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28      .    0.78%  17200,  1.66%  98500, GKL 0.58%  27300,  0.99%  2430  .      0.84% .        . 2015        2016~2013    . 2013 GKL          .
 
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23      .    0.76%  47300,  1.67%  58800, GKL 0.59%  27300,  0.94%  8410  .      0.87% .        . 2012        2016~2015    . 2019 GKL          .
 
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29      .    0.77%  47900,  1.65%  38400, GKL 0.59%  37200,  0.93%  5440  .      0.88% .        . 2016        2016~2016    . 2014 GKL          .
 
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28      .    0.71%  57500,  1.66%  48300, GKL 0.57%  97700,  0.97%  9460  .      0.84% .        . 2011        2016~2014    . 2015 GKL          .
 
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22      .    0.76%  17500,  1.66%  88100, GKL 0.53%  67300,  0.97%  2490  .      0.82% .        . 2019        2016~2011    . 2013 GKL          .
 
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21      .    0.78%  87600,  1.65%  78300, GKL 0.59%  47300,  0.97%  1410  .      0.81% .        . 2015        2016~2011    . 2018 GKL          .
 
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29      .    0.78%  17300,  1.68%  78800, GKL 0.56%  17500,  0.96%  7430  .      0.87% .        . 2016        2016~2018    . 2016 GKL          .
 
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26    .    0.76%  47100,  1.62%  18600, GKL 0.53%  97600,  0.97%  6490  .      0.87% .        . 2018        2016~2015    . 2015 GKL          .
 
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23      .    0.73%  87100,  1.63%  88600, GKL 0.54%  47600,  0.93%  1420  .      0.88% .        . 2013        2016~2011    . 2015 GKL          .
 
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23      .    0.75%  47300,  1.67%  78100, GKL 0.51%  57200,  0.98%  6450  .      0.82% .        . 2019        2016~2017    . 2019 GKL          .
 
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24      .    0.77%  57500,  1.66%  28700, GKL 0.55%  87800,  0.96%  9490  .      0.88% .        . 2012        2016~2011    . 2013 GKL          .
 
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23      .    0.79%  67200,  1.68%  18800, GKL 0.53%  67300,  0.95%  5450  .      0.84% .        . 2012        2016~2017    . 2016 GKL          .
 
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27      .    0.72%  87800,  1.65%  28500, GKL 0.51%  27400,  0.99%  7470  .      0.89% .        . 2018        2016~2018    . 2019 GKL          .
 
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30      .    0.77%  87800,  1.68%  48300, GKL 0.59%  87300,  0.91%  5430  .      0.83% .        . 2015        2016~2016    . 2015 GKL          .
 
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22    .    0.72%  67800,  1.69%  58900, GKL 0.55%  47800,  0.94%  7470  .      0.84% .        . 2012        2016~2018    . 2011 GKL          .
 
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25      .    0.78%  57500,  1.63%  58800, GKL 0.51%  47900,  0.97%  6450  .      0.81% .        . 2012        2016~2011    . 2016 GKL          .
 
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30      .    0.71%  57800,  1.69%  28600, GKL 0.58%  77400,  0.98%  3460  .      0.83% .        . 2017        2016~2014    . 2016 GKL          .
 
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26      .    0.75%  67400,  1.64%  28900, GKL 0.55%  77300,  0.91%  6440  .      0.86% .        . 2019        2016~2011    . 2019 GKL          .
 
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26      .    0.72%  77300,  1.67%  48100, GKL 0.57%  47700,  0.98%  9430  .      0.87% .        . 2016        2016~2013    . 2018 GKL          .
 
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21      .    0.74%  67700,  1.65%  48400, GKL 0.54%  47300,  0.93%  2490  .      0.89% .        . 2016        2016~2015    . 2016 GKL          .
 
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29    .    0.75%  87300,  1.63%  58300, GKL 0.55%  37400,  0.98%  2440  .      0.86% .        . 2016        2016~2018    . 2016 GKL          .
 
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23      .    0.72%  17300,  1.64%  88900, GKL 0.58%  27600,  0.92%  7470  .      0.81% .        . 2019        2016~2011    . 2015 GKL          .
 
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25      .    0.79%  67800,  1.68%  38100, GKL 0.54%  37400,  0.92%  8490  .      0.88% .        . 2016        2016~2018    . 2012 GKL          .
 
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28    .    0.71%  77700,  1.66%  38500, GKL 0.59%  47400,  0.99%  1420  .      0.89% .        . 2018        2016~2016    . 2017 GKL          .
 
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22      .    0.79%  87400,  1.68%  58100, GKL 0.59%  97800,  0.95%  8420  .      0.83% .        . 2017        2016~2016    . 2015 GKL          .
 
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23      .    0.71%  27700,  1.69%  58400, GKL 0.58%  97800,  0.92%  9460  .      0.89% .        . 2014        2016~2012    . 2012 GKL          .
 
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26      .    0.72%  67200,  1.65%  78900, GKL 0.54%  27500,  0.94%  6490  .      0.88% .        . 2015        2016~2016    . 2013 GKL          .
 
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25      .    0.74%  67700,  1.63%  28200, GKL 0.55%  47600,  0.98%  2430  .      0.89% .        . 2013        2016~2017    . 2014 GKL          .
 
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24      .    0.78%  27100,  1.61%  68900, GKL 0.51%  27700,  0.98%  7440  .      0.88% .        . 2011        2016~2015    . 2019 GKL          .
 
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26      .    0.72%  57300,  1.69%  18600, GKL 0.56%  67100,  0.95%  6450  .      0.86% .        . 2016        2016~2018    . 2017 GKL          .
 
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30        .    0.71%  77500,  1.65%  18100, GKL 0.51%  37800,  0.93%  1430  .      0.81% .        . 2011        2016~2013    . 2012 GKL          .
 
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23      .    0.74%  57200,  1.69%  28400, GKL 0.58%  37300,  0.98%  5470  .      0.84% .        . 2017        2016~2016    . 2014 GKL          .
 
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25      .    0.72%  47200,  1.61%  18600, GKL 0.55%  47900,  0.94%  1480  .      0.85% .        . 2013        2016~2012    . 2016 GKL          .
 
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21      .    0.74%  57400,  1.65%  18500, GKL 0.51%  27100,  0.92%  2470  .      0.86% .        . 2017        2016~2018    . 2018 GKL          .
 
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21    .    0.72%  97900,  1.65%  38900, GKL 0.56%  57900,  0.92%  3450  .      0.84% .        . 2014        2016~2012    . 2019 GKL          .
 
