← Fame through time2026
2026
Who the world actually read about in 2026 - readers across every language edition we measure, whoever they were and whenever they lived.
Most read
Who people actually looked up in 2026, across every language edition we measure.
- 1
Jeffrey Epstein21.5M - 2
Hayden Panettiere19.7M - 3
Dolly Parton16.9M - 4
Donald Trump16.8M - 5
Michael Jackson16.1M - 6
Lionel Messi15.7M - 7
Cristiano Ronaldo15M - 8
Ali Khamenei15M - 9
Erling Haalandnot measured13.7M - 10
Lamine Yamalnot measured12.9M - 11
Zendaya11.9M - 12
Kylian Mbappé11.5M - 13
Catherine O'Hara10.3M - 14
Jeff Bezos9.7M - 15
Nicolás Maduro9.1M - 16
Chuck Norris8.7M - 17
Tom Hollandnot measured8.7M - 18
Eric Dane8.6M - 19
Tim Curry8.2M - 20
Alysa Liunot measured7.7M - 21
Bad Bunnynot measured7.6M - 22
James Van Der Beek7.1M - 23
Elon Musk6.9M - 24
Jude Bellinghamnot measured6.8M - 25
Sydney Sweeneynot measured6.8M
Lived then
The most notable people whose working lives fell in 2026, ranked where coverage and readership agree.
- 1
Ariana Grande1 decades - 2
Kylian Mbappé1 decades - 3
Neymar1 decades - 4
Tom Hollandnot measured- - 5
Selena Gomez1 decades - 6
Billie Eilish0 decades - 7
Justin Bieber1 decades - 8
Dua Lipa0 decades - 9
Zendaya0 decades - 10
Miley Cyrus1 decades - 11
Lamine Yamalnot measured- - 12
Erling Haalandnot measured- - 13
Harry Kanenot measured- - 14
Max Verstappen0 decades - 15
Mohamed Salahnot measured- - 16
Zohran Mamdaninot measured- - 17
Timothée Chalamet0 decades - 18
Sydney Sweeneynot measured- - 19
Sabrina Carpenter0 decades - 20
Ousmane Dembélénot measured- - 21
Greta Thunbergnot measured- - 22
Mia Khalifanot measured- - 23
Olivia Rodrigonot measured- - 24
Millie Bobby Brown0 decades - 25
Ed Sheeran1 decades
How to read these rankings
- Attention, not reputation. A place on these lists reflects the attention a person still draws in the public record. It is not a judgement on the life.
- Fame in print. The curves show how often a name appeared in the books of each decade from 1800 to 2019, drawn from the Google Books Ngram corpus.
- Gaps are left as gaps. Where the record is too thin to be fair, we would rather show nothing than guess.