Trust can be established without exposure; @Lagrange Official uses #lagrange to break the trust dilemma
"How can I trust you if you don't show me the data?" This is the trust dilemma in Web3—according to traditional logic, trust relies on "information transparency," but when sensitive information is transparent, privacy is lost. @Lagrange Official creates lagrange specifically to break this dilemma: using zero-knowledge proof technology, it enables trust to be established without exposing information, which is the remarkable aspect of #lagrange .
For instance, a decentralized dating platform needs to verify that "users have no bad records" without checking the user's credit report—users generate ZK proofs, allowing the platform to know that "there are no issues" without knowing the specific record details. Similarly, a charity platform can confirm that "the beneficiary meets the criteria" without needing to see the details of their poverty proof; proving "compliance" is sufficient, thus protecting the beneficiary's privacy while ensuring donations are used effectively. It turns out that trust does not need to rely on "seeing all the information."
LA acts as the "lubricant" in the trust system. Nodes staking LA generate proofs, which is akin to a "trust intermediary" receiving compensation; the platform employs the #lagrange scheme, with part of the $LA being destroyed, linking the value of the tokens to the demand for trust. @Lagrange Official also excels at "reducing trust costs": after developers integrate #lagrange , users do not need to repeatedly submit data; a single proof can be used across multiple scenarios, thus directly enhancing the user experience.
Currently, what people fear is not "distrust," but "losing privacy for the sake of trust." #lagrange just happens to address this pain point, and as $LA becomes the "hard currency" of the trust system, its value naturally increases. @Lagrange Official demonstrates with lagrange that trust can be established through technology without exposing privacy.
