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Which of the Big (4)° have made use of sajaegi the most?


Zaheer

Which of the Big (4) have made use of sajaegi the most?  

11 members have voted

  1. 1. Which?

    • SM
      5
    • JYP
      0
    • YG
      4
    • Hybe/Bighit
      2


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Personally I'm leaning more towards JYP even tho I want to say SM. If any of them had the least to lose by using chart manipulations, it'd be JYP 100 %. SM would be right behind and Hybe a vert close 3rd imho

What do you all Onehallyu-ers think? 

Share your opinions and let's discuss in a civil manner 

 

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°Big (4) - unofficial fan made term

 

 

Edited by Zaheer
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  • Zaheer changed the title to Which of the Big (4)° have made use of sajaegi the most?

Thinking SM would ever spend this much energy lmao

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On 1/17/2022 at 11:22 PM, Nero_Kpop said:

there is no sajaegi the ratio of insta, vlive followers, youtube likes and album sales between groups have always been coherent

How does it prove that it doesn't exist, in what way?

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On 1/17/2022 at 11:42 PM, StanSatan said:

Weren't there rumours about digital sajaegi hinting towards yg? Anw I'd trust yg to do the most thug-y stuff

Unfortunately, YG has always had strong digitals which arose to that rumor with no solid proof.

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On 1/18/2022 at 12:43 AM, Shinki said:

Thinking SM would ever spend this much energy lmao

Over 65% of the people disagree 

On 1/18/2022 at 12:58 AM, pinkpanda_spirit said:

Idk but I will always blame bighit

kiss-kiss kiss GIF by Maybelline

Sounds like a plan

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1 hour ago, Zaheer said:

Unfortunately, YG has always had strong digitals which arose to that rumor with no solid proof.

Always having strong digitals doesn't rule out sajaegi. Yg has lots of corruption money and evil connections to boost their charting at times when it begins to decline.  

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9 hours ago, Zaheer said:

How does it prove that it doesn't exist, in what way?

You can't really prove anything but if you consider the kpop community as a set, you should consider that their subset (the fandom of each group) have similar behaviors then it's about determining the size of each subset and comparing the data of their behaviors to determine if there are abnormalities.

The biggest anomaly i observed was the sales of izone but i think it can be explained by the reach of new fans (jpop) and their attachment to their idol due to the nature of the program (intense voting and involvment)

Edited by Nero_Kpop
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