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If You Like The Front Bottoms

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

86 connections found

86 connections
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1
131x
157 voters
2
109x
50 voters
3
99x
91 voters
4
87x
83 voters
5
71x
57 voters
7
67x
77 voters
8
60x
65 voters
9
47x
54 voters
10
44x
63 voters
11
36x
57 voters
12
26x
58 voters
13
24x
100 voters
14
20x
51 voters
15
17x
59 voters
16
16x
61 voters
17
15x
55 voters
18
13x
69 voters
19
12x
63 voters
20
11x
76 voters
21
11x
54 voters
22
9.9x
64 voters
23
9.8x
75 voters
24
9.8x
100 voters
25
9.4x
61 voters
26
9.3x
59 voters
27
9.3x
54 voters
28
9.2x
102 voters
29
9.0x
60 voters
30
8.7x
79 voters
31
8.5x
65 voters
32
8.5x
81 voters
33
8.3x
76 voters
34
7.9x
58 voters
35
7.6x
71 voters
36
7.6x
65 voters
37
7.4x
67 voters
38
7.4x
53 voters
39
7.4x
51 voters
40
7.1x
52 voters
41
7.0x
69 voters
42
6.9x
67 voters
43
6.8x
98 voters
44
6.8x
107 voters
45
6.7x
54 voters
46
6.4x
51 voters
47
6.3x
71 voters
48
6.2x
53 voters
49
6.0x
93 voters
50
5.9x
70 voters
52
5.9x
72 voters
53
5.9x
52 voters
54
5.8x
54 voters
55
5.7x
72 voters
56
5.7x
60 voters
57
5.6x
51 voters
59
5.4x
78 voters
60
5.3x
58 voters
61
5.3x
63 voters
62
4.8x
99 voters
63
4.6x
74 voters
64
4.4x
79 voters
65
4.3x
62 voters
66
4.3x
75 voters
67
3.8x
54 voters
68
3.7x
52 voters
69
3.7x
52 voters
70
3.7x
90 voters
71
3.1x
65 voters
72
3.0x
69 voters
73
3.0x
50 voters
74
2.9x
66 voters
75
2.9x
52 voters
76
2.5x
76 voters
77
0.1x
7 voters
79
0.0x
4 voters
80
0.0x
10 voters
81
0.0x
8 voters
82
0.0x
3 voters
83
0.0x
3 voters
84
0.0x
10 voters
85
0.0x
12 voters
86
0.0x
9 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 The Front Bottoms consistently tend to also love certain other things. The "strength" score shows how much more likely fans of The Front Bottoms 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.