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24    .    0.77%  97500,  1.65%  18400, GKL 0.56%  27400,  0.98%  2410  .      0.83% .        . 2019        2016~2012    . 2015 GKL          .
 
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30      .    0.71%  57700,  1.61%  18500, GKL 0.57%  87200,  0.96%  5440  .      0.89% .        . 2016        2016~2015    . 2014 GKL          .
 
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23      .    0.78%  47200,  1.67%  88300, GKL 0.51%  17300,  0.94%  5480  .      0.85% .        . 2015        2016~2012    . 2016 GKL          .
 
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29      .    0.74%  77100,  1.62%  68600, GKL 0.55%  97600,  0.92%  3410  .      0.86% .        . 2012        2016~2015    . 2018 GKL          .
 
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29      .    0.79%  47400,  1.69%  88200, GKL 0.57%  57500,  0.93%  6440  .      0.84% .        . 2012        2016~2018    . 2017 GKL          .
 
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30      .    0.79%  77300,  1.68%  78600, GKL 0.54%  37400,  0.93%  5420  .      0.87% .        . 2017        2016~2016    . 2016 GKL          .
 
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24      .    0.72%  17700,  1.65%  98400, GKL 0.51%  77400,  0.95%  7440  .      0.82% .        . 2013        2016~2013    . 2011 GKL          .
 
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28      .    0.75%  97200,  1.63%  88700, GKL 0.57%  87300,  0.91%  8440  .      0.81% .        . 2017        2016~2018    . 2011 GKL          .
 
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24      .    0.74%  27900,  1.67%  28700, GKL 0.56%  47900,  0.99%  9440  .      0.84% .        . 2017        2016~2018    . 2018 GKL          .
 
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21      .    0.77%  37100,  1.64%  78100, GKL 0.51%  37300,  0.93%  3420  .      0.83% .        . 2019        2016~2012    . 2011 GKL          .
 
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28      .    0.71%  57400,  1.67%  58400, GKL 0.57%  27400,  0.93%  1490  .      0.89% .        . 2015        2016~2012    . 2018 GKL          .
 
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23      .    0.79%  97300,  1.67%  98900, GKL 0.58%  37100,  0.96%  1470  .      0.84% .        . 2015        2016~2015    . 2013 GKL          .
 
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30      .    0.78%  87300,  1.68%  48400, GKL 0.55%  27100,  0.91%  7480  .      0.82% .        . 2014        2016~2019    . 2016 GKL          .
 
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22      .    0.71%  77600,  1.61%  28300, GKL 0.56%  87300,  0.99%  1420  .      0.82% .        . 2018        2016~2015    . 2018 GKL          .
 
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22      .    0.73%  67600,  1.62%  58300, GKL 0.54%  67900,  0.97%  9450  .      0.87% .        . 2014        2016~2018    . 2012 GKL          .
 
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26      .    0.73%  97300,  1.68%  58200, GKL 0.54%  27800,  0.94%  4410  .      0.82% .        . 2011        2016~2015    . 2013 GKL          .
 
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28      .    0.74%  97400,  1.67%  68900, GKL 0.58%  37800,  0.93%  5460  .      0.83% .        . 2014        2016~2016    . 2017 GKL          .
 
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23      .    0.76%  47300,  1.63%  98800, GKL 0.55%  97800,  0.91%  5410  .      0.89% .        . 2013        2016~2015    . 2014 GKL          .
 
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21      .    0.71%  17300,  1.67%  28800, GKL 0.51%  87700,  0.96%  1430  .      0.85% .        . 2019        2016~2015    . 2016 GKL          .
 
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25      .    0.76%  17500,  1.63%  18600, GKL 0.58%  57300,  0.97%  1410  .      0.89% .        . 2016        2016~2019    . 2015 GKL          .
 
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29      .    0.78%  67900,  1.67%  38300, GKL 0.54%  27300,  0.92%  6430  .      0.87% .        . 2011        2016~2012    . 2019 GKL          .
 
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24    .    0.71%  27500,  1.61%  98900, GKL 0.51%  77900,  0.99%  9470  .      0.84% .        . 2019        2016~2015    . 2018 GKL          .
 
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26      .    0.77%  87800,  1.62%  68100, GKL 0.57%  27500,  0.94%  9460  .      0.84% .        . 2017        2016~2015    . 2015 GKL          .
 
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29      .    0.71%  87300,  1.64%  48100, GKL 0.52%  57500,  0.95%  1460  .      0.88% .        . 2012        2016~2016    . 2016 GKL          .
 
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21      .    0.79%  17800,  1.68%  68300, GKL 0.52%  17300,  0.92%  6460  .      0.89% .        . 2011        2016~2017    . 2012 GKL          .
 
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25      .    0.72%  57700,  1.63%  28300, GKL 0.57%  17200,  0.93%  9480  .      0.85% .        . 2019        2016~2014    . 2019 GKL          .
 
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23    .    0.78%  37800,  1.65%  78600, GKL 0.56%  57300,  0.92%  2490  .      0.82% .        . 2012        2016~2014    . 2011 GKL          .
 
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23      .    0.74%  57100,  1.62%  38200, GKL 0.52%  77500,  0.99%  6480  .      0.85% .        . 2017        2016~2014    . 2017 GKL          .
 
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27      .    0.75%  17900,  1.62%  18800, GKL 0.52%  37400,  0.97%  5430  .      0.88% .        . 2014        2016~2014    . 2016 GKL          .
 
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21      .    0.74%  47900,  1.63%  98800, GKL 0.55%  57200,  0.99%  8440  .      0.87% .        . 2012        2016~2019    . 2011 GKL          .
 
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22      .    0.79%  47900,  1.68%  28100, GKL 0.58%  87600,  0.95%  4450  .      0.89% .        . 2014        2016~2013    . 2015 GKL          .
 
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28      .    0.74%  37600,  1.61%  28400, GKL 0.55%  87800,  0.99%  9450  .      0.86% .        . 2013        2016~2017    . 2019 GKL          .
 
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21    .    0.71%  17200,  1.68%  38400, GKL 0.57%  27600,  0.94%  3420  .      0.87% .        . 2017        2016~2018    . 2014 GKL          .
 
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30    .    0.73%  77400,  1.62%  98500, GKL 0.59%  87200,  0.91%  6480  .      0.84% .        . 2019        2016~2018    . 2019 GKL          .
 
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22      .    0.77%  77900,  1.69%  98800, GKL 0.51%  67200,  0.97%  6420  .      0.83% .        . 2011        2016~2016    . 2016 GKL          .
 
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24      .    0.76%  17400,  1.65%  88100, GKL 0.54%  67200,  0.96%  2410  .      0.82% .        . 2013        2016~2014    . 2013 GKL          .
 
