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If You Like Please Like Me(2013)

TV

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

91 connections found

91 connections
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1
Looking(2014)
85x
75 voters
2
Crashing(2016)
46x
58 voters
3
Transparent(2014)
28x
52 voters
4
My Mad Fat Diary(2013)
25x
52 voters
5
Girls(2012)
16x
82 voters
6
Master of None(2015)
14x
66 voters
7
Fleabag(2016)
13x
83 voters
8
Broad City(2014)
13x
63 voters
9
Atypical(2017)
12x
68 voters
10
Sex Education(2019)
11x
88 voters
11
Russian Doll(2019)
10x
55 voters
12
Unbreakable Kimmy Schmidt(2015)
10x
68 voters
13
Sense8(2015)
8.4x
67 voters
14
Skins(2011)
7.7x
60 voters
15
Big Little Lies(2017)
7.1x
50 voters
16
Orphan Black(2013)
6.4x
56 voters
17
The Good Place(2016)
6.3x
101 voters
18
The End of the F***ing World(2017)
6.2x
55 voters
19
The Handmaid's Tale(2017)
6.1x
61 voters
20
Orange Is the New Black(2013)
5.9x
108 voters
21
Shameless(2011)
5.9x
75 voters
22
Freaks and Geeks(1999)
5.3x
50 voters
23
Gilmore Girls(2000)
4.9x
50 voters
24
New Girl(2011)
4.4x
67 voters
25
Brooklyn Nine-Nine(2013)
3.9x
82 voters
26
Modern Family(2009)
3.6x
73 voters
27
Arrested Development(2003)
3.6x
71 voters
28
Black Mirror(2011)
3.6x
95 voters
29
Parks and Recreation(2009)
3.5x
85 voters
30
American Horror Story(2011)
3.3x
52 voters
31
Scrubs(2001)
3.1x
56 voters
32
The Office(2005)
2.8x
80 voters
33
Mr. Robot(2015)
2.7x
50 voters
34
Friends(1994)
2.6x
63 voters
35
Stranger Things(2016)
2.6x
95 voters
36
Rick and Morty(2013)
2.2x
55 voters
37
Sherlock(2010)
2.1x
76 voters
38
How I Met Your Mother(2005)
2.0x
67 voters
39
Melrose Place(1992)
0.1x
5 voters
40
Waterloo Road(2006)
0.1x
4 voters
41
The Bastard Executioner(2015)
0.1x
3 voters
42
Hollywood Heights(2012)
0.1x
4 voters
43
Michael McIntyre's Comedy Roadshow(2009)
0.1x
3 voters
44
The Voice(2011)
0.0x
4 voters
45
The Only Way Is Essex(2010)
0.0x
3 voters
46
Snooki & JWoww(2012)
0.0x
5 voters
47
The Player(2015)
0.0x
4 voters
48
Endgame(2011)
0.0x
3 voters
49
CSI: Cyber(2015)
0.0x
6 voters
50
Narcos: Mexico(2018)
0.0x
4 voters
51
State of Affairs(2014)
0.0x
3 voters
52
Coronation Street(1960)
0.0x
4 voters
53
Last Man Standing(2011)
0.0x
4 voters
54
Dr. Phil(2002)
0.0x
3 voters
55
Toddlers and Tiaras(2009)
0.0x
5 voters
56
Stalker(2014)
0.0x
3 voters
57
Shake It Up(2010)
0.0x
3 voters
58
Laguna Beach: The Real Orange County(2004)
0.0x
5 voters
59
American Idol: The Search for a Superstar(2002)
0.0x
4 voters
60
7th Heaven(1996)
0.0x
8 voters
61
Joey(2004)
0.0x
5 voters
62
Dynasty(2017)
0.0x
7 voters
63
Tiny Toon Adventures(1990)
0.0x
3 voters
64
NCIS: New Orleans(2014)
0.0x
5 voters
65
Tosh.0(2009)
0.0x
8 voters
66
Teen Mom 2(2011)
0.0x
3 voters
67
Ed, Edd n Eddy(1999)
0.0x
4 voters
68
kourtney and kim take new york
0.0x
4 voters
69
Rocket Power(1999)
0.0x
4 voters
70
Batman Beyond(1999)
0.0x
3 voters
71
Mutant X(2001)
0.0x
4 voters
72
Justice League(2001)
0.0x
3 voters
73
The Oprah Winfrey Show(1986)
0.0x
3 voters
74
The Tyra Banks Show(2005)
0.0x
3 voters
75
Britain's Got Talent(2007)
0.0x
4 voters
76
Family Matters(1989)
0.0x
3 voters
77
Twisted(2013)
0.0x
5 voters
78
Sonny with a Chance(2009)
0.0x
3 voters
79
EastEnders(2020)
0.0x
3 voters
80
The King of Queens(1998)
0.0x
7 voters
81
Dracula(2013)
0.0x
3 voters
82
CSI: NY(2004)
0.0x
3 voters
83
Two and a Half Men(2003)
0.0x
18 voters
84
16 and Pregnant(2009)
0.0x
3 voters
85
2 Stupid Dogs(1993)
0.0x
3 voters
86
The Cleveland Show(2009)
0.0x
5 voters
87
Johnny Bravo(1997)
0.0x
5 voters
88
Jersey Shore(2009)
0.0x
4 voters
89
Everybody Loves Raymond(1996)
0.0x
4 voters
90
Teen Titans Go!(2013)
0.0x
3 voters
91
Jackass(2000)
0.0x
6 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 Please Like Me consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Please Like Me 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.

Explore all connections →