Education — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 71% 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.
Growth
45 measurements spanning 78 days, net +20,261. 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 15,528–50,828 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 45
Measured (UTC)
Subscribers
Change
24 Oct 2026, 19:27
39,866
-23
23 Oct 2026, 17:09
39,889
-2
22 Oct 2026, 17:06
39,891
-16
21 Oct 2026, 13:39
39,907
-6,848
20 Oct 2026, 10:39
46,755
+7,389
19 Oct 2026, 13:39
39,366
+1,997
18 Oct 2026, 11:15
37,369
+3,135
17 Oct 2026, 14:39
34,234
+3
16 Oct 2026, 12:39
34,231
+1
15 Oct 2026, 14:06
34,230
+13
14 Oct 2026, 11:05
34,217
+11
12 Oct 2026, 22:41
34,206
+30
8 Oct 2026, 13:16
34,176
+42
4 Oct 2026, 04:59
34,134
+647
25 Sept 2026, 09:01
33,487
+2,084
19 Sept 2026, 00:02
31,403
+10
16 Sept 2026, 17:01
31,393
+5
14 Sept 2026, 17:17
31,388
+2
13 Sept 2026, 03:00
31,386
+4
11 Sept 2026, 05:15
31,382
first reading
Engagement
81 posts held, back to 2 August 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 145 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.58%
avg views ÷ 39,866 subscribers
Avg views / post
1,430
19 posts measured
Reaction rate
0.965%
reactions ÷ views · ER floor
Posts in window
19
of 81 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
Window
Rolling 30 days · latest post in window 23 October 2026
Posts held
81 (2 August 2026 – 23 October 2026)
Views total
27,143
Reactions total
262
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Oct 2026, 12:09 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.
What this channel posts
Video runtime
21m 38s
Average length
1m 02s
Measured directly from 21 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.
Reaction mix
922 reactions across 81 posts, in 13 distinct kinds. The most used accounts for 38.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
350
38.0%
❤
316
34.3%
👍
174
18.9%
👏
40
4.34%
👌
15
1.63%
❤🔥
11
1.19%
🙏
4
0.434%
🤝
4
0.434%
💯
2
0.217%
🤯
2
0.217%
🥰
2
0.217%
🏆
1
0.108%
🥱
1
0.108%
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 81 of the 81 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 922 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 81 most recent posts we hold, published 2 August 2026 to 23 October 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.
Advertising
Ad load
16.0%
13 of 81 posts carry an ad marker
Regulatory tokens
13
posts carrying an erid · 13 distinct tokens
Median views · ads
883
over 13 measured posts
Median views · rest
1,030
over 68 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2SDnjc1GS6k
1
20 September 2026
20 September 2026
2SDnjcGfHA2
1
1 September 2026
1 September 2026
2SDnjcfxpRb
1
4 September 2026
4 September 2026
2SDnjdYgun3
1
23 September 2026
23 September 2026
2SDnjdoPSWe
1
28 August 2026
28 August 2026
2SDnjdpdfai
1
21 August 2026
21 August 2026
2SDnjdsm3Z4
1
25 August 2026
25 August 2026
2SDnjeSPgsN
1
7 October 2026
7 October 2026
2VtzqvLXivX
1
12 August 2026
12 August 2026
2W5zFJ4KBcD
1
6 August 2026
6 August 2026
2W5zFJpj8gH
1
25 August 2026
25 August 2026
2W5zFK43LaV
1
21 August 2026
21 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it. 1 further token is held for this entry and not listed here.
Measured over the 81 most recent posts we hold, published 2 August 2026 to 23 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
✨Любите ли вы верхние премоляры как люблю их я?
На моём опыте это зубы, которые ломаются чаще всего, даже будучи витальными. Их кстати перед этим ни один эндодонтист грешным делом не расширяет.
Что надо знать о доступе к их сложной вариации - три канала.
Вот их верные названия: мезиально-щёчный, дистально-щёчный и небный.
• привычный нам овальный доступ становится треугольным.
Вообще советую при малейшем смешении п…
✨Пульпотомия или поиск устьев корневых каналов (цели разные - последовательность одинаковая).
1. Заранее детально изучи клкт
2. Стоит убрать весь кариес - точки вскрытия будут ориентирами
3. Нужно видеть, что делаешь - я использую шарик на длинной ножке для трепанации пульповой камеры
4. Не дави на бор по дну полости
5. Терпение и труд - все перетрут.🤝
Автор Павел Климихин
✨Диагностика боли диагностикой, а лечение должно быть без неё.
Я вижу огромное количество способов сделать «безболезненный вкол», но сама много лет использую две очень простые вещи: аппликационную анестезию и механическое воздействие в момент введения иглы.
И мне кажется, часть новых способов появилась потому, что эти две методики часто используют неправильно, а потом признают неэффективными.
Аппликационная анесте…
❗️❗️❗️❗️❗️
Уважаемые коллеги!
В связи с блокировкой Telegram мы создали каналы в MAX.
