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Bitcoin Mining Difficulty Drops 3.34% to 119.12T

Coin WorldSunday, May 4, 2025 2:29 am ET
1min read

The Bitcoin network experienced a notable adjustment on May 4, 2025, at 05:00:13 UTC, concluding a new round of difficulty recalibration. This adjustment took place at block height 895,104, leading to a 3.34% decrease in mining difficulty. The new difficulty value is now set at 119.12 trillion (T). This reduction is a direct response to the current state of the network's computational power, which averages 885.45 exahashes per second (EH/s).

The decrease in mining difficulty is an inherent mechanism within the Bitcoin protocol designed to ensure that blocks are mined at a consistent rate of approximately every 10 minutes. When the network's hash rate increases, the difficulty rises to maintain this block time. Conversely, when the hash rate decreases, the difficulty adjusts downward to keep the block time consistent. The recent drop in difficulty indicates that the network's overall computational power has decreased, possibly due to miners temporarily shutting down operations or a reduction in the number of active miners.

The next difficulty adjustment is expected to occur in approximately 13 days and 3 hours, assuming the current hash rate remains stable. This periodic adjustment is vital for the stability and security of the Bitcoin network, as it helps balance the computational effort required to mine new blocks. The decrease in difficulty may also make mining more accessible for smaller miners or those with less powerful equipment, potentially leading to a more decentralized mining landscape.

Ask Aime: What factors affect Bitcoin's mining difficulty?

The current difficulty level of 119.12 T underscores the network's ongoing efforts to adapt to changing conditions and maintain its core principles of decentralization and security. As the Bitcoin ecosystem continues to evolve, these periodic adjustments will remain a critical component of the network's operation, ensuring that it remains robust and resilient in the face of fluctuating computational power.

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