I find it entertaining and fascinating attempting trackage of my usage of time over a certain span of time. And this span of time will be from myself falling asleep Friday night May 14th at 10:19 pm (central time) through when I fell asleep Wednesday morning at 12:48 am (central time), creating a span of 98 hours and 30 minutes or 5,910 minutes or 354,600 seconds. It is less than 1% of the time an entire century, but never the less, all time is important. Basically, the time that I am tracking is Saturday May 14th through Tuesday May 17th with a little overhang to even out the sleep.
Out of 98.5 H, I have 92% of my time documented with strong documentation. However, I still want to be above 95%. I will call a 92% over just short of 100 hours of time a C+. There are various excuses for error. I did take a few naps Sunday, recovering from a hellacious Saturday. It very well could be that my guessing estimations are off just a bit. I fully understand that it would be extremely hard to reach 100%, but 95+% is reachable.
I had a conversation, shortly last night, if Netflix or Hulu was better. My response was Apple Music. It pisses me off when it takes me 20 minutes to find something that I kind of want to watch. Little things like that need to be accounted for. I’m gonna have to concentrate on this for my annual June Time Science. Speaking of Apple Music, I have had my first beef (and being Vegan, I extremely despise beef) with Apple Music not having more than one song from an artist who I’d like to check out. YouTube has Apple Music beat on material from the instrumental Post-Rock Canadians, DestroyAllDreamers. It is disappointing that I may have to try and pirate their music in order to add it to playlists.
Wish I Was All Flames
Swirling Colours Sink
The Sky Was Glorious For a Moment
Ghost Guitar in the Shell
Perdre Est Une Question De Méthode
Sunday was a day of recuperation and I took four naps and ate so much food. I’m not sure yet of how my Garmin watch does with naps. Naps may need to be documented manually for more accurate documentation. We will see.
I slept 11.2% of the 98.5 hours in a deep sleep of the entire 31% slept. And slept deeply 36% of the 30.3 hours. That averages over 7.5 hours per night and short of an average of 3 hours of deep sleep (or dleep?) per night. Not too bad, if you ask me. Although, last night’s dleep was only 24 freaking minutes. That is interesting. I rode my bike 8.5% of the total time for a distance of just over 175 (108 miles) km with an elevation gain of 826 (2,708 ft) meters. I walked 57.3 (35.6 miles) km over 56,234 steps. I walk much more when I am at work. I ride much more when I am not at work. The art of balance. I also eat more when I am not at work. I burned 30,521 calories over this span and probably only consumed a fraction of those calories burnt. I worked 22.43 hours in two days of the four days. I did not take a break either day.
The rest of the time usually overlaps and needs to be documented better. I spent 1.25 hours shopping. I spent two hours of traveling by machine. My time in a kitchen and also eating was calculated at six hours and also needs better documentation. A total of five hours were totaled for Cubs/Socializing, aka drinking beer outside of the closet:) And the very last thing is a mixture of maintenance (shower/laundry/cleaning/dishes/fixing), internet/blogging and Netflix/movie. I tallied that sum to be 14.5 hours, but is probably more which would help fix the gap. Here is a better overview.
- SLEEP – 30.3 h
- BIKE TIME – 8.33 h
- WORK – 22.43
- TRAVEL – 2 h
- GROCERY – 1.25 h
- EAT KIT – 6 h
- SOCIAL – 5 h
- MIX – 14.5 h
Totaling 89.99 hours of a total of 98.5 hours. 92%. Check back in July for my June Time Science blog.