📲 КАНАЛ СТОМАТОЛОГИЯ | DENTISTRY
📲ВЛАДЕЛЬЦЫ СТОМАТОЛОГИЙ
📲ОРТОПЕДИЧЕСКАЯ СТОМАТОЛОГИЯ И ГНАТОЛОГИЯ
📲ХИРУРГИЧЕСКАЯ СТОМАТОЛОГИЯ И ИМПЛАНТОЛОГИЯ
📲ТЕРАПЕВТИЧЕСКАЯ И ЭСТЕТИЧЕСКАЯ СТОМАТОЛОГИЯ
📲ДЕТСКАЯ СТОМАТОЛОГИЯ
📲ПАРОДОНТОЛОГИЯ И ПАТОЛОГИЯ СЛИЗИСТОЙ РТА
📲ОРТОДОНТИЯ
📲ЧЕЛЮСТНО-ЛИЦЕВАЯ ХИРУГИЯ
📲ЗУБНЫЕ ТЕХНИКИ
📲СТОМАТОЛОГИЧЕСКИ…
✨Одна из любимых ускоренных техник моделирования нижнего шестого.
Пять засветок и оптимальная детализация готова.
Щечные бугры - опорные, поэтому менее детализированные. Язычные - направляющие с богатой анатомией.
Другие зоны принято решение пока не пролечивать.
Автор Анна Зубкова
Что будет с приемами в клинике, если МИС перестанет работать?
Коллеги, мы сочувствуем командам клиник, которые столкнулись со сбоями и трудностями с доступом к данным. Понимаем, как непросто вести бизнес, когда привычные инструменты становятся недоступны.
⚙️ Но приемы продолжаются. Администраторам нужно работать с расписанием, врачам — видеть истории лечения, руководителям — контролировать показатели. Все эти процес…
✨На мой взгляд , минимально инвазивная эндодонтия самое интересное явление в стоматологии в наше время .
Большое количество хейта обусловлено отдаленностью от мировых трендов и разработок .
Позволю себе внести вклад в эту тему .
Фаза врабатываемости , устойчивой производительности , срыва и прорыва в менеджменте эндопроцедур это то, чему нас учили на третьем курсе медицинского института.
Доступы в концепции MIE э…
✨Апикальная хирургия зуба 2.5, 10.2022
Контроль 05.2026, через 3,5 года на последних двух реформатах.
Автор Александр Миловидов
❤10🔥5
Showing the 12 most recent of 81 posts we hold for @stom_ter. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Mentions
Named by 8 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Книги по стоматологии | Dental books | Стоматология @stomkniga · 41,219#1
Dental videos | Стоматологические видео | Стоматология @stom_video · 39,544#2
Read from Telegram’s recommendation API, most recently 6 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Книги по стоматологии | Dental books | Стоматология @stomkniga · 41,219 Telegram ranks this channel #2 of 81 here — alongside 80 others — read 6 September 2026
Научная стоматология | Dental science @sciencedent · 22,912 Telegram ranks this channel #3 of 79 here — alongside 78 others — read 19 September 2026
Владельцы и руководители стоматологий | Стоматология @glavstom · 20,977 Telegram ranks this channel #3 of 71 here — alongside 70 others — read 19 September 2026
Стоматология | Dentistry @rznstom · 47,114 Telegram ranks this channel #3 of 83 here — alongside 82 others — read 6 September 2026
Dental videos | Стоматологические видео | Стоматология @stom_video · 39,544 Telegram ranks this channel #4 of 78 here — alongside 77 others — read 6 September 2026
Dentist @dentistinfo · 22,115 Telegram ranks this channel #11 of 73 here — alongside 72 others — read 21 September 2026
Стоматология (Dentistry) @CreativeDentistry · 20,258 Telegram ranks this channel #15 of 81 here — alongside 80 others — read 28 September 2026
Stom Journal | Стоматология @stom_journal · 24,676 Telegram ranks this channel #15 of 83 here — alongside 82 others — read 15 September 2026
how_to_dent | Прокопович Виктор @how_to_dent · 19,692 Telegram ranks this channel #21 of 82 here — alongside 81 others — read 30 September 2026
Dental Books Free @M_Dental_Books · 23,812 Telegram ranks this channel #37 of 74 here — alongside 73 others — read 18 September 2026
The dental books library 🦷📚 @thedentists · 51,814 Telegram ranks this channel #58 of 69 here — alongside 68 others — read 25 August 2026
Dentistry Online Books and videos @dentistry_online · 42,591 Telegram ranks this channel #65 of 65 here — alongside 64 others — read 29 August 2026
This channel appears in 13 seed channels' Telegram-generated recommendation lists in total, of which the 12 where it ranks highest are shown above. 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 24 October 2026 — this
entry's latest reading, not the date you are reading this.
“Терапевтическая и Эстетическая стоматология | Endodontia and Apical Surgery” (@stom_ter), 39,866 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/stom_ter.
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.