Democracy is a straightforward solution for homogeneous and stable populations of stakeholders. However, in reality, these conditions do not usually hold. In a heterogeneous population, in which a few clusters of homogeneous stakeholders can be identified, traditional majority-vote democracy not only can be inefficient, it can be dangerous.
The problem with democracy is that it does not have a memory. The current vote of the current population determines the outcome. Physical location has been used to add some sort of memory to democracy. For example, the UN General Assembly vote (every country has only one vote regardless of its population) and electoral voting in the USA can be named. However, in many cases the stakeholders share the same region, and therefore the physical location is inapplicable.
The first, but mild, danger of the traditional democracy is that the majority vote overshadows the minorities. A reverse and related effect to this phenomenon is "resistance to change" in the fear of losing to an alien majority resulted from the change. Hybridization and mixing are known as the main forces of development. Resistance to change not only can slow down the development, it may cause drastic differences in the development across the world which can be a threat to its sustainability.
The second and more server side-effect of the traditional democracy is its promotion of massacre (hard or soft: forced displacement, and forced migration because of uncomfortable conditions). One cluster of stakeholders can directly or indirectly eliminate or expel the other clusters from the region of interest in order to gain the majority ruling. Memoryless democracy not only cannot prevent these cruel actions, it may actually promote them.
Historical Maximum Percentage is an effort to add memory to democracy in a simple, to gain everyone's trust, but practical and efficient way. It requires identification of stakeholders' clusters which could be identified based on the common features of within clusters. The common features within clusters are usually distinctive features between clusters. Therefore, the features can be determined by studying the past confrontations, and by extracting most distinctive features between the confronting clusters.
In the next posts, the details of the Historical Maximum Percentage will be discussed.
