6 measurements spanning 28 days, net -9. 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 485–503 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
4 Sept 2026, 14:41
492
+3
28 Aug 2026, 21:47
489
+2
22 Aug 2026, 21:33
487
-4
14 Aug 2026, 14:37
491
-10
8 Aug 2026, 04:18
501
no change
7 Aug 2026, 11:00
501
first reading
Engagement
8 posts held, back to 16 December 2025 — 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 8 posts for this entry, the most recent from 29 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
45s
Average length
45s
Measured directly from 1 video 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
98 reactions across 8 posts, in 7 distinct kinds. The most used accounts for 49.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
48
49.0%
🔥
29
29.6%
😍
7
7.14%
💯
6
6.12%
👏
5
5.10%
custom 5213447602732813642
2
2.04%
🎉
1
1.02%
Custom emoji. One row above is a 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 count beside it is 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 8 of the 8 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 98 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 16 December 2025 to 29 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 8 we hold a reading for · 25%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dr_zabelina. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 8 most recent posts we hold for this entry, published 16 December 2025 to 29 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
😯❗️На видео фрагмент операции, если не готовы увидеть кровь, не открывайте спойлер.
«Филлер кладется под надкостницу и там плотно лежит, подтягивая ткани».
Ну да.
А в итоге - мягкие ткани подбородка, потерявшие всякую структуру, становятся желеобразными, и из них вытекает филлер.
Ничего никуда не растворилось и не рассосалось даже спустя много лет. Плюс - деформация кости (ямка на втором видео).
Выведение филлер…
Вот не идеальный коллаж до/после с, не побоюсь этого слова, идеальным результатом. 🤍
До - в день Х, фотосессия перед операцией,
после - сразу на следующее утро, сняли повязку (после фото надели новую).
Выполняли на нижней трети лица: Костную гениопластику и липосакцию подбородка.
В последующие три для отёк нарастет, если что. Поэтому смотримся в первое утро, пока все ещё красиво ✨
Синяки после липосакции - это нор…
Месяц после верхней блефаропластики 👁️
Не всегда и не всем подходит эта операция изолированно, но тут, попадание стопроцентное.
А какой невероятный цвет глаз мы подчеркнули 🩵
Если раскрывать тему, кому подходит блефаропластика верхняя - когда есть избыток кожи самого века и нет очень большого нависания кожи над наружным (латеральным) уголком глаза.
А ещё можно записаться ко мне на консультацию и я ещё более подробно…
🌕 💉 Липолитики: меня часто спрашивают, поэтому раскладываю честно и по полочкам.
Я специализируюсь на хирургии лица, но как врач, работающий в парадигме доказательной медицины, считаю важным объяснить, что стоит за этой процедурой и какие реальные риски она несёт.
Если кратко: я против их применения, особенно на лице.
Если интересно углубиться в тему - ниже объяснение.
🔬 Как липолитики должны работать (в теории)
Ос…
❕ВНИМАНИЕ фото с операционного стола ❕особо впечатлительным открывать не рекомендуется.
Смотрите, как красиво наш организм регенерирует. Костная ткань покрыла шляпку винта, который мы снимем.
Прошел год после костной гениопластики, кость полностью срослось (даже сложно найти место распила теперь), титановые конструкции больше не нужны, поэтому их и удаляем.
Showing the 8 most recent of 8 posts we hold for @dr_zabelina. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 4 September 2026 — this
entry's latest reading, not the date you are reading this.
“Пластический хирург | Забелина Ольга” (@dr_zabelina), 492 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/dr_zabelina.
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.
