This period coalesces around the formalization of what it means to measure and to quantify information, linking measurement theory with broader statistical and engineering practices. A formal typology of measurement scales emerges, providing a universal language for data analysis across sciences; simultaneous development of information quantification drives advances in communications and data processing. Practical methods for estimating endpoints, thresholds, and instrument precision begin to anchor experimental reliability and quality assurance.