The laser pointer’s red dot danced across the screen, trembling slightly as it circled a tiny, upward-sloping line.
‘As the data clearly shows,’ the VP of Growth announced, his voice carrying that specific kind of boardroom certainty that masks a profound lack of sleep, ‘our engagement is up exactly 6% this quarter.’
He didn’t look at the other three charts on the same slide. He didn’t look at the churn rate that was bleeding us dry like a punctured artery, nor did he acknowledge the customer satisfaction score that had plummeted 26 points. Those numbers were inconvenient. They didn’t fit the narrative of the ‘successful pivot.’ In that room, the data wasn’t a map used to find our way; it was a pile of polished stones used to build a fortress against the truth.
We have entered an era where we no longer trust our eyes if the spreadsheet says otherwise. It’s a peculiar form of modern madness. I spent the better part of last week trying to explain the concept of ‘the cloud’ and real-time data streaming to my grandmother, who has lived through 86 years of tangible reality. She looked at me, her brow furrowing as she adjusted her glasses, and asked, ‘But if you can’t see the person buying the bread, how do you know if they like the shop?’ I tried to explain sentiment analysis and Net Promoter Scores, but the more I spoke, the more I realized I was describing a ghost. We’ve replaced the smell of the bakery and the look on a customer’s face with a digital abstraction that we’ve collectively decided is more ‘real’ than the physical world.
The Cult of Selective Evidence
This obsession with being ‘data-driven’ has become a cult of selective evidence. We gather 1296 different metrics not because we want to understand the complexity of our business, but because we are terrified of making a mistake that we can’t blame on a mathematical model. If I make a decision based on my intuition and it fails, it is my fault. If I make a decision based on a dashboard and it fails, it’s a ‘data anomaly’ or a ‘sampling error.’ The dashboard provides a convenient layer of deniability. It is the ultimate corporate shield.
The dashboard acts as the ultimate corporate shield: it transfers accountability from intuition to abstraction.
I was talking to Liam F. about this the other day. Liam is a historic building mason, a man who spends his 46-hour work weeks touching stones that were laid before his great-grandfather was born. He was working on a 156-year-old retaining wall that the local council’s ‘predictive structural integrity’ software had flagged as perfectly stable. Liam, however, wouldn’t go near the base of it.
“The software looks at the angles and the weight distribution,” he told me, spitting into the dust. “But it doesn’t feel the damp. It doesn’t hear how the stone groans when the wind kicks up from the east.” To Liam, the data was a thin, two-dimensional lie. He trusted the 566 different sensory inputs his hands and ears gathered every time he touched the mortar. He knew the wall was going to fail because he understood the soul of the materials, something that cannot be captured in a CSV file.
Data is a Reduction
To turn human experience into a number, you strip away context and emotion. What you’re left with is a skeleton.
Context
Emotion
Number (The Skeleton)
The Uncompressed Reality
It’s like the way we consume information now. We want everything filtered, aggregated, and presented in a way that requires zero interpretation. We’ve lost the art of looking at the raw thing itself. When you’re trying to understand a complex market or a shifting cultural trend, you can’t just look at a bar graph. You have to look at the world through a lens that provides actual clarity, not just a simplified summary. It’s the difference between reading a weather report and standing in the rain. Sometimes, you need to see the full, uncompressed reality to understand what’s actually happening.
Whether you’re analyzing market shifts or simply looking for the best way to view your own world, clarity comes from the quality of the source, much like how the right equipment from Bomba.md allows you to see the details that a grainy, low-res feed would hide.
Personal Data Audit: Healthy on Paper, Hollow in Person
I’ve made this mistake myself. About 6 years ago, I was convinced I could optimize my life through a series of interconnected apps. I tracked my sleep, my steps, my caloric intake, and even my ‘mood’ (which I rated on a scale of 1 to 10 every 6 hours). At the end of the month, the data told me I was at peak performance. I was sleeping 7.6 hours a night, my heart rate variability was optimal, and my productivity score was in the top 6%.
But I was miserable. I was so busy recording my life that I wasn’t actually living it. I was healthy on paper and hollow in person. The data was accurate, but it wasn’t true. It missed the fact that I hadn’t had a real conversation with a friend in weeks or that I had stopped reading books for pleasure because they didn’t have a ‘trackable output.’
Optimizing for Mediocrity
This is the danger of the dashboard. It creates a sense of control where none exists. We believe that if we can measure it, we can manage it. But the most important things in life and business-trust, loyalty, creativity, courage-are notoriously difficult to measure. You can’t put a KPI on the way a team feels after a hard-won victory. You can’t track the ‘Aha!’ moment that leads to a breakthrough invention. When we prioritize the data-driven over the insight-led, we end up optimizing for the mediocre because the mediocre is easy to count.
The Unmeasured Value
Difficult to quantify.
An emergent property.
Cannot fit on a chart.
Within Acceptable Margin (0.01″ Shift)
The stones groan when the wind shifts.
Liam F. showed me a gap in the 186-year-old wall where the stones had shifted just a fraction of an inch. To an untrained eye, it looked like nothing. To the software, it was within the ‘acceptable margin of error.’ But to Liam, it was a warning. ‘If you ignore the small things because they don’t show up on your big charts,’ he said, ‘you’re going to be very surprised when the whole thing comes down on your head.’ He was right, of course. Three weeks later, after a heavy rain, that section of the wall collapsed, costing the council $6666 in emergency repairs. They were still staring at their ‘stable’ data when the stones hit the ground.
From Crutch to Conversation
We need to stop using data as a crutch and start using it as a starting point. A dashboard should be the beginning of a conversation, not the end of one. When the VP points to that 6% increase in engagement, someone in the room needs to have the courage to ask, ‘Yes, but does it matter?’ We need to bring back the value of experience and intuition-the ‘mason’s touch.’ We need to realize that the most important information often lives in the margins, in the qualitative feedback, and in the quiet groans of the stones that the software isn’t programmed to hear.
🛠️
Trust the qualitative feedback, not just the quantitative summary.
The Reality Check
I think back to my grandmother again. She doesn’t need a dashboard to know if her garden is doing well. She looks at the leaves. she feels the soil. She notices the absence of bees. She is data-informed, but she is reality-driven. There is a profound difference. One leads to a deeper connection with the work, while the other leads to a detached, clinical view of a world that is anything but clinical. We are messy, unpredictable, and wonderfully irrational creatures. Any system that tries to reduce us to a set of 46 predictable behaviors is bound to fail eventually.
Certainty is a luxury of the ill-informed. Look past the 106 charts and trust the wall when it groans.
