At present, the two-stage community rankings are either an industry innovation experiment or a microcosm of industry contradictions. The changes in demand at different stages of the project evolve into short-term popularity driven by airdrops or the project's own long-term value capture capabilities. It depends entirely on algorithmic fairness and the sustainability of the economic model. For users, they need to be independent thinkers with their own "minds" to avoid becoming "data laborers" for content mining. For project parties, they need to weigh the interests of short-term exposure and long-term ecological health. For the platform, it is necessary to ensure "fairness" as much as possible. Although fairness may not be the "absolute fairness" that people imagine, it still needs to be "relatively fair."