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If You Like The Office(2003)

TV

Based on real preference data from thousands of voters, here's what fans of The Office also love. Use these connections to discover your next favorite.

47 connections found

Other versions:2005The Office2003
47 connections
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1
Extras(2005)
58x
84 voters
2
Fawlty Towers(1975)
50x
73 voters
3
After Life(2019)
46x
51 voters
4
Peep Show(2003)
42x
98 voters
5
Monty Python's Flying Circus(1969)
32x
51 voters
6
Black Books(2000)
28x
82 voters
7
Flight of the Conchords(2007)
25x
64 voters
8
The Inbetweeners(2008)
21x
62 voters
9
The IT Crowd(2006)
19x
115 voters
10
Curb Your Enthusiasm(2000)
17x
79 voters
11
Fleabag(2016)
16x
59 voters
12
Louie(2010)
15x
62 voters
13
Malcolm in the Middle(2000)
12x
52 voters
14
Seinfeld(1989)
12x
85 voters
15
Chernobyl(2019)
10x
56 voters
16
Freaks and Geeks(1999)
10.0x
57 voters
17
Fargo(2014)
9.9x
78 voters
18
BoJack Horseman(2014)
9.1x
54 voters
19
The Wire(2002)
8.9x
61 voters
20
It's Always Sunny in Philadelphia(2005)
8.8x
82 voters
21
30 Rock(2006)
8.7x
64 voters
22
Arrested Development(2003)
8.6x
101 voters
23
Mad Men(2008)
8.3x
57 voters
24
Bob's Burgers(2011)
8.2x
51 voters
25
Mindhunter(2017)
7.6x
50 voters
26
Silicon Valley(2014)
7.4x
60 voters
27
Parks and Recreation(2009)
7.2x
104 voters
28
The Office(2005)
6.9x
120 voters
29
Archer(2009)
6.7x
52 voters
30
Futurama(1999)
6.6x
76 voters
31
The Good Place(2016)
6.5x
63 voters
32
Better Call Saul(2015)
6.2x
76 voters
33
Scrubs(2001)
6.0x
66 voters
34
Black Mirror(2011)
5.9x
94 voters
35
True Detective(2014)
5.7x
65 voters
36
Rick and Morty(2013)
5.4x
80 voters
37
The Simpsons(1989)
5.3x
79 voters
38
Family Guy(1999)
5.2x
55 voters
39
South Park(1997)
5.1x
76 voters
40
Brooklyn Nine-Nine(2013)
4.9x
62 voters
41
Modern Family(2009)
4.5x
54 voters
42
Westworld(2016)
4.3x
51 voters
43
Lost(2004)
4.2x
51 voters
44
Sherlock(2010)
3.4x
73 voters
45
Stranger Things(2016)
3.2x
72 voters
46
Breaking Bad(2008)
3.1x
103 voters
47
Game of Thrones(2011)
2.1x
81 voters

How does this work?

These recommendations are based on real voting data, not algorithms. When thousands of people vote on their favorites, patterns emerge — people who love The Office consistently tend to also love certain other things. The "strength" score shows how much more likely fans of The Office are to enjoy each recommendation compared to the average person.

Unlike algorithmic recommendations, these connections come from actual human preferences. A high strength score means the connection is genuine — not just because two items share a category, but because the same people genuinely love both.

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