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About 97% of the crypto tasks launched on Uniswap are rug pulls, in accordance with a latest research titled “Do Not Rug On Me: Zero-Dimensional Rip-off Detection .”
The research undertaken by Bruno Mazorra, Victor Adan, and Vanesa Daza means that the simplicity of Uniswap and its lack of regulation makes it straightforward for scammers to checklist non-valuable tokens on the platform.
“If a token loses all its liquidity or its value drops to zero and these ranges are by no means recovered, then the likelihood that the falls are as a consequence of malicious intent will increase,” the report said.
It was revealed within the evaluation that totally different strategies are used to trick new buyers into shopping for malicious tokens. Researchers categorized malicious and non-malicious tokens manually to search out the malicious tokens traded in UniswapV2, as proven under:
![Uniswap ploys classification](https://cryptoslate.com/wp-content/uploads/2022/10/Screenshot-2022-10-31-235132.png)
“Whereas this classification will present a transparent overview of the tokens in Uniswap, it is determined by non-observable variables, similar to intentionality and earnings,” the report reads.
The research examined 27,588 tokens, of which 631 had been deemed non-malicious, and 26,957 had been deemed malicious. A complete of 24,870 of the malicious are quick rug pulls, whereas 2,087 aren’t LP Burns.
The researchers discover this dataset sufficient to label all of 26,957 tokens malicious, which means 97.7% of the tokens beneath research are malicious.
The analysis that was not too long ago shared by crypto influencer drnick on Twitter acquired huge criticism, as many questioned the rationale behind the research. Some Twitter customers claimed that the research lacks a considerable floor to make such a submission.
Sorry, however that’s a hell of a flawed methodology for that declare. They actually took ALL tokens since 5/20 – 27k in whole & didn’t trouble to filter them by liquidity/quantity…something.
That’s like saying 97% of Twitter accounts are faux, however none had been energetic over the last 12 months— Maya Zehavi (@mayazi) October 31, 2022
This isn’t remotely regarding or shocking
I guess 97% of dm’s from “males” to girls on-line are third world scammers.
I guess 97% of faculty essays comprise some plagiarism.
What is simpler, copy-pasting code from doge-inu and rugging or launching a token with chainlink degree utility— AnonCryptoGuy (@AnonCryptoGuy1) October 31, 2022