Merge approach and principles sections

Author: ch1bo

docs/leios-design/README.md

@@ -653,8 +653,6 @@ Research and development of distributed consensus protocols does not follow a li
 
 The challenge is compounded by the nature of the system itself. Cardano as deployed on mainnet is a globally distributed system with hard real-time constraints operating in an adversarial environment. Failures or performance degradation cannot be tolerated, as they directly impact the economic value and security guarantees that users depend upon. This necessitates an implementation approach that validates critical properties early, maintains continuous delivery of working prototypes, and ensures transparency in both progress and limitations throughout the development process.
 
-## Principles
-
 Three [principles](https://leios.cardano-scaling.org/docs/strategy#principles) guide the implementation strategy: First, **early validation** of critical assumptions and risks enables discovery of fundamental problems as early as possible in the development cycle and reduces the likelihood for wasteful pivots and delays in delivery. Second, the implementation must progress through **continuous delivery** of increasingly capable prototypes rather than attempting to build the complete system in isolation. This allows for empirical validation at each stage and enables course corrections based on observed behavior. Third, **transparency** in both capabilities and limitations must be maintained throughout, ensuring that stakeholders including stake pool operators and delegated representatives can make informed decisions about deployment readiness.
 
 These principles are also reflected in the choice of validation techniques applied at each stage. Formal methods provide the strongest guarantees of correctness but apply to abstracted models. Simulation enables exploration of protocol behavior under controlled conditions including adversarial models. Prototypes running on real infrastructure validate that theoretical performance bounds can be achieved in practice. Public testnets demonstrate end-to-end integration and allow the broader community to evaluate the system under realistic conditions.