Electoral Graphics
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Tuesday, May 21, 2024

About us

Electoral.Graphics through events and milestones

About us

Our website has an interesting history. It was initiated by volunteers in 2013, died, was revived by Golos Movement, changed its name, brought together election research mathematicians, went into hibernation and came back to life again. It has had a number of very interesting and high-quality offsprings and spin-offs. 

What has happened over the years, we have tried to describe on the pages of this section.

The main thing stays the same: we are always open to new ideas and suggestions. Although we are currently running on Microsoft SQL and ASP.NET, these are more like working prototypes made at night by non-programmers. If you would like to join the project with these or other technologies, we can do so via iframe, Embed or Object.

The Golos Movement had to stop maintaining this site, and it is once again in the hands of enthusiasts. But we're just lab technicians keeping our Lab Tools at the ready, updating samples, and carefully collecting your findings and discoveries for all to see. The array of election data is so huge that no researcher, no group of researchers, can explore all countries, regions and constituencies. That's why the doors of our Lab are always open to you, and you can always be sure that your personal discoveries are waiting for you.

With ideas, suggestions and comments please write to [email protected].

Best regards,
Project manager
Roman Udot


Milestones Milestones
Events Events
Verdict of Electoral.Graphics Verdict of Electoral.Graphics
Verdict of Electoral.Graphics
News from the Lab News from the Lab
News from the Lab

DIY Kiesling-Shpilkin diagram

The presentation of a new interactive tool

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Good news for electoral observers, journalists and election investigators. You have a new and long-awaited tool - the interactive Kiesling-Shpilkin diagram. This detailed video lesson will help you understand how to work with this kit, what the advantages of an integrated approach are, how the tools help each other to detect an anomaly, or how the findings of one tool confirm the findings of another. In the lecture, we detected falsifications in the Moscow region.

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