coronawahrheit 🦠
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Channel
@coronawahrheit
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
8,759subscribers
-97 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001211665686 |
|---|---|
| Type | Channel |
| Username | @coronawahrheit |
| Created | 15 April 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/coronawahrheit |
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 87% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 23:56 | 8,759 | -6 |
| 14 Sept 2026, 10:21 | 8,765 | -12 |
| 10 Sept 2026, 22:18 | 8,777 | -12 |
| 6 Sept 2026, 01:41 | 8,789 | -20 |
| 1 Sept 2026, 21:34 | 8,809 | -1 |
| 29 Aug 2026, 16:44 | 8,810 | -4 |
| 26 Aug 2026, 17:14 | 8,814 | -16 |
| 23 Aug 2026, 09:58 | 8,830 | -8 |
| 19 Aug 2026, 20:03 | 8,838 | -2 |
| 16 Aug 2026, 16:38 | 8,840 | -6 |
| 13 Aug 2026, 04:15 | 8,846 | -14 |
| 10 Aug 2026, 04:41 | 8,860 | +5 |
| 6 Aug 2026, 21:10 | 8,855 | -1 |
| 6 Aug 2026, 10:17 | 8,856 | no change |
| 6 Aug 2026, 09:49 | 8,856 | first reading |
57 posts held, back to 31 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 30 pages of 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 28 August 2026 |
|---|---|
| Posts held | 57 (31 July 2026 – 28 August 2026) |
| Views total | 6,577 |
| Reactions total | 141 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 16:12 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 27 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.
1,208 reactions across 57 posts, in 18 distinct kinds. The most used accounts for 32.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 398 | 32.9% | |
| 🤮 | 189 | 15.6% | |
| ❤ | 171 | 14.2% | |
| 🤬 | 105 | 8.69% | |
| 🔥 | 69 | 5.71% | |
| 👏 | 65 | 5.38% | |
| 💯 | 56 | 4.64% | |
| 🍾 | 45 | 3.73% | |
| 😱 | 22 | 1.82% | |
| 🙏 | 21 | 1.74% | |
| 😢 | 20 | 1.66% | |
| 👎 | 19 | 1.57% | |
| 🌭 | 14 | 1.16% | |
| 👀 | 5 | 0.414% | |
| 🤡 | 5 | 0.414% | |
| 🍌 | 2 | 0.166% | |
| 🥱 | 1 | 0.083% | |
| 🥴 | 1 | 0.083% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 57 of the 57 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1,208 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 57 most recent posts we hold, published 31 July 2026 to 28 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
coronawahrheit 🦠
👍8
Multiorganversagen, Herzschäden:🩸Nebenwirkungen nach Blutspenden von Covid-Geimpften? Eine neue Untersuchung beschäftigt sich mit möglichen Nebenwirkungen nach Bluttransfusionen von Covid-geimpften Spendern. Die Autoren berichten unter anderem über Blutgerinnsel, Herzschäden, Multiorganversagen und Todesfälle. Die Studie des US-Epidemiologen Nicolas Hulscher und seiner Kollegen wurde noch nicht wissenschaftlich begu…
🤬8🌭4🔥4🤮2❤1😢1
Was hat er für ein Menschen Bild 😳😡 Gestern Merz.😡😡 coronawahrheit 🦠
👍10🤮2
Kinderärztin Bea Merscher wirft März "menschenverachtende und zerstörerische Gesetze" vor. coronawahrheit 🦠
💯16👏7❤1
coronawahrheit 🦠
👍7
coronawahrheit 🦠
🤬8🤮2
Sie hören nicht auf 🤬🤬🤬🤬 coronawahrheit 🦠
🤬13🤮2🌭1
Stand: 26.08.2026 09:25 Uhr Der frühere Göttinger Anwalt und Corona-Skeptiker Rainer Fuellmich ist mit seiner Revision vor dem Bundesgerichtshof (BGH) weitgehend gescheitert. Er wurde nun rechtskräftig verurteilt, Spendengelder veruntreut zu haben. Das teilte der BGH am Dienstag mit. Der oberste Strafgerichtshof verwarf die Revision nicht vollständig: Statt ursprünglich geplanter 700.000 Euro würden nun rund 51…
👎9🤬7🤮5
😤 Morgens kribbelt die Nase, tagsüber tränen die Augen, abends bist du einfach nur erschöpft — jedes Jahr dasselbe Spiel, sobald die Pollen fliegen. Die üblichen Tabletten dämpfen die Symptome irgendwie, aber das Gefühl bleibt: Der Körper kämpft gegen etwas an, das er eigentlich in den Griff kriegen sollte. Es gibt etwas, das anders ansetzt: MSM — organischer Schwefel, wie ihn die Natur längst kennt. Während die mei…
👍2
Dr. Maaßen / Prof. Dr. Bhakdi: Straftatbestände der mRNA-Impfungen | "Justiz-Experte Dr. Maaßen und Medizin-Experte Prof. Bhakdi bringen die Straftatbestände der mRNA-Spritzen kurz und bündig auf den Punkt. Sie stellen sich damit in die Reihe fundierter Kapazitäten der Corona-Aufarbeitungsbewegungen. Ihr Fazit: Dahinter steckt ein internationales Verbrecherkartell, das gestoppt werden muss!!! coronawahrheit 🦠
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Der ÖRR forderte zu Zeiten der Plandemie vorfreudig den Einsatz von Schusswaffen gegen Menschen. Das will man natürlich jetzt nicht mehr so gern wahrhaben. Also wird die Erinnerung an die Verfehlungen der Coronisten von den "Faktencheckern" als Fehlinformation gekennzeichnet und zensiert. Sämtliche "Trusted Flagger" und "Faktenchecker" sind nichts anderes als staatlich aus Steuermitteln bezahlte Zensoren, deren e…
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Update Reiner Füllmich - LIVE aus der Zelle - Reaktion auf BGH Entscheid - 23.08.2026 bitteltv Sehr guter Beitrag zum anhören. coronawahrheit 🦠
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Showing the 12 most recent of 57 posts we hold for @coronawahrheit. 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.
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.
Named by 18 registered channels — 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Corona und mehr zum Thema Impfen” (@coronawahrheit), 8,759 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/coronawahrheit.
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.