Have been crunching numbers and calculating Pearson R correlations between different types of upsets based on a further data set I gathered in March. During that period I did periodic “mood gathering” by setting an alarm on the Fitbit and entering how I felt from 1 (relaxed and calm) to 10 (palpable rage or fear). I also logged upsets with their intensity so I got around 15 to 25 events logged a day between the alarm triggered entries and the noticing entries. The resulting data set has led to some interesting insights.
First, there is a strong positive correlation (r=.66) between my upset score across the day and the amount of sleep I had the night prior. That means the more I slept the more I triggered the next day. A surprising result that needs further study as qualitatively I feel better when I sleep more.
There was a strong negative correlation (r=-.62) between my upset score daily and the amount of high intensity exercise. That means less upset on days I exercised. This makes sense as my qualitative experience is that exercise relaxes me.
I looked at each hour of the day (above) to see if there was a clear pattern around day parts, but it does not appear that I am a “morning” or “night” person by mood level. The intensity seems to gradually drop over the course of the day. When I pulled out the 1300 (1pm) logs you see below for 21 different triggers logged during that hour there is no clear pattern on the upsets:
So there does not seem to be a consistent bad hour of the day nor a corresponding happy hour. I have crunched additional relationships for a future post, and once all this is put together I will bring another video. More insights to come.