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See but WP:COI. Algeria is right now world champion in terms of making Poisson noise almost disappear from the daily SARS-CoV-2 counts. In other words, the counts cannot really be interpreted literally as encyclopedic "knowledge"; they are "official counts" only. See arXiv:2007.11779, Zenodo: 3951152 for the full research paper (presently a preprint). I haven't (so far) heard of any innocent explanations of the missing noise. Boud (talk) 17:39, 2 August 2020 (UTC)[reply]
The analysis is peer-reviewed and published in PeerJ under CC-BY (so its content is directly usable on the Wikimedia wikis). The Algerian data is "strongly sub-Poissonian" per the abstract of the paper; in other words, it's highly suspicious because it's much too smooth. And that is for the final version of the paper including data through to May 2021. Apparently Ministry of Health officials weren't concerned about the Ministry being outed as explained above in ... August 2020. Here's the reference in case anyone wishes to use it: <ref name="Roukema2021">{{cite journal | last1 = Roukema | first1 = Boudewijn F. | author1-link = | title = Anti-clustering in the national SARS-CoV-2 daily infection counts | journal = [[PeerJ]] | volume = 9 | pages = e11856 | date = 2021-08-27 | url = https://peerj.com/articles/11856 | issn = 2167-8359 | doi = 10.7717/peerj.11856 | id = {{zenodo|5262698}} |arxiv=2007.11779 | archive-url= https://web.archive.org/web/20210827184744if_/https://peerj.com/articles/11856 | archive-date= 2021-08-27 |url-status=live }}</ref>Boud (talk) 00:29, 17 September 2021 (UTC)[reply]
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but WP:COI. Algeria is right now world champion in terms of making Poisson noise almost disappear from the daily SARS-CoV-2 counts. In other words, the counts cannot really be interpreted literally as encyclopedic "knowledge"; they are "official counts" only. See arXiv:2007.11779, Zenodo: 3951152 for the full research paper (presently a preprint). I haven't (so far) heard of any innocent explanations of the missing noise. Boud (talk) 17:39, 2 August 2020 (UTC)