Thu Nov 16 00:00:06 UTC 2017
I have some good data on sleep now that I could probably analyze.
Thu Nov 16 00:08:12 UTC 2017
Time (PDT) | Intention | Revision 1 | Revision 2 |
---|---|---|---|
0400 | TV: Hulu Exploration | ||
0430 | SLEEP | ||
0500 | SLEEP | ||
0530 | SLEEP | ||
0600 | SLEEP | ||
0630 | SLEEP | ||
0700 | SLEEP | ||
0730 | SLEEP | ||
0800 | SLEEP | ||
0830 | SLEEP | ||
0900 | SLEEP | ||
0930 | SLEEP | ||
1000 | SLEEP | ||
1030 | SLEEP | ||
1100 | SLEEP | ||
1130 | SLEEP | ||
1200 | SLEEP | ||
1230 | SLEEP | ||
1300 | SLEEP | ||
1330 | Computer | ||
1400 | Computer | ||
1430 | Walk to work | ||
1500 | Snack | ||
1530 | Coffee | ||
1600 | PLANNING | ||
1630 | CA-3359 | ||
1700 | CA-3359 | ||
1730 | CA-3359 | ||
1800 | CA-3359 | ||
1830 | Social Buffer | CA-3359 | |
1900 | CA-3359 | ||
1930 | CA-3359 | ||
2000 | CA-3359 | ||
2030 | CA-3359 | ||
2100 | Walk home | CA-3359 | |
2130 | Cooking | CA-3359 | |
2200 | Cooking | Walk home | |
2230 | Gaming: Overwatch | Cooking | |
2300 | Gaming: Overwatch | Cooking | |
2330 | Gaming: Overwatch | ||
0000 | Gaming: Overwatch | ||
0030 | CA-3359 | Gaming: Overwatch | |
0100 | CA-3359 | Gaming: Overwatch | |
0130 | CA-3359 | Gaming: Overwatch | |
0200 | End of day review | TV: Twitch | |
0230 | TV | TV: Twitch | |
0300 | TV | CA-3359 | |
0330 | TV | CA-3359 | |
0400 | TV | CA-3359 | |
0430 | TV | CA-3359 |
I think about 20 minutes drift per day is accurate. I should parse my sleep data and do a rolling average.