Other / unclassifiable — 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 18 September 2026 and assigned it the closest of 31 fixed categories, at 57% 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
14 measurements spanning 40 days, net -34. 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 1,119–1,163 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 22:00
1,124
-3
12 Sept 2026, 23:38
1,127
-3
8 Sept 2026, 23:59
1,130
-10
3 Sept 2026, 20:38
1,140
-6
31 Aug 2026, 07:37
1,146
-2
28 Aug 2026, 02:13
1,148
+2
24 Aug 2026, 20:17
1,146
-2
21 Aug 2026, 12:35
1,148
-1
18 Aug 2026, 13:48
1,149
-4
15 Aug 2026, 04:25
1,153
-1
11 Aug 2026, 10:37
1,154
-3
8 Aug 2026, 17:42
1,157
-1
7 Aug 2026, 23:34
1,158
no change
7 Aug 2026, 18:01
1,158
first reading
Engagement
7 posts held, back to 17 July 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 1 page 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 7 posts for this entry, the most recent from 31 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
38s
Average length
19s
Measured directly from 2 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
581 reactions across 7 posts, in 11 distinct kinds. The most used accounts for 25.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
150
25.8%
👍
111
19.1%
🔥
107
18.4%
❤🔥
105
18.1%
🤗
43
7.40%
👌
21
3.61%
💯
13
2.24%
😍
11
1.89%
👏
9
1.55%
🥰
8
1.38%
👎
3
0.516%
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 7 of the 7 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 581 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 17 July 2026 to 31 July 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.
Рабочий день в Estet Dent в самом разгаре!
Каждый день мы заботимся о здоровье и красоте ваших улыбок. Ждём вас на приёме за профессиональным уходом, комфортной атмосферой и отличным настроением!
Кстати, вы уже сейчас можете записаться на бесплатную консультацию: наши специалисты ответят на все ваши вопросы, проведут осмотр и помогут подобрать оптимальное решение для вашей улыбки.
Запись:
Телефон: +7 (951) 591-90-…
Всего 3-4 месяца и улыбка становится совершенно другой!
Посмотрите на результат лечения на Inman элайнерах. Уже спустя 3 месяца заметны значительные изменения, а полный курс занял всего 4 месяца.
Доктор Капил провёл по-настоящему ювелирную работу:
1) Идеально выровнял передние зубы с помощью Inman элайнеров.
2) Сохранил все зубы, включая зубы мудрости.
3) Создал естественную, гармоничную улыбку без брекетов.
Кажды…
Улыбка, которая отражает вас
Исправление прикуса - это не только про ровные зубы. Это про гармонию лица, естественную мимику и уверенность в своей улыбке.
В нашей клинике Estet Dent доктор Капил Кхурана подходит к лечению комплексно. При планировании результата он учитывает не только особенности прикуса, пропорции лица и функциональность, но и психологический портрет пациента.
Почему это важно?
Улыбка - часть наш…
Сегодня мы хотим наглядно показать, как проходит день нашего специалиста в зуботехнической лаборатории.
Лаборатория в Москве является филиалом дубайской лаборатории, которая работает на 19 стран мира, в том числе Швеция, Швейцария, Италия и Франция. Здесь бережно создаются коронки, виниры, элайнеры и другие конструкции.
Благодаря тому, что головной офис в Дубае, то у нас всегда есть оригинальные материалы и тесное …
Результат лечения на Inman элайнерах спустя 3 месяца.
Inman элайнеры - это быстрый и эффективный способ выровнять передние зубы без брекетов.
Почему стоит выбрать этот способ лечения?
1) Добиться улыбки мечты можно за 3-4 месяца
2) Без удаления восьмерок
3) Производство происходит в Дубае
4) Европейская запатентованная технология
5) Лечение от 13 300 рублей в месяц
Для более подробной информации вы можете записат…
Своя лаборатория - это не просто удобство. Это уверенность в результате.
Когда все этапы создания будущей улыбки проходят под контролем одной команды, качество становится предсказуемым.
Собственная зуботехническая лаборатория позволяет нам:
1) Быстрее изготавливать ортодонтические конструкции;
2) Тщательно контролировать каждый этап производства;
3) Использовать современные технологии и материалы;
4) Добиваться то…
Inman-элайнеры - максимум результата, минимум дискомфорта
Главная особенность системы Inman элайнеры:
1) Максимум результата за 3-4 месяца ношения;
2) Без удаления восьмерок;
3) Носить всего 16 часов в день;
4) Безопасно для эмали;
5) Можно снимать перед важными событиями
Красивая улыбка начинается с правильного плана лечения. Запишитесь на консультацию - подберём оптимальный вариант именно для вас.
Запись по тел…
❤16🔥16👍15😍11👏3
Showing the 7 most recent of 7 posts we hold for @drkapil. 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.
Mentions
Named by 2 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.
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.
Голый землекоп @kolm_zemlekop · 84,570 Telegram ranks this channel #59 of 70 here — alongside 69 others — read 29 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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.
“Стоматолог | Dr. Kapil Khurana” (@drkapil), 1,124 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/drkapil.
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.
