The objective of the Byzantine margin of error is to protect against system component failures, with or without symptoms, preventing other components of the system from reaching an agreement if such an agreement is necessary for the system to function properly. An example of BFT is Bitcoin, a peer-to-peer digital cash system.  The Bitcoin network is working in parallel with the creation of a proof-of-work blockchain that allows the system to overcome Byzantine failures and obtain a coherent global view of the state of the system. Satoshi Nakamoto created Bitcoin in 2008, and he made the network very strong as a distributed peer-to-peer model that is maintained without intermediaries. Since then, many digital currencies have been created, following the same system where all nodes share the same information (even copy of the block chain) and where each node can communicate safely with any other node via the network, because it knows that the same data is displayed. Byzantine error tolerance mechanisms use components that repeat an incoming message (or only their signature) to other recipients of that incoming message. All of these mechanisms assume that the act of repeating a message blocks the spread of Byzantine symptoms. In the case of a high-security or security critic system, there is evidence that these assumptions apply to an acceptable level of defect coverage. By providing evidence through tests, one difficulty is to create a sufficiently wide range of signals with Byzantine symptoms.  Such tests will likely require specific error injectors.   The typical assignment of this story to computer systems is that computers are the generals and their digital communication system links the messengers. Although the problem is formulated by analogy as a decision and security problem, it cannot be solved in electronics by cryptographic digital signatures, as errors can spread like false tensions through the encryption process.
As a result, one component may appear defective for one component and defective for another, thus preventing a consensus on whether the component is defective or not. In the event of a Byzantine error, a component such as a server may appear inconsistent as both a bug detection system and functional, presenting different symptoms for different observers. For the other components, it is difficult to declare them to fail and remove them from the network, as they must first reach a consensus on the failed component. The concept of the Byzantine margin of error in a cryptocurrency is the characteristic of reaching agreement or consensus on certain blocks based on proof of work, even if some nodes do not react or emit malicious values to control the evil network. BFT`s main objective is to protect the system even in the event of defective nodules. This will also help reduce the influence of defective nodes. Some astronaut flight systems such as SpaceX`s Dragon look at the Byzantine margin of error in their design. Some aircraft systems, such as Boeing 777 Aircraft`s information management system (via its ARINC 659 SAFEbus network),  use the Byzantine margin of error for Boeing 777 flight control systems and Boeing 787 flight control systems; Because these are real-time systems, Byzantine error-tolerance solutions must have very low latency. For example, SAFEbus may obtain a Byzantine margin of error in the order of an additional latency microsecond. The Byzantine margin of error can be reached if loyal (non-defective) generals have a majority agreement on their strategy. It is possible to indicate a default voting value for missing messages.