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

Integration Manager
/ Categories: Territory of elections, Russia, Penza Oblast, Catalogue of Elections, with datasets, in the Lab

Russia, Penza Region, Governor 2020

electoral card

Official title:

Election of the Governor of Penza Region

Winner/leader:

Ivan Belozertsev

Wikipedia article:

Выборы губернатора Пензенской области (2020)

Previous Article Russia, Perm Territory, Governor 2020
Next Article Russia, Leningrad Region, Governor 2020
Print
17416
Tags: RF Penza Oblast Governor 2020
Original data source:The CEC of Russia
URL of the source:www.penza.vybory.izbirkom.ru/region/region/penza?action=show&root=1&tvd=25820001003521&vrn=25820001003517®ion=58&global=&sub_region=0&prver=0&pronetvd=null&vibid=25820001003521&type=234
Data validation fileRussia_Penza_region_Governor_2020.pdf
ParsingShpilkin
Dataset:Russia_Penza_region_Governor_2020.zip
Date of verification10/2/2020
Verification of the dataset with the source:

Reconciliation result: Discrepancy of 533 voters, 72 ballots (no digital PECs).

Digital PECs were not included in Shpilkin's parsings in 2020.

The CEC, by introducing the captcha mechanism on its website, deliberately created obstacles for citizens to familiarize themselves with and analyze the election results. This, in turn, reduced the reliability of capturing published data using the Wayback Machine and similar servers.

in the Lab

Related articles

Please login or register to post comments.

Articles on the Elections

DIY Kiesling-Shpilkin diagram DIY Kiesling-Shpilkin diagram

DIY Kiesling-Shpilkin diagram

The presentation of a new interactive tool

EG 0 14929

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.

Read more
RSS
123468910Last