Channel
@albina_dietolog
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
372subscribers
+1 since we began measuring on 3 November 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001705092901 |
|---|---|
| Type | Channel |
| Username | @albina_dietolog |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 3 November 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/albina_dietolog |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 09:06 | 372 | +1 |
| 3 Nov 2026, 18:22 | 371 | first reading |
17 posts held, back to 28 October 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 3 November 2026 |
|---|---|
| Posts held | 17 (28 October 2026 – 3 November 2026) |
| Views total | 401 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Nov 2026, 18:22 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 6 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.
Telegram’s own ‘edited’ marker: 4 of 17 posts held from the last 30 days (23.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Массаж по маслу в Sketch — это эффективная моделирующая техника, направленная на уменьшениевыраженности отёчности, улучшение лимфооттока и стимуляцию микроциркуляции. Благодаря специальныммассажным приёмам процедура помогает уменьшить застой жидкости в тканях, визуально скорректироватьконтуры тела и сделать силуэт более лёгким и подтянутым. ☎️ +7 987 289-37-33 — запись в личные сообщения https://t.me/albina_dietol…
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Новый результат 🔥 Программа « Худое лицо » ❗️ ☎️ +7 987 289-37-33 — запись в личные сообщения https://t.me/albina_dietolog_admin
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Снижение веса Казань | Криолиполиз | SKETCH массаж | R-SLEEK pinned a photo
✅ ТАКИХ ЦЕН НЕ БЫЛО УЖЕ 3 ГОДА ✅ ❄️ Криолиполиз — способ локальной коррекции фигуры без хирургического вмешательства. 🍂 ОСЕННИЙ ЦЕНОПАД 🍂 🔥 1 МЕСЯЦ — СКИДКА 50% 15 насадок криолиполиза: -5–7 кг ✅ 15 000 ₽ вместо 30 000 ₽ 🔥 2 МЕСЯЦА — СКИДКА 55% 30 насадок — двойной повтор на 2 месяца ведение диетолога: -10–12 кг ✅ 27 000 ₽ вместо 60 000 ₽ 🔥 3 МЕСЯЦА — СКИДКА 60% 45 насадок — тройной повтор на 3 месяца ведение дие…
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Отзыв после Точки голода : « Честно, отнеслась скептически сначала, но решила попробовать, так как давно хотела ) Аппетит и правда снизился, ранее была ола тяго к соленому от чего были отеки и вес поднимался. Тяга стала меньше, вес пошел вниз потихоньку, отеков нет и джинсы уже чуть свободнее в месте криолиполиза)) » ✅ Снижаем аппетит и активируем жажду за одну процедуру 📲 Быстрая запись : https://t.me/albina_die…
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Единственный в Казани! Самый мощный аппарат для лазерной эпиляции 💎 SALANO 💎 ❗️ Гибридный лазер: 3 длины волны в одной вспышке — идеально для любого типа кожи! ‼️ Суперкомфортная процедура — охлаждение до -16°C❄️ Без боли! ✅ Забудьте про аналоги! У SALANO — реальная мощность 3000 Вт. Результат — с первой процедуры! ♻️ Американское качество: диоды Coherent (США) служат больше 10 лет! 🔥И только сейчас — курс 🔥: …
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📍 Казань: ул. Левобулачная, 16 ЖК «Весна», ул. Табеева, 3 Запись : https://t.me/albina_dietolog_admin Студия снижения веса и коррекции фигуры Альбины Азизовой ❤️
Showing the 12 most recent of 17 posts we hold for @albina_dietolog. 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.
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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“Снижение веса Казань | Криолиполиз | SKETCH массаж | R-SLEEK” (@albina_dietolog), 372 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/albina_dietolog.
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.