The Case for Not Tracking Anything

What happens when you stop counting.


At some point in the last ten years, a significant number of people began to experience their bodies through an interface.

Not directly — not through the proprioceptive signals that have been the primary data source for human health for the entirety of human history — but mediated. Through a score. A ring. A watch that vibrates when your heart rate enters a zone. An app that tells you whether the sleep you just had was good.

This is a strange development. And it happened so quickly, and with such confident branding, that it became normal before anyone asked whether it was a good idea.


Here is what tracking measures: proxies.

Steps are a proxy for movement. HRV is a proxy for recovery. Sleep stage data from a wrist-worn accelerometer is a proxy for a proxy — consumer devices do not actually measure sleep stages, they model them based on movement and heart rate, and the models are imprecise at the individual level regardless of what the company literature says.

The number on the screen is not the thing. It is an approximation of a signal derived from a measurement that correlates at the population level with an outcome that may or may not be relevant to you specifically.

This is not a scientific objection to tracking. It is an ontological one. The question is not whether the numbers are accurate. The question is whether the numbers are what you should be paying attention to.


There is a concept in measurement theory called the observer effect: the act of measuring a system changes the system. In physics this has technical meaning. In human behavior it is simply true that what you measure becomes what you manage, and what you manage becomes what you are trying to optimize, and optimization changes the nature of the experience you are having.

The person who tracks their sleep is not having the same relationship to sleep as the person who doesn't. They are solving a different problem: not "did I rest" but "did I perform resting correctly." The person who tracks their food is not eating. They are inputting data.

The measurement doesn't just observe the thing. It replaces it.


The specific damage this does varies by domain but the structure is consistent.

With food: the plate becomes a spreadsheet. Pleasure becomes a rounding error. Social eating — the shared table, the unreasonable dessert, the second glass of wine that wasn't on the plan — becomes an act of deviation rather than an act of eating with people you like.

With sleep: the morning becomes an evaluation. You wake up and immediately know whether the night was a success before you have your own assessment of it. People have reported going back to sleep after a poor score on the assumption that they must still be tired, regardless of how they felt. The device had standards.

With exercise: the heart rate zone replaces the feeling of the run. The metric replaces the movement. People who trained for years by feel — running when they felt like running, stopping when they felt done — suddenly find themselves managing a number, and the run becomes a performance delivered to an audience of one algorithm.


What gets lost is something that doesn't have a clean name. Proprioception is the closest: the body's native ability to know itself. Not through reflection, not through data, but through direct signal.

This is an ancient system. It is well-calibrated. It has been the primary information source for every decision about rest, food, movement, and pain for the entire history of the species. It is not perfect — hunger lies, tiredness can be confused with boredom, pain can be ignored to bad effect — but it is real-time, personal, embodied, and it communicates in a language that is legible to the person who has it.

Tracking doesn't supplement this system. Over time, it displaces it. The person who has tracked long enough begins to distrust the raw signal in favor of the processed one. "I feel fine" becomes less reliable than "my recovery score is 72." The technology that was meant to help you know yourself better teaches you to know yourself less.


The invitation here is not radical. It is not to stop caring about your body or to ignore signs that something is wrong. It is to try, for some period, to run the original software.

Wake up and notice how you feel before you look at anything. Eat when you're hungry. Sleep when you're tired. Move when your body asks for it and rest when it doesn't. Go outside. Notice the difference between a day when you feel well and a day when you don't, without a device to adjudicate.

You may find that the native system is sufficient. You may find that it was always sufficient, and that the tracking habit was not improving your health — it was managing your anxiety about your health, at the cost of your actual experience of having a body.

The things worth measuring are mostly the ones you can't.

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