Hello! I came across a thread on Reddit asking about the likelihood of gaining a specific education trait based on your guardian, and after much searching I couldn't find any specific numbers. In general, we know that the higher the level the education and stats of a guardian, the better job he does. But what are the *actual* numbers?
I decided to figure it out, and run an experiment to at least get within a few % of the actual hard-coded numbers. I couldn't find it anywhere in the game files, so I'm assuming these figures are coded into the game and hidden.
*Updated: So I got some help from some awesome guys on reddit who created a perl script to extract data from save files, and upgraded my testing file to 150 child per save. I have now accumulated 9,918 data points. Here are the conclusions and results:
1) Character education is *entirely* dependent on the education of the guardian.
2) Guardian Stats have absolutely no impact on the outcome, even with a test guardian with 100 to all stats the results were as expected
3) Guardian traits (outside of education) have no impact either. There was a theory going around that it might work like culture, and that diligent/gregarious might increase the chances you get a good education. This theory was wrong.
4) Guardian opinion of child, or child's opinion of guardian have no impact on results.
5) The length of time the guardian has educated the child has no impact. This was proven by the data, but also evident because there isn't any information concerned the duration in the save file. The game has to load up every piece of information upon a load, if it was relevant we would see information in the save file.
6) The 5 different education 'trees' are equal. They all work the same.
7) And finally, the results of 9,918 Data points:
Note that in these pictures, a tier 1 education refers to the *weakest* education of a tree, such as naive appeaser or amateurish plotter, while tier 4 refers to the highest level. "Off" refers to when for example an intrigue education guardian trained a stewardship education child.
And if you want to see some videos on how it was done here are the video links:
The Set Up
Preliminary Conclusions off of ~1,050 data points
More Refined Conclusions ~ 1,500 data points + auto-calculation
More Refined Conclusions ~ 2,350 data points
I decided to figure it out, and run an experiment to at least get within a few % of the actual hard-coded numbers. I couldn't find it anywhere in the game files, so I'm assuming these figures are coded into the game and hidden.
*Updated: So I got some help from some awesome guys on reddit who created a perl script to extract data from save files, and upgraded my testing file to 150 child per save. I have now accumulated 9,918 data points. Here are the conclusions and results:
1) Character education is *entirely* dependent on the education of the guardian.
2) Guardian Stats have absolutely no impact on the outcome, even with a test guardian with 100 to all stats the results were as expected
3) Guardian traits (outside of education) have no impact either. There was a theory going around that it might work like culture, and that diligent/gregarious might increase the chances you get a good education. This theory was wrong.
4) Guardian opinion of child, or child's opinion of guardian have no impact on results.
5) The length of time the guardian has educated the child has no impact. This was proven by the data, but also evident because there isn't any information concerned the duration in the save file. The game has to load up every piece of information upon a load, if it was relevant we would see information in the save file.
6) The 5 different education 'trees' are equal. They all work the same.
7) And finally, the results of 9,918 Data points:
Note that in these pictures, a tier 1 education refers to the *weakest* education of a tree, such as naive appeaser or amateurish plotter, while tier 4 refers to the highest level. "Off" refers to when for example an intrigue education guardian trained a stewardship education child.
And if you want to see some videos on how it was done here are the video links:
The Set Up
Preliminary Conclusions off of ~1,050 data points
More Refined Conclusions ~ 1,500 data points + auto-calculation
More Refined Conclusions ~ 2,350 data points
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