Measuring the Internet is a complex yet essential scientific practice due to the network's opaque nature, which stems from its composition of independently operated and rarely transparent systems. Internet measurement requires rigorous methodologies, ethical considerations, and effective data representation to avoid misleading conclusions and unintended consequences. The measurement process involves data curation, modeling, and validation, each contributing to understanding Internet behavior and facilitating accurate predictions. Cloudflare exemplifies the importance of integrating passive and active measurement techniques, as shown in their analysis of HTTP traffic spikes in Ukraine, which underscored the necessity of context and alternative explanations. Visualization plays a crucial role in illustrating data insights while mitigating biases, and ethical considerations often drive innovative methodologies, such as Cloudflare's approach to estimating CDN performance without intrusive techniques. The interplay of these elements ensures the effectiveness and reliability of Internet measurement, fostering a deep understanding of the global network.