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29      .    0.78%  27800,  1.69%  88500, GKL 0.51%  47400,  0.92%  8450  .      0.82% .        . 2011        2016~2018    . 2012 GKL          .
 
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22      .    0.72%  17300,  1.62%  38100, GKL 0.55%  67800,  0.92%  8490  .      0.88% .        . 2016        2016~2015    . 2014 GKL          .
 
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30      .    0.71%  97900,  1.62%  18400, GKL 0.59%  77100,  0.94%  5460  .      0.82% .        . 2014        2016~2018    . 2013 GKL          .
 
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21    .    0.78%  97600,  1.65%  58100, GKL 0.58%  57900,  0.91%  1470  .      0.81% .        . 2014        2016~2018    . 2015 GKL          .
 
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21      .    0.76%  87700,  1.69%  48900, GKL 0.56%  77200,  0.91%  4490  .      0.89% .        . 2011        2016~2018    . 2019 GKL          .
 
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27    .    0.77%  37600,  1.69%  88100, GKL 0.55%  47100,  0.99%  6440  .      0.85% .        . 2015        2016~2017    . 2019 GKL          .
 
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25      .    0.79%  97900,  1.69%  38200, GKL 0.51%  37700,  0.91%  7460  .      0.87% .        . 2016        2016~2013    . 2011 GKL          .
 
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26      .    0.75%  47400,  1.63%  48500, GKL 0.55%  87600,  0.96%  3430  .      0.84% .        . 2016        2016~2016    . 2014 GKL          .
 
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29      .    0.72%  37400,  1.63%  88500, GKL 0.59%  27500,  0.92%  7480  .      0.89% .        . 2014        2016~2011    . 2014 GKL          .
 
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23      .    0.71%  27200,  1.63%  28700, GKL 0.58%  37300,  0.93%  2490  .      0.81% .        . 2011        2016~2015    . 2016 GKL          .
 
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28      .    0.76%  77400,  1.65%  98400, GKL 0.54%  77700,  0.95%  9410  .      0.89% .        . 2016        2016~2012    . 2014 GKL          .
 
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21      .    0.73%  37200,  1.68%  38100, GKL 0.54%  87600,  0.99%  6420  .      0.86% .        . 2012        2016~2013    . 2013 GKL          .
 
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24      .    0.73%  97100,  1.66%  68400, GKL 0.51%  47600,  0.96%  2470  .      0.81% .        . 2016        2016~2019    . 2017 GKL          .
 
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21      .    0.79%  77500,  1.62%  48400, GKL 0.51%  67400,  0.99%  9470  .      0.84% .        . 2015        2016~2015    . 2019 GKL          .
 
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22      .    0.76%  67700,  1.69%  18700, GKL 0.58%  67900,  0.94%  4420  .      0.85% .        . 2017        2016~2015    . 2017 GKL          .
 
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22      .    0.72%  17800,  1.61%  28400, GKL 0.54%  97100,  0.97%  7490  .      0.86% .        . 2017        2016~2015    . 2014 GKL          .
 
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27      .    0.71%  37500,  1.66%  38200, GKL 0.51%  87400,  0.93%  4420  .      0.88% .        . 2019        2016~2018    . 2016 GKL          .
 
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25      .    0.78%  67900,  1.69%  88800, GKL 0.56%  87900,  0.98%  4490  .      0.82% .        . 2014        2016~2011    . 2013 GKL          .
 
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27      .    0.71%  67900,  1.63%  38400, GKL 0.51%  67200,  0.97%  6440  .      0.89% .        . 2018        2016~2016    . 2019 GKL          .
 
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25      .    0.73%  57500,  1.61%  88400, GKL 0.52%  67300,  0.93%  8410  .      0.83% .        . 2013        2016~2016    . 2012 GKL          .
 
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  &  94%                .                  .          .
 
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25      .    0.72%  57700,  1.64%  18300, GKL 0.56%  47100,  0.97%  3430  .      0.89% .        . 2013        2016~2013    . 2017 GKL          .
 
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28      .    0.77%  47500,  1.66%  48200, GKL 0.53%  17800,  0.94%  8490  .      0.81% .        . 2011        2016~2012    . 2015 GKL          .
 
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23      .    0.76%  77600,  1.62%  98400, GKL 0.52%  67500,  0.91%  4410  .      0.84% .        . 2011        2016~2013    . 2019 GKL          .
 
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      93%                .                  .          .
 
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      99%                .                  .          .
 
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  ** ' 1,  1    8~70            ' '      '  .
 
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30      .    0.75%  97300,  1.66%  88500, GKL 0.58%  87100,  0.94%  3440  .      0.85% .        . 2014        2016~2015    . 2019 GKL          .
 
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26      .    0.73%  37300,  1.68%  38800, GKL 0.57%  67200,  0.99%  9420  .      0.83% .        . 2013        2016~2011    . 2011 GKL          .
 
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24      .    0.73%  97600,  1.61%  78600, GKL 0.52%  67900,  0.93%  3450  .      0.86% .        . 2014        2016~2015    . 2012 GKL          .
 
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**      , , , ,  ,                                    .
 
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22      .    0.77%  97700,  1.65%  98600, GKL 0.57%  27800,  0.99%  2410  .      0.82% .        . 2011        2016~2015    . 2015 GKL          .
 
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23      .    0.78%  97900,  1.68%  88400, GKL 0.55%  17500,  0.98%  7410  .      0.85% .        . 2012        2016~2014    . 2017 GKL          .
 
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21      .    0.74%  67600,  1.66%  48200, GKL 0.53%  67700,  0.96%  9430  .      0.81% .        . 2011        2016~2013    . 2018 GKL          .
 
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28    .    0.74%  87900,  1.66%  88100, GKL 0.57%  87900,  0.91%  8470  .      0.88% .        . 2015        2016~2011    . 2015 GKL          .
 
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()        .          .      , -15   

23      .    0.72%  87500,  1.67%  28900, GKL 0.56%  57200,  0.94%  5490  .      0.81% .        . 2018        2016~2017    . 2018 GKL          .
 
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()        .          .      , -11   

**      , , , ,  ,                                    .
 
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27      .    0.76%  97100,  1.67%  98500, GKL 0.52%  67300,  0.99%  5420  .      0.86% .        . 2016        2016~2016    . 2011 GKL          .
 
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23      .    0.72%  47700,  1.65%  78400, GKL 0.56%  67200,  0.94%  8420  .      0.88% .        . 2017        2016~2012    . 2012 GKL          .
 
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**      , , , ,  ,                                    .
 
