In a democratic society, voting between different options, as is customary in elections, often leads to deep divisions between majority and minority groups. When one group "wins" and another "loses," a reality of alienation and social polarization emerges. The method we propose in this article aims to prevent these divisions by creating a mechanism that encourages the identification of consensual solutions. Instead of deciding between opposing options, the model allows for a more precise expression of positions and feelings, thereby helping to build bridges between different groups in society. This approach not only prevents divisions but also strengthens social capital by creating a sense of partnership and shared responsibility in the decision-making process.

In the realm of collective decision-making, we often face a fundamental challenge: how do we meaningfully measure group consensus? Traditional voting systems frequently fall short, failing to capture both the intensity of opinions and the significance of participation levels. This article introduces an elegant mathematical approach that addresses these limitations while remaining intuitive and accessible to all participants.