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.

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

Russia, Bryansk region, Governor 2020

electoral card

Official title:

Election of the Governor of Bryansk Oblast

Winner/leader:

Alexander Bogomaz

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Tags: RF Bryansk Obl Governor 2020
Original data source:The CEC of Russia
URL of the source:www.bryansk.vybory.izbirkom.ru/region/region/bryansk?action=show&root=1&tvd=23220001327314&vrn=23220001327310®ion=32&global=&sub_region=0&prver=0&pronetvd=null&vibid=23220001327314&type=234
Data validation fileRussia_Bryansk_region_Governor_2020.pdf
ParsingShpilkin
Dataset:Russia_Bryansk_region_Governor_2020.zip
Date of verification10/2/2020
Verification of the dataset with the source:

Reconciliation result: Discrepancy: 250 voters, 100 ballots.

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.

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Criticism and bibliography Criticism and bibliography

Criticism and bibliography

Borisov I.B., Zadorin I.V., Ignatov A.V., Marachevsky V.N., Fedorov V.I., Mathematical tools of election delegitimization. Report of the Russian Public Institute of Electoral Law. Moscow, 2020,

Alexander Shen 0 8424

The peer-reviewed paper again raises the question about the incorrectness of the statistical analysis. But it is based on a misunderstanding: the authors rightly point out and confirm with numerous examples that the histograms of elections may well be very different from the «Gaussian» even in the absence of falsifications. Probably, they have not seen the works mentioned above and assume that so far the conclusions about falsifications are based on the deviation from «Gaussianity».

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