The paper proposes a simple Ising spin model to describe decision-making in a closed community. Through Monte Carlo simulations, the authors demonstrate that even simple rules can lead to complex dynamics and a power-law distribution in decision times. The model predicts that a closed community will evolve into either a dictatorship or a stalemate state, where no common decision can be made. In contrast, an open community, with some information noise, can make democratic decisions. The study also explores the influence of initial conditions and the role of small groups in achieving a stalemate. The distribution of decision times follows a power law, with the exponent varying depending on the level of information noise. The findings suggest that small but finite information noise can lead to disorder and the possibility of democratic decision-making.The paper proposes a simple Ising spin model to describe decision-making in a closed community. Through Monte Carlo simulations, the authors demonstrate that even simple rules can lead to complex dynamics and a power-law distribution in decision times. The model predicts that a closed community will evolve into either a dictatorship or a stalemate state, where no common decision can be made. In contrast, an open community, with some information noise, can make democratic decisions. The study also explores the influence of initial conditions and the role of small groups in achieving a stalemate. The distribution of decision times follows a power law, with the exponent varying depending on the level of information noise. The findings suggest that small but finite information noise can lead to disorder and the possibility of democratic decision-making.