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International Journal of Research and Innovation in Social Science (IJRISS)

Biden versus Trump through Science

byCesar Antoine Kamel; Richard Hanna Beainy

Published November 7, 2025  •  Vol. 9, Issue 10, pp. 2490–2500Open Access
DOI: 10.47772/IJRISS.2025.910000207

Abstract

This study aims to provide an informative and unbiased scientifical comparison of the Biden and Trump presidencies for the American public, global media, and scholars. Using modern technology and utilizing official data sources from the U.S. Government, Federal Reserve, World Bank, and United Nations, the study ran hypothesis testing and Welsh t-tests on various societal indicators like war casualties and economic metrics like debt and unemployment. Empirical evidence suggested that debt growth and death tolls are better (lower) during a trump term, however in terms of unemployment the difference is not statistically significant, even though numerically unemployment is slightly lower during a trump term. Finally, a Million scenario analysis took place according to which financial prosperity in the United states is probable on the short term.

Keywords: Unemployment Rate, Government Debt, Wars, United States of America

JournalInternational Journal of Research and Innovation in Social Science (IJRISS)
ISSN2454-6186
Volume / IssueVolume 9, Issue 10
Pages2490–2500
Publication dateNovember 7, 2025
DOI10.47772/IJRISS.2025.910000207
PublisherRSIS International
LicenseOpen Access

How to cite this article

Cesar Antoine Kamel, & Richard Hanna Beainy (2025). Biden versus Trump through Science. International Journal of Research and Innovation in Social Science (IJRISS), 9(10), 2490-2500. https://doi.org/10.47772/IJRISS.2025.910000207

BibTeX

@article{Cesar2025,
  title   = {Biden versus Trump through Science},
  author  = {Cesar Antoine Kamel and Richard Hanna Beainy},
  journal = {International Journal of Research and Innovation in Social Science (IJRISS)},
  volume  = {9},
  number  = {10},
  pages   = {2490--2500},
  year    = {2025},
  doi     = {10.47772/IJRISS.2025.910000207},
  publisher = {RSIS International}
}