Kouris Kalligas: Analyzing My Weight and Sleep

Like anyone who has ever been bombarded with magazine headlines in a grocery store checkout line, Kouris Kalligas had a few assumptions about how to reduce his weight and improve his sleep. Instead of taking someone’s word for it, he looked to his own data to see if these assumptions were true. After building up months of data from his wireless scale, diet tracking application, activity tracking devices, and sleep app he spent time inputing that data into Excel to find out if there were any significant correlations. What he found out was surprising and eye-opening.

This video is a great example of our user-driven program at our Quantified Self Conferences. If you’re interest in tell your own self-tracking story, or want to hear real examples of how people use data in their lives we invite you to register for the QS15 Conference & Exposition.

This entry was posted in Conference, Videos and tagged , , , , , , , , , , . Bookmark the permalink.

5 Responses to Kouris Kalligas: Analyzing My Weight and Sleep

  1. Eric Jain says:

    When, then, *all else being equal*! For example, could it be that being more active causes you to eat more (and still lose weight)?

    • Kouris says:


      I thing you’re stating the obvious so I guess the answer is yes :-) . My point is that a data-driven approach doesn’t tell the whole story, but it tells a story and you shouldn’t ignore that, at least I don’t. By diving into the details and putting some context in it you’ll find amazing insights.

  2. Gustavo Glusman says:


    Thanks for the interesting talk.

    I’m curious to know how you determined causation from what appears to be a correlation analysis.
    Also, how did you determine significance for each correlation?
    How many correlations did you consider, and did you correct the statistics for multiple testing?

    – Gustavo

  3. Peter says:

    Kouris. Only just saw your vid. What are the trackers you were using in the video and are you still using that many!

  4. miron says:

    Conclusion: He should have put those 40 hours into working out aditionaly instead of sitting,typing and analyzing his data. Thats an aditional 40 minutes Workout 5 times a week over the 3 months period. Gues what, his weight loss and sleep quality would by far exceed the insights he gathered from this analysis.

Leave a Reply

Your email address will not be published. Required fields are marked *


You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>

Notify me of followup comments via e-mail. You can also subscribe without commenting.