What The Body Knows That The Data Doesn’t

Sometimes knowledge can be seen as a bell curve, where confusion starts to emerge only after you start to dive deeper into something. And it’s not confusion of ignorance, but the idea of having more information than you have wisdom to interpret it. That’s where many of us are with our health right now in the era of wearable devices and optimisation.

We have continuous glucose monitors, sleep scores, heart rate variability readings, and blood panels that would have seemed extraordinary even twenty years ago. We have, in short, more data points relating to our health than ever, and yet something about the experience of actually feeling healthy remains as elusive as it always was.

And this feeling of wondering what it’s all for is worth sitting with, because the story we tell ourselves about what the data means might be incomplete. Our bodies might be saying one thing, while the data says another.

There is a pattern running through the history of medicine that tends to get lost in the excitement of each new breakthrough. Usually, we discover something new, declare it the answer, then spend decades realising it was only part of the answer, before eventually finding our way back to a more holistic understanding of the body.

And this idea can also apply to other elements of healing and medicine. Aspirin comes from willow bark, morphine from poppies, and digoxin, still used in cardiac care today, from foxglove. A striking proportion of modern pharmacology traces its roots to traditional botanical knowledge that the formal medical establishment spent most of the twentieth century treating as superstition. The knowledge existed in other systems long before clinical trials confirmed it. We had simply stopped paying attention to those systems or deemed them irrelevant.

But Alexander Fleming's discovery of penicillin in 1928 is the canonical version of this story, where a contaminated petri dish and a moment of noticing rather than discarding led to hundreds of millions of lives saved. But Indigenous and traditional healers had been using mouldy bread and antimicrobial plants for wound treatment for centuries.

Discovery, in medicine, has often been the formal world catching up with what other ways of knowing had already found. History keeps suggesting that the places we go furthest wrong are the places where we treat the body as a machine to be fixed, rather than a system to be understood.

So, what happens if we take that pattern seriously and project it forward?

We are living through what might be remembered as the quantification era of personal health, and the era when it first became possible for ordinary people to generate real-time biological data about themselves. It’s significant and marks the shift from reactive medicine, treating disease after it appears, to predictive medicine, catching the signs before the problem emerges, as one of the more consequential transitions in the long history of human health.

And the wearable biosensors, AI-assisted diagnostics, microbiome therapies, and digital twins of human physiology are not distant possibilities. Most of them are already in clinical use or close to it, and it all starts with collecting our own health data. But remove the assumption that more data automatically means better understanding, and a different picture comes into view.

Chronic stress is now confirmed as a major driver of inflammation and immune dysfunction. Trauma is linked to elevated disease risk across multiple biological systems. Social isolation has measurable effects on cardiovascular health and longevity. Meditation produces structural changes in the brain visible on an MRI. The body responds to its psychological environment just as it responds to food, movement, and sleep.

And this knowledge has existed in various forms across cultures for a very long time. But the formal Western system is, once again, arriving at what other cultures and ways of knowing had already mapped out. So, the future of health, if we're paying attention, may not be a choice between the quantified and the intuitive, but the integration of both, with enough humility to recognise what each cannot see on its own.

So perhaps what is worth carrying forward is asking what it would mean to use the tools of this era, not to optimise the body, but to understand it more deeply? Not to be given a score of healthy or unhealthy, but to notice its own patterns. Not to achieve a state of perfect health (which has never been a permanent condition for any human who ever lived), but to develop the kind of attentiveness that lets you read your own system without judgement.

The most interesting ideas and developments in personal health right now may not be in a laboratory or a product launch. It may be in the space between the data and the person looking at it, and what that person is willing to learn about themselves that no dashboard or blood panel will ever show.

To optimise or not to optimise. We dive deeper into the future of health in this week’s podcast: