Not a lot of people online know this about me, but I’m a numbers guy at heart.
The only time it really comes out nowadays is in posts like my randomized plan to quit coffee (before I embraced the habit of enjoying a single, delicious cup of the stuff each day) and in the mindset to create formulas instead of recipes.
But prior to starting No Meat Athlete, numbers were my life: I was in grad school working on a PhD in Applied Math (I decided to stop with a Masters after No Meat Athlete took off), and spent my free time — when I wasn’t running or cooking — building models for sports betting and poker-playing, or reading books about randomness, artificial intelligence, and game theory.
Not even three years removed from that life, I still have a soft spot for numbers, and that’s the reason for today’s post.
You may have heard of Lift; it’s a habit-change app that uses coaching, group accountability through check-ins and encouragement, reminders, and other tools to help people reach goals — but it gets especially interesting when you consider the information that so much activity creates. With all of this user-generated data about what works and what doesn’t, Lift is in a unique position to discover new things about how human beings change habits.