The first question I usually get from people is, “so, what are you tracking?”, so I have compiled a list of self-tracking and biohacking experiments I am currently (and plan to be) conducting, which I will update regularly. For me, “tracking” is simply the collection of data – the real fun is constructing experiments around that data to identify correlations or test theories.

One challenge is that I can only conduct a few experiments at any given time – otherwise, actions related to one experiment can interfere with biomarkers that may need to be tracked in another experiment (especially when trying to establish baselines). Another is that some experiments can take a really long time to conduct, especially when trying to establish baseline numbers (see previous point) or waiting for test results (i.e., telomere testing currently takes around 8 weeks to get results). This also explains why I haven’t been posting as frequently as I would like!

I will continue to update this list, and as I complete my n=1 experiments, I will link them to their corresponding write-ups. Don’t hesitate to reach out (you can email me at [email protected]or @QuantifiedBob on Twitter) if you’d like more info or if you working on similar experiments!

Previous QS and Biohacking Experiments:

Experiments in Progress:

Continuous Glucose Monitoring

Many of my self-experiments involve measuring my blood glucose, and to date I’ve relied on a blood glucose meter to take a measurement at a single point in time. Continuous glucose monitors (often used by Type 1 diabetics) use a sensor to continuously take measurements, 24 hours a day, but they are very expensive. Fortunately, there are now (relatively) inexpensive sensors coming to market that allow for continuous glucose monitoring! Things I would like to explore: What foods cause the biggest spike in blood sugar? Is there a circadian rhythm to my glucose levels? What happens to my body overnight while sleeping? Or while exercising?

Oxidative Stress

As our bodies metabolize/process the oxygen that we breathe and our cells produce energy from it, oxidation is a natural byproduct, which also produces free radicals that interact with the molecules within our cells. While a little bit is ok, too much can result in damage (or stress) to nearby cells, mitochondria, and DNA. There are now technologies available to both measure oxidative stress and help the body significantly lower levels and I hope to explore using them!

Vitamin D Tracking

I stopped taking any exogenous Vitamin D supplements at the end of the spring, with the goal of maintaining optimal 25-Hydroxy Vitamin D levels by being outdoors in the sun and eating Vitamin D-rich foods. I’m using a few tools and apps as well to see how accurately they estimate my levels versus blood tests.

Quantifying Biological Age

Using a combination of DNA and telomere analysis, I want to better understand the concept of “biological age” and look at ways things like environment can affect gene expression.

Stress Management with Heart Rate Variability (HRV) Training

Managing stress and Heart Rate Variability (HRV) are areas I am extremely excited about, since they can provide some of the biggest insight into one’s overall well being. For this experiment, I will take a 1-week baseline of blood pressure readings (using my Withings Blood Pressure Monitor), then conduct HRV training using my EmWave2 device to improve my “coherence”, and see if there is any affect on blood pressure/hypertension.

Central Nervous System (CNS) Training

Last year I began training with the folks over at EVO UltraFit on a custom strength program that combines an Electrical Muscular Stimulation (EMS) device called a POV with “extreme isometric” and rebound-style exercises to improve neurological/motor efficiency and correct compensation patterns/movement imbalances. To use an analogy, I can go to the gym to lift weights and build muscle (“software”), but this program is upgrading my “hardware”. My friend Dave (who is also training with EVO) has a great writeup of his experience so far. I will also incorporate a daily CNS finger “tap test” and take waking pulse readings to track my neurological well-being each day (or when to take it easy).

Planned Experiments:

Quantifying the Value of My Time (Time Optimization)

The irony of this experiment has been that I’ve been putting it off for close to a year! The reason has been that I wanted to first establish a baseline of what my typical week looks like, but I now realize there is no such thing as a “typical” week! When “quantifying” the value of my time, it’s less about calculating how much money I make per hour (since it’s not about working more hours to make more money given I’m salaried) but rather determining the opportunity cost of any action in relation to others, then determining an optimal schedule that maximizes my personal benefit. The goal of this experiment is to develop a framework (using some AI and machine learning) to optimize my schedule based on importance of tasks, flexibility in it’s time (i.e., spending time with your children or time at work may be more inflexible than, say, times you can go to the gym or go shopping), pleasure/benefit it provides (i.e., yes I could entirely outsource having someone walk my dog but that is time for us to spend time together), and corresponding opportunity costs (there may be cases where I simply can’t do everything I want so need to make sacrifices).

Hacking Poker

I’ve been a casual poker player for years but it wasn’t until recently I became more interested in figuring out ways to hack the game to my advantage, with the ultimate goal of finishing in  respectable manner in a tournament. I am in the process of increasing my working memory to be able to calculate odds on the fly by using spaced repetition and LOCI memorization techniques, and learning how to analyze opponent behaviors (betting trends) as well as physical tells (both my opponents as well as my own).