Never Mind the Full Stops is a British television panel game based on the English language, its idiosyncrasies, and its misuse. It is hosted by the British actor, author and Oscar-winning screenwriter, Julian Fellowes. Each episode lasts 30 minutes. The series was filmed in March 2006 at Channel 4's studios in Horseferry Road, Westminster. It was originally broadcast on BBC Four, and aired on BBC Two from 9 October 2006.
Two teams of two people are faced with various questions and challenges concerning English grammar, spelling and usage. The show is divided into rounds, with themes such as identifying the famous author of a badly spoken sentence and correcting the punctuation in a written sentence. There is also a quick-fire round with questions such as "What is a malapropism?" Points are awarded throughout the show to determine the winning team.
Each show starts with the host giving a 'difficult-to-spell' word and an example mnemonic to help remember that spelling, and by the end of the show the panellists have to have devised their own. In episode one Julian Fellowes gave the example arithmetic: A Rat In The House Might Eat The Ice Cream; and Ned Sherrin's version was: As Richard Interred The Head Master Every Tiny Infant Cheered. By the end of series 1, even Julian Fellowes had realized that these so-called mnemonics were invariably harder to remember than the spellings – particularly as they were rarely related to the words in question.
How strongly this title appeals to males 18–34. Based on genre, cast, action/violence levels, pacing, and marketing signals. Higher = stronger appeal.
Young Women
32
How strongly this title appeals to females 18–34. Based on genre, romance centrality, cast composition, lead demographics, and tone. Higher = stronger appeal.
Older Men
68
How strongly this title appeals to males 35+. Based on theme maturity, pacing, complexity, genre, and production style. Higher = stronger appeal.
Older Women
21
How strongly this title appeals to females 35+. Based on drama elements, character complexity, genre, cast, and emotional themes. Higher = stronger appeal.
Advocacy0
Entertainment
Audience Representation
White
88
Measures deviation from the expected White representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Black
40
Measures deviation from the expected Black representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Hispanic
46
Measures deviation from the expected Hispanic representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Asian
40
Measures deviation from the expected Asian representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
South Asian
36
Measures deviation from the expected South Asian representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Middle Eastern
46
Measures deviation from the expected Middle Eastern representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Indigenous
50
Measures deviation from the expected Indigenous representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Mixed
44
Measures deviation from the expected Mixed representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Other
48
Measures deviation from the expected Other representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
LGBTQ+
0
LGBTQ+ representation score based on character centrality, cast percentage, lead representation, and source fidelity. 0 = no representation, 100 = central to the story.