Complexity Science Models of Financing Health and Social Security Fiscal Gaps

Many think health and Social Security markets and social insurance programs are broken because they are increasingly unaffordable for too many Americans. Bending the cost curve down has become a standard reference term for the main objective of reform proposals to slow cost increases or even reduce them. This paper presents an alternative model with preliminary results of statistical analyses of complexity science simulation models with historical data that quickly bend the GDP curve up to increase affordability. This paper looks beyond popular reform models to self-organizing complexity science models based on chemistry, physics, and biology theories to suggest sustainable, long-term financial reform proposals. The foundation of these proposals is not based on orthodox market failure economic models but rather on thermodynamics in general and the time evolution of Shannon information entropy in particular: