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If You Like M. Ward

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

204 connections found

204 connections
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125x
96 voters
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50 voters
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91 voters
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53 voters
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76 voters
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53 voters
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72 voters
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64 voters
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85 voters
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61 voters
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94 voters
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143 voters
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66 voters
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53 voters
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59 voters
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65 voters
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77 voters
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73 voters
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51 voters
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77 voters
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61 voters
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89 voters
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73 voters
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71 voters
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94 voters
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66 voters
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78 voters
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54 voters
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100 voters
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65 voters
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73 voters
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60 voters
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74 voters
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82 voters
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51 voters
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83 voters
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56 voters
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105 voters
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75 voters
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66 voters
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115 voters
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111 voters
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135 voters
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57 voters
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125 voters
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71 voters
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80 voters
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120 voters
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74 voters
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142 voters
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69 voters
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75 voters
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70 voters
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96 voters
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130 voters
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93 voters
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103 voters
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57 voters
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86 voters
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139 voters
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100 voters
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94 voters
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63 voters
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73 voters
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77 voters
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129 voters
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50 voters
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93 voters
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68 voters
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63 voters
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74 voters
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51 voters
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81 voters
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56 voters
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50 voters
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115 voters
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82 voters
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50 voters
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91 voters
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63 voters
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59 voters
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57 voters
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78 voters
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66 voters
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86 voters
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115 voters
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98 voters
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103 voters
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63 voters
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65 voters
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103 voters
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52 voters
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63 voters
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87 voters
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66 voters
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53 voters
114
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98 voters
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74 voters
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95 voters
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52 voters
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61 voters
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86 voters
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52 voters
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60 voters
122
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66 voters
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57 voters
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69 voters
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56 voters
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65 voters
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83 voters
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63 voters
129
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51 voters
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84 voters
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56 voters
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71 voters
133
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80 voters
134
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86 voters
135
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52 voters
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64 voters
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50 voters
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126 voters
139
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74 voters
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50 voters
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80 voters
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78 voters
143
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122 voters
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64 voters
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90 voters
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73 voters
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76 voters
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54 voters
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70 voters
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53 voters
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61 voters
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56 voters
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5 voters
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6 voters
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4 voters
156
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6 voters
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11 voters
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4 voters
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9 voters
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11 voters
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3 voters
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3 voters
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16 voters
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3 voters
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3 voters
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14 voters
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16 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 M. Ward consistently tend to also love certain other things. The "strength" score shows how much more likely fans of M. Ward 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.