The death of the "objective truth" in the workplace?
in Economy ·
I’ve been sitting here for the last hour thinking about how much of our modern social fabric relies on data that we collectively agree to believe, even if we hate what it tells us. There’s this strange, creeping trend lately where anyone who asks for a hard number or a documented trend is immediately accused of being "biased" or "ideological." It feels like we’re moving toward a world where if a fact is uncomfortable, we just decide to stop collecting it.
Growing up, I always thought of "fairness" as something that could be measured. If you’re in a room and things aren't going right, you look for the pattern. You look for the math. If you can show that Group A is getting the corner offices and Group B is getting the mailroom, you have a lever to pull. You have a way to argue your case that isn't just "I feel like this is unfair." You have a lever made of steel—the data.
But lately, it feels like those levers are being dismantled. I’m seeing this more and more in professional circles: a shift from "Let's look at the statistics to see where we're failing" to "Let's focus on individual merit and stop looking at demographics altogether." On the surface, that sounds noble, right? It sounds like the ultimate way to avoid prejudice. But in practice, I worry it’s just a way to make the invisible, visible.
Think about it from the perspective of someone feeling isolated at work. If you feel like you're hitting a glass ceiling, or if you feel like the path to promotion is being blocked by something you can't quite name, what do you do? If there are no centralized, standardized ways to track who is moving up and who is being left behind, you’re just a person with a "hunch." You're just someone with a "feeling." And in a corporate environment, a feeling is something that can be easily dismissed with a polite smile and a patronizing pat on the back.
I remember a friend of mine who worked in a high-level tech firm. She was brilliant, she hit every KPI, but she kept getting passed over for leadership roles. She spent years questioning her own competence. She thought maybe she wasn't "leader material" or that her personality wasn't "the right fit." It wasn't until she saw some internal numbers—numbers that were eventually scrubbed or obscured—that she realized her experience wasn't an isolated fluke. It was a trend. The data gave her back her sanity. It turned her personal doubt into a systemic reality.
When we stop measuring things, we aren't making the world more equal; we're just making it more opaque. We’re essentially saying, "If we don't keep a record of the problem, the problem technically doesn't exist." It’s a way of sanitizing the environment to make it look more perfect than it actually is. It’s much easier to manage a company when the spreadsheets look uniform, but that uniformity might just be a mask for deep-seated, quiet exclusions.
I'm not saying that every single data point is gospel. We know data can be manipulated, and we know that "identity politics" can sometimes be used as a distraction. But there is a massive difference between using data to drive policy and simply refusing to acknowledge that data exists. One is an attempt to understand a complex reality; the other is a way to hide from it.
If we move into an era where we prioritize "individualism" to the point that we refuse to track the broad patterns of how people are treated, aren't we just handing a massive advantage to those who are already in power? If you can't prove a pattern, you can't fight the pattern.
Do you think we're heading toward a future where "objective" metrics are replaced entirely by "subjective" experiences, and if so, does that actually help the people who are most vulnerable to being overlooked?
Growing up, I always thought of "fairness" as something that could be measured. If you’re in a room and things aren't going right, you look for the pattern. You look for the math. If you can show that Group A is getting the corner offices and Group B is getting the mailroom, you have a lever to pull. You have a way to argue your case that isn't just "I feel like this is unfair." You have a lever made of steel—the data.
But lately, it feels like those levers are being dismantled. I’m seeing this more and more in professional circles: a shift from "Let's look at the statistics to see where we're failing" to "Let's focus on individual merit and stop looking at demographics altogether." On the surface, that sounds noble, right? It sounds like the ultimate way to avoid prejudice. But in practice, I worry it’s just a way to make the invisible, visible.
Think about it from the perspective of someone feeling isolated at work. If you feel like you're hitting a glass ceiling, or if you feel like the path to promotion is being blocked by something you can't quite name, what do you do? If there are no centralized, standardized ways to track who is moving up and who is being left behind, you’re just a person with a "hunch." You're just someone with a "feeling." And in a corporate environment, a feeling is something that can be easily dismissed with a polite smile and a patronizing pat on the back.
I remember a friend of mine who worked in a high-level tech firm. She was brilliant, she hit every KPI, but she kept getting passed over for leadership roles. She spent years questioning her own competence. She thought maybe she wasn't "leader material" or that her personality wasn't "the right fit." It wasn't until she saw some internal numbers—numbers that were eventually scrubbed or obscured—that she realized her experience wasn't an isolated fluke. It was a trend. The data gave her back her sanity. It turned her personal doubt into a systemic reality.
When we stop measuring things, we aren't making the world more equal; we're just making it more opaque. We’re essentially saying, "If we don't keep a record of the problem, the problem technically doesn't exist." It’s a way of sanitizing the environment to make it look more perfect than it actually is. It’s much easier to manage a company when the spreadsheets look uniform, but that uniformity might just be a mask for deep-seated, quiet exclusions.
I'm not saying that every single data point is gospel. We know data can be manipulated, and we know that "identity politics" can sometimes be used as a distraction. But there is a massive difference between using data to drive policy and simply refusing to acknowledge that data exists. One is an attempt to understand a complex reality; the other is a way to hide from it.
If we move into an era where we prioritize "individualism" to the point that we refuse to track the broad patterns of how people are treated, aren't we just handing a massive advantage to those who are already in power? If you can't prove a pattern, you can't fight the pattern.
Do you think we're heading toward a future where "objective" metrics are replaced entirely by "subjective" experiences, and if so, does that actually help the people who are most vulnerable to being overlooked?