This is why I think the current Moons to Karma ratio will be close to 0.160 [Charts]

.. if we continue being this active.

I present a pattern I found yesterday.

[c01] The scatter-plot chart shows the relationship between formula for horizontal axis and actual Moon Karma from CSV files on vertical axis. Round 17 (top-right red circle) is an estimate, which fits in the general pattern. Those familiar with data science can notice a more-or-less good linear pattern, which means we can use above dataset for predictive analytics.

The above pattern is a transformation of a chart [c02] from a reference [1], which I also show below:

[c02] This scatter-plot chart is a copy from reference [1]. It shows the arguments used in the first chart above.

Discussion

To get the Moons to Karma ratio, I simply divide the Moons to be distributed this round by a value I see in a chart [c01] above.

Terms used:

• total_daily_comments: cumulative number of comments in all Dailies for a particular round
• total_daily_scores: cumulative score of all Dailies for a particular round
• Moon Karma: the sum of karma from all 16 finalized distribution CSV files; first mentioned in this reference [2]

References

[1] My previous post in series https://www.reddit.com/r/CryptoCurrency/comments/p5izq7/together_we_can_improve_the_moons_to_karma_ratio/

[2] Sub moderator introduces a term "moon karma" https://np.reddit.com/r/CryptoCurrencyMeta/comments/p4arur/how_are_moon_karma_calculated/h8xlzom/