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 6 October 2026 and assigned it the closest of 31 fixed categories, at 99% 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
7 measurements spanning 44 days, net +10. 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 616–629 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
2 Nov 2026, 13:48
627
+8
27 Oct 2026, 12:44
619
+1
21 Oct 2026, 09:41
618
-1
14 Oct 2026, 14:14
619
-2
6 Oct 2026, 03:58
621
+4
19 Sept 2026, 12:22
617
no change
19 Sept 2026, 11:47
617
first reading
Engagement
14 posts held, back to 22 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 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 14 posts for this entry, the most recent from 18 September 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
3m 08s
Average length
21s
Measured directly from 9 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
155 reactions across 13 posts, in 15 distinct kinds. The most used accounts for 42.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
66
42.6%
🔥
26
16.8%
❤🔥
11
7.10%
💯
10
6.45%
😁
8
5.16%
👍
7
4.52%
🍓
6
3.87%
custom 5353046954819462401
5
3.23%
custom 5249288524997346918
4
2.58%
😍
4
2.58%
🙏
3
1.94%
custom 5415722218569089767
2
1.29%
💘
1
0.645%
🙊
1
0.645%
🤩
1
0.645%
Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 13 of the 14 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 155 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 22 August 2026 to 18 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.
Нальчик, финальный шов 🪡
Завершили операционную неделю удалением имплантов после 12 ЛЕТ ИХ НОШЕНИЯ. И собрали красивую форму, использовав свой объем 💎
Спасибо коллегам за работу, городу — за тёплый приём. Хорошо поработали 🤝
ФӀыкӀэ дызэхуэзэ! Или до скорой встречи!🤍
За что я люблю якорную подтяжку на имплантах?
В одной операции мы решаем 2️⃣ противоположные задачи: уменьшаем кожный «чехол» и увеличиваем объём внутри.
Операция сложная. И это как раз тот случай, когда хирургическая придирчивость к деталям очень кстати. А придираться я люблю.
Что из этого получается — вы регулярно видите здесь 👌
Есть кто у меня из Нальчика?
График поездки плотный, основное время займут операции. Если хотите попасть на очную консультацию — напишите мне.
Думаю, получится выделить время на 1–2 консультации.
Знакомство с новой грудью 🤍
1 сутки после операции.
Один из страхов перед увеличением — что потом несколько дней «не сможешь даже встать с кровати».
В этом видео — как выглядят первые сутки: пациентка на ногах и чувствует себя отлично.
А её первые впечатления можете оценить сами 🔥
Пышной форме — да. Лишним разрезам — нет.
В этом случае обошлись без периареолярной подтяжки. Доступ — по нижнему краю ареолы. И внимание: высокопрофильные анатомы для той самой округлой, пышной формы 😏
Результат сразу после операции — можете оценить сами 👌
В Москве подул прохладный ветерок — верный признак того, что в пластической хирургии начинается горячий сезон 🔥
Компрессионное бельё переходит в режим Comfort, а мы с командой начинаем арбайтен в режиме Sport+ 💪
P.S. Все ваши сообщения вижу и отвечаю каждому по порядку. Спасибо за терпение 🤍
Showing the 12 most recent of 14 posts we hold for @dr_nemash. 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.
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.
Пластический хирург Вардан Хачатрян @drvardanmd · 26,245 Telegram ranks this channel #5 of 65 here — alongside 64 others — read 19 September 2026
Dr - Study Materials @DrStudyMaterials · 49,858 Telegram ranks this channel #41 of 64 here — alongside 63 others — read 4 October 2026
DoctorPDF - X @DoctorPdfX · 26,573 Telegram ranks this channel #52 of 65 here — alongside 64 others — read 4 October 2026
This channel appears in 3 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 2 November 2026 — this
entry's latest reading, not the date you are reading this.
“Пластический хирург ⚡️Dr.Nemash” (@dr_nemash), 627 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/dr_nemash.
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.