Channel
@epilogclinic
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
581subscribers
+13 since we began measuring on 28 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001486346076 |
|---|---|
| Type | Channel |
| Username | @epilogclinic |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 28 August 2026 |
| Last confirmed live | 13 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 September 2026 |
| On Telegram | t.me/epilogclinic |
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 21 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Sept 2026, 15:58 | 581 | +8 |
| 5 Sept 2026, 06:59 | 573 | +5 |
| 28 Aug 2026, 07:03 | 568 | no change |
| 28 Aug 2026, 04:00 | 568 | first reading |
12 posts held, back to 31 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.
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.
| Window | Rolling 30 days · latest post in window 27 August 2026 |
|---|---|
| Posts held | 12 (31 July 2026 – 27 August 2026) |
| Views total | 96 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 04:00 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.
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.
37 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 56.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5350588824776896360 | 21 | 56.8% | |
| 🔥 | 10 | 27.0% | |
| 🤩 | 4 | 10.8% | |
| 👏 | 2 | 5.41% |
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 12 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 37 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 31 July 2026 to 27 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.
ГОРЯЩИЕ ОКНА НА 2️⃣8️⃣АВГУСТА 📌 СКИДКА 1️⃣0️⃣💬 ‼️Эпиляция Александрит/Диод↴ 10:00 - 11:30, 12:30, 13:30, 15:20 - 17:00, 18:30, 19:30, 21:30 ‼️Ручной массаж/Аппаратный массаж↴ 18:30 - 21:00 ‼️КОСМЕТОЛОГИЯ↴ 10:00, 12:00, 14:00, 20:30, 21:00 Запись на процедуры через Telegram → @epilog_clinic При записи обязательно сообщите, что вы из Telegram🎀
Новая встреча нашего комьюнити! 🤍 29 августа приглашаем всех участников комьюнити EPILOG на паблик-ток в стенах нашей клиники Спикер – Ангелина Прыткова, врач, сексолог, специалист по работе с тазовым дном Вместе мы обсудим важные темы, касающиеся женского здоровья и женской сексуальности Как стать участником комьюнити? 1. Быть клиентом нашей клиники 2. Быть подписанным на наш Telegram-канал Запись на мероприяти…
СПЕЦИАЛЬНОЕ ПРЕДЛОЖЕНИЕ НА JUVEDERM VOLUMA 🩶 Если хочется освежить лицо, подчеркнуть естественные пропорции и вернуть ему гармоничный объём - сейчас отличный момент для JUVEDERM VOLUMA. Филлер на основе гиалуроновой кислоты для деликатной коррекции объёмов лица. Врач индивидуально определяет зоны и объём, чтобы сохранить естественный результат. -30% на процедуру 37 000 ₽ ❗️25 900 ₽ По данному предложению всего 2…
🔥1
Если бы «Основной инстинкт» снимали в EPILOG Главную роль точно сыграла бы Анна Васильевна🤍
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Запись через Telegram → @epilog_clinic🩶
Наше прекрасное «до/после»🤍
🔥6👏2
ИЩЕМ МОДЕЛЕЙ на процедуру микроигольчатого RF-лифтинга Vivace со скидкой до 30%🩶 Процедура позволяет деликатно работать с: - порами и текстурой кожи - снижением тонуса и птозом - постакне и рубцами - морщинами
custom 53505888247768963602
Сегодня есть редкая возможность записаться на аппаратный RSL-массаж по специальной цене - 5400 ₽ вместо 6790 ₽🩶 Свободные слоты: 15:00, 16:30, 17:00 и 20:00. Такие предложения появляются нечасто. Если хотите получить максимальный эффект и при этом воспользоваться наиболее выгодными условиями - рекомендуем забронировать время🙏 Так же напоминаем про предложения месяца: Запись на процедуры через Telegram → @epilog_c…
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Границы — это про умение чувствовать себя Именно с этой темы мы начинаем первый месяц нашего сообщества EPILOG 1️⃣5️⃣ августа мы встретимся в Brothers Boxing Club — пространстве, где бокс становится возможностью лучше узнать возможности своего тела, обрести внутреннюю опору и почувствовать уверенность в своих действиях Здесь ценят свободу быть собой: тренировки строятся с учётом уровня подготовки каждого участника…
custom 53505888247768963605🔥3
КОМЬЮНИТИ EPILOG 📌Дорогие, спешим сообщить для вас прекрасную новость - В этом месяце мы запускаем наше сообщество! ❗️Читайте подробности в карусели Записаться на мероприятия - @epilog_clinic
custom 53505888247768963604
решила пройти курс RSL! чего только не сделаешь, лишь бы не отказываться от сладкого… последние недели отношения со спортом были чуть более натянутыми, чем обычно, поэтому качество тела и кожи чуть упало, захотелось привести в тонус 🌟 выбрала клинику epilog, впервые была здесь зимой, снова ставлю лайк! приятная обстановка и мастера. мое открытие: RSL это очень даже приятно, а не больно. эффекта с первого раза не жд…
В мире, где так легко потерять контакт с собой, особенно важно найти место, где можно его вернуть Мы всегда верили, что настоящая забота начинается c отношения к себе📌 С умения слышать свои желания. Замечать свои чувства. Уважать собственные «да» и собственные «нет» 🤍Именно поэтому EPILOG всегда был чем-то большим, чем место, куда приходят за процедурами Это разговоры, которые продолжаются после приёма. Истории, …
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Showing the 12 most recent of 12 posts we hold for @epilogclinic. 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.
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.
Named by 1 registered channel — 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.
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 13 September 2026 — this entry's latest reading, not the date you are reading this.
“EPILOG IS TYPING…| ЭПИЛОГ ПЕЧАТАЕТ…” (@epilogclinic), 581 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/epilogclinic.
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.