While the concept of ‘transactions per second’ (TPS) is commonly used to gauge network speed in cryptocurrency, a closer look at the mechanics reveals its limitations. Bitcoin, for example, achieves 6 TPS on average. However, this figure doesn’t reflect real-time processing; it merely shows an average number of transactions confirmed every ten minutes, after which they are grouped into a block and added to the blockchain. These blocks take approximately 10 minutes to form, resulting in only 600 confirmations during this period. 6 TPS is essentially misleading as users experience no immediate transaction confirmation between these intervals. The waiting time between blocks can be perceived as ‘void,’ leaving the network’s responsiveness at a standstill. In comparison, the concept of ‘blocks per second’ (BPS) offers a clearer perspective on network efficiency. Satoshi Nakamoto developed this metric to address the challenge of decentralizing timestamp synchronization in the blockchain, recognizing its inherent connection to time and clock speeds. A #blockchain is essentially a #TimeChain, a universal clock that operates on 10-minute intervals. This means between these ticks of time, there’s no activity, leading to potential latency and sluggish performance. Just like computers operate at specific frequencies (clock rates), the network’s speed and responsiveness depend on its block rate, similar to how a computer’s clock rate affects its processing speed. Faster blocks translate to a more responsive network, enabling transactions to be processed quicker. The Kaspa cryptocurrency, for instance, leads the pack with 10Hz BPS, six thousand times faster than Bitcoin and significantly outperforming Ethereum, MATIC, etc. Kaspa aims to achieve 100 blocks per second in future plans. To better understand the performance of a blockchain network, focus on its block rate (BPS) instead of TPS, which may provide a more accurate representation of its speed and efficiency.