https://youtu.be/Ex9nntj_DtQ
Signed Hans U. P. Tolzin

Channel
@impfschadencorona
On this record: Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
10,416subscribers
-33 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001376154891 |
|---|---|
| Type | Channel |
| Username | @impfschadencorona |
| Created | 10 February 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/impfschadencorona |
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 19:07 | 10,416 | -2 |
| 15 Aug 2026, 03:39 | 10,418 | -3 |
| 13 Aug 2026, 17:39 | 10,421 | -4 |
| 12 Aug 2026, 16:34 | 10,425 | -3 |
| 11 Aug 2026, 18:18 | 10,428 | -5 |
| 10 Aug 2026, 16:01 | 10,433 | -4 |
| 9 Aug 2026, 16:07 | 10,437 | -2 |
| 8 Aug 2026, 16:37 | 10,439 | -4 |
| 7 Aug 2026, 19:42 | 10,443 | -3 |
| 6 Aug 2026, 16:16 | 10,446 | -3 |
| 6 Aug 2026, 03:30 | 10,449 | no change |
| 6 Aug 2026, 03:24 | 10,449 | first reading |
43 posts held, back to 29 July 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 19 pagesof 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 14 August 2026 |
|---|---|
| Posts held | 43 (29 July 2026 – 14 August 2026) |
| Views total | 46,206 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 18:44 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.
Measured directly from 6 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
https://youtu.be/Ex9nntj_DtQ
Signed Hans U. P. Tolzin
Neue Analyse wirft schwere Fragen zur Zulassung von Modernas mRNA-Grippeimpfstoff auf Die schwerwiegenden Nebenwirkungen, die in der Zulassungsstudie zu Modernas neuem mRNA-Grippeimpfstoff auftraten, wurden nach Ansicht der investigativen Journalistin Maryanne Demasi in der Nutzen-Risiko-Bewertung der FDA durch das Zusammenführen mehrerer Studien statistisch… https://uncutnews.ch/neue-analyse-wirft-schwere-fragen-z…
Signed Phine
Seitdem ich im Jahr 2006 erstmals die offiziellen IfSG-Meldedaten Nebenwirkungsmeldungen per Informationsfreiheitsanfrage vom Paul-Ehrlich-Institut (PEI) herauspressen konnte, liegt die Rate der Meldungen mit unbekanntem Ausgang bei ca. 25 %. Das war damals so, also ab Beginn der Erfassung im Jahr 2000 und ist heute auch noch so, also im Jahr 2026. https://tolzin.substack.com/p/das-paul-ehrlich-institut-im-ewigen
Signed Hans U. P. Tolzin
Dr. med. vet. Peter Patzak ist Tierarzt und Heilpraktiker mit jahrzehntelanger Erfahrung mit den medizinischen und juristischen Aspekten des Impfens und derzeit der einzige im deutschen Sprachraum nach DIN EN ISO/IEC 17024 zertifizierte Sachverständige für Impfverfahren und Impfschäden und Gutachter. Er bietet ab 2027 eine Fortbildung zum Impfsachverständigen an. Diese Fortbildung wird ab 2027 sechs Wochenendkurse i…
Signed Hans U. P. Tolzin
https://uncutnews.ch/freigegebenen-sms-zeigen-fauci-und-sein-team-wussten-bereits-2021-uber-die-risiken-einer-fehlgeburt-durch-die-covid-impfung-und-haben-dies-verheimlicht/
Signed Phine
Donald Trump hat am 10. August 2026 per Executive Order neue Leitlinien für die US-Kinderimpfempfehlungen festgelegt. Grundlage ist eine HHS-Bewertung, nach der die USA mehr Kinderimpfungen empfehlen als vergleichbare Industrieländer und viele dieser Länder hohe Impfquoten eher über Aufklärung und Vertrauen als über Pflichtregelungen erreichen. Die Bundesregierung will deshalb den Impfkalender stärker an internationa…
Signed Hans U. P. Tolzin
Heute spreche ich mal Tacheles, auch wenn es nicht jedem gefallen wird. Auslöser - aber nicht der eigentliche Verursacher - ist eine Kritik des bekannten US-Arztes Dr. Philip McMillan an der Zulassung des neuen mRNA-Grippeimpfstoffs von Moderna. Meine Frage: Warum nur stellen selbst kritische Experten so selten die richtigen Fragen zur Sicherheit und Wirksamkeit? https://tolzin.substack.com/p/beim-neuen-mrna-grippei…
Signed Hans U. P. Tolzin
ES IST OFFIZIELL: Mit einem Federstrich und flankiert von RFK Jr. legt Präsident Trump einen neuen US-Impfplan fest, der die Anzahl der Impfungen von 72 auf 11 reduziert – und diese auf mehrere Termine verteilt, anstatt das Kind auf einmal mit Impfungen zu überhäufen. „Das ist in meinen Augen eine große Sache!“ MAHA ist lebendig und wohlauf! 🇺🇸 https://x.com/i/status/2086896558306443561 @Qanalwwg1wga
Signed Phine
https://www.vita-et-veritas.com/medizin-und-wissenschaft/#330cb1ba-e0f6-4f5c-a2a2-e42dcc20b4ad
Signed Phine
--> Ralf Tillenburgs "Lehrbuch zur Behandlung von Schäden der Corona Gen-Injektion", Teil 29 --> Rest-DNA in Covid-Impfstoffen: Woher kommen die unterschiedlichen Ergebnisse? --> USA: Blendet der Strategieplan zur Autismusforschung systematisch Impfungen als Ursache aus? --> Was für einen Zusammenhang zwischen Paracetamol und der Entstehung von Autismus spricht https://tolzin.substack.com/p/tageszusammenfassung-fur-…
Signed Hans U. P. Tolzin
--> Ivermectin-Behandlung: Niederländische Ärzten drohten bis zu 150.000 Euro Strafe --> Was könnte Erdnuss-Allergien mit Impfungen zu tun haben? https://tolzin.substack.com/p/tageszusammenfassung-fur-samstag-ba0
Signed Hans U. P. Tolzin
--> Endlich Vergleich von mRNA mit Placebogruppe? Pustekuchen! --> Gates-Stiftung finanziert die weltweit erste Erzeugung von synthetischen Viren mittels KI https://tolzin.substack.com/p/tageszusammenfassung-fur-freitag-c26
Signed Hans U. P. Tolzin
Showing the 12 most recent of 43 posts we hold for @impfschadencorona. 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 — 784,692 of 1,481,243entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Impfschaden Coronaimpfstoffe” (@impfschadencorona), 10,416 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/impfschadencorona.
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.