Recorded answers
1,542 recorded answers
How to approach it
Work backwards from the number rather than forwards from global fame. Ten million is a threshold that rewards regional giants, so picture the entertainment industries with the largest domestic audiences and then sweep through the professions that generate constant visual content: actors, singers, presenters, preachers, athletes, cooks, comics and lifestyle personalities. Run that sweep country by country, or language community by language community, and keep a written running list instead of stopping at the first famous face that comes to mind. Check each candidate against a rough sense of their following before committing a guess, because a plausible name that actually sits just under the line wastes a slot. Favour mid-tier and regional figures over obvious worldwide superstars, since the latter are what everyone else will name and therefore score poorly.
Get a hint
Start from the biggest celebrity ecosystems you can name: film industries, music scenes, sports leagues, comedy circuits and devotional movements each produce their own crowd of verified mega-accounts with audiences in the tens of millions.
A little more
Then narrow by geography. Several countries have populations and phone habits that make ten million followers a routine milestone for local actors, singers, presenters, preachers and athletes who are barely known outside the region.
One step further
Finally drop to the second tier: not the global household names but the regional stars, family channels, pastry chefs, fighters and motivational speakers whose following is enormous at home and modest abroad.
Reveal answers 1,542
- Suzan Najm AldeenDeep Cut85points
- SuzyDeep Cut85points
- Svetlana LobodaDeep Cut85points
- Syahnaz SadiqahDeep Cut85points
- SyahriniDeep Cut85points
- Syifa HadjuDeep Cut85points
- T.O.PDeep Cut85points
- Taapsee PannuDeep Cut85points
- TaeyangDeep Cut85points
- TaeyeonDeep Cut85points
- TaeyongDeep Cut85points
- Taha ÖzerDeep Cut85points
- Tainá CostaDeep Cut85points
- Taís AraujoDeep Cut85points
- Tamannaah BhatiaDeep Cut85points
- Tamer HosnyDeep Cut85points
- Tammy HembrowDeep Cut85points
- Taraji P. HensonDeep Cut85points
- Tareq Al-HarbiDeep Cut85points
- Tata EstanieckiDeep Cut85points
- Tatá WerneckDeep Cut85points
- Taylor HillDeep Cut85points
- TeknoDeep Cut85points
- Ten (NCT)Deep Cut85points
- Tessa BrooksDeep Cut85points
- Teyana TaylorDeep Cut85points
- Thalapathy VijayDeep Cut85points
- ThalíaDeep Cut85points
- The Great KhaliDeep Cut85points
- The Real TarzannDeep Cut85points
- Thiago AlcântaraDeep Cut85points
- Thiago NigroDeep Cut85points
- ThiaguinhoDeep Cut85points
- Tibo InShapeDeep Cut85points
- Tiffany YoungDeep Cut85points
- Tiger ShroffDeep Cut85points
- TimatiDeep Cut85points
- TiniDeep Cut85points
- TirullipaDeep Cut85points
- Titi KamalDeep Cut85points
- Tiwa SavageDeep Cut85points
- ToguroDeep Cut85points
- TohiDeep Cut85points
- Toya JohnsonDeep Cut85points
- Triggered InsaanDeep Cut85points
- Trisha KrishnanDeep Cut85points
- Troian BellisarioDeep Cut85points
- Turki AlalshikhDeep Cut85points
- Tyrese GibsonDeep Cut85points
- TzuyuDeep Cut85points
Why these answers count
Scoring rewarded breadth of recall over headline fame. The single hundred-point answer, Betül Tunç, was a niche pick that almost nobody else offered, so it stood alone at the top of the table. The vast majority of strong entries landed at eighty-five points and cluster in exactly the pattern the question invites: regional and mid-tier celebrities spread across a very wide range of countries. Aaryan Kelvin, Abhishek Malhan, Abir El Saghir and AboFlah all sit in that band, recognisable inside their own media ecosystems and far from universal elsewhere. Sixty points went to answers that were correct but comparatively common, where many players converged on the same names. None of this suggests obscurity was rewarded for its own sake; the pattern is simply that the more obvious a candidate is, the more people name them, and the scoring favours the pick only a handful of players could produce. Breadth across many countries beat depth in one.