If You Like I Am Not Okay with This(2020)

Based on real preference data from thousands of voters, here's what fans of I Am Not Okay with This also love. Use these connections to discover your next favorite.

140 connections found

140 connections

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Trinkets(2019)

57x

50 voters

Everything Sucks!(2018)

44x

81 voters

Daybreak(2019)

44x

68 voters

Living with Yourself(2019)

39x

66 voters

Never Have I Ever(2020)

26x

93 voters

Upload(2020)

26x

65 voters

The Society(2019)

25x

69 voters

Unbelievable(2019)

24x

68 voters

Euphoria(2019)

22x

153 voters

Russian Doll(2019)

22x

169 voters

Locke & Key(2020)

21x

83 voters

After Life(2019)

20x

54 voters

Atypical(2017)

20x

160 voters

Sex Education(2019)

20x

222 voters

The End of the F***ing World(2017)

20x

250 voters

Derry Girls(2018)

19x

63 voters

Dead to Me(2019)

19x

107 voters

Good Girls(2018)

18x

91 voters

His Dark Materials(2019)

18x

50 voters

Good Omens(2019)

17x

104 voters

The Umbrella Academy(2019)

17x

234 voters

GLOW(2017)

16x

52 voters

The Queen's Gambit(2020)

16x

114 voters

WandaVision(2021)

16x

63 voters

Love, Death & Robots(2019)

15x

91 voters

What We Do in the Shadows(2019)

15x

65 voters

Santa Clarita Diet(2017)

14x

79 voters

Chilling Adventures of Sabrina(2018)

14x

102 voters

Killing Eve(2018)

14x

90 voters

Fleabag(2016)

13x

117 voters

Dirk Gently's Holistic Detective Agency(2016)

13x

58 voters

Barry(2018)

13x

68 voters

The Haunting of Hill House(2018)

12x

102 voters

A Series of Unfortunate Events(2017)

12x

78 voters

Disenchantment(2018)

12x

53 voters

You(2018)

11x

145 voters

Schitt's Creek(2015)

11x

67 voters

Big Mouth(2017)

11x

54 voters

The Marvelous Mrs. Maisel(2017)

10x

77 voters

The Boys(2019)

10x

134 voters

The Sinner(2017)

9.2x

57 voters

The Witcher(2019)

9.1x

108 voters

The OA(2016)

9.0x

66 voters

13 Reasons Why(2017)

8.6x

108 voters

The Good Place(2016)

8.3x

191 voters

The Mandalorian(2019)

8.3x

79 voters

iZombie(2015)

8.1x

77 voters

Legion(2017)

8.1x

51 voters

The Magicians(2015)

7.9x

63 voters

Dark(2017)

7.8x

87 voters

Sense8(2015)

7.4x

85 voters

Money Heist(2017)

7.2x

54 voters

The Legend of Korra(2012)

6.9x

51 voters

Big Little Lies(2017)

6.9x

70 voters

Mindhunter(2017)

6.8x

106 voters

Freaks and Geeks(1999)

6.5x

89 voters

Jessica Jones(2015)

6.3x

72 voters

Altered Carbon(2018)

6.2x

64 voters

Chernobyl(2019)

6.2x

81 voters

BoJack Horseman(2014)

5.9x

84 voters

Gravity Falls(2012)

5.9x

73 voters

Limitless(2015)

5.8x

50 voters

Veronica Mars(2005)

5.8x

53 voters

The Handmaid's Tale(2017)

5.7x

81 voters

Unbreakable Kimmy Schmidt(2015)

5.5x

53 voters

Shameless(2011)

5.4x

99 voters

Malcolm in the Middle(2000)

5.3x

54 voters

Avatar: The Last Airbender(2005)

5.1x

95 voters

Stranger Things(2016)

5.1x

270 voters

Orphan Black(2013)

5.0x

63 voters

The X-Files(1993)

4.8x

63 voters

Grimm(2011)

4.7x

51 voters

Brooklyn Nine-Nine(2013)

