Better Living Through Data
jradavenport (3020071) writes "Using two years of continuous monitoring of my MacBook Air battery usage (once every minute), I have been able to study my own computer use patterns in amazing detail. This dataset includes 293k measurements, or more than 204 days of use over two years. I use the laptop over 50 hours per week on average, and my most productive day is Tuesday. Changes in my work/life balance have begun to appear over the two-year span, and I am curious whether such data can help inform how much computer use is healthy/productive."
It's nice that you have data. Not having data is worse.
But you have a one-subject unaligned, uncontrolled collection of data. The line between inference and magical thinking is narrower than you think, and just because the skinner box gave you food when you crooked your neck doesn't mean crooking your neck causes food to come out.
"and my most productive day is Tuesday"
Are you seriously attempting to correlate battery use and productivity? Using MS office should have very little battery drain as compared to CPU/GPU intensive applications but it doesn't mean one is more productive than the other. I can open a browser and play a flash game and use more battery than I would if I were writing code. Simply using the laptop also doesn't mean productivity, as browsing the internet isn't productive but uses battery life.
Got any thorough analysis, with Power Point slides, on the frequency at which you clip your toe nails?
Waste byproduct in SI units would be helpful, as well.
It little behooves the best of us to comment on the rest of us.