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If You Like Live in a Book

Core Values

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

86 connections found

86 connections
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2.4x
5 voters
2
2.3x
6 voters
3
2.1x
6 voters
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2.0x
4 voters
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2.0x
4 voters
8
2.0x
4 voters
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2.0x
4 voters
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1.9x
5 voters
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1.9x
5 voters
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5 voters
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1.9x
5 voters
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1.9x
6 voters
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1.9x
6 voters
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6 voters
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6 voters
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1.9x
6 voters
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1.7x
7 voters
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1.7x
7 voters
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1.7x
6 voters
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1.7x
6 voters
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1.7x
6 voters
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1.7x
5 voters
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1.7x
5 voters
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1.7x
5 voters
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1.7x
5 voters
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1.7x
5 voters
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1.7x
5 voters
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1.7x
5 voters
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1.7x
5 voters
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1.7x
5 voters
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1.7x
4 voters
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1.7x
4 voters
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1.7x
4 voters
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1.7x
4 voters
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1.7x
4 voters
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1.7x
4 voters
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1.7x
4 voters
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1.7x
4 voters
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1.6x
7 voters
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1.6x
6 voters
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6 voters
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6 voters
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6 voters
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6 voters
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6 voters
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6 voters
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5 voters
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5 voters
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5 voters
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5 voters
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5 voters
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5 voters
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5 voters
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5 voters
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5 voters
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1.6x
5 voters
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1.6x
5 voters
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1.5x
4 voters
66
1.5x
4 voters
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1.5x
4 voters
68
1.5x
4 voters
69
1.5x
4 voters
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1.5x
4 voters
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1.5x
4 voters
72
1.5x
4 voters
73
1.5x
4 voters
74
1.5x
4 voters
75
1.5x
4 voters
76
1.5x
4 voters
77
1.5x
4 voters
78
1.5x
4 voters
79
1.5x
4 voters
80
1.5x
4 voters
81
1.5x
7 voters
82
1.5x
7 voters
83
1.5x
7 voters
84
1.5x
7 voters
85
1.5x
7 voters
86
1.5x
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 Live in a Book consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Live in a Book 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.