The air in the boardroom was exactly 72 degrees, but the tension made it feel like 92. Rick, our VP of ‘Making Things Look Better Than They Are,’ was currently worshiping at the altar of a PowerPoint slide. The line was blue. It was aggressive. It climbed toward the top-right corner of the screen like a desperate hiker. ‘The trajectory is undeniable,’ Rick said, his laser pointer dancing over a series of dots that represented human behavior but looked more like scattershot from a 12-gauge. Jackson F.T., a museum education coordinator who usually spends his days organizing the quiet chaos of historical exhibits, leaned over and whispered to me that he’d caught himself arguing with his own reflection in the hallway mirror earlier that morning. Apparently, he was trying to convince himself that 52 percent growth in ticket sales mattered more than the fact that 322 people had asked for their money back because the exhibits were falling apart. We are all talking to ourselves these days, aren’t we? We use spreadsheets as a form of ventriloquism, making the numbers say exactly what we need to hear so we don’t have to look at the wreckage in the rear-view mirror.
Someone in the back of the room asked about the Y-axis. The scale was missing. The vertical rise could have represented a thousand units or 2 units; it was impossible to tell.
Rick didn’t even blink. ‘The trajectory is what’s important. The momentum is the metric.’
This is a masterclass in the ‘data-supported’ decision. Rick hadn’t looked at the data to find a direction; he’d chosen a direction and then hired the data to work as his personal security detail, guarding his ego against the intrusion of reality.
The Illusion of Objectivity
We claim to be ‘data-driven,’ a phrase that suggests a level of clinical objectivity usually reserved for laboratory technicians and structural engineers. But we aren’t being driven by the data. We are driving the data, often into a ditch, while pretending our hands are off the wheel. We treat data like a religious text-open to interpretation, selectively quoted, and used primarily to excommunicate those who disagree with the high priests. Jackson F.T. knows this better than anyone. At the museum, they track everything. They track ‘dwell time’ in front of the 18th-century porcelain. They track ‘pathing’ through the gift shop. They have 22 different KPIs for ‘visitor engagement.’
[The data says they are learning, but the silence in the hallways says they are just bored.]
Jackson told me about a 152-page report they commissioned last year. It was supposed to analyze why the new interactive wing was underperforming. The data showed that 82 percent of children spent at least 12 minutes at the ‘Water Power’ station. On paper, it was a triumph. Success! Engagement! Synergy! But Jackson, who actually walks the floor, saw the truth. The kids weren’t learning about hydroelectricity; they were just trying to see how much water they could spray on their friends before a security guard noticed. The ‘data’ recorded engagement, but it ignored intent. It ignored the human reality of the situation. The report recommended building 2 more water stations. Jackson recommended a mop and a new career path. He’s still there, though, mostly because he likes the way the old marble floors feel under his shoes, and because someone has to be the ghost in the machine who actually remembers what a person looks like.
Engagement vs. Intent: The Water Station Anomaly
*Estimated based on physical observation (Jackson F.T.)
The Abdication of Judgment
We have reached a point where the metric has become the product. We no longer care if the software is intuitive; we care if the ‘churn rate’ is down by 2 percent. We don’t care if the employees are burning out and talking to themselves in the breakroom (as I was caught doing just 12 minutes ago); we care that the ‘productivity units’ are trending upward. It is a dangerous form of abdication. When a leader says, ‘the data tells us to do X,’ they are effectively removing themselves from the equation. They are saying, ‘Don’t blame me, I’m just following the numbers.’ It is the ultimate shield for the cowardly. If the decision leads to a disaster, the leader can point to the spreadsheet and claim they were just being diligent. They weren’t being diligent; they were being lazy. They traded their judgment for a chart with a 42-degree slope.
Emotion is Scalable
A Human is not a BTU
There is a fundamental difference between data that describes a physical reality and data that attempts to quantify human whim. When you are dealing with the physical world, the data is a boundary, not a suggestion. If you are calculating the thermal load for a server room or a living room, you cannot ‘interpret’ the laws of thermodynamics. You cannot tell a room it is cool just because the trajectory of your sales looks good. In those instances, data is a tool for survival. You look at the square footage, you look at the insulation, and you realize that if you don’t have exactly 12002 BTUs of cooling power, the system will fail. This is the kind of practical honesty you find at minisplitsforless, where the numbers actually mean something tangible. There, the data isn’t a story you tell to a board of directors; it’s the difference between a functional environment and a sweltering box. But in the corporate world, we’ve lost that tether to the physical. We think we can ‘scale’ emotions and ‘optimize’ loyalty, ignoring the fact that a human being is not a BTU.
The Truth Hides in the Outlier
I find myself staring at Rick’s chart again. I think about the 522 hours of human labor that went into collecting those numbers, most of which were likely massaged, cleaned, and ‘normalized’ until all the interesting parts were scrubbed away. Data cleaning is often just a euphemism for ‘removing the contradictions.’ But the contradictions are where the truth lives. The truth is in the outlier. The truth is in the 2 people who hated the product so much they wrote a physical letter. Rick doesn’t like letters. Letters don’t fit into a CSV file. Letters have a tone. They have a smell. They have a soul. Data, as we use it now, is designed to be soul-proof.
Jackson F.T. once tried to explain this to his director. He brought in a drawing a child had left behind in the museum-a messy, chaotic sketch of a dinosaur that looked more like a lumpy potato. ‘This is our data,’ Jackson said. ‘This child was inspired.’ The director looked at the drawing, then at Jackson, then back at his screen. ‘Can we quantify the inspiration?’ the director asked. ‘If not, it’s just an anecdote. I can’t put an anecdote into the quarterly review for the 12 board members.’ Jackson realized then that the museum wasn’t in the business of education anymore; it was in the business of generating reports that justified the existence of the museum. It was a circular logic that required $322,000 worth of software to maintain.
“
[We are building cathedrals out of sand and wondering why the wind keeps changing the shape of the towers.]
– Consequence
The Prison of Aggregates
I’ve made these mistakes myself. I once spent 22 days obsessing over the click-through rate of an email campaign, only to realize that the ‘unsubscribe’ link was broken. The data told me everyone was staying on the list because they loved the content. The reality was that I was essentially holding them hostage. I was ‘data-driven’ right into a PR nightmare. I felt like a fool, and honestly, I was. I had ignored the three angry emails sitting in my inbox because they didn’t match the ‘positive sentiment’ trend the software was showing me. I chose the aggregate over the individual. I chose the ghost over the person.
Broken Mechanism Detected
Data implied 100% retention; Reality implied hostage situation (Unsubscribe Link Failure).
We need to stop using data as a substitute for character. A leader who cannot make a decision without a dashboard is not a leader; they are a glorified weather vane. Real judgment requires the ability to look at a chart that says ‘Go’ and have the guts to say ‘No, because I can see the bridge is out.’ It requires listening to the person talking to themselves in the hallway. It requires acknowledging that some things, the most important things, end in 2 but cannot be counted in 12s or 52s. We need to return to a world where we use numbers to understand our limits-like knowing you need a specific unit for a specific room-rather than using them to pretend we have no limits at all. The next time someone shows you a chart with a dramatic upward trend, ask them what happened to the people who fell off the line. Ask them about the Y-axis. And if they tell you not to get bogged down in the details, that is exactly when you should start packing your bags.