A study by Jigger, a popular anti-bot software, has revealed in a report published by its founder Levan Kvirkvelia that 40% of existing accounts in Web3 games are bots. This study has shown that there are more than 20000 bots in the 60 Web3 games analyzed.
At this point, Xborg founder and CEO Louis Regis commented that there are actually many games that “artificially inflate their player bases with bots and multiple accounts to boost their ratings.”
In Web2, it can be difficult to investigate where bots are coming from because data is diverted through VPNs to mask the identity of these sources and the origin of the bots. This is a problem in most games, but with this study by Jigger, it is possible to take advantage of the transparency of the blockchain to link accounts and create a probability matrix that allows to establish which accounts are bots and to review the different interconnected accounts.
In addition, this study has also listed different Web3 projects by checking their bot percentage. Some projects had more than 80 percent bots, according to this study.
It is interesting to note that Jigger has published a gallery on its website where it is possible to review all these results. Users can also request that a Web3 token be added to this analysis through a form located on the page in order to analyze each project.
On the other hand, Omar Ghanem, CEO of Polkastarter Gaming, was not surprised by the results of these studies, pointing out that the data they have states that two million Wallets have interacted with game dApps, which is actually far from being a real indication of active players, and rather indicates the existence of a very high number of bots. Likewise, he also pointed out how the mechanics established in these games encouraged the use of bots among users to achieve greater profits, highlighting that for this very reason their approach was centered on supporting competitive, high-quality games, without entry barriers and based on skills.
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Of course, this study is publicity for Jigger and for this reason the data may require further analysis to rule out confirmation bias. The technology behind it is still amazing: the ability to analyze, visualize and track blockchain data to obtain a hidden picture of the dApps user base is undoubtedly a great alternative in the fight against manipulation in this type of projects.
