Stars vs Thumbs Up: Which Rating Wins?
Published October 1, 2026
Two of the biggest platforms in history asked the same question — is it better to rate something 1 to 5 stars, or just give it a thumbs up or down? — and both picked thumbs. Netflix retired its stars in 2017; YouTube made the same call back in 2009. The reasons are genuinely interesting, and they say a lot about which ratings you should trust when you're deciding what to buy.
Why Netflix killed the stars
In April 2017, Netflix replaced its classic 1-to-5-star system with a simple thumbs up / thumbs down. The decision came from real testing, not taste. Netflix said its tests showed the thumbs system collected roughly 200% more ratings than stars did — and more ratings meant better data for its recommendation engine.
According to Netflix's then-VP of Product Todd Yellin, the stars had a design flaw: choosing between three, four, and five stars forced users to think too much, and many just skipped rating. Worse, the stars were confusing — the rating shown next to a title wasn't a crowd average at all, but a personalized prediction of how much you would like it, based on your history. Many users never understood that.
So Netflix did two things: it replaced stars with thumbs, and it added a personalized "match percentage" — a number that tells you how likely you are to enjoy a title. As of 2026, the thumbs system is still in place. The lesson for the rest of us: even a platform sitting on 5 billion star ratings decided stars were the wrong tool for the job.
YouTube saw the problem first
YouTube made the same switch eight years earlier, in 2009. The platform's data showed a J-shaped rating curve: users rated videos they loved, a smaller group rated videos they hated, and almost nobody bothered with 2, 3, or 4 stars. A five-point scale was really a two-point scale in disguise, so YouTube stopped pretending and went binary.
(In a later twist, YouTube hid public dislike counts in 2021, so viewers now see likes without the corresponding dislikes — a reminder that platforms change rating systems to serve their own goals, not yours.)
The aspirational problem: people lie to themselves
Yellin's sharpest observation was about honesty. Users would give documentaries five stars and silly comedies three — then watch the comedies ten times more often. "What you do versus what you say you like are different things," he said. Stars captured the person users wanted to be; thumbs (plus what you actually watched) captured the person they were.
That's worth remembering next time you read reviews. A five-star rating tells you what someone felt comfortable saying publicly. Their rewatch history would tell you the truth. When a platform's goal is recommendations, behavior beats stated opinion every time.
What the research says
The academic work on rating formats is less about stars vs thumbs specifically and more about how the display of ratings warps judgment:
- Numbers amplify bias. Emory University's Justin Bockstedt and colleagues ran lab experiments and found that showing a precise numerical rating strengthens preference bias — people get swayed more by the number. Removing the number or presenting the rating graphically (like stars without a score, or thumbs up/down) reduced that bias noticeably.
- Stars inflate perception. A study in the Journal of Marketing Research found that consumers perceive the same rating as higher when shown in stars versus numerals — a 3.5 in stars looks better than a 3.5 as a number, partly because of "left-digit" anchoring (people read the 3 and mentally round down the numerals, but read the stars more generously). Small presentation choices shift behavior: earlier research found that even a 0.2-point rating jump can increase sales by as much as 300%.
Taken together: the format of a rating changes what it does to you. A star average with decimals looks authoritative; thumbs are crude but harder to game with half-point shaving.
So which should you trust?
It depends on what you need the rating for:
- Comparing options before you buy (Amazon, Yelp, product reviews): stars are more useful. A 4.6 with thousands of reviews carries more information than a thumbs-up count, and the granularity helps you separate the great from the merely good. Just remember the format flatters — see our rating inflation explainer for why everything seems to be 4.8.
- Teaching an algorithm your taste (Netflix, Spotify): thumbs win. Simpler, faster, more honest about what you actually enjoy — and the platform needs volume of data more than it needs nuance.
- Rating with the crowd (this site): five stars strike the balance. Granular enough to express a real opinion, simple enough that people actually use them. That's the bet Rate Anything makes on the wisdom of crowds.
And when you're on the reading side rather than the rating side, the platform's choice of system tells you something about its priorities. A site showing you thumbs is optimizing for its algorithm; a site showing you star averages is asking you to compare. Neither is neutral — so treat every rating as a piece of design, not a measurement of nature.
Summary
Netflix and YouTube both replaced stars with thumbs because binary ratings get used more — 200% more in Netflix's tests — and stated star ratings turned out to be aspirational rather than honest. Research shows that rating format shapes perception: numbers amplify bias, stars inflate perceived scores. Use star averages when comparing options before buying, and trust behavioral signals (rewatches, thumbs plus watch history) when a platform is recommending for you.
The single most important takeaway: ratings are designed to serve whoever designed them — a five-star average is a comparison tool, a thumbs-up is an algorithm input, and neither is a neutral measure of quality.
FAQ
When did Netflix remove star ratings?
Netflix tested thumbs up/down in 2016 and rolled it out globally in April 2017, replacing the 1-to-5-star system. It has kept the thumbs system ever since, alongside a personalized match percentage.
Why did Netflix switch to thumbs?
Its tests showed roughly 200% more ratings activity with thumbs than with stars, stars were confusing users (many thought shown ratings were crowd averages when they were personalized predictions), and behavioral data predicted what people actually wanted to watch better than stated star ratings.
Does a thumbs-up system produce better data?
More of it — and in some ways more honest, since it's closer to a like/dislike instinct than an aspirational judgment. But it loses the granularity of stars: you can't tell "loved it" from "liked it," and you can't average nuance that was never captured.
Should I trust star ratings on shopping sites?
For comparing options, yes — a star average over many reviews is still the best quick signal available, especially combined with written reviews. Just account for inflation (everything trends toward 4.8) and remember the format flatters: stars make the same number look better than numerals do.
Which rating system is best for a review website?
Five stars, if your goal is honest crowd expression: granular enough to carry real opinion, simple enough that people actually rate. Thumbs are better if your goal is feeding a recommendation engine. Choose the system that matches what you're asking users to do.