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 12 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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 the other topics.
Growth
20 measurements spanning 86 days, net +152. 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 6,885–7,083 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
1 Nov 2026, 15:55
7,060
+4
26 Oct 2026, 02:10
7,056
+6
23 Oct 2026, 07:39
7,050
+5
20 Oct 2026, 13:31
7,045
+6
17 Oct 2026, 20:00
7,039
+3
14 Oct 2026, 22:58
7,036
+2
12 Oct 2026, 00:56
7,034
+14
5 Oct 2026, 06:59
7,020
+28
26 Sept 2026, 13:00
6,992
+19
13 Sept 2026, 18:20
6,973
+2
9 Sept 2026, 16:36
6,971
+18
4 Sept 2026, 15:14
6,953
+11
31 Aug 2026, 22:07
6,942
+6
29 Aug 2026, 05:26
6,936
+5
26 Aug 2026, 10:44
6,931
+6
23 Aug 2026, 17:15
6,925
+6
20 Aug 2026, 12:54
6,919
+6
17 Aug 2026, 15:56
6,913
+5
7 Aug 2026, 23:36
6,908
no change
7 Aug 2026, 13:02
6,908
first reading
Engagement
19 posts held, back to 9 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 14 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
17.3%
avg views ÷ 7,060 subscribers
Avg views / post
1,220
3 posts measured
Reaction rate
6.13%
reactions ÷ views · ER floor
Posts in window
4
of 19 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 29 October 2026
Posts held
19 (9 June 2026 – 29 October 2026)
Views total
3,670
Reactions total
225
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 13:51 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
Photos
≈1,760
Videos
≈297
Links
≈71
Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
43m 09s
Average length
6m 10s
Measured directly from 7 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
873 reactions across 16 posts, in 10 distinct kinds. The most used accounts for 64.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
564
64.6%
❤
163
18.7%
👍
81
9.28%
⚡
42
4.81%
❤🔥
15
1.72%
🌭
2
0.229%
👏
2
0.229%
🤝
2
0.229%
🏆
1
0.115%
🐳
1
0.115%
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 16 of the 19 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 873 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 9 June 2026 to 29 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 4 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Выкладываю кейс, как обещал 🙌🏻
Изначально план был просто удалить зуб и выполнить консервацию лунки графтом - отличная поэтапная тактика, комфортная имплантация после, но через 6 месяцев, а потом снова ждать интеграцию. Слишком долго…да и не известно сколько раз за это время внепланово придется подклеивать зуб в эстетически значимой зоне.
За счет навигации, точной позиции импланта и костного блока - снова получило…
Проверка связи…Давно не виделись!👋🏻
Зуб 2.1 резорбция корня и перелом. Прикус и костное предложение как всегда прекрасны) Пару лайков ставите вы, а я ставлю сюда имплант одномоментно) анестезию уже сделали!
Как думаете какие особенности тут важно учесть? Для интереса попробуйте нарисовать позицию на снимке, как будто это ваш пациент 👀
«ВСЕ НА 6» В ЦИФРЕ
В этом видеоролике очень подробно показал и рассказал, как можно реализовать тотальную работу на имплантах с использованием внутриротовой фотограмметрии.
А тех, кому цифра не по душе в ролике ждут разные фишки.
Лаборатория МанРо
Навигация Антон Королев
Хирургия Юра Хасратьянц
Импланты JDental
Сканер Shining Elit
PS.: 👆🏻вот эти ребята заслужили ваши 🔥
Аналоговых работ на 4 становится все меньше, но они не исчезают из расписания. Возраст, показания к FP3, ограниченный бюджет и мы снова вспоминаем отработанный годами протокол 🩸
БЛИЖАЙШИЕ УЧЕБНЫЕ МЕРОПРИЯТИЯ
8 ноября Санкт-Петербург Тотальные работы на имплантах +7 (911) 946-08-46
21 ноября г.Худжанд
Синус-лифтинг
+992999270047
Кейсы как есть: 14+ хирургов показывают удачи, осложнения и объясняют свой выбор
URC24, 12 декабря. Офлайн в Москве, отель «Монарх», и онлайн-трансляция.
