Channel
@milano_teatralnaya
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Cite this entry
139subscribers
+16 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003253100732 |
|---|---|
| Type | Channel |
| Username | @milano_teatralnaya |
| Created | Between 1 October 2025 and 31 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 14 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 14 September 2026 |
| On Telegram | t.me/milano_teatralnaya |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Sept 2026, 19:18 | 139 | +5 |
| 6 Sept 2026, 04:59 | 134 | -1 |
| 29 Aug 2026, 04:24 | 135 | +1 |
| 22 Aug 2026, 00:25 | 134 | +1 |
| 14 Aug 2026, 20:35 | 133 | +10 |
| 9 Aug 2026, 03:17 | 123 | no change |
| 7 Aug 2026, 22:07 | 123 | first reading |
20 posts held, back to 14 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 20 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
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.
102 reactions across 14 posts, in 8 distinct kinds. The most used accounts for 48.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 49 | 48.0% | |
| 👍 | 19 | 18.6% | |
| 🔥 | 15 | 14.7% | |
| 😍 | 8 | 7.84% | |
| 🤩 | 5 | 4.90% | |
| 🥰 | 3 | 2.94% | |
| 👏 | 2 | 1.96% | |
| 🎉 | 1 | 0.98% |
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 14 of the 20 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 102 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 14 July 2026 to 8 August 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.
Ботулинотерапия — тема, о которой у пациентов всегда много вопросов 💉 Вместе с доктором Анной Владимировной Ященко собрали самые частые вопросы и подробно разобрали в новой статье на Дзен. 🤍 Читать статью
👍4❤2👏1
Posted without readable text
😍5❤3👍1🔥1
Мы не можем остановить возраст. Но можем повлиять на то, как будет стареть наша кожа ☝🏼 С возрастом кожа теряет коллаген — именно он отвечает за ее плотность, упругость и качество. Поэтому сегодня многие процедуры врачи начинают не с коррекции возрастных изменений, а с восстановления собственного коллагена. Ведь без него возможности других методик становятся значительно меньше. Именно поэтому мы так любим полимоло…
❤4🔥3👍1
Posted without readable text
🔥5❤3🥰2👏1
После родов телу нужно время. А иногда — ещё и немного поддержки👩🍼 На видео — один из вариантов послеродовой реабилитации в нашей клинике: процедура INDIBA. Мы используем её для работы с качеством кожи живота, уменьшением выраженности растяжек и восстановлением чувствительности тканей. Если вы задумываетесь о восстановлении после беременности, напишите нам @MilanoTeatralnaya — администратор поможет записаться на …
❤4🔥1🥰1
После рождения ребёнка женщина меняется. И это нормально 🤍 Но иногда в заботе о малыше мы забываем спросить себя: «А как я себя чувствую?» Многие женщины после беременности замечают изменения: 🤍 кожа стала менее упругой 🤍 изменились контуры тела 🤍 появились зоны, которые сложнее скорректировать самостоятельно 🤍 хочется снова почувствовать себя уверенно. Мы хотим поговорить об этом бережно и профессионально. Подроб…
❤3👍3🔥2
Есть ли среди наших подписчиц мамы? 🤍
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Остался только один вопрос: Подойдет ли эта процедура именно под ваш запрос? Если давно хотели поработать с качеством тела, в июле можно познакомиться с Robolex на специальных условиях: тест-драйв с выгодой - 40% 🎁 Напишите в комментариях «+» или администратору @MilanoTeatralnaya и мы расскажем подробнее о процедуре, а также поможем подобрать удобное время 🤍
👍4❤3
Video message, posted without a caption
❤5
Когда виден результат?
Video message, posted without a caption
❤3
Как ощущается процедура?
Showing the 12 most recent of 20 posts we hold for @milano_teatralnaya. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Есть ли среди наших подписчиц мамы? 🤍
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 14 July 2026 to 8 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 14 September 2026 — this entry's latest reading, not the date you are reading this.
“МИЛАНО | косметология СПб на Театральной” (@milano_teatralnaya), 139 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/milano_teatralnaya.
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.