Channel
@corona_blog
On this record: Growth · Engagement · Posts · Citations · Cite this entry
932subscribers
-4 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001256392428 |
|---|---|
| Type | Channel |
| Username | @corona_blog |
| Created | 18 March 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/corona_blog |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 06:19 | 932 | -4 |
| 6 Aug 2026, 13:52 | 936 | no change |
| 6 Aug 2026, 09:52 | 936 | first reading |
20 posts held, back to 30 January 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 18 July 2026 |
|---|---|
| Posts held | 20 (30 January 2026 – 18 July 2026) |
| Views total | 125 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 13:52 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Johannes Clasen im Gespräch mit Sabine Mertens und Katja Lohrum – zwei Frauen, die durch ein ähnliches Schicksal, das ihr Leben unwiderruflich verändert hat, verbunden sind. Im Rahmen der Reihe „geimpft, geschädigt, geleugnet“ sprechen sie über Verlust, Verzweiflung, einen täglichen Kampf und das Gefühl, mit all dem allein gelassen zu sein. Während des Gesprächs ringen beide immer wieder mit den Tränen, suchen gegens…
🗞 Studie: Übersterblichkeit während Grippewelle Ende 2022 höher als in allen COVID-19-Wellen ➠ Meldung lesen ... Zahlen des Statistischen Bundesamtes und des Gesundheitsministeriums ausgewertet / Auch Zahl der Arztbesuche und Krankenhausaufenthalte sowie Auslastung der Intensivbetten während Grippewelle höher als während aller Corona-Wellen / Forscherin: „kein auffallend großes Infektionsgeschehen“ während Corona-Kri…
✒️ Mehr als 2.000 Bürger haben bei der Europäischen Arzneimittelagentur Anträge auf Zugang zu den Zulassungsdaten der Corona-mRNA-Präparate gestellt. Sie fordern eine wissenschaftliche und regulatorische Neubewertung der sogenannten Impfstoffe sowie eine sofortige Aussetzung ihrer Anwendung. Doch die Behörde unter der Leitung der ehemaligen Pharma-Lobbyistin Emer Cooke mauert und versteckt sich hinter einer umstritt…
Es ist schwer, sechs fehlende Jahre Aufarbeitung in zwölf Minuten zu packen. Bastian Barucker hat es vor der Brandenburger Corona-Enquete jetzt dennoch versucht. Sehr sehenswert: https://www.youtube.com/watch?v=kNCLtmWur1w ➜ Kommentare, multipolar
Erneute Großdemonstration in Deutschland – muss die Regierung Angst haben? https://corona-blog.net/2026/05/22/erneute-grossdemonstration-in-deutschland-muss-die-regierung-angst-haben/ @corona_blog & @corona_ist_nicht_das_problem
🟥 39 verfolgte Ärzte in Deutschland | Aachener Auszeichnung für Menschlichkeit | 14.05.2026 Aachen https://youtu.be/eAruyEENtis?is=OW_Bj5uxlQ-9kMLk
[German] Corona-Staat Schweiz: Amnestie oder Amnesie? ➥ Read here / Hier lesen @swprs
Kritik an Drosten-Forderung nach „Qualitätssicherung“ für Journalismus – Virologe fordert „berufsständische“ Kontrollen und Geld für Qualitätsmedien, um „gewollte Filterwirkung“ zu erreichen / Mediziner Schrappe: „wissenschaftliches Wahrheitsministerium“ https://multipolar-magazin.de/meldungen/0415 ➜ Kommentare, multipolar
Berichte: „Stark erhöhte Suizidalität“ bei Betroffenen von Impfschäden und „Long-Covid“ – Patienten beklagen mangelnde Therapie und kaum finanzielle Unterstützung / Betroffene melden sich zunehmend bei Sterbehilfeorganisationen an https://multipolar-magazin.de/meldungen/0409 ➜ Kommentare, multipolar
🗞 Bundesregierung: Keine Kriterien zur Unterscheidung von „Long-Covid“ und Impfschäden ➠ Meldung lesen ... Antworten auf parlamentarische Anfragen: Bundesregierung weiß nicht, wie viele „Long-Covid“-Betroffene gegen Corona geimpft wurden / Mediziner: Unterscheidung zwischen „Long-Covid“ und Impfschäden „politisch nicht gewollt“ / Ärzte vermuten hohe Dunkelziffer bei Impfschäden und kritisieren fehlende Forschung all…
Wie rechnete Destatis 50.000 zusätzliche überzählige Tote herbei? Erklärt für Dummies von Prof. Kraus (Medical Data Science, Hochschule Mannheim). t.me/Rosenbusch
✒️ Ein neues Buch eines Redakteurs der Süddeutschen Zeitung prangert die juristischen Bemühungen zur Einschränkung der Meinungsfreiheit an. Doch die Analyse bleibt dürftig und ohne Systematik, meint Walter van Rossum. ➠ Artikel lesen alle bisherigen Beiträge: Artikel, Meldungen, tägliche Hinweise, Literatur. @multipolar_magazin
Showing the 12 most recent of 20 posts we hold for @corona_blog. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank — 1,324,988 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 15 August 2026 — this entry's latest reading, not the date you are reading this.
“Corona Blog” (@corona_blog), 932 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/corona_blog.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.