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Thursday, November 14, 2024

Electoral Graphics

see with your own eyes

Elections in the Lens of Statistics

The mission of this site is to give everyone an opportunity to see the elections through the magic lens of statisticians. Of course, you have heard that mathematicians have found the way to discover fraud in elections as they have previously discovered distant planets: making calculations without leaving their desk. But it is better to see how they do it firsthand than to hear a hundred times. This is the site for this purpose. Not all of us have the time, technical capabilities and theoretical knowledge to independently explore the election results. But, unlike the distant planets, the elections and their fairness concern each of us.

Alexey Kupriyanov. II Round Table of Mathematicians. 2018 Alexey Kupriyanov. II Round Table of Mathematicians. 2018

Alexey Kupriyanov. II Round Table of Mathematicians. 2018

Closed discussions of the Roundtable.

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Alexei Kupriyanov.II Roundtable of Mathematicians. 2018

Closed discussions of the Round Table.

Alexei Kupriyanov.

II Round Table of Mathematicians. Boris Ovchinnikov. II Round Table of Mathematicians. Boris Ovchinnikov.

II Round Table of Mathematicians. Boris Ovchinnikov.

In May 2018, Boris Ovchinnikov participated in the Mathematicians Roundtable II. You can listen and see for yourself™ how it went.

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Azat Gabdulvaleev "Analysis of election results in the city of Grozny using graphical visualization and turnout counting based on video recordings from polling stations"

Azat Gabdulvaleev "Analysis of election results in the city of Grozny using graphic visualization and turnout counting based on video recordings from polling stations

The subject of the study is the capital of the Chechen Republic - the city of Grozny. It should be said that Chechnya consistently shows superloyal results in elections at any level.

Azat Gabdulvaleev "Graphical visualization of open data as a simple way to detect anomalies in voting results"

One such method is graphical visualization of open data. There is little or no math involved, but the charts can immediately identify some anomalies and indicate areas that need more detailed investigation.

So you can visualize open data in a graphical way.

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