It emphasizes that the necessity for external verification mechanisms is mitigated by intrinsic properties of the system's design. Specifically, when a share is retrieved or interacted with at a given position within a data slice, its validity and relevance are inherently assured due to its position within the structure. This implies a level of trust and reliability built into the system architecture, reducing the need for additional validation steps or tools to confirm the authenticity or appropriateness of the shared data.

Furthermore, this approach underscores the efficiency and streamlined nature of data management and verification processes in such systems. By leveraging the positional integrity of data shares, the system ensures that users or applications requesting data are provided with the correct information automatically. This method not only simplifies the operational model but also enhances security and trustworthiness, as the data's placement and retrieval mechanisms inherently guard against common data integrity issues.

In essence, the discussion revolves around a self-validating data sharing mechanism that capitalizes on the structural and positional attributes of data within a system to assure accuracy and reliability. This system design principle significantly contributes to the robustness, speed, and simplicity of data operations, marking a strategic approach to managing and verifying data in complex environments.