Channel
@orthomedico
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1,135subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001211384405 |
|---|---|
| Type | Channel |
| Username | @orthomedico |
| Created | Between 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 14 August 2026 |
| On Telegram | t.me/orthomedico |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 18:34 | 1,135 | -2 |
| 7 Aug 2026, 04:46 | 1,137 | no change |
| 7 Aug 2026, 04:33 | 1,137 | first reading |
20 posts held, back to 28 January 2022 — 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.
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 5 November 2024. An engagement rate over an empty window would be a number about nothing.
Die US-Regierung, nicht Pfizer oder Moderna, hat die mRNA-Technologie zuerst erdacht (vertonte Version hier) Im Jahr 2012 begann die DARPA, in genkodierte Impfstoffe zu investieren. "Das Militär kam also auf die Idee mit den Boten-RNA-Impfstoffen, nicht Pfizer oder Moderna - nicht Warp-Speed", erklärt Dr. McCullough. "Dies ist ein militärisches Programm." Dr. Peter McCullough ist ein angesehener Arzt und einer der…
Könntest du bitte dieses Video in deine Kontakte reinstellen in denen du bist, wäre dir sehr dankbar🫵🏻 Es ist sehr wichtig, dass dieses Video grosse Kreise zieht, dass vor allem die Bauern dies zu wissen bekommen. 🙏
U.S. Law Enforcement Trained To Police Civilians By The I.D.F. Causes Of Police Brutality Israel Trains US Law-Enforcement In Counter-Terrorism: https://www.timesofisrael.com/israel-trains-us-law-enforcement-in-counter-terrorism/ Be Very Afraid - IDF Training US Police: https://www.mintpressnews.com/israeli-forces-u-s-police-training-together/243461/ US Police Regularly Trained By Israeli Military: https://www.tel…
Craniomandibuläre Dysfunktion (German Edition) Ridder, Paul
Video, posted without a caption
https://vimeo.com/862806716?share=copy
Plötzlich & Unerwartet! Übersterblichkeit beiSportlern - Am Beispiel von Jo Lindner.
https://youtu.be/VuZDBasRrs8
Video, posted without a caption
Photo, posted without a caption
File, posted without a caption
File, posted without a caption
Showing the 12 most recent of 20 posts we hold for @orthomedico. 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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Ortomedico.de - medizinische Onlinesprechstunde” (@orthomedico), 1,135 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/orthomedico.
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.