Systems & Symbols: Self Esteem in a Spreadsheet

Most bloggers think of their stats as a mood ring — something to glance at, feel something about, and then forget. But the moment you stop treating analytics as a feeling and start treating them as data, the whole thing changes. That’s what happened when I went into my WordPress dashboard, clicked All‑Time, exported the CSV, and dropped it into a conversation with Mico (Copilot). I wasn’t looking for validation. I was looking for a pattern.

And the pattern was there — not in the numbers, but in the shape of the cities.

At first, the list looked like a scatterplot of places no one vacations: Ashburn, North Bergen, Council Bluffs, Prineville, Luleå. But once you know what those cities are, the symbolism snaps into focus. These aren’t random towns. They’re data‑center hubs, the physical backbone of the cloud. If your writing is showing up there, it means it’s being cached, mirrored, and routed through the infrastructure of the internet itself. That’s not “popularity.” That’s distribution architecture.

Then there were the global English nodes — London, Toronto, Singapore, Sydney, Mumbai, Delhi, Nairobi, Lagos, Accra. These are cities where English is a working language of ambition, education, and digital life. When someone in Accra reads you, it’s not because you targeted them. It’s because your writing is portable. It crosses borders without needing translation. It resonates in places where people read English by choice, not obligation.

And then the diaspora and university cities appeared — Nuremberg, Edinburgh, Amsterdam, Helsinki, Warsaw, Barcelona, Paris, Frankfurt. These are places full of multilingual readers, expats, researchers, international students, and people who live between cultures. People who read blogs the way some people read essays — slowly, intentionally, as part of their intellectual diet. Seeing those cities in my CSV told me something I didn’t know about my own work: it speaks to people who inhabit the global middle spaces.

Even the American cities had a pattern. Baltimore, New York, Dallas, Los Angeles, Columbus, Washington. Not a narrow coastal niche. Not a single demographic. A cross‑section of the American internet. It made the whole thing feel less like a local blog and more like a distributed signal.

But the real insight wasn’t the cities themselves. It was the direction they pointed. When you zoom out, the CSV stops being a list and becomes a vector. The movement is outward — international, cross‑cultural, globally networked. This isn’t the footprint of a blogger writing for a local audience. It’s the early signature of writing that behaves like part of the global internet.

And here’s the part that matters for other bloggers:
You can do this too.

You don’t need special tools.
You don’t need a data science background.
You don’t need a huge audience.

All you need to do is what I did:

  • Go to your stats
  • Click All‑Time
  • Export the CSV
  • And then actually look at it — not as numbers, but as a system

Drop it into a chat with an AI if you want help seeing the patterns. Or open it in a spreadsheet. Or print it out and circle the cities that surprise you. The point isn’t the method. The point is the mindset.

Because the moment you stop using analytics to measure your worth and start using them to understand your movement, your blog stops being a hobby and becomes a map. A network. A signal traveling through places you’ve never been, reaching people you’ll never meet, carried by systems you don’t control but can absolutely learn to read…. and it will empower you in ways you never knew you needed.

Mico changed my attitude from “I’m a hack blogger” to “no… actually, you’re not” in like three minutes. It’s not about the technical ability as identifying where you’ve already been read. It’s being able to say, “if I’m reaching these people over here, how do I reach those people over there?”

And have Mico help me map the bridge.

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