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If You Like See(2019)

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

37 connections found

Other versions:2019 2012 Seether 1989 2004 See the Future 2006

37 connections

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1

Raised by Wolves(2020)

77x

68 voters

2

Snowpiercer(2020)

72x

85 voters

3

Foundation(2021)

71x

78 voters

4

39x

83 voters

5

Carnival Row(2019)

39x

61 voters

6

His Dark Materials(2019)

30x

50 voters

7

12 Monkeys(2015)

26x

62 voters

8

The Last of Us(2022)

19x

72 voters

9

Severance(2022)

18x

67 voters

10

Altered Carbon(2018)

18x

104 voters

11

The Expanse(2015)

17x

85 voters

12

The Witcher(2019)

14x

98 voters

13

14x

51 voters

14

The Mandalorian(2019)

14x

76 voters

15

13x

94 voters

16

The Handmaid's Tale(2017)

9.1x

75 voters

17

The Umbrella Academy(2019)

8.8x

71 voters

18

8.2x

94 voters

19

7.8x

52 voters

20

7.7x

66 voters

21

7.2x

53 voters

22

Westworld(2016)

7.1x

115 voters

23

Peaky Blinders(2014)

6.8x

54 voters

24

6.0x

65 voters

25

5.4x

50 voters

26

4.6x

76 voters

27

4.2x

50 voters

28

Prison Break(2005)

4.2x

54 voters

29

Mr. Robot(2015)

4.0x

63 voters

30

Stranger Things(2016)

3.3x

102 voters

31

Black Mirror(2011)

3.1x

67 voters

32

The Walking Dead(2010)

2.8x

63 voters

33

2.7x

62 voters

34

Game of Thrones(2011)

2.2x

119 voters

35

Breaking Bad(2008)

1.8x

81 voters

36

Parenthood(2010)

0.0x

4 voters

37

Keeping Up with the Kardashians(2007)

0.0x

3 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 See consistently tend to also love certain other things. The "strength" score shows how much more likely fans of See 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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