Telegram RegisterThe public register of Telegram
Telegram profile photo for Ортопедия без мракобесия от Софии Геворгиз

Channel

Ортопедия без мракобесия от Софии Геворгиз

@EBMortho

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

1,526subscribers

-4 since we began measuring on 4 September 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001726431932
TypeChannel
Username@EBMortho
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded5 September 2026
Last confirmed live16 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/EBMortho

Growth

1,5261,5311,528.54 September 2026 — 1,530 subscribers5 September 2026 — 1,530 subscribers8 September 2026 — 1,531 subscribers12 September 2026 — 1,528 subscribers16 September 2026 — 1,526 subscribers4 September 202616 September 2026
5 measurements spanning 11 days, net -4. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,525–1,532 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 02:191,526-2
12 Sept 2026, 01:001,528-3
8 Sept 2026, 00:211,531+1
5 Sept 2026, 00:221,530no change
4 Sept 2026, 23:471,530first reading

Engagement

9 posts held, back to 12 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.5%
avg views ÷ 1,526 subscribers
Avg views / post
191
3 posts measured
Reaction rate
3.83%
reactions ÷ views · ER floor
Posts in window
3
of 9 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 September 2026
Posts held9 (12 August 20264 September 2026)
Views total574
Reactions total22
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Sept 2026, 00:22 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.

Reaction mix

60 reactions across 9 posts, in 5 distinct kinds. The most used accounts for 46.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2846.7%
1931.7%
💅1016.7%
🥰23.33%
👍11.67%

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 9 of the 9 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 60 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 12 August 2026 to 4 September 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.

Recent posts

4 Sept 2026, 14:40 UTC97 views2 reactionsread 5 September 2026
Forwarded from @mamadocproPhoto

🏫 Первая неделя школы позади! Но организм ребенка еще только привыкает к новому ритму. Ранние подъемы, несколько часов за партой, домашние задания, меньше движения, другой режим сна и питания — даже если ребенок рад вернуться в школу, такая перестройка требует времени. Вместе с коллегами из Клиники СПбГУ собрали несколько вещей, которые помогут пройти первые школьные недели спокойнее 🤍

2

2 Sept 2026, 17:49 UTC234 views8 reactionsread 5 September 2026

девочки, а может и мальчики, пользуйтесь 🩷 хайлайтер румяна невероятные средства для легкого макияжа я в восторге

5🔥3

2 Sept 2026, 07:03 UTC243 views12 reactionsread 5 September 2026
Video message

Video message, posted without a caption

💅10🥰2

17 Aug 2026, 06:59 UTC428 views3 reactionsread 5 September 2026
Forwarded from @mamadocproPhoto

❗️КОНФЕРЕНЦИЯ “ВМЕСТЕ О ДЕТЯХ”❗️ 📅26-27 сентября 2026 Пространство Freedom (ул. Казанская, д. 7) До конференции при поддержке АНО «Коллективный иммунитет» осталось совсем немного времени, так что скорее определяйтесь с форматом участия: очно или онлайн, и присоединяйтесь к нашему коммьюнити Мамадок💗 📍БИЛЕТЫ: https://www.mamadoc.pro/conferencespb

2👍1

17 Aug 2026, 06:59 UTC313 views5 reactionsread 5 September 2026

⚡️очередная невероятная конференция, где я расскажу врачам, кем и как они могут работать, если больше не хотят быть врачами :) приходите

5

13 Aug 2026, 06:41 UTC373 views9 reactionsread 5 September 2026
Video message

Video message, posted without a caption

🔥9

13 Aug 2026, 06:37 UTC370 views7 reactionsread 5 September 2026
Video message

Video message, posted without a caption

🔥7

13 Aug 2026, 06:35 UTC393 views9 reactionsread 5 September 2026
Video message

Video message, posted without a caption

🔥9

12 Aug 2026, 17:42 UTC428 views5 reactionsread 5 September 2026
Video message

Video message, posted without a caption

5

Showing the 9 most recent of 9 posts we hold for @EBMortho. 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.

Forward network

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.

Appears in Telegram’s recommendations for other channels

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.

Невролог Стецкая Татьяна | ️doctor_steckaya 💊🩺
@doctor_steckaya · 32,757
Telegram ranks this channel #27 of 96 here — alongside 95 others — read 4 September 2026
👋Osokina_doc детский стоматолог
@osokina_doc · 29,487
Telegram ranks this channel #29 of 81 here — alongside 80 others — read 9 September 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

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 September 2026 — this entry's latest reading, not the date you are reading this.

“Ортопедия без мракобесия от Софии Геворгиз” (@EBMortho), 1,526 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/EBMortho.

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.