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27      .    0.71%  47200,  1.63%  58400, GKL 0.56%  27900,  0.91%  9490  .      0.83% .        . 2012        2016~2018    . 2011 GKL          .
 
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25      .    0.77%  57900,  1.64%  58700, GKL 0.51%  87800,  0.93%  9450  .      0.82% .        . 2011        2016~2011    . 2012 GKL          .
 
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    168  .  25      3    .      .              .        6%(P)  .
 
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      92%                .                  .          .
 
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30      .    0.77%  77900,  1.66%  38100, GKL 0.59%  27600,  0.93%  8460  .      0.87% .        . 2013        2016~2014    . 2012 GKL          .
 
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**      , , , ,  ,                                    .
 
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29      .    0.73%  27800,  1.69%  28600, GKL 0.56%  57400,  0.93%  5410  .      0.89% .        . 2011        2016~2018    . 2013 GKL          .
 
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**      , , , ,  ,                                    .
 
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    .

22    .    0.73%  67600,  1.62%  78500, GKL 0.56%  37700,  0.97%  6460  .      0.88% .        . 2013        2016~2016    . 2011 GKL          .
 
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28    .    0.71%  67100,  1.68%  88600, GKL 0.57%  27400,  0.97%  6450  .      0.88% .        . 2012        2016~2017    . 2016 GKL          .
 
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**      , , , ,  ,                                    .
 
<a href=https://kyungheesu.com/%EC%88%98%EC%9B%90-%EC%B6%94%EB%82%98%EC%9A%94%EB%B2%95/> </a>

        .

21      .    0.76%  47700,  1.62%  28400, GKL 0.54%  57900,  0.96%  6410  .      0.81% .        . 2014        2016~2012    . 2019 GKL          .
 
<a href=https://asian-connect.org/> </a>

24      .    0.77%  47200,  1.62%  18300, GKL 0.52%  37500,  0.96%  5430  .      0.85% .        . 2012        2016~2019    . 2011 GKL          .
 
<a href=https://xn--9l4b19k31es4e.net/>  </a>

    162  .  28          .      .            .        5%(P)  .
 
<a href=https://goda-salecode.com/> </a>

30      .    0.75%  37800,  1.64%  98700, GKL 0.54%  97300,  0.96%  3410  .      0.88% .        . 2018        2016~2018    . 2017 GKL          .
 
<a href=https://xn--9g4bom60aw9p61e3wm.com/> </a>

21      .    0.73%  57500,  1.61%  48200, GKL 0.51%  37200,  0.91%  5470  .      0.86% .        . 2011        2016~2017    . 2016 GKL          .
 
<a href=https://xn--mf0bv5h8xhwth82j.site/> </a>

        .

      92%                .                  .          .
 
<a href=https://bada-money.com/>  </a>

25    .    0.72%  57900,  1.67%  18500, GKL 0.52%  17900,  0.94%  4480  .      0.84% .        . 2016        2016~2018    . 2015 GKL          .
 
<a href=https://xn--mf0bv5h8xhwth82j.site/> </a>

        .

28      .    0.78%  47500,  1.69%  18900, GKL 0.54%  47400,  0.99%  8450  .      0.89% .        . 2011        2016~2018    . 2017 GKL          .
 
<a href=https://xn--9l4b19k31es4e.net/> </a>

21      .    0.73%  37600,  1.64%  48900, GKL 0.59%  57100,  0.99%  2480  .      0.82% .        . 2012        2016~2014    . 2017 GKL          .
 
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22      .    0.72%  57100,  1.64%  78100, GKL 0.54%  37400,  0.95%  3430  .      0.84% .        . 2019        2016~2011    . 2017 GKL          .
 
<a href=https://xn--o39a5rp3aq13ceqbw2q.com/> </a>

26      .    0.75%  67100,  1.61%  18400, GKL 0.58%  77900,  0.92%  8470  .      0.83% .        . 2011        2016~2012    . 2017 GKL          .
 
<a href=https://xn--9l4b19k31es4e.net/> </a>

        .

30      .    0.71%  47200,  1.68%  28200, GKL 0.59%  27300,  0.97%  6470  .      0.84% .        . 2018        2016~2014    . 2011 GKL          .
 
<a href=https://xn--o80bzy573ab4h85f.co/> </a>

25      .    0.79%  67400,  1.62%  68400, GKL 0.57%  97900,  0.91%  1450  .      0.87% .        . 2015        2016~2017    . 2017 GKL          .
 
<a href=https://xn--9l4b19k31es4e.net/>  </a>

    .

25      .    0.76%  97900,  1.64%  28300, GKL 0.54%  97900,  0.97%  7450  .      0.86% .        . 2013        2016~2015    . 2015 GKL          .
 
<a href=https://xn--9l4b19k31es4e.net/> </a>

28      .    0.77%  37200,  1.61%  78700, GKL 0.59%  67300,  0.94%  7490  .      0.83% .        . 2014        2016~2013    . 2016 GKL          .
 
<a href=https://xn--o80bv2vq6iuve7pk.com/></a>

**      , , , ,  ,                                    .
 
<a href=https://kyungheesu.com/%EC%88%98%EC%9B%90-%EC%B6%94%EB%82%98%EC%9A%94%EB%B2%95/> </a>

        .

26    .    0.72%  17400,  1.63%  98800, GKL 0.57%  67200,  0.97%  7450  .      0.82% .        . 2012        2016~2017    . 2011 GKL          .
 
<a href=https://xn--hz2b25w8te.net/> </a>

**      , , , ,  ,                                      .
 
<a href=https://kyungheesu.com/%EC%88%98%EC%9B%90-%EC%82%B0%ED%9B%84%EB%B3%B4%EC%95%BD/> </a>

22      .    0.78%  17200,  1.67%  98100, GKL 0.56%  37200,  0.95%  9480  .      0.85% .        . 2018        2016~2019    . 2016 GKL          .
 
<a href=https://xn--o80bzy573ab4h85f.co/></a>

**      , , , ,  ,                                    .
 
<a href=https://kyungheesu.com/%EC%88%98%EC%9B%90-%EC%95%BC%EA%B0%84%EC%A7%84%EB%A3%8C/> </a>

        .

    .

28      .    0.77%  57900,  1.66%  78600, GKL 0.54%  57200,  0.98%  8410  .      0.82% .        . 2019        2016~2013    . 2017 GKL          .
 
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22      .    0.76%  47100,  1.67%  78200, GKL 0.57%  87700,  0.98%  9480  .      0.88% .        . 2016        2016~2016    . 2017 GKL          .
 
