Channel
@Doctorsforcovidethics
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
5,553subscribers
-91 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001644815847 |
|---|---|
| Type | Channel |
| Username | @Doctorsforcovidethics |
| Created | 22 November 2021 — 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/Doctorsforcovidethics |
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 13 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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, 12:22 | 5,553 | -8 |
| 14 Sept 2026, 09:17 | 5,561 | -4 |
| 11 Sept 2026, 03:39 | 5,565 | -10 |
| 6 Sept 2026, 14:59 | 5,575 | -5 |
| 2 Sept 2026, 01:26 | 5,580 | -12 |
| 30 Aug 2026, 04:58 | 5,592 | -6 |
| 27 Aug 2026, 14:44 | 5,598 | -7 |
| 24 Aug 2026, 07:14 | 5,605 | -9 |
| 20 Aug 2026, 23:33 | 5,614 | -3 |
| 18 Aug 2026, 09:12 | 5,617 | -7 |
| 15 Aug 2026, 04:45 | 5,624 | -2 |
| 12 Aug 2026, 06:58 | 5,626 | -8 |
| 9 Aug 2026, 08:02 | 5,634 | -10 |
| 6 Aug 2026, 10:32 | 5,644 | no change |
| 6 Aug 2026, 09:54 | 5,644 | first reading |
20 posts held, back to 4 June 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 8 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
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.
137 reactions across 18 posts, in 10 distinct kinds. The most used accounts for 29.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💯 | 40 | 29.2% | |
| 👍 | 38 | 27.7% | |
| ❤ | 32 | 23.4% | |
| 🔥 | 16 | 11.7% | |
| 👏 | 5 | 3.65% | |
| ⚡ | 2 | 1.46% | |
| 👀 | 1 | 0.73% | |
| 💔 | 1 | 0.73% | |
| 😡 | 1 | 0.73% | |
| 😢 | 1 | 0.73% |
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 19 of the 20 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 137 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 4 June 2026 to 8 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.
Despite known safety concerns, the FDA has approved Moderna’s mFlusiva for adults ages 50 and older. Read more on CHD's The Defender: https://childrenshealthdefense.org/defender/fda-approves-first-mrna-flu-vaccine-despite-safety-concerns-moderna/
⚡2👀1💔1😡1
Christian Oesch trifft Leland Lehrman in Washington, D.C. Christian Oesch und Leland Lehrman, der als Berater im Umfeld von Robert F. Kennedy Jr. tätig ist, arbeiten seit Langem gemeinsam an dem Projekt „Ärzte mit Gewissen“. Ziel des Projekts ist es, die Geschichten von Ärzten, Wissenschaftlern und anderen Fachleuten zu dokumentieren, die nach ihrer Auffassung während der Corona-Zeit ausgegrenzt oder verfolgt wurden…
❤3
https://michaelpalmer.substack.com/p/the-cloven-hoof-of-lipid-nanoparticles
🔥4
'Better late than not at all.' As of last week, Germany is no longer recommending COVID-19 shots for healthy people under age 75, including pregnant women. Read more on CHD's The Defender: https://childrenshealthdefense.org/defender/germany-ends-covid-vaccine-recommendation-for-healthy-people/
👏5
Another doctor speaks out! During Covid, the hospitals were "KILLING FIELDS." The "unvaccinated" were treated like "DIRTY PLAGUE RATS" "100% [the 'unvaccinated'] were treated differently. You were treated as a dirty plague rat" "[After Covid] I think most people came to see that the hospitals were really killing fields" "After Covid, most people realized their doctors were there for themselves. Their doctors were …
❤8👍5
https://therealcdc.com/
👍3
War strategies and behavior modifications in the information age John Beaudoin has done some of the most incisive and original investigative work on the COVID file. In this video, John gives his perspective on these past years, and also on the way forward.
👍4❤1🔥1
Dear Friends, dear Michael, thanks for the brilliant essay, to which I would like to contribute one remark. This pertains to the complement-activating, pro-inflammatory properties of the LNPs. Known to few is the fact that a down-regulatory element exists in mouse plasma that puts a strong break on complement activation. That is the reason why the lethal effects of endotoxin cannot be readily demonstrated in these an…
👍5❤3
https://michaelpalmer.substack.com/p/why-any-and-all-future-mrna-vaccines
🔥2
https://michaelpalmer.substack.com/p/outbreak-ii-attack-of-the-nanobots
🔥5
#RichtigErinnern Traurige Bilder aus dem Nachbarland. Mit Schlagstöcken gegen Senioren und friedliche Demonstranten. Wer hatte die Gleichschaltung der westlichen Corona-Reaktion letztendlich orchestriert, was denkt ihr? Die Holländer wollen jedenfalls ebenso nicht vergessen. t.me/Rosenbusch
🔥4❤1😢1
https://thehighwire.com/ark-videos/aaron-siri-at-the-kennedy-center-a-turning-point-for-informed-consent/
Showing the 12 most recent of 20 posts we hold for @Doctorsforcovidethics. 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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“Doctors For Covid Ethics Channel” (@Doctorsforcovidethics), 5,553 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Doctorsforcovidethics.
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.