What significantly aided the development of dive computer algorithms?

The significant advancement of dive computer algorithms can be primarily attributed to the increased data collected from actual decompression dives. This real-world data provides insights into the complexities of human physiology under pressure and how divers respond to varying depths and rates of ascent. By analyzing this data, researchers and developers can refine algorithms that better account for the risks and variables associated with decompression sickness, thereby improving safety and efficiency in diving practices.

In contrast, theoretical models alone often lack the practical validation that comes from empirical data obtained during real dives. Although historical diving data plays a role in understanding past practices and outcomes, it may not reflect contemporary diving conditions and equipment. Input from professional divers can contribute valuable perspectives and anecdotal evidence, but without extensive data from actual dives, the effectiveness of the algorithms would be limited. Therefore, the integration of increased dive data has been crucial to the evolution of more reliable and accurate dive computer technology.