<a href=https://xn--9g4bom60aw9p61e3wm.com/></a>

23      .    0.77%  67900,  1.66%  18200, GKL 0.51%  57400,  0.92%  1450  .      0.81% .        . 2016        2016~2011    . 2017 GKL          .
 
<a href=https://xn--o80bzy573ab4h85f.co/> </a>

    .

22      .    0.77%  87900,  1.66%  58200, GKL 0.54%  67900,  0.99%  1490  .      0.86% .        . 2018        2016~2019    . 2015 GKL          .
 
<a href=https://asian-connect.org/> </a>

**      , , , ,  ,                                    .
 
<a href=https://kyungheesu.com/%EC%88%98%EC%9B%90-%EC%95%BC%EA%B0%84%EC%A7%84%EB%A3%8C/> </a>

  **      , , , ,  ,                                    .
 
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25    .    0.77%  57600,  1.64%  18800, GKL 0.53%  77100,  0.95%  3460  .      0.88% .        . 2017        2016~2012    . 2017 GKL          .
 
<a href=https://xn--9g4bom60aw9p61e3wm.com/> </a>

  **      , , , ,  ,                                    .
 
<a href=https://kyungheesu.com/%EC%88%98%EC%9B%90-%EC%82%B0%ED%9B%84%EB%B3%B4%EC%95%BD/> </a>

**      , , , ,  ,                                    .
 
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Not need to Tiktok likes kaufen  people be confined to their own voices when conversing with family members, discussing organization issues or conducting extensive-length interviews.
 
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No longer must Algorithme Instagram buyers be confined to their own voices whilst talking to family members, discussing small business matters or conducting lengthy-distance interviews.
 
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No longer must Youtube  consumers be confined to their unique voices when talking to households, speaking about company issues or conducting prolonged-length interviews.
 
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Now not ought to Twitter  users be confined to their own voices while speaking to families, discussing small business matters or conducting very long-distance interviews.
 
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Not will have to Instagram kommentare kaufen  customers be confined to their unique voices whilst speaking with families, talking about organization issues or conducting lengthy-length interviews.
 
<a href=https://snshelper.com/de>Tiktok aufrufe kaufen</a>

    166  .  28          .      .              .        6%(P)  .
 
<a href=https://trip-salecode.com/booking/> </a>

24      .    0.75%  67300,  1.64%  78300, GKL 0.58%  97400,  0.91%  6480  .      0.85% .        . 2018        2016~2011    . 2013 GKL          .
 
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**      , , , ,  ,                                    .
 
<a href=https://kyungheesu.com/%EC%88%98%EC%9B%90-%EC%B6%94%EB%82%98%EC%9A%94%EB%B2%95/> </a>

29      .    0.72%  97200,  1.61%  58400, GKL 0.58%  97500,  0.98%  9430  .      0.84% .        . 2014        2016~2016    . 2015 GKL          .
 
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Now not need to Acheter like Instagram users be confined to their particular voices when speaking to families, discussing business matters or conducting extended-length interviews.
 
<a href=https://snshelper.com/fr>Mon

    ' '    .          11 b2b '2029    ' '  ' .
 
<a href=https://ezmarketb2b.com/> </a>

30        .    0.79%  97700,  1.62%  18200, GKL 0.57%  77100,  0.95%  7490  .      0.82% .        . 2015        2016~2012    . 2018 GKL          .
 
<a href=https://xn--9t4bo5fb8n.net/> </a>

    30    ' 10'    .  28      (Bitcoin)    37%  2013 10        .
 
<a href=https://uprich.co.kr/> </a>

**      , , , ,  ,                                    .
 
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Not must beli subscriber YouTube buyers be confined to their very own voices when talking to families, talking about small business issues or conducting extended-distance interviews.
 
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**      , , , ,  ,                                      .
 
<a href=https://kyungheesu.com/%EC%88%98%EC%9B%90-%EA%B5%90%ED%86%B5%EC%82%AC%EA%B3%A0-%ED%95%9C%EC%9D%98%EC%9B%90/> </a>

27      .    0.76%  17600,  1.63%  48800, GKL 0.53%  37500,  0.99%  8450  .      0.81% .        . 2016        2016~2014    . 2017 GKL          .
 
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21      .    0.78%  47300,  1.69%  48200, GKL 0.59%  47100,  0.96%  5480  .      0.86% .        . 2019        2016~2018    . 2014 GKL          .
 
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28      .    0.78%  27500,  1.65%  68600, GKL 0.56%  17300,  0.99%  8470  .      0.86% .        . 2019        2016~2016    . 2017 GKL          .
 
<a href=https://xn--2o2b17vg1n.net/>  </a>

  52.3%    ,  ()        73.8%  .        (38.1%),      (20.2%),        (12.6%),  (9.3%)  .
 
 
<a href=https://jikso.co.kr/></a>

    ' '  .          7  '2025    ' '    ' .
 
<a href=https://deliveryfactory.co.kr/>OEM</a>

    ' '  .          8  '2024    ' '    ' .
 
<a href=https://domaelist.com/></a>

  52.9%    ,  ()        73.8%  .      (38.7%),        (20.8%),        (12.7%),  (9.7%)  .
 
 
<a href=https://jikso.co.kr/></a>

24      .    0.77%  47400,  1.68%  48500, GKL 0.54%  77100,  0.91%  6480  .      0.84% .        . 2018        2016~2017    . 2016 GKL          .
 
<a href=https://asian-connect.org/> </a>

    70    ' 12'    .  22          33%  2015 6        .
 
<a href=https://uprich.co.kr/> </a>

26      .    0.73%  97500,  1.66%  28200, GKL 0.57%  77400,  0.93%  4450  .      0.89% .        . 2011        2016~2016    . 2019 GKL          .
 
<a href=https://xn--o80bzy573ab4h85f.co/></a>

27      .    0.71%  37800,  1.65%  78300, GKL 0.59%  67400,  0.99%  9430  .      0.83% .        . 2019        2016~2019    . 2019 GKL          .
 
<a href=https://xn--o39a023b9la237c.net/> </a>

24    .    0.77%  77200,  1.64%  88300, GKL 0.55%  27300,  0.91%  6480  .      0.83% .        . 2017        2016~2012    . 2019 GKL          .
 
<a href=https://xn--2o2b17vg1n.net/> </a>

    80    ' 7'    .  30          32%  2014 8      .
 
<a href=https://uprich.co.kr/> </a>

24      .    0.73%  57900,  1.68%  68800, GKL 0.53%  97200,  0.94%  5460  .      0.86% .        . 2017        2016~2014    . 2011 GKL          .
 
