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Negative predictive value

negative predictive value is a statistic.

Books

1 Wuthering Heights 118,587
2 Tales of Dunk and Egg 23,854
3 Project Hail Mary 12,936
4 Lord of the Flies 11,294
5 A Song of Ice and Fire 10,337
6 The Brief Wondrous Life of Oscar Wao 10,100
7 Nobody's Girl (memoir) 7,986
8 Hamlet 7,026
9 Frankenstein 6,782
10 Dungeon Crawler Carl 6,600

Films

1 Wuthering Heights (2026 film) 95,843
2 Marty Supreme 50,577
3 The Housemaid (2025 film) 49,096
4 28 Years Later: The Bone Temple 48,316
5 Dhurandhar 45,834
6 One Battle After Another 33,762
7 Goat (2026 film) 33,528
8 XXX (2002 film) 29,905
9 Psycho Killer (film) 29,842
10 Toy Story 5 27,866

Programming Languages

1 C (programming language) 3,639
2 Python (programming language) 3,490
3 C++ 1,676
4 JavaScript 1,631
5 Rust (programming language) 1,504
6 Go (programming language) 1,434
7 R (programming language) 1,421
8 Scratch (programming language) 1,374
9 Java (programming language) 1,333
10 Assembly language 899

TV Series

1 A Knight of the Seven Kingdoms (TV series) 104,072
2 The Night Agent 73,897
3 Love Story (2026 TV series) 64,192
4 Famous Last Words (TV series) 64,170
5 America's Next Top Model 53,934
6 The Pitt 44,764
7 Heated Rivalry 36,398
8 Euphoria (American TV series) 33,909
9 How to Get to Heaven from Belfast 33,789
10 Grey's Anatomy 32,330

Video Games

1 Ecco the Dolphin (video game) 39,935
2 Wordle 26,024
3 Poppy Playtime 18,118
4 Resident Evil Requiem 15,300
5 Pokémon FireRed and LeafGreen 13,433
6 Roblox 12,144
7 Minecraft 10,844
8 Grand Theft Auto V 9,575
9 Reanimal 9,006
10 Pokémon (video game series) 8,881

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