Quantified Self (QS) is a method of collecting and interpreting your personal data, usually for self improvement. The inputs range from health datapoints like sleep hours or running miles, to media consumption like movies watched or books read.

Luckily, I happen to hoard data and lots of it. I’ve done my darndest to Jaws-of-life this data away from corporate silos or simply start collecting it myself. For the most part this data is gathered automatically. There are others who opt for a richer, minute-to-minute, manual data point entry but I don’t think the tradeoff is worth it. Automation rules, manual life-logging drools.

I have broken down my QS project into two corresponding phases:

I take an overwhelming amount of inspiration from Julian’s media consumption reports.

Step 1: Collect

A niche part of the internet has already trailblazed the collection of numerous health, emotion, and habit data.

This is a list of what I’m exporting and from where, along with what I’d like to add.

Step 2: Interpret

There’s so much we can learn about ourselves, if we take the time to look. Sometimes, our money knows us better than we know ourselves.

Tracking our finances can reveal what we are in denial of, […] and what might be holding us back.

Robert A. Belle

After beginning my data collection habits, I can focus on creating automatic reports of this data. These will aggregate statistics and hopefully help identify trends in my personal behavior.

Parsing of this data is done using my QS parsers.

Know your wolf.


Report improvement ideas

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Inspiring quotes

“huh, I appear to netflix-binge under certain conditions, despite the fact that I’d rather not. I wonder which conditions, specifically, led to that binge! What were the triggers? How could they have been avoided? What methods might help me avoid binging in the future?”


to get anywhere I need to record how things felt in the past.