My diet metrics are quite rudimentary. It’s literally if I have eaten meat that day or not, and the same thing for something with added sugar that day (if I eat a cookie that’ll be a yes, while if I just have fruit I won’t count that in the sugar column).
I know that many people in the QS/biohacking world look for very accurate measurements of what’s going on in their body. I have nothing against that, but that’s not the kind of data I’m most interested in. I’m looking for more long-term trends & correlations, and ease of collecting this data. It’s the same reason I track my mood on a 1-5 scale as opposed to some of the more advanced data collection techniques out there. The ease of use pays off as over time I get enough data to draw meaningful insights.
Glad you think the blog post is interesting. Let me know what you think if you get a chance to upload your own data!
The plan is to put out some more QS writing on my data blog (I’m trying to get better at writing these days) and make some of the analysis that I do available to others via interactive notebooks on my page. If they resonate enough with folks in the QS + health-conscious community, then I’ll re-assess and see if it makes sense to bring a more cohesive application to market. But for right now I’m just enjoying writing more words than code for a change