‘Stranger Things’ and ‘Squid Game’ Prove Netflix’s Data Doesn’t Actually Predict Hits

Credits: Stranger Things on Netflix| Production - 21 Laps Entertainment, Monkey Massacre. Netflix, Upside Down Pictures.
Credits: Stranger Things on Netflix| Production - 21 Laps Entertainment, Monkey Massacre. Netflix, Upside Down Pictures.
Netflix does not merely stream stories; it seems to keep a crystal ball on the bookshelf. Inside, the titles look almost pre-approved for stardom. Squid Game rewrote streaming history with 265.2 million views in its first 91 days, while Stranger Things grew into the platform's most-watched series overall with more than 1.2 billion lifetime views. Those numbers make tailored book adaptations feel less like gambles and more like calculated commissions.
Yet, rather amusingly, it is Netflix's own crown jewels, Stranger Things and Squid Game, that quietly complicate that seemingly foolproof playbook.
How Netflix's own hits beat the algorithm
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If Netflix's algorithm fancied itself Hollywood's greatest fortune teller, Professor Violaine Roussel politely misplaced its crystal ball. Speaking with Matt Belloni, the Data Driven Hollywood author acknowledged that many of the streamer's defining triumphs were not projects born from algorithmic certainty. Squid Game and Adolescence became cultural earthquakes first, data points second, as Matt Belloni pointed.
That admission is especially striking because Netflix has spent years building an empire on microscopic audience insights. Roussel explained that the platform's sprawling library is broken into countless micro-genres and matched with equally granular viewing behaviors. Every click, pause, binge, and rewatch helps classify what already exists, making familiarity easier to recognize than lightning in a bottle.

SQUID GAME: THE CHALLENGE, guards, Red Light, Green Light , (Season 1, ep. 101, aired Nov. 22, 2023). photo: Netflix Courtesy Everett Collection
SQUID GAME: THE CHALLENGE, guards, Red Light, Green Light , (Season 1, ep. 101, aired Nov. 22, 2023). photo: Netflix Courtesy Everett Collection
Instead of manufacturing tomorrow's phenomenon, the system excels at extending yesterday's success. Roussel described it as a feedback loop, where previous winners shape future recommendations and commissions. The question on The Town with Matt Belloni landed because it exposed the delicious irony: Netflix's most celebrated sensations are hardly the examples its own data-first mythology would choose to showcase.
After all, it was Stranger Things and Squid Game that transformed Netflix from a streaming service into an event people began scheduling their calendars around, as they did with Netflix's July releases.
How Stranger Things and Squid Game changed the series game
Stranger Things accomplished what marketing departments spend fortunes attempting. It convinced millions that cancelling weekend plans was an act of cultural participation. Hawkins escaped the screen through Nike trainers, Lego bricks, Coca-Cola collaborations, and Kate Bush's triumphant return to the charts, leaving nostalgia looking suspiciously fashionable again.
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Stranger Things Season 4 (2022) (L to R) Eduardo Franco as Argyle, Noah Schnapp as Will Byers, Finn Wolfhard as Mike Wheeler, and Charlie Heaton as Jonathan in Stranger Things Season 4 (2022) Photo credit: Netflix
Stranger Things Season 4 (2022) (L to R) Eduardo Franco as Argyle, Noah Schnapp as Will Byers, Finn Wolfhard as Mike Wheeler, and Charlie Heaton as Jonathan in Stranger Things Season 4 (2022) Photo credit: Netflix
Then Squid Game arrived with subtitles, playground games, and absolutely no interest in old Hollywood assumptions. A $21 million gamble blossomed into roughly $900 million in value, redirected billions toward Korean storytelling, and persuaded viewers to learn Korean between episodes. If Netflix changed entertainment, these two series cheerfully reminded everyone that audiences remain gloriously impossible to engineer.
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Do you think Netflix hints like Stranger Things and Squid Game prove that Netflix's data does not actually predict hits? Let us know in the comments!
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Edited By: Adiba Nizami
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