Dossier on the Election in the Lab

Dossier on the election available in the Lab -a collection of election information from our site. All materials where this election is mentioned.

Election Cards

Dataset Manager

Russia, Parliament, 2026

Election card

Official name:

Election of Deputies of the State Duma of the Federal Assembly of the Russian Federation of the Ninth Convocation

Winner/leader:

The United Russia Party

Wikipedia entry:

2026 Russian legislative election

Wikipedia entry (Rus.):

Выборы в Государственную думу (2026)

Previous Article Georgia, the Parliament 2024
Print
7
Original data source:The CEC of Russia
URL of the source:www.izbirkom.ru/election/587813923/commission/f0130cef-663a-4c57-b8ff-17054f8fa34e/results?type=6&report=242
Data validation fileResults-2026-09-25.zip
ParsingPeter Zhizhin
Dataset:Duma-2026-data.zip
Date of verification9/25/2026
Verification of the dataset with the source:

"The data is sufficient to confirm falsification. Systemic, irreconcilable discrepancies. 6 million voters, and so on.

in the Lab
Please login or register to post comments.

Articles on the Elections

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

Presentation at the II Round Table of Mathematicians

Azat Gabdulvaleev 0 55822

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"

Presentation at the II Round Table of Mathematicians

Azat Gabdulvaleev 0 52506

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.

RSS
First910111214161718