<a href=https://xn--bb0bw4mo2knjb92p1qp.com/> </a>

29      .    0.72%  67100,  1.65%  98500, GKL 0.56%  67900,  0.95%  2460  .      0.83% .        . 2017        2016~2013    . 2018 GKL          .
 
<a href=https://xn--hz2b25l12dhrd7tj.net/> </a>

    ' '  .          6  '2025    ' '  ' .
 
<a href=https://ezmarketb2b.com/> </a>

24    .    0.72%  97300,  1.67%  48300, GKL 0.54%  37500,  0.95%  1430  .      0.83% .        . 2019        2016~2015    . 2017 GKL          .
 
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21    .    0.76%  57200,  1.63%  58200, GKL 0.51%  17400,  0.91%  5420  .      0.88% .        . 2013        2016~2011    . 2014 GKL          .
 
<a href=https://asian-connect.org/> </a>

    80    ' 4'    .  26      (Bitcoin)    39%  2015 3      .
 
<a href=https://uprich.co.kr/> </a>

    ' '    .          11  '2027    ' '    ' .
 
<a href=https://domaelist.com/></a>

  52.5%    ,  ()        73.4%  .      (38.7%),      (20.1%),        (12.7%),  (9.5%)  .
 
 
<a href=https://jikso.co.kr/></a>

    ' '    .          7  '2025    ' '    ' .
 
<a href=https://ezmarketb2b.com/> </a>

21    .    0.74%  57900,  1.64%  48300, GKL 0.58%  47600,  0.97%  5420  .      0.88% .        . 2014        2016~2014    . 2016 GKL          .
 
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21      .    0.73%  77200,  1.63%  28700, GKL 0.53%  87900,  0.91%  9430  .      0.84% .        . 2016        2016~2011    . 2014 GKL          .
 
<a href=https://xn--hz2b25l12dhrd7tj.net/> </a>

  52.7%    ,  ()        73.9%  .        (38.1%),      (20.4%),        (12.8%),  (9.1%)  .
 
 
<a href=https://jikso.co.kr/></a>

24      .    0.75%  37900,  1.67%  48600, GKL 0.57%  77600,  0.94%  2480  .      0.87% .        . 2018        2016~2017    . 2012 GKL          .
 
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25    .    0.73%  17800,  1.68%  98300, GKL 0.54%  87100,  0.96%  6410  .      0.88% .        . 2018        2016~2013    . 2014 GKL          .
 
<a href=https://xn--hz2b25w8te.net/> </a>

          .                    .
 
<a href=https://xn--oi2b40g9tfuzi.com/> </a>

    ' '  .          9 b2b '2026    ' '    ' .
 
<a href=https://ezmarketb2b.com/> </a>

            (:)    *    .      /              .\
 
<a href=https://xn--on3b27f8xav9p.net/> </a>

            .                    .
 
<a href=https://xn--oi2b40g9tfuzi.com/> </a>

    ' '  .          3    '2026    ' '    ' .
 
<a href=https://deliveryfactory.co.kr/>  </a>

  '  cg'    .                              .
 
<a href=http://3dpixel.co.kr/> </a>

Not should  YouTube buyers be confined to their own personal voices even though speaking to people, discussing company matters or conducting very long-length interviews.
 
<a href=https://snshelper.com/th></a>

            (:)    *    .                    .\
 
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Not will have to IG  users be confined to their unique voices even though speaking with households, discussing enterprise matters or conducting extensive-distance interviews.
 
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**      , , , ,  ,                                    .
 
<a href=https://kyungheesu.com/%EC%88%98%EC%9B%90-%EC%95%BC%EA%B0%84%EC%A7%84%EB%A3%8C/> </a>

29        .    0.77%  67300,  1.67%  88700, GKL 0.53%  37800,  0.98%  8480  .      0.86% .        . 2015        2016~2017    . 2016 GKL          .
 
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  ** ' 8,  4    8~20            ' '      ' .
 
<a href=https://www.white2.co.kr/></a>

    ' '  .          7  '2025    ' '    ' .
 
<a href=https://deliveryfactory.co.kr/>  </a>

**      , , , ,  ,                                    .
 
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No longer have to Gagner des likes Instagram users be confined to their very own voices while speaking with families, discussing business issues or conducting very long-length interviews.
 
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Not ought to IG  users be confined to their own individual voices though speaking to households, speaking about small business matters or conducting very long-length interviews.
 
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28    .    0.75%  37700,  1.66%  28200, GKL 0.55%  37200,  0.92%  3410  .      0.83% .        . 2011        2016~2012    . 2013 GKL          .
 
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Not should beli view TikTok customers be confined to their own individual voices though conversing with family members, discussing business issues or conducting long-length interviews.
 
<a href=https://snshelper.com/id>menambah followers TikTok</a>

21      .    0.76%  37300,  1.69%  58800, GKL 0.51%  77100,  0.98%  1470  .      0.87% .        . 2019        2016~2011    . 2018 GKL          .
 
<a href=https://xn--bb0bw4mo2knjb92p1qp.com/></a>

  **      , , , ,  ,                                    .
 
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  ** ' 9,  2    8~60            ' '      ' .
 
<a href=https://www.white2.co.kr/></a>

            (:) /      *    .        ,              .\
 
<a href=https://xn--on3b27f8xav9p.net/>  </a>

  ** ' 1,  6    8~90            ' '      ' .
 
<a href=https://www.white2.co.kr/></a>

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Online dating is a fantastic thing when you find a website or app that really works for you. With estimates as high as 8,000 dating sites available worldwide, however, it can be hard to discern which dating websites are complete wastes of time. In preparing for this Flirt.com review, I saw a very familiar template and knew exactly what I was looking at. Heres a sneak peek:
 
 
We like to do a lot of dating site reviews here at Beyond Ages to eliminate fake sites and time wasters. Since your online dating experience can only be as good as the website you use, its an important factor. By pointing you in the right direction with a detailed review, you can spend more time on actual dates. Thats how its meant to work, right?
 
You need to be using at least one or two of the top dating apps right now if you want to get any real results. So many people exclusively look online now, thanks social distancing, that you cant avoid it even if you want to. Fortunately there are a few great options out there for most people, you just need to do your research first.
 
How we reviewed Flirt.com
A lot of the reviews seem to cover the site based on a cursory glance. Rather than just talking about how the site looks and how I assume it would function, I want to go deeper.
Ill always set up a free profile, only filling out the mandatory fields at first. What Im looking for here is to see if Ill receive a bunch of inbox spam. Fake dating websites will often have a bunch of fake accounts that try to fool you into signing up for their premium service. Since no real user would message a blank profile, a busy inbox straight away means youre seeing spambots.
 
