ZigZag founder: 12000 witch addresses have been marked, and this part of the airdrop share will be returned to ordinary users

According to reports, Kedar, founder of ZK Rollup order book DEX ZigZag, said on social media that 12000 witch addresses have been confirmed. The standard for witches is to have more than 10 accounts with exactly the same L1+zksync activity. Users who only use 3-4 regular addresses have not been marked at present. The marked witch address will not be airdropped. This part of tokens will be returned to ordinary users in the form of “loyal user airdrop”, and an announcement will be issued as soon as possible.

ZigZag founder: 12000 witch addresses have been marked, and this part of the airdrop share will be returned to ordinary users

Interpretation of this information:

The crypto community has been buzzing with news that Kedar, founder of the ZK Rollup order book DEX ZigZag, has claimed that there are 12,000 “witch addresses” on their platform. These addresses are marked as having more than 10 accounts with the same L1+zksync activity. So far, users with only 3-4 regular addresses have not been flagged. The witch addresses will not be receiving an airdrop, and instead, those tokens will be distributed to loyal users through a special “loyal user airdrop”, with details to be announced soon.

It is not entirely clear what Kedar means by “witch addresses”. However, some theories suggest that these addresses may belong to users who have been trying to game the system by creating multiple accounts to take advantage of certain features. By marking these addresses, ZigZag can identify and filter out bad actors, while rewarding loyal users.

The practice of airdropping tokens is often used as a marketing tool to reward users for their participation or to get new users to sign up, but in this case, ZigZag seems to be using it as a way to incentivize good behavior and promote user loyalty. By reserving tokens for loyal users, ZigZag is encouraging users to stay engaged with the platform for the long term.

The announcement also shows that ZigZag is employing a multi-pronged approach to identifying bad actors and promoting good behavior. By analyzing L1+zksync activity, the company is able to identify patterns that suggest users may be trying to take advantage of the system. It remains to be seen whether this approach will be effective in the long run, but it is clear that ZigZag is taking the issue seriously and is committed to ensuring a fair and transparent platform for all users.

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