The Informal Experiment Problem
You're already running health experiments. You just don't realize it.
Every time you try a new supplement, adjust your sleep schedule, cut out alcohol for a week, or start a new workout routine, you're running an experiment. You change something, you wait, and you evaluate whether things got better.
The problem is that you're evaluating with the worst possible instrument: your memory.
Three weeks after starting creatine, someone asks if it's working. You think back. Was your energy better? Maybe. Were your workouts stronger? You had that one good session, but also that terrible one. Did anything else change during that period? You switched to a new pre-workout, your sleep schedule shifted because of a work project, and you were stressed about a deadline.
The honest answer is: you have no idea if the creatine is doing anything. But you'll probably pick a narrative anyway — "yeah, I think it's helping" — because that's what brains do. They fill in gaps with stories.
Why Memory Fails at This
Memory isn't a recording. It's a reconstruction, and it's biased in specific, well-documented ways:
Recency bias. How you felt yesterday dominates how you remember the entire past month. A bad night of sleep last night can make you feel like the whole protocol isn't working, even if the previous 13 days were great.
Confirmation bias. If you spent $40 on a supplement and 20 minutes reading about its benefits, your brain is motivated to find evidence that it's working. You'll unconsciously weight the good days more heavily than the bad ones.
Attribution error. You started taking magnesium and sleeping better. Must be the magnesium. Except you also moved to a darker bedroom, the weather cooled down, and your work stress decreased. Without tracking all the variables, you can't attribute the change.
Novelty effects. New routines often produce short-term improvements just because they're new — you're more engaged, more motivated, more attentive. These effects fade, but by the time they do, you've already declared victory and moved on.
None of this makes you stupid. It makes you human. The solution isn't better willpower or sharper intuition. It's a system that doesn't rely on memory.
What Structured Tracking Actually Looks Like
Structured tracking doesn't mean lab coats and spreadsheets. It means recording a few key data points consistently so that when you ask "is this working?" you have an actual answer.
Here's the minimum viable approach:
1. Write Down What You Changed
This sounds obvious. It isn't. "I started taking some supplements in March" is useless three months later. "Started 600mg ashwagandha (KSM-66), taken with dinner, on March 8th" is something you can work with.
Record the specific intervention, the dose or details, and the exact start date. When you stop or change something, record that too.
2. Pick 2-3 Metrics and Track Them Daily
Choose a mix of subjective and objective measures:
- Subjective: Rate your sleep quality, energy, mood, or focus on a 1-10 scale. Takes 30 seconds.
- Objective: Let your wearable capture HRV, resting heart rate, sleep stages, and sleep duration automatically.
The combination matters. Subjective data captures how you actually feel. Objective data catches what your perception might miss.
3. Establish a Baseline First
This is the step most people skip, and it's the most important one. You need to know where you started before you can measure change.
Track your metrics for at least 7-14 days before introducing the new variable. This is your baseline. Without it, you're comparing your current state to a memory of your past state — which, as we've established, is unreliable.
4. Change One Thing at a Time
The hardest discipline in self-experimentation. You want to optimize everything at once. But if you change your supplement stack, your sleep schedule, and your training volume in the same week, your data is useless. You'll see a change (or not) and have no idea which input caused it.
One variable. Two to four weeks. Then evaluate.
5. Set an Evaluation Date in Advance
Before you start, decide when you'll assess the results. "I'll run this for 21 days, then compare my intervention period to my baseline." This prevents the common trap of constantly evaluating — checking every day whether it's "working yet" — which leads to premature conclusions.
The Experiment Framework
What we've described is essentially a simplified personal experiment:
- Question: What are you testing?
- Baseline: What does normal look like for you right now?
- Intervention: One specific, documented change
- Tracking: Consistent daily metrics (subjective + objective)
- Evaluation: A pre-set comparison point
This isn't complicated. It doesn't require a science degree. It requires consistency and a willingness to let the data answer the question instead of your gut.
The payoff is that over time, you build a personal evidence base. You stop guessing which supplements work for you and start knowing. You stop cycling through protocols based on podcast recommendations and start making decisions grounded in your own data.
That's the difference between optimizing and guessing. Both feel productive. Only one actually is.