Easter Egg Data Analysis

Easter Egg Data Analysis


This is just some quick data analysis on the Easter Egg method because I was curious whether or not it had some data-based merit, as the method was initially suggested by the CN guide website. The analysis demonstrates a positive correlation between higher average easter eggs and a higher diamond per currency ratio. 

EE = Easter Egg


  1. People who follow the EE method are going to have a higher average currency given per EE. 

  2. People who follow the EE method are going to have a lower average currency given per NON-EE

  3. Not everyone who submitted to sheet was following the EE method 

  4. Each person was consistent with their approach to playing these events


  1. Used data from welfare crowdsourcing sheet, and only used each person's data if they gave away 1200 currencies total (One NPC event doing Maiden levels should be able to give NPC 1200 currencies). This yielded 39 entries only.

  2. If players indicated data from different welfare events with different colors, data was separated as a different entry

  3. Calculated the average currency given per EE activate

  4. Calculated the average currency given per non-EE 

  5. Calculated the total diamonds earned divided by currency given as a measure of how efficient each person was in earning diamonds per currency. 

  6. Put data into a chart and added a line of best fit. Then also used the correl formula which is the correlation coefficient. It is a statistical measurement of how strong the relationship between two variables is. Correlation coefficient was 0.69 which indicates a positive correlation.


  1. Positive correlation (0.69) between average currency given per EE and diamonds given per currency. Please note the sample size of 39 players is fairly small and conclusions drawn from this sample size should have this kept in mind.  

  2. No correlation (-0.14) between average currency given per NON EE and diamonds given per currency 

  3. Astro has won the most efficient diamonds per currency 

  4. Getting a higher diamond per currency given ratio is more dependent on having a higher currency given per EE average so give Debbie high EE and for the lows, you may not actually need to give her lows. 

  5. The difference between the lowest diamond/currency ratio and the highest diamond/currency ratio applied to the event may actually be negligible to you.

    1. Say someone had enough stamina where they have 1200 currency available to yeet to Debbie. 1200 currency multiplied with the lowest diamond/currency ratio on the chart (0.339) is approx. 407 diamonds from Debbie. Now if another person had the same # of currency to give but used a more conservative EE method (highest diamond/currency ratio on the chart – 0.382), they would get approx 458 diamonds. The difference is only 51 diamonds and this is using the two extreme rates. In reality/practice, the difference would be less. However, this difference in ratio will be more apparent for those who saved a lot of stamina and yeeted it all to Debbie. For someone who had 3350 currencies to give Debbie, we are then looking at 1136 diamonds versus 1280 diamonds, a difference of 144 diamonds. Whether the difference in diamonds is important enough to you is completely personal and dependent on the individual player.

    2. Let’s compare the methods to the difference when farming Maiden or Princess levels. 1200 currencies from Maiden is equivalent to gaining 800 currencies from Princess levels. The average Diamonds per currency ratio on the welfare sheet is 0.359 diamonds/currency given. If you are farming Princess levels instead of maiden levels, the difference in diamonds is 400 currencies x 0.359 = 144 diamonds. 


Table 1. Chart of players that met inclusion criteria and their average currencies given for non-Easter Eggs, Easter Eggs, and overall diamonds gained per currency given ratio.

Chart 1: Graph of Easter Egg Average vs Diamond/Currency Ratio. Positive correlation between the two variables

Chart 2: Graph of Non-Easter Egg Average vs Diamond/Currency ratio. No correlation between the two variables

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