You Don't Know What You Like Anymore (And the Algorithm Knows It)

Picture this: You open Netflix, scroll for twenty-five minutes, close Netflix, and open YouTube. Then you close YouTube and open Spotify. Then you sit there. Nothing sounds right. Nothing looks right. You're not tired, you're not busy. You just can't figure out what you want.

This isn't a personality flaw. It's a documented side effect of living inside recommendation engines for the better part of a decade. And it's making people quietly miserable in a way that's hard to explain at dinner parties because the symptoms sound embarrassingly trivial — until you realize they're not trivial at all.

What the Algorithm Actually Does to Your Preferences

Here's the thing about algorithmic curation that doesn't get talked about enough: it's not just showing you things you like. It's actively shaping what you like by controlling what you encounter.

Every streaming platform, every social feed, every music app is running a feedback loop. You engage with something, the system notes it, and it narrows your future options accordingly. Over time, this creates what researchers sometimes call a "preference echo chamber" — a tightening spiral where your taste gets more and more defined by what you've already consumed, leaving less and less room for the random encounters that used to be how people discovered things they loved.

Think about how you found your favorite band in high school. Maybe a friend played something in the car. Maybe a song came on the radio at a diner. Maybe you grabbed a CD based purely on the cover art. None of those discovery moments were optimized. They were accidents. And accidents, it turns out, are how a lot of genuine taste gets built.

Algorithms don't do accidents. They do probability. And there's a meaningful difference.

The Guilt of Liking the Obvious Thing

If you've ever felt a weird flash of embarrassment admitting you love Taylor Swift, or that your favorite movie is actually The Notebook, or that you've listened to the same three Spotify playlists for two years — you've experienced what we might call "taste shame." The sense that your preferences are too mainstream, too predictable, too algorithmically expected.

This is a genuinely new cultural phenomenon. For most of human history, people liked what they liked and didn't spend a lot of energy defending it. Popular things were popular because a lot of people genuinely enjoyed them. That was the whole point.

Somewhere in the mid-2010s, ironic distance became the dominant mode of cultural engagement. You didn't just like a thing — you liked it "unironically," which implied that liking it ironically was the default position. Prestige TV discourse made it socially necessary to have opinions about why you liked something, not just that you did. The algorithm made taste visible in a way it never had been before, and once taste became visible, it became something to manage.

Now people preface their recommendations with "it's kind of basic but—" or "I know it's not peak cinema but—" The apology has become load-bearing.

Decision Paralysis Is the New Normal

There's a reason the Netflix scroll has become a cultural shorthand for modern exhaustion. The paradox of choice — the idea that more options produce more anxiety, not more satisfaction — was identified by psychologist Barry Schwartz back in 2004, but it's become exponentially more relevant since then.

When you have access to essentially all of recorded music, every movie ever made, and a theoretically infinite feed of short-form video, the decision of what to engage with becomes genuinely paralyzing. Your brain, which is not built to evaluate infinite options, starts shutting down. The result looks like laziness or indecision, but it's actually cognitive overload.

And here's where the algorithm makes it worse: it doesn't reduce the options so much as it pre-selects them based on your history, which means you're not choosing from everything — you're choosing from a curated version of everything that's been engineered to keep you engaged. Engagement and enjoyment are not the same thing. You can be completely absorbed by something and feel vaguely hollow afterward. Most of us know this feeling well.

The Rediscovery Problem

Several people who've done extended social media detoxes report a similar experience: the first week or two is uncomfortable, and then something unexpected happens. Old preferences resurface. They remember they used to love jazz, or hiking, or reading long magazine features. Things they'd stopped doing not because they fell out of love with them, but because the algorithm had simply stopped surfacing them.

This is maybe the strangest part of all this. It's not just that algorithms narrow what's new. They can effectively bury what's old — including things about yourself.

The fix, frustratingly, isn't a new app. It's the old-fashioned practice of seeking things out deliberately instead of waiting to be served them. Go to a bookstore and buy something based on the cover. Ask a friend what they've been listening to. Watch a movie because someone whose judgment you trust said it changed them, not because it has a 94% match score.

Reclaiming the Right to Just Like Things

Here's a genuinely radical idea: you're allowed to like what you like without a justification framework. You don't need to have seen the director's earlier work. You don't need to be able to place an album in its historical context. You don't need to know whether your taste is basic or sophisticated or algorithmically predicted or authentically discovered.

Good taste, in the truest sense, is just an honest relationship with your own reactions. Did this make you feel something? Did you think about it the next day? Would you recommend it to someone you care about?

That's it. That's the whole rubric.

The algorithm doesn't know what you like. It knows what you've clicked on. Those are related, but they're not the same thing. And the distance between them is where your actual taste lives — if you can find your way back to it.