BlockDag的Beta测试网模拟现实世界的Tokenomics，揭示了市场动态

Ethereum Classic一直忠于不变性，吸引用户重视代码完整性而不是共识转移的用户。另一方面，狗狗币蓬勃发展

Ethereum Classic has stayed true to its principles, drawing users who value code integrity over consensus shifts. Dogecoin, on the other hand, showcases how cultural momentum can drive a token’s staying power. But beyond ideology or memes, BlockDAG’s Beta Testnet is simulating real-world tokenomics with measurable precision.

Ethereum Classic一直忠于其原理，吸引了将代码完整性评估而不是共识转移的用户。另一方面，Dogecoin展示了文化动力如何驱动令牌的持久力量。但是，除了意识形态或模因之外，BlockDag的Beta TestNet还以可测量的精度模拟了现实世界中的Tokenomics。

> Ethereum Classic: Upholding the Original Ethereum Vision

>以太坊经典：维护原始的以太坊愿景

Emerging in 2016 following a contentious hard fork in the Ethereum network, Ethereum Classic (ETC) is a cryptocurrency that aims to preserve the original blockchain’s core values—immutability and "code is law." Operating on a Proof-of-Work (PoW) consensus mechanism, it enables decentralized applications (dApps) and smart contracts to function without external interference.

在以太坊网络中有争议的硬叉之后，Ethereum Classic（ETC）是一种加密货币，旨在保留原始区块链的核心价值 - 免疫性和“代码是法律”。在工作证明（POW）共识机制上操作，它可以使分散的应用程序（DAPP）和智能合约在不外部干扰的情况下运行。

This approach appeals to those who prioritize blockchain integrity and resistance to censorship, forming a dedicated community that has supported Ethereum Classic despite challenges such as reduced market prominence and competition from other platforms. Over the past year, Ethereum Classic has experienced modest growth. As of February 4, 2025, ETC is trading at approximately $16.79, reflecting a 14.04% annual increase.

这种方法吸引了那些优先考虑区块链完整性和对审查制度的抵制的人，构成了一个敬业的社区，尽管挑战降低了市场的突出性和其他平台的竞争，但仍支持以太坊经典。在过去的一年中，以太坊经典经历了适度的增长。截至2025年2月4日，ETC的交易价格约为16.79美元，反映了年增长率为14.04％。

> Dogecoin: From Meme to Market Player

> Dogecoin：从模因到市场参与者

Dogecoin (DOGE) was introduced in 2013 as a lighthearted cryptocurrency featuring the popular "Doge" meme as its mascot. Despite its origins as a joke, Dogecoin operates on a decentralized network using a Proof-of-Work (PoW) consensus mechanism similar to Litecoin, facilitating fast and low-cost transactions.

Dogecoin（Doge）是在2013年推出的，是一种轻松的加密货币，以流行的“ Doge”模因为吉祥物。尽管它起源于笑话，但Dogecoin还是使用类似于Litecoin的工作证明（POW）共识机制在分散的网络上运行，从而促进了快速和低成本的交易。

Its community-driven approach has fostered widespread adoption for tipping, charitable donations, and microtransactions. In the past year, Dogecoin has exhibited significant volatility. As of February 4, 2025, DOGE is priced at approximately $0.171657. This shift represents a notable fluctuation compared to its price in early 2024, which was around $0.10.

它以社区为导向的方法促进了对小费，慈善捐款和微交易的广泛采用。在过去的一年中，Dogecoin表现出明显的波动性。截至2025年2月4日，Doge的价格约为0.171657美元。与2024年初的价格相比，这种转变代表了显着的波动，约为0.10美元。

Factors such as market trends and endorsements from high-profile individuals have influenced Dogecoin’s price movements, highlighting its susceptibility to external factors despite its technological underpinnings. Ultimately, Dogecoin’s enduring presence and periodic surges underscore its unique position in the cryptocurrency market, offering both opportunities and risks for investors.

