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Tuesday, November 3 • 11:30 - 12:30
Today, Trump is winning again the presidency: the prediction of a data free sociophysics model

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This talk is a follow up of a talk I gave first on September 10 at the Physics Department of Buffalo University, about predicting Trump victory on November 3, 2020 (https://www.youtube.com/watch?v=r_PDot-b8eE).  The prediction results from a model of opinion dynamics I have been developing during several decades within the field of sociophysics,  
 
The same model has yielded the 2016 Trump victory. However, while the activation of frozen prejudices was the main ingredient of last Trump victory, this time it will not work. What is going to make the outcome in each swing state are the tiny differences between the respective proportions of stubborn voters for Trump and Biden. In addition, the prejudice of fear will combined to the one about individual stand facing a danger like with Covid-19, reckless or cautious, could reinforce or weaken the stubborn effect. I will review associated scenarios. The model conclusion is still Trump victory in today election. A preprint of a paper has been posted on arXiv (https://arxiv.org/abs/2010.10602).

Zoom-Link zu dieser Session:
https://zoom.us/j/92379163058

Bitte registrieren Sie sich auf der SciCAR-Homepage, um an der virtuellen Konferenz teilnehmen zu können. Das benötigte Passwort zum Zoom-Meeting erhalten angemeldete Teilnehmer am Montagmorgen (02.11.) per E-Mail. Eine Anmeldung ist auch noch nach Konferenzbeginn möglich.


Moderators
avatar for Franco Zotta

Franco Zotta

Geschäftsführer, WPK - Die Wissenschaftsjournalisten

Speakers
avatar for Serge Galam

Serge Galam

CEVIPOF - Center for Political Science, Sciences Po and CNRS
Serge Galam is a Senior Scientist Emeritus at CNRS and Sciences Po since 2017. His research in physics has focused on disorder and collective phenomena in condensed matter. In addition, at the beginning of the eighties he started founding the modern field of sociophysics with several... Read More →


Tuesday November 3, 2020 11:30 - 12:30 CET

Attendees (8)