YouTuber tests how fair the money cheat on Twitch is, creates his own algorithm for it

Der YouTuber IT-Mario beschäftigt sich mit dem analytischen Teil von Reactions.

On Twitch and YouTube, it is easiest to earn money with reactions. The streamer watches a YouTube video, reacts to it, and then uploads their reaction to YouTube. Reactions often have higher view counts than the original and thus generate a lot of money, which is why reactions are often referred to as money cheats.
The YouTuber IT-Mario has analytically examined the fairness of such reactions.

How does the YouTuber investigate reactions? The YouTuber IT-Mario analytically dealt with the money cheat – that is, reactions – on Twitch and YouTube. He wanted to find out whose reactions are the fairest. For this, he built his own algorithm that analyzed over 300 reaction videos and created his own formula to calculate a fairness score.

To calculate his fairness score, IT-Mario created 4 metrics:

  • Metric 1: Delay
    • How long does it take for the reaction to be uploaded? Because: The longer the reaction takes, the more time the original video has to generate clicks.
  • Metric 2: Cleaned Speaking Percentage of the Reactor
    • How much does the reactor contribute? Promotions or topics unrelated to the original video were filtered out by AI.
  • Metric 3: Qualitative Assessment
    • What actual added value can the reactor provide to the original video? AI analyzes how much valuable new information the reactor contributes.
  • Metric 4: Originality Factor
    • What is the ratio of original content to reactions? IT-Mario examines how many original videos the reactor produces themselves and how many reactions they upload.
What is the problem with reactions?

The problem with reactions is primarily the discrepancy between the effort. The original creator consistently puts more work into creating their video than the person who produces a reaction to it. Additionally, large channels often earn more money with a reaction than the original creator does with their own video. For example, MontanaBlack once mentioned that he would earn over 100,000 euros monthly with his reaction channels.
Although reactors pass their reach on to the original creator, once the latter reaches a certain size, it increasingly looks like a poor deal.

IT-Mario presented the results of his reaction study in his YouTube video and provided a ranking of who is the fairest and least fair.

Start video
Twitch: MontanaBlack is criticized for his driving behavior

YouTuber ranks others on a fairness scale

What is the ranking? With his own formula, IT-Mario ultimately evaluated the reactors:

  • Fairness score = Speaking Percentage + 0.5 Competence + 0.2 Originality – Time Penalty

1st place is taken by YouTuber Alicia Joe. Her fairness score is 48%. The last place with a fairness score of 11% is occupied by the Twitch streamer LetsHugo. In between, various streamers and YouTubers fit in, such as Trymacs, who is in second-to-last place, and Gronkh, who is ranked in the middle.

We have only broken down a part of the information from the YouTube video here. If you are interested in the entire method and the full ranking from IT-Mario, you can watch the video here on YouTube:

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IT-Mario additionally notes in his however, that a bad score does not necessarily equate to poor reaction content. It merely indicates that the reaction is less fair to the original creator compared to other reactions.

What do you think about reactions? Do you enjoy watching them or do you avoid them to leave your click for the original creators? Let us know in the comments!

YouTube itself has not yet developed a system to fairly share revenues from reactions between the creator and the reactor. The YouTuber Jules – who generates many views through his videos but still incurs losses from reactions – recently demanded his share of the reactions. Only one streamer responded to this: A YouTuber demanded his share of the “money cheat” on Twitch, only one major German streamer responds

This is an AI-powered translation. Some inaccuracies might exist.