Statistical analysis of Russian federal election data from 2000 to 2020 reveals patterns indicative of electoral fraud. The data, compiled by Sergey Shpilkin, has been the foundation for several studies examining the integrity of Russian elections. Notable research by Kobak, Shpilkin, and Pshenichnikov has been published in peer-reviewed journals such as *The Annals of Applied Statistics* and *Significance*, highlighting anomalies like integer percentage peaks that suggest ballot manipulation.
These studies have provided statistical evidence of irregularities in the election results, often referred to as “Putin’s peaks,” due to their recurrence in elections involving Vladimir Putin. The research has been influential, leading to further analysis and discussion in the academic community and media outlets like Meduza.
The methodologies and findings of these studies are transparent and accessible, with detailed analyses available in Jupyter notebooks hosted on GitHub. These notebooks allow for replication and review of the work, offering a clear view of the statistical fingerprints that point to electoral fraud in Russian elections.
Read more at GitHub…