The Trump phenomenon, an explanation from sociophysics
Serge Galam

TL;DR
This paper uses sociophysics opinion dynamics models to explain and predict Donald Trump's electoral success, emphasizing the role of prejudices, threshold effects, and strategic communication in shaping voter behavior.
Contribution
It introduces a sociophysics-based model of opinion dynamics that predicts Trump's success based on prejudice activation and threshold effects, offering a novel quantitative approach.
Findings
Trump's success can be predicted by threshold dynamics and prejudice activation.
Shocking statements lower the voting threshold, influencing voter shifts.
Appealing to shared prejudices is crucial for electoral victory.
Abstract
The Trump phenomenon is argued to depart from current populist rise in Europe. According to a model of opinion dynamics from sociophysics the machinery of Trump's amazing success obeys well-defined counter-intuitive rules. Therefore, his success was in principle predictable from the start. The model uses local majority rule arguments and obeys a threshold dynamics. The associated tipping points are found to depend on the leading collective beliefs, cognitive biases and prejudices of the social group which undertakes the public debate. And here comes the sesame of the Trump campaign, which develops along two successive steps. During a first moment, Trump's statement produces a majority of voters against him. But at the same time, according to the model the shocking character of the statement modifies the prejudice balance. In case the prejudice is present even being frozen among voters,…
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