诸如备受瞩目的人的市场趋势和认可等因素影响了Dogecoin的价格变动，尽管具有技术基础，但仍强调了其对外部因素的敏感性。最终，Dogecoin的持久存在和定期激增强调了其在加密货币市场中的独特地位，为投资者提供了机会和风险。

However, BlockDAG’s Beta Testnet, “Primordial,” is not just validating network performance—it’s stress-testing the entire economic model behind BDAG. Specifically, from vesting mechanics to incentive distributions, the beta phase replicates real token flows, enabling developers and the team to observe how BDAG might behave in a live environment.

但是，BlockDag的Beta测试网络“ Primordial”不仅在验证网络性能，而且还对BDAG背后的整个经济模型进行了压力。具体而言，从归属机制到激励分布，Beta阶段复制了真实的令牌流，使开发人员和团队能够观察BDAG在实时环境中的行为。

To that end, over 110,000 investors are being loaded into a smart contract-managed vesting schedule, where 10,000 test tokens are distributed per wallet in four timed phases. This mirrors the actual vesting process planned for the mainnet, giving BlockDAG valuable insight into user behavior, claim patterns, and wallet activity.

为此，将超过110,000名投资者加载到智能合同管理的归属计划中，在该计划中，每个钱包每个钱包分配了10,000个测试令牌，分为四个定时阶段。这反映了主网计划的实际归属过程，从而使BlockDag对用户行为，索赔模式和钱包活动有价值。

Furthermore, the testnet introduces competitive rewards with tangible value. The top 10 most active wallets, miners, and largest holders will each receive $2,000 worth of BDAG at launch pricing, offering real incentives for real activity.

此外，TestNet引入了具有切实价值的竞争奖励。最活跃的十大钱包，矿工和最大的持有人将在发布定价时分别获得价值2,000美元的BDAG，从而为实际活动提供真正的激励措施。

Through this model, BlockDAG is actively testing economic game theory in a live setting, exposing any potential vulnerabilities before scaling. Meanwhile, momentum continues to grow. With over 19 billion coins sold, $210 million raised, and batch 27 currently priced at $0.0248 (reflecting a 2,380% ROI since batch one), investor interest remains strong.

通过这种模型，BlockDag正在现场现场测试经济游戏理论，在扩展之前暴露了任何潜在的漏洞。同时，动量继续增长。售出超过190亿枚硬币，筹集了2.1亿美元，批次27的价格为0.0248美元（反映了自批次以来的2,380％的投资回报率），投资者的利息仍然很高。

Ultimately, by simulating token flows during the testnet, BlockDAG ensures that economic systems are battle-tested ahead of mainnet deployment. This means it’s not just a technical trial—it’s a full rehearsal of the value dynamics that will define BDAG’s economy.

最终，通过模拟测试网络期间的令牌流，BlockDag确保经济体系在Mainnet部署之前进行了战斗测试。这意味着这不仅是一项技术试验 - 它是定义BDAG经济的价值动态的完整排练。

Real testing grounds, real signals. Ethereum Classic continues to stand firm on its principles, and Dogecoin proves that cultural relevance can have real staying power. When it comes to testing economic models before going live, BlockDAG takes a different approach.

真正的测试场，真正的信号。 Ethereum Classic继续坚持其原则，Dogecoin证明文化相关性可以具有真正的持久力。当涉及到实时测试经济模型时，Blockdag采用了不同的方法。

Its Beta Testnet doesn't rely on projections—it runs the actual mechanics of distribution, rewards, and vesting in a live environment. This hands-on simulation gives both the team and the community a clearer view of how BDAG will behave at scale.

它的Beta TestNet不依赖预测，它运行了在实时环境中的分销，奖励和归属的实际机制。这种动手模拟使团队和社区都更清楚地了解了BDAG如何表现。

For users and investors alike, it's a reminder that sometimes the best signal is found in what's already running.

对于用户和投资者来说，这提醒您有时在已经运行的内容中找到了最佳信号。

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