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If You Like Never Have I Ever(2020)

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Based on real preference data from thousands of voters, here's what fans of Never Have I Ever also love. Use these connections to discover your next favorite.

121 connections found

Other versions:2020Never Have I Ever
121 connections
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75x
71 voters
4
52x
229 voters
5
49x
74 voters
7
43x
52 voters
8
43x
130 voters
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35x
82 voters
10
29x
58 voters
13
26x
70 voters
14
25x
79 voters
15
24x
62 voters
17
22x
112 voters
18
19x
209 voters
21
16x
111 voters
22
15x
51 voters
23
15x
66 voters
24
14x
53 voters
25
14x
133 voters
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14x
109 voters
27
13x
72 voters
29
12x
74 voters
30
12x
130 voters
32
11x
166 voters
33
10x
65 voters
34
10x
55 voters
35
10.0x
76 voters
36
9.9x
55 voters
38
9.4x
76 voters
40
9.3x
76 voters
43
9.0x
156 voters
45
7.7x
155 voters
46
7.2x
88 voters
47
7.0x
74 voters
48
6.9x
69 voters
49
6.9x
66 voters
50
6.8x
78 voters
54
6.4x
65 voters
55
6.3x
51 voters
56
6.3x
59 voters
58
6.0x
52 voters
60
5.8x
52 voters
61
5.6x
51 voters
62
5.6x
131 voters
63
5.5x
54 voters
64
5.5x
94 voters
65
5.4x
170 voters
66
5.4x
70 voters
68
5.1x
71 voters
69
5.1x
58 voters
70
4.9x
147 voters
71
4.9x
61 voters
72
4.9x
91 voters
73
4.8x
51 voters
75
4.6x
115 voters
76
4.0x
159 voters
77
3.9x
160 voters
78
3.8x
67 voters
79
3.7x
106 voters
80
3.5x
63 voters
84
3.2x
56 voters
85
3.2x
72 voters
86
3.1x
65 voters
87
2.9x
50 voters
89
2.6x
56 voters
91
2.5x
80 voters
92
2.4x
51 voters
93
2.3x
54 voters
95
2.2x
126 voters
96
2.2x
70 voters
97
2.1x
156 voters
98
2.1x
101 voters
99
2.1x
56 voters
101
2.0x
71 voters
106
0.0x
3 voters
107
0.0x
17 voters
111
0.0x
5 voters
114
0.0x
4 voters
116
0.0x
4 voters
117
0.0x
3 voters
118
0.0x
3 voters
121
0.0x
4 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 Never Have I Ever consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Never Have I Ever 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.