1. How Much Fun is Maximum Fun?

    Intro

    I’m a big consumer of podcasts. Ever since I started living on my own while in graduate school I’ve found that having funny and interesting people in my ears helps me get through the day. Even now that I’m cohabiting with my wife I haven’t left my trusty podcasts behind. They’re great for the long commutes back and forth to San Diego, for reducing my stress while stuck in LA traffic, and for making my laugh while I cook, clean, and exercise. …


  2. I'm the Doctor Now

    Well, it’s finally done. Eight years after I started this crazy graduate school journey I’ve successfully defended my dissertation. It wasn’t easy, it wasn’t perfect, but it’s done and I couldn’t be happier to have accomplished this milestone. …


  3. Visualizing Time Series Data

    When working with human behavior you’ll almost always have to deal with data that is formatted as a time series. Briefly, time series data corresponds with repeated measures of a variable (or multiple variables) at consistent intervals over a period. …


  4. Ode to the Outshot


    I’ve been listening to podcasts for a while. Like most people I started with the juggernaut, This American Life, but quickly opened up my catalogue to other shows and ideas. I’m sure if you were to plot my podcast listening statistics you’d see a sharp uptick in hours listened when I started my second round of graduate school almost six years ago in San Diego. …


  5. Hardware is Hard

    I’ve been thinking a lot lately about stuff I’ve written, but is lost in other ecosystems. I got a Quora notification this evening and it reminded me of something I wrote on that site over two years ago in response to the question, “How hard is it for a startup to design hardware like Jawbone UP, Nike+ Fuelband, Fitbit, etc.?” I really like my answer, but I’m biased (and “me” is a small sample size). I’ve reproduced it here with a few edits and added updates via footnotes. Let me know what you think.


  6. The Data Dilemma: Enjoy Sports in the Age of Analysis

    It’s easier than every to measure anything we want, and it’s easier than ever to analyze that data, which means no field of human endeavor is safe from the effects of big data. -Derrick Harris, GigOM


  7. Living With Data

    Earlier this week an old friend of mine sent me a message outlining a request. In an effort to get back to his habit of drawing and creating he was reaching to a few of his friends for some inspiration and ideas. …