Is it possible to predict future political events?
by Donald H. Marks, Physician, Scientist, 3rd Generation Veteran
Introduction
Predicting future political events is challenging, but IMO not impossible. While the field has seen significant strides, the inherent complexity of politics means accuracy is highly variable, warranting a closer look at the methodologies used.
Forecasting future political events can also be profitable, particularly if leveraging financial tools like prediction markets or, controversially, utilizing inside data.
The Rise of Electoral Forecasting
Political science and data analysis have made significant strides in forecasting certain aspects of politics, especially in electoral research. Researchers have developed sophisticated forecasting models, including statistical, structural, and time-series approaches, to make educated predictions about election outcomes and political trends. These models rely on historical data and polling, but also integrate a wider range of "fundamentals". These other factors include economic indicators, such as GDP or unemployment rates, and increasingly, social media sentiment analysis. For example, the "fundamentals" approach, which focuses heavily on economic conditions and incumbent popularity, has been used with some success to project some US presidential election results.
Challenges in Geopolitical Prediction
While elections offer defined parameters, geopolitical predictions present a unique set of difficulties. Experts rely on a different set of rules and methodologies that are not foolproof. Common frameworks used to assess global instability include analyzing structural factors, such as demographic shifts, resource scarcity, and climate change effects. They also often apply specific theories, such as Power Transition Theory (examining conflict likelihood when a great power is challenged) or theories of democratic consolidation (assessing regime stability). The subjective interpretation of these complex frameworks introduces variability that is less common in data-driven electoral modeling.
The Role of Technology and Profit
Big data and advanced analytics have also been explored to predict political developments, although their accuracy can vary. The rise of prediction markets offers a way to gauge public belief by reflecting actual financial incentives and stakes, unlike traditional polls which only measure opinions. If an individual is willing to put money behind their forecast, the market aggregates that information. However, this profitability creates an ethical grey area, especially concerning the use of inside data, which presents regulatory challenges for market integrity. For instance, a notable use of advanced analytics occurred during the 2016 US election, where some data firms claimed to have highly accurate micro-targeting models. The subsequent failure of many of these models to predict the outcome illustrated the limits of even massive datasets when faced with unpredictable voter dynamics. Another factor to consider is the insistence by machine politics organizations (DNC) to offer only slates of unacceptable entitled elitists.
Case Study: Fictional AI and Electoral Manipulation in The Capture (BBC, Season 2)
The BBC series The Capture (one of my fav TV series) provides a dramatic, contemporary fictional parallel to the real-world risks associated with AI, deepfake technology, and political manipulation. Season 2 specifically focuses on Big Tech's political manipulations, where Britain is under siege from hacked news feeds, manipulated media, and explicit interference in politics. The core premise is the fictional? "Correction" program, a real-time deepfake system used by intelligence agencies to manipulate live video feeds. In the second half of the series, this predictive and manipulative AI technology is shown shaping the views of the voting populace and ultimately affecting the outcome of elections, using a rising star MP named Isaac Turner as a target. The escalating plot features the terrifying rise of deepfake technology, illustrating how the ability to blur truth and fiction can be weaponized to secure political narratives, sway elections, and influence public perception.
Conclusions
Ultimately, the ability to forecast political events remains a balance between scientific rigor and human unpredictability. While data analysis provides powerful tools for structured events like elections, predicting complex geopolitical shifts requires reliance on theoretical frameworks. The pursuit of prediction, both academic and for profit, continues to push the boundaries of political science.
Further Reading
Social Stability and Uncertainty in the Age of A.I., Donald Harvey Marks
Are We Living in a computer Simulation? by Donald H. Marks
Do issues of mortality or immortality really matter if we are living in a simulation? by Donald H. Marks
Elitists Neocons Neoliberals, Globalists and Narcissists, oh my. What are they, who are they, and why should I care? by Donald Harvey Marks
Fake News: Everything You Need to Know , by Donald H Marks
Detecting Deepfakes: Strategies and Tools by Donald Harvey Marks
Top Medical Journals including JAMA and NEJM Challenged by Department Of Justice. Fraud vs clever and misleading deception, by Donald H. Marks.
The Win Machine, by Ryan McBeth. Dystopian financial fiction, book review by Donald Harvey Marks.
“Undermoney”, a techno economic political fiction, by Jay Newman. Reviewed by Donald Harvey Marks
"The End of Reality," by Johathan Taplin. Book review on wide scale deception and greed by the super wealthy 4 horseman, by Donald Harvey Marks
Efforts to Overturn Citizens United, by Donald H. Marks
