or time it is. I don't think many people realize how well you're holding down the fort of the house. |
| 48.0 | aabugosh#0 | for taking so much time and putting so much effort on cleaning and auditing Autopilot 🙏🏻 |
| 41.0 | moeshehab#0 | for being first to react to an unreported incident 🔥 |
| 36.666666666666664 | cotabe | for pushing forward a HUGE XRP grant that could bring 150k USD into Giveth for adding support for XRP. It was A LOT of work on a sunday! but it can bring in a lot of money to Giveth AND it would make it easy to enable bitcoin donations :-D |
| 36.666666666666664 | griffgreen#0 | for many many hours spent reviewing, writing and providing feedback on countless OP grants for intent 1, 2, 3, 4 ??! getting this OP is going to be huge for giveth's continuation through the bear market |
| 34.0 | whyldwanderer#0 | For improving Admin panel continiousely |
| 34.0 | brichis | for all the help and support kickstating the grant for optimism funding for QF, doing lots of research and really setting the stage for our success |
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.
We can also take a look at the amount of praise different users gave.
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.
Now let's take a closer look at the quantification process and the quantifiers:
To aid the revision process, we highlight disagreements between quantifiers.
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" .
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.
Among 302 praises, 33 (10.93%) 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'.
Among 302 praises, 5 (1.66%) 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.