What Your Wearable Won't Tell You

Your sleep score is red again. Your glucose spiked after that “healthy” meal. Your heart rate variability is lower than yesterday. Now what?

If you’re like most people navigating chronic health challenges with the help of wearable technology, you’re probably reaching for a supplement, adjusting your protocol, or googling “how to fix [insert metric here].”

But what if that narrow lens provided by your biohacked result is actually leading you astray?

Someone using a continuous glucose monitor might notice a spike in blood sugar after consuming a particular food. Instead of examining the broader context—what they ate before or after, their stress levels, their physical activity prior to eating—they quickly attribute the spike solely to that specific food. They miss the intricate interplay of various factors in a blood sugar response.

This is how wearables can inadvertently promote a contemporary version of applying a Band-Aid to an assumed issue, without grasping underlying causes and frequently neglecting more straightforward solutions.

Think about it: if the data tells you your glucose spiked after eating an apple, you might eliminate apples. But what if the real culprit was the stressful work call you took while eating, the fact that you skipped breakfast, or that you ate the apple at 9 PM when your circadian rhythm expects rest, not digestion?

Here’s what happens in the tunnel-vision state that stems from chronic symptoms and frustration: we seek anything that promises to alleviate discomfort and uncertainty, even if it costs us our savings, our pleasures, or both.

But what if that melatonin you chose to help your REM sleep introduces digestive distress or daytime drowsiness? What if it negatively interacts with another part of your healthcare protocol? What if you trial a sleep supplement with several agents and can’t tell where the rash that suddenly appeared came from?

As a Functional Medicine Nutritionist who’s witnessed this cycle in both patients and practitioners for over two decades, I’ve seen how the frenzied pursuit of relief leads people to even more hacks—tests, techniques, pills, protocols—in pursuit of a breakthrough.

Many individuals find themselves endlessly chasing solutions, spending countless resources, and facing confusing guidance from numerous advisors, all while enduring persistent symptoms. The search for solutions, fueled by enticing wearables and experts promoting various cure-all methods—cryotherapy, saunas, nootropics, dietary theories—often sends people down a convoluted path of costly experimental interventions.

But here’s what I’ve learned: the root causes aren’t your methylation, mitochondria, or mold. They aren’t your anxiety, autoimmune condition, or asthma. The root causes are deeply intertwined with lifestyle, emotional health, and the broader context of our lives.

The data from your wearable represents just one narrow slice of a much larger picture. It cannot capture your stress response to that difficult conversation with your teenager. It doesn’t know about the grief you’re processing or the career transition keeping you awake. It has no context for the decades of pushing through red flags or the cultural messaging about your worth being tied to your productivity.

What if health isn’t merely about chasing numbers and quick fixes, but about uncovering the deeper meanings behind our life experiences? What if every illness truly is a narrative, as writer Anatole Broyard suggested—a story waiting to be told?

The distinction between quantitative data (your sleep score, glucose reading, step count) and qualitative data (your energy patterns, emotional landscape, life transitions) isn’t just academic. It’s the difference between managing symptoms and understanding systems. Between quieting alarms and addressing what’s generating them.

This goes much deeper than wearable technology—it’s about how we’ve been taught to relate to our bodies and what we’ve been conditioned to trust. The complete exploration of qualitative vs. quantitative health data, including practical frameworks for reading your body’s actual signals, is in the full essay: Read: “You Can’t Hack Your Health” - Part 2