4.6x

139 voters

Black Mirror(2011)

4.5x

171 voters

Ozark(2017)

4.4x

65 voters

That '70s Show(1998)

4.3x

59 voters

Orange Is the New Black(2013)

4.2x

112 voters

Peaky Blinders(2014)

4.1x

56 voters

Daredevil(2015)

4.1x

67 voters

American Horror Story(2011)

4.1x

91 voters

Bob's Burgers(2011)

4.0x

60 voters

Lucifer(2016)

4.0x

66 voters

Gilmore Girls(2000)

3.9x

57 voters

Teen Wolf(2011)

3.9x

59 voters

The 100(2014)

3.8x

75 voters

Rick and Morty(2013)

3.7x

130 voters

The IT Crowd(2006)

3.7x

52 voters

Weeds(2005)

3.7x

51 voters

Hannibal(2013)

3.6x

58 voters

Heroes(2006)

3.6x

58 voters

adventure time with finn & jake

3.4x

54 voters

Westworld(2016)

3.3x

93 voters

Mr. Robot(2015)

3.3x

89 voters

New Girl(2011)

3.3x

72 voters

True Blood(2008)

3.1x

52 voters

Modern Family(2009)

3.1x

90 voters

Fargo(2014)

3.1x

58 voters

Supernatural(2005)

3.0x

85 voters

Criminal Minds(2005)

3.0x

50 voters

100

The Vampire Diaries(2009)

2.8x

65 voters

101

The Flash(2014)

2.8x

51 voters

102

Firefly(2002)

2.7x

57 voters

103

Parks and Recreation(2009)

2.7x

95 voters

104

Futurama(1999)

2.7x

74 voters

105

It's Always Sunny in Philadelphia(2005)

2.6x

58 voters

106

The Office(2005)

2.6x

108 voters

107

Silicon Valley(2014)

2.6x

50 voters

108

Friends(1994)

2.4x

85 voters

109

Scrubs(2001)

2.4x

62 voters

110

Family Guy(1999)

2.4x

60 voters

111

Sherlock(2010)

2.3x

120 voters

112

The Big Bang Theory(2006)

2.3x

66 voters

113

Dexter(2006)

2.3x

91 voters

114

Arrested Development(2003)

2.3x

64 voters

115

Lost(2004)

2.3x

65 voters

116

Better Call Saul(2015)

2.2x

66 voters

117

Doctor Who(2005)

2.2x

62 voters

118

Community(2009)

2.2x

51 voters

119

True Detective(2014)

2.1x

58 voters

120

The Simpsons(1989)

2.1x

74 voters

121

South Park(1997)

1.9x

66 voters

122

Breaking Bad(2008)

1.7x

133 voters

123

How I Met Your Mother(2005)

1.7x

80 voters

124

The Walking Dead(2010)

1.6x

62 voters

125

And Just Like That...(2021)

0.1x

4 voters

126

Dancing with the Stars(2005)

0.0x

5 voters

127

Cake Boss(2009)

0.0x

5 voters

128

Say Yes to the Dress(2007)

0.0x

3 voters

129

My Super Sweet 16(2005)

0.0x

4 voters

130

Britain's Got Talent(2007)

0.0x

4 voters

131

Fanboy & Chum Chum(2009)

0.0x

3 voters

132

Megas XLR(2004)

0.0x

3 voters

133

Law & Order(1990)

0.0x

7 voters

134

Jersey Shore(2009)

0.0x

7 voters

135

2 Stupid Dogs(1993)

0.0x

4 voters

136

MADtv(1995)

0.0x

3 voters

137

The Soup(2004)

0.0x

3 voters

138

CSI: NY(2004)

0.0x

5 voters

139

Entourage(2004)

0.0x

10 voters

140

The Cleveland Show(2009)

0.0x

7 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 I Am Not Okay with This consistently tend to also love certain other things. The "strength" score shows how much more likely fans of I Am Not Okay with This 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 →