>>31482177I'll take that as you asking for me to explain my cute Anonchama.
I lied. Standard Deviation has nothing to do with "stability" of your sample data. In reality SD is just telling how far the dataset is from the mean value. Take A={1, 1, 9} and B={3, 4, 4}, both of these sets have a mean value of 11/3. However the first set, A, has a SD of 4.6 whereas the second set, B, has a SD of 0.5. You can think of SD as "how tight of a group" your data set is, with lower values meaning a tight grouping.
The issue with the Ayame dataset is that we really don't want a tight grouping, we want a SD with a larger value. That is due to the limitations of "testing", in this case it is due to the fact we're talking about a person doing something. As said before, the only way we can have a tight grouping is if the values are near each other. That means Ayame would need to have a consistent work schedule, however burnout is a real thing and as such she would need to work less hours overall in order to maintain such a continuous process. Instead of writing a whole lot of nonsense, instead look at the difference between her first year and this current year; her SD was much larger, but she was overall more active.
In my previous post I combined the idea of Precision and Accuracy into Stability as a way of skirting around this blogposting issue. Precision is the tightness of the group, Accuracy is how close to the "expected value" we are. From here we get into a more philosophical issue, what is the "expected value" for Ayame? How many things per month is considered a good value? Is it 5 things? or 15 things? Does duration and quality need to be factored in? I Occam’s Razor that shit and decided the expected value is at minimum 3 things per week, or 12 things per month. Why? Cause fuck it, why not. Things work best in 3s.
