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If You Like Baskets(2016)

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

81 connections found

Other versions:2016Baskets
81 connections
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4
31x
68 voters
5
31x
57 voters
7
26x
90 voters
9
25x
59 voters
10
24x
65 voters
11
24x
81 voters
12
23x
73 voters
13
22x
60 voters
14
22x
110 voters
15
21x
70 voters
20
15x
64 voters
22
12x
88 voters
23
12x
51 voters
25
11x
74 voters
26
10x
89 voters
28
9.6x
91 voters
29
9.5x
70 voters
30
9.3x
87 voters
32
8.0x
68 voters
33
7.8x
63 voters
35
7.1x
55 voters
36
7.1x
57 voters
37
6.7x
98 voters
38
6.6x
60 voters
39
6.4x
73 voters
40
6.4x
86 voters
42
6.3x
87 voters
43
5.6x
75 voters
44
5.5x
50 voters
47
5.2x
107 voters
48
5.1x
96 voters
49
5.1x
88 voters
50
5.0x
68 voters
52
4.1x
71 voters
53
4.0x
105 voters
54
3.7x
65 voters
55
3.5x
50 voters
56
3.2x
124 voters
57
2.7x
53 voters
58
1.6x
74 voters
59
0.0x
5 voters
62
0.0x
3 voters
64
0.0x
6 voters
66
0.0x
4 voters
69
0.0x
7 voters
72
0.0x
10 voters
73
0.0x
3 voters
76
0.0x
3 voters
77
0.0x
4 voters
78
0.0x
11 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 Baskets consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Baskets 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.