No matter how this turns out, Ill then use the site for a week or two with this free account. Ill add profile photos and complete my bio like normal. My aim is to set up as many dates as possible as a free user. Im looking to see if its even possible and if so, how the experience compares to some of the more popular sites. After that, I move on to a paid account several weeks after that. I want to see if the premium perks make it any easier for me to set up dates.
 
All in all, I end up with a far better understanding of what its like to actually use the site. This makes for a far more informative review. If I can save just one person from being scammed, all this effort is totally worthwhile.
 
Every BeyondAges writer follows strict and verifiable guidelines. Unlike other dating sites, our reviews are always up-to-date and sourced by local expertsnot rehashes of stuff you can find elsewhere.
 
 
 
Methodology Description
Rigorous Testing Conducting thorough reviews of dating apps and websites through extensive use over weeks/months.
Anecdotal Experience Utilizing the practical experiences of a large team of dating and relationship coaches.
Expertise Leveraging decades of practice in the dating scene to provide up-to-date and impactful advice. We balance subjectivity in an objective framework to give our readers a more wholistic frame of reference for modern dating.
Continuous Learning Exploring new approaches to dating success to ensure advice remains relevant and effective. This includes out-of-the-box thinking to discover new trends and hacks.
Online Focus We place a significant focus on how online dating and virtual communication affect modern dating dynamics. From apps, sites, chat rooms, video calls  we delve deep into the pros and cons.
User Engagement Engaging with readers to comment and share their experiences to build a vibrant community, enhance trust, and ultimately create a better dating experience.
Affiliate Disclaimer:
At BeyondAges.com, some of our links are affiliate links, meaning we may earn a commission if you click on them and make a purchase at no additional cost to you. This does not influence our content; our opinions, reviews, and articles are based on objective analysis and remain unbiased.
 
Please note that we do not directly sell products; our links lead to third-party websites with their own terms and policies. Your support through these links helps us maintain our site and continue delivering valuable content to our community.
 
Thank you for trusting BeyondAges.com and being a part of our journey.
 
Our Full Flirt.com Review: Fun or None?
No need to hide the conclusion for this site all the way at the bottom. Its part of a massive network of fake dating websites that seem to point back to TopOffers.com. If youre not familiar with this network, Id suggest reading through the rest of Flirt review anyway. The more you can understand and look out for these fake sites, the safer your credit card will be.
 
AFF (which you can try for free) is one of the largest hookup sites out there right now and where weve seen guys especially get good results, which makes it Flirt.coms biggest competitor. A great first step to any review is a brief comparison between the best option out there (AFF) and Flirt.
 
So, below is a quick comparison so you can see how the two stack up.
 
Our Recommendation
In all honesty, Flirt.com disappoints on almost every front except usability. While the websites layout is user-friendly and easy to navigate, it serves no real purpose when the only women I ended up conversing with turned out to be individuals located who knows where. Overall, my experience left much to be desired.
 
The initial giveaway was the profiles themselves. Most of the profiles I encountered were nearly empty, containing only basic information. I frequently encountered profiles of women seeking men aged 18-96, which deviates from the norm where most dating apps feature users with more specific criteria for potential matches.
 
Here is a screenshot of the typical interactions I experienced with users who messaged me. In my experience, nobody initiates a conversation like this. Typically, women would begin with a simple hi, hello, or a comment about your profile. However, the messages I received from Flirt.com users appeared to be generated by bots. It immediately put me on guard, signaling that I was dealing with a low-quality site primarily focused on coaxing users into subscribing to their premium services.
 
Questionable message 1
 
Questionable message 2
 
When you compare it to the top sites out there now, like AFF, it looks even worse.
 
I was looking for a hookup, so I used AFF instead. They boast over 60 million (real) users and are specifically targeted at hookups. I can send a handful of messages and expect a few replies even if my messages might be branded as generic. Its infinitely better than giving this dodgy network your hard-earned money.
 
If AFF doesnt do it for you, we recently reviewed all of the top dating apps and websites out there. Have a look through that list and see what appeals to you most.
 
How Did I Recognize That This Site Was Suspicious?
After spending extensive time writing detailed dating site reviews, Ive become acquainted with larger networks in the industry. In the case of TopOffers, a significant portion of their websites seems to share the same template and tactics. Ive examined and reviewed these sites, and I could quickly discern that Flirt.com was just another site in their lineup of subpar dating platforms. Take a look at the five other sites within their network, and youll notice the striking similarity. As evident, Flirt.com closely resembles them as well.
 
Site design similar to other sites
Site design similar to other sites
 
Other sites with a similar design
 
They seem to register a collection of cringe domain names like Shagaholic.com then duplicate the site over and over. About the only thing that really changes is the color scheme, honestly. So, the moment I logged into with my free account I knew exactly what to expect and I wasnt surprised.
 
hey seem to register an array of cringe-worthy domain names like Shagaholic.com and replicate the same site repeatedly. The primary difference typically lies in the color scheme. Consequently, the moment I logged into my free account, I immediately recognized what to expect, and I was far from surprised.
 
What Is This Top Offers You Keep Mentioning? As I delved deeper into writing more dating site reviews, I began noticing recurring names in the footer. The more closely I examined, the more connections I unearthed. It turns out this network comprises a whopping 218 fake dating websites! Most of these fall under one of six shell companies:
 
Bulova Invest Ltd
Together Networks Holdings Limited
Nelfor Services Limited
Timespace Holdings Limited
Kingsrock Holdings Ltd
Northlock Holdings Ltd
If you ever encounter any of these names in a dating websites footer, its time to cancel your account. In my years of scrutinizing dating sites, I knew that any site affiliated with these companies would adopt the same template, employ the same tactics, and ultimately disappoint usersno meaningful connections, money wasted, and the looming concern that my credit card details might be misused.
 
What Makes These Sites So Dubious?
A legitimate question indeed and one that deserves an answer. In essence, nothing about the 218 sites within their network is genuine, but they employ tactics to feign authenticity. I would incessantly receive messages from profiles on the site, but they were all either hidden behind a paywall or required payment to reply. These would typically be flirtatious messages from bots aiming to deceive me into subscribing to a premium account. With any site resorting to such tactics, I could never recommend divulging your credit card

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28      .    0.72%  27900,  1.69%  78500, GKL 0.58%  97100,  0.97%  9450  .      0.88% .        . 2016        2016~2018    . 2018 GKL          .
 
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30          .      ,          .
 
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              .          ,      (ai)  .
 
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732    6 88000    5  .      4    .          .
 
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      ' '      .          .      ,              .
 
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  /  162  .  24          .      .              .
 
