
The tricky science of Internet measurement
10/27/2025
This post introduces the scientific practice of Internet measurement, detailing its challenges due to the Internet's opacity. It outlines the core components of measurement science: methodology (data curation, modeling, validation), ethics, and representation. It differentiates between active and passive measurement techniques, and direct and indirect measurement, providing examples for each. The post also describes the measurement lifecycle as a pattern for generating predictive insights, emphasizing the importance of high-quality data curation.

