Netflix’s Top Movies Are a Wasteland of Brain Rot—And We’re Addicted to the Collapse
You open Netflix. You scroll for 17 minutes. You settle on a movie you’ve already seen three times. You watch it. You feel empty. You do it again tomorrow.
This isn’t a glitch. It’s a cultural death spiral.
As of this week, Netflix’s “Top 10 Movies in the U.S.” list reads like a hostage note from the algorithm. The number one spot? A 2012 action flick starring Liam Neeson that’s literally called “Taken.” Number two is “The Super Mario Bros. Movie”—a 90-minute commercial for a video game you played in 1985. Number three is a Ryan Reynolds movie where he plays the same character he’s played in every movie since 2016. The rest of the list is a graveyard of Adam Sandler comedies, generic thrillers where the wife is definitely going to die, and that one Netflix original about a talking dog that somehow has a 27% on Rotten Tomatoes.
This isn’t entertainment. This is a moral crisis dressed up in a red logo.
Let’s be honest about what’s happening. We are collectively choosing to watch garbage. And not just any garbage—the same garbage, over and over. The algorithmic preference for “safe” content has turned the world’s largest streaming platform into a digital retirement home where we shuffle through the same five hallways until we forget what sunlight looks like. Netflix isn’t curating culture anymore. It’s managing our decline.
Think about what it means that “Taken”—a movie from 12 years ago about a retired CIA operative who kills 17 people to rescue his daughter from sex traffickers—is the most-watched film in America right now. The film is a comfort blanket for a nation that feels powerless. We watch Liam Neeson deliver that iconic phone monologue—“I will look for you, I will find you, and I will kill you”—and we feel a jolt of catharsis in a world where nothing gets resolved. Our real-life problems—stagnant wages, crumbling infrastructure, political dysfunction—don’t have clear enemies you can choke out with a phone cord. So we watch a movie where the bad guys are cartoonishly evil and the good guy wins in 94 minutes.
But here’s the real rot: We’re not even watching new movies. The top 10 list is dominated by films that are, on average, 8 years old. Of the 10 movies currently in Netflix’s top 10, only two were released in 2024. The rest are from 2023, 2022, 2019, 2014, and 2012. We are so exhausted by the pace of modern life, so overwhelmed by the firehose of content, that we’ve collectively decided to stop trying. We’ve given up on discovery. We’ve surrendered to the algorithm’s suggestion that the best thing to watch is the thing you’ve already watched.
This is the death of curiosity.
There was a time when Americans would go to Blockbuster and rent something they’d never seen. There was a time when you’d watch a movie because a friend recommended it, or because the poster looked cool, or because you wanted to be part of a cultural conversation. Now we watch “The Super Mario Bros. Movie” for the 11th time because it requires zero emotional investment. We don’t have to think. We don’t have to feel. We just have to exist in front of the screen.
The moral implications are staggering. We are training ourselves to reject novelty. We are conditioning our brains to prefer the familiar over the challenging. Every time you click on a movie you’ve already seen, you’re telling the algorithm—and yourself—that you don’t want to grow. You don’t want to be surprised. You don’t want to engage with art that might make you uncomfortable, or sad, or inspired to change your life.
Look at what’s not on the list. There are no foreign films. No documentaries. No independent dramas. No movies made by women or people of color that aren’t already branded by Marvel or Disney. The top 10 is a white-washed, male-dominated, nostalgia-fueled monoculture that pretends the last decade of cinema never happened. It’s as if the streaming revolution, which promised to democratize access to thousands of films, has actually narrowed our vision to a pinhole.
And yes, I know the counter-argument: “It’s just entertainment. Not everything has to be high art. Sometimes you want to turn your brain off.”
I get it. I’ve watched “The Other Guys” 40 times. I can recite the “Gator” monologue from memory. But there’s a difference between occasionally seeking comfort and building your entire media diet around pre-chewed cultural mush. When the most-watched movie in America is a decade-old Liam Neeson thriller, we’re not just turning our brains off. We’re pulling the plug on the entire cultural ecosystem.
Think about what this means for filmmakers. Why would a studio take a risk on a challenging, original script when they know Netflix subscribers will watch “Taken” for the 400th time? Why would an aspiring director spend years crafting a unique vision when the algorithm is programmed to serve up Adam Sandler’s “Hubie Halloween” every October until the heat death of the universe? The top 10 list isn’t just a reflection of our tastes—it’s a demand signal that tells the industry: stop trying. Give us the same thing. We’re too tired for anything new.
This is how a society collapses culturally. Not with a bang, but with a scroll. We don’t suddenly lose the ability to appreciate art. We just slowly, incrementally, choose the path of least resistance until our palate is so numb that we can’t taste anything but sugar.
The terrifying thing is that Netflix knows this. They have the data. They know that people watch the same 20 movies on loop. They know that the cost of licensing a
Final Thoughts
Looking at Netflix’s current top movies, the list feels less like a curated showcase of cinematic ambition and more like a cold, algorithm-driven survival guide for a Friday night. Even the true-crime docs and action blockbusters that dominate the chart often rely on familiar tropes, suggesting that in the streaming era, "popular" doesn’t always mean "memorable." Ultimately, this snapshot reveals a platform that has mastered the art of serving what’s safe and snackable, leaving the truly daring storytelling to swim against the current of the algorithm.