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If You Like Gavin DeGraw

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

129 connections found

129 connections
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88x
59 voters
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82x
101 voters
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81x
73 voters
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76x
82 voters
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72 voters
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99 voters
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74 voters
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55 voters
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59x
90 voters
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85 voters
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53 voters
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50 voters
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59 voters
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127 voters
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108 voters
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92 voters
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81 voters
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91 voters
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54 voters
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108 voters
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55 voters
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91 voters
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58 voters
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114 voters
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119 voters
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161 voters
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121 voters
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57 voters
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67 voters
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55 voters
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58 voters
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65 voters
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60 voters
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53 voters
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56 voters
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57 voters
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74 voters
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54 voters
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72 voters
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51 voters
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141 voters
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53 voters
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51 voters
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63 voters
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87 voters
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81 voters
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72 voters
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70 voters
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50 voters
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81 voters
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55 voters
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57 voters
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53 voters
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67 voters
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54 voters
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51 voters
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72 voters
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141 voters
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71 voters
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60 voters
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51 voters
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51 voters
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56 voters
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50 voters
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68 voters
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72 voters
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66 voters
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10x
66 voters
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9.9x
54 voters
73
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77 voters
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63 voters
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65 voters
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53 voters
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72 voters
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9.3x
51 voters
79
9.2x
50 voters
80
9.1x
75 voters
81
8.8x
51 voters
82
8.8x
71 voters
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8.6x
52 voters
84
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107 voters
85
8.3x
62 voters
86
8.1x
62 voters
87
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72 voters
88
7.8x
75 voters
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88 voters
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50 voters
91
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96 voters
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7.3x
72 voters
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87 voters
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90 voters
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121 voters
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99 voters
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51 voters
98
6.6x
78 voters
99
6.3x
74 voters
100
6.2x
76 voters
101
6.0x
96 voters
102
5.8x
57 voters
103
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80 voters
104
5.4x
67 voters
105
5.3x
53 voters
106
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55 voters
107
5.1x
54 voters
108
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81 voters
109
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85 voters
110
4.1x
77 voters
111
3.8x
52 voters
112
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75 voters
113
3.6x
89 voters
114
3.4x
65 voters
115
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56 voters
116
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3 voters
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4 voters
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7 voters
119
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14 voters
120
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3 voters
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4 voters
122
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10 voters
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18 voters
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4 voters
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3 voters
126
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4 voters
127
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4 voters
128
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11 voters
129
0.0x
12 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 Gavin DeGraw consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Gavin DeGraw 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.