Metrics can reveal real things. They can also quietly steal your values. That is the core argument in an MIT Technology Review essay that starts with a personal experiment and scales outward into a warning about measurement itself.

The writer begins in 2011 with a small plastic clip-on Fitbit that counted steps per day. What was supposed to build “self-knowledge” instead became a chasing game: 6,000 steps turned into 10,000, then 15,000, and eventually settled at 20,000 for years. Along the way the tracking ballooned from pedometers to heart-rate monitors, smartwatches, sleep-tracking rings, and macronutrient tabulating apps, plus web analytics tools like Chartbeat that quantify attention via page views, followers, retweets, likes, and related engagement measures. The claim is blunt: after 10-plus years of tracking steps, heart rate, active calories, sleep, story engagement time, stress levels, and other metrics, the writer “gained virtually nothing in terms of greater self-knowledge.”

If you are a founder, investor, or operator, the business translation writes itself. When a metric becomes the mission, it stops being a tool and starts being a steering wheel. The essay describes a pattern executives will recognize even if they hate the feeling: once measurement is in place, it doesn’t stay still. There is always “a new metric around the corner,” always a better way for a tracker to remix readings, always a more refined proxy for what matters. The writer lists the escalation arc: heart rate variability, daily stress, exercise “readiness,” and cardiovascular or “fitness” ages. Measurement begets more measurement. That dynamic is not just annoying in personal life, it is structurally powerful in organizations because it converts ambiguity into dashboards and dashboards into commitments.

There is a second, less obvious lesson that matters even more at the board level. The more nuanced the original goals are, the more likely you eventually replace them with some simplified metric or ranking. The essay explains it through the lens of “value capture,” a concept from philosopher C. Thi Nguyen’s recent book The Score: How to Stop Playing Somebody Else’s Game. Value capture happens, Nguyen argues, when you adopt external sources of measurement and then let them rule you without adapting them to suit your life. In the writer’s words, this means you are “outsourcing your values,” letting an external metric or ranking set what’s important, and outsourcing the process of figuring out meaning.

The examples scale far beyond self-help. The essay gives a concrete chain of substitutions: a restaurant stops caring about making good food and starts caring about maximizing its Yelp ratings; students stop caring about education and start caring about their GPA; scientists stop caring about finding truth and start caring about getting the biggest grants. It even extends into religion, where a pastor told the writer that their church became obsessed with baptism rates, with monthly internal leaderboards that dominated attention. The thread connecting all these stories is that metrics do not merely measure reality. They reshape what people notice, prioritize, and optimize for, often in ways that are orthogonal to the original purpose.

Why should executives care right now? Because we live in an era where AI and analytics increase the availability of measurement, and the essay explicitly frames the modern quest as easier than ever thanks to “a flood of devices, apps, and websites” designed to build self-knowledge through numbers. In business terms, that is how you get well-intentioned KPI ecosystems that start as decision support and end as value capture machines. Even when you know the deeper value is not fully reflected in a metric, it can still be hard to resist the lure of a simple score. The writer’s work context matters too: they were a technology journalist watching social media and web analytics tools like Chartbeat promise to quantify “job success” and “impact” through attentional metrics. That is the classic conversion risk: if your organization rewards the proxy, the proxy will absorb the strategy.

The second-order implication is that metric-driven systems can become self-reinforcing. You increase tracking to reduce uncertainty, but you can end up increasing fixation, dissatisfaction, and gaming while gaining little meaningful insight. In the essay, personal life becomes a mirror for institutional behavior: the writer reports that the more numerical proxies they used, the worse they felt about pretty much everything, even as they kept adding data. For boards and leadership teams, the stakes are straightforward: if your measurement stack encourages endless refinement and proxy substitution, you can distort culture, redirect effort, and crowd out learning.

The strategic takeaway is not “stop measuring.” It is to treat measurement governance like a real governance topic. If your KPIs can endlessly expand, if they can replace nuanced goals with simplified rankings, and if incentives can reward the proxy over the purpose, then the metric system will eventually capture what your organization values. The writer’s decade-long arc is a personal case study, but it lands like a corporate warning: the moment you outsource meaning to numbers, you may still get charts. You just might not get the thing you actually set out to build.