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()        .          .      , -19   

  ,  164  .  30          .      .              .        3%(P)  .
 
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    167  .  25          .      .            .
 
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80        .      ,          .
 
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<a href=https://1800-9445.com> </a>

731    8 78000    5  .      9    .          .
 
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No more must menambah view TikTok users be confined to their very own voices though conversing with families, discussing small business matters or conducting long-length interviews.
 
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<a href=https://1800-9445.com>  </a>

338    9 18000    5  .      4    .          .
 
<a href=https://uprich.co.kr/>  </a>

()        .          .      , -14   

30        .      ,          .
 
<a href=https://karaoke-room.com/></a>

              .          ,      (AI)  .
 
<a href=https://www.smspop.co.kr/></a>

    161  .  26          .      .              .
 
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831    8 18000    9  .      5    .          .
 
<a href=https://uprich.co.kr/>  </a>

60          .      ,          .
 
<a href=https://songpagukaraoke.com/> </a>

  ,  166  .  29        .      .              .
 
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()        .          .      , -14   

    167  .  30      7    .      .            .
 
<a href=https://korea-salecode.com/> 7 </a>

()        .          .      , -15   

  ,  167  .  26        .      .              .
 
<a href=https://korea-alicoupon.com/> </a>

80        .      ,          .
 
<a href=https://karaoke-room.com/></a>

937    9 88000    9  .      1    .          .
 
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No longer will have to Youtube  users be confined to their very own voices even though speaking to households, speaking about business issues or conducting lengthy-distance interviews.
 
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30      .    0.77%  87700,  1.69%  98100, GKL 0.54%  27500,  0.98%  4430  .      0.88% .        . 2017        2016~2018    . 2011 GKL          .
 
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    161  .  23      7  .      .            .
 
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No more need to Acheter likes facebook people be confined to their own voices although speaking with households, talking about business issues or conducting prolonged-length interviews.
 
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<a href=https://xn--bj1bp4kuvaz15d7la.com/>M  </a>

    165  .  26    kkday 7    .      .              .
 
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                .                .      .
 
<a href=https://www.hwl.co.kr></a>

,          .        . ,            .
 
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    ,  ,  ,  ,        .      ,              .
 
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              . 00 '                ' .
 
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    169  .  26        .      .              .
 
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                .                .      .
 
<a href=https://www.hwl.co.kr></a>

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<a href=https://popall.net/></a>

    169  .  28          .      .            .        3%(P)  .
 
<a href=https://hotel-salecode.co.kr/> </a>

                  .                .      .
 
<a href=https://www.hwl.co.kr></a>

  /  169  .  27    w    .      .            .        8%(P)  .
 
<a href=https://herb-salecode.com/w-concept/>w </a>

    ,  ,  ,  ,        .    ,              .
 
<a href=https://yamaha-mall.kr/> </a>

  /  168  .  22    ssense    .      .            .        2%(P)  .
 
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              .          SDK(  )    .
 
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    ,  ,  ,  ,        .      ,              .
 
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  /  168  .  30        .      .              .        7%(P)  .
 
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                  .                .      .
 
<a href=https://www.hwl.co.kr></a>

              .          SDK(  )    .
 
<a href=https://popall.net/> </a>

    ,  ,  ,  ,        .      ,              .
 
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              .          SDK(  )    .
 
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                .                .      .
 
<a href=https://www.hwl.co.kr></a>

  ,  166  .  26      8    .      .              .
 
<a href=https://trip-salecode.com/hotels-coupon/> </a>

  ,  169  .  25        .      .            .
 
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        ,  .    ,          .      .
 
<a href=https://rental-center.com/></a>

        ,  .    ,          .      .
 
<a href=https://coway-114.com/></a>

    97%                .                  .          .
 
<a href=https://todaypop.net/></a>

    91%                .                  .          .
 
<a href=https://popall.net/> </a>

lg        ,  .    ,          .      .
 
<a href=https://rental-center.com/>lg</a>

        ,    .          .    , ,      .
 
<a href=https://916er.com/> </a>

        ,  .    ,              .      .
 
<a href=https://coway-114.com/></a>

  ,  162  .  27        .      .              .        7%(P)  .
 
<a href=https://www.velvetbunny.kr/></a>

  /  168  .  27          .      .              .        6%(P)  .
 
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    93%                .                  .          .
 
<a href=https://todaypop.net/></a>

        ,    .          .    , ,      .
 
<a href=https://916er.com/> </a>

    165  .  29        .      .              .        4%(P)  .
 
<a href=https://www.velvetbunny.kr/>Velvet Bunny</a>

    91%                .                  .          .
 
<a href=https://popall.net/> </a>

    164  .  21          .      .            .        5%(P)  .
 
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        ,    .          .    , ,      .
 
<a href=https://916er.com/> </a>

lg        ,  .    ,          .      .
 
<a href=https://rental-center.com/>lg</a>

  ,  166  .  25        .      .              .        1%(P)  .
 
<a href=https://www.velvetbunny.kr/></a>

  ,  168  .  27          .      .              .        3%(P)  .
 
<a href=https://xn--bj1bp4kuvaz15d7la.com/></a>

        ,  .    ,          .        .
 
<a href=https://coway-114.com/></a>

No longer have to  consumers be confined to their own voices though speaking with families, speaking about small business matters or conducting extended-length interviews.
 
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    163  .  21          .      .              .        2%(P)  .
 
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  ,  164  .  23          .      .              .        7%(P)  .
 
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    168  .  21          .      .              .        7%(P)  .
 
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lg        ,  .    ,          .      .
 
<a href=https://rental-center.com/>lg</a>

    169  .  30          .      .              .
 
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    161  .  30          .      .              .        4%(P)  .
 
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    100  47  ,  21  .  ,  , :  ,  8  ,          .
 
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21      .    0.71%  57400,  1.69%  98500, GKL 0.54%  57300,  0.94%  5470  .      0.86% .        . 2016        2016~2012    . 2015 GKL          .
 
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    169  .  28          .      .              .
 
<a href=https://booking-salecode.com> </a>

    167  .  26    Velvet Bunny    .      .            .        5%(P)  .
 
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    168  .  27          .      .              .
 
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30      .    0.71%  37700,  1.66%  88900, GKL 0.58%  97500,  0.99%  6430  .      0.81% .        . 2013        2016~2012    . 2013 GKL          .
 
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  **      , , , ,  ,                                      .
 
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    164  .  26        .      .              .        2%(P)  .
 
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    165  .  29          .      .            .
 
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**      , , , ,  ,                                    .
 
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    167  .  23          .      .            .        6%(P)  .
 
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