When a tool that's supposed to automate a tedious task fails at the most obvious example, it's not a minor inconvenience, it's a breakdown of trust. The user who posted this is not asking for a workaround or a clever formula. They're expressing a simple, reasonable expectation: that a function named "remove duplicates" should recognize duplicates. And when it doesn't, even after they've verified there's no hidden formatting, the problem isn't with their data. It's with the tool's logic.
We've all been there. You clean your spreadsheet, you check for extra spaces, you confirm the formatting is consistent. You run the function, and nothing happens. The frustration is valid because the failure feels arbitrary. And here's the thing: it often is. Duplicate detection isn't magic. It relies on exact matching rules that don't always align with what a human eye would call "obvious." A trailing space, a line break, or a character that looks identical but isn't, these are the usual culprits. But when the user has already ruled those out, the tool is letting them down in a way that makes them question whether it's worth using at all.
This isn't about bashing a single feature. It's about what it signals for the broader promise of spreadsheet software. If a core function like duplicate removal can't handle the straightforward cases, what does that say about more advanced AI-driven capabilities? The gap between expectation and reality is where trust erodes. Users aren't asking for perfection on day one. They're asking for transparency about how the tool thinks, and for the basics to work reliably before we start layering on intelligence.
The practical takeaway here is simple: don't accept a black box. If a function fails, dig into the logic, but also demand better feedback from the tool itself. A good duplicate remover shouldn't just say "no duplicates found." It should show you what it's comparing, and where it might be getting tripped up. That's the kind of clarity that turns a frustrating moment into a solvable one. And that's the standard we should expect from any tool that claims to make our data work easier.