Один день разборов по регенеративной хирургии. Хирурги, у которых ты хотел бы спросить: «А почему именно так?»
Спикеры: Максим Копылов, Дмитрий Юдин, Юрий Хасратьянц, Сергей Конуркин, Сергей Белов, Михаил Трифонов, Мария Сенькова, Алексей Рябов, Александр Борцов,…
Коллеги, 12 декабря буду принимать участие в интересном мероприятии, почитайте состав лекторов, которых представлять точно не нужно! Все подробности ниже👇🏻
Приветствую, коллеги! 👋🏻
Сегодня поделюсь несложным кейсом, где планирование, выбор имплантов, навигация и пластика мягких тканей - делает нашу практику простой рутиной. Подробней на видео в третьем слайде 🙌🏻
ВИДЕО РАЗБОР КЛИНИЧЕСКОГО СЛУЧАЯ
Не тотал на имплантах, что в наши дни уже редкость с такими условиями)
На видео показал как на имплантах 4.1х4 получил торк более 35H/см, разобрал операцию на верхней челюсти с открытым синусом и одномоментной имплантацией и другие особенности на этапах лечения.
Приятного просмотра! 🍿
И забывайте про реакции 🔥
Коллеги, всем привет! 👋🏻
Клинический случай использования короткого TL импланта Straumann SP 4.1х4 в качестве альтернативы костной пластики или тотальной реабилитации.
Пару вопросов вам для интереса:
1. Как думаете какой торк на коротышах поймал?
2. Что значит буква М выложенная из трансплантатов? 😁
Чуть позже поделюсь разбором и покажу видео этой операции 📽️
А пока дайте реакцию на кейс🔥
🔥50❤10👍5⚡1
Signed Юрий Хасратьянц
Showing the 12 most recent of 19 posts we hold for @dr_khasratyants. 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.
Mentions
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.
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.
how_to_dent | Прокопович Виктор @how_to_dent · 19,683 Telegram ranks this channel #4 of 82 here — alongside 81 others — read 30 September 2026
Научная стоматология | Dental science @sciencedent · 22,712 Telegram ranks this channel #14 of 79 here — alongside 78 others — read 19 September 2026
Dental videos | Стоматологические видео | Стоматология @stom_video · 32,728 Telegram ranks this channel #15 of 78 here — alongside 77 others — read 6 September 2026
Книги по стоматологии | Dental books | Стоматология @stomkniga · 41,068 Telegram ranks this channel #15 of 81 here — alongside 80 others — read 6 September 2026
Терапевтическая и Эстетическая стоматология | Endodontia and Apical Surgery @stom_ter · 33,186 Telegram ranks this channel #16 of 80 here — alongside 79 others — read 6 September 2026
Dentist @dentistinfo · 22,075 Telegram ranks this channel #20 of 73 here — alongside 72 others — read 21 September 2026
Стоматология (Dentistry) @CreativeDentistry · 20,247 Telegram ranks this channel #22 of 81 here — alongside 80 others — read 28 September 2026
Стоматология | Dentistry @rznstom · 41,179 Telegram ranks this channel #42 of 83 here — alongside 82 others — read 6 September 2026
Владельцы и руководители стоматологий | Стоматология @glavstom · 20,662 Telegram ranks this channel #45 of 71 here — alongside 70 others — read 19 September 2026
Orthodontic Books and Lectures @orthobooks · 27,478 Telegram ranks this channel #48 of 59 here — alongside 58 others — read 11 September 2026
🇾🇪Dental Books and Articles🇵🇸 🇾🇪كتب ومقالات طب الأسنان🇵🇸 @Drbooks · 23,624 Telegram ranks this channel #51 of 58 here — alongside 57 others — read 18 September 2026
Stom Journal | Стоматология @stom_journal · 24,620 Telegram ranks this channel #56 of 83 here — alongside 82 others — read 15 September 2026
This channel appears in 12 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 1 November 2026 — this
entry's latest reading, not the date you are reading this.
“Dr.Khasratyants” (@dr_khasratyants), 7,060 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/dr_khasratyants.
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.