Improving financial forecasting accuracy in an unequal society necessitates a combination of technical and behavioral strategies, such as improving the quality and availability of data that can capture the heterogeneity and dynamics of the income distribution and its economic effects, as well as enhancing the robustness and flexibility of the models and methods that can incorporate the uncertainty and complexity of the income inequality phenomenon. Additionally, it is essential to increase the transparency and accountability of the forecasting process, along with its assumptions, limitations, and uncertainties. Moreover, it is important to encourage the participation and consultation of diverse stakeholders that can provide input and feedback to the forecasts. Lastly, developing the skills and competencies of forecasters and users of forecasts is essential to enable them to analyze, interpret, and apply forecasts effectively and ethically.