Уже долгое время думаю над одной трансформацией во внешности… Что думаете 🥹 делаем?)
❤19💯7💘2

Channel
@msfblog
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
15,791subscribers
-190 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001170956281 |
|---|---|
| Type | Channel |
| Username | @msfblog |
| Description | Влюбляю в фитнес и здоровое питание, прививаю дисциплину и создаю стройные тела✨ 📍Тот самый КОМПЛЕКСНЫЙ подход: от осанки до ЖКТ Мои клуб «фитнес ДЛЯ жизни» ➡️ https://t.me/yanamsfblog_bot?start=channel |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 22 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/msfblog |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 23:33 | 15,791 | -1 |
| 29 Aug 2026, 02:07 | 15,792 | +3 |
| 27 Aug 2026, 22:57 | 15,789 | +2 |
| 26 Aug 2026, 21:12 | 15,787 | -18 |
| 26 Aug 2026, 00:02 | 15,805 | -8 |
| 24 Aug 2026, 22:49 | 15,813 | -9 |
| 23 Aug 2026, 06:08 | 15,822 | -5 |
| 21 Aug 2026, 18:57 | 15,827 | -11 |
| 20 Aug 2026, 14:22 | 15,838 | -20 |
| 19 Aug 2026, 15:55 | 15,858 | -7 |
| 18 Aug 2026, 16:33 | 15,865 | -11 |
| 17 Aug 2026, 18:15 | 15,876 | -19 |
| 16 Aug 2026, 15:22 | 15,895 | -13 |
| 15 Aug 2026, 01:17 | 15,908 | -4 |
| 13 Aug 2026, 18:26 | 15,912 | -14 |
| 12 Aug 2026, 15:06 | 15,926 | -6 |
| 11 Aug 2026, 13:32 | 15,932 | -7 |
| 10 Aug 2026, 12:31 | 15,939 | -18 |
| 9 Aug 2026, 16:01 | 15,957 | -22 |
| 8 Aug 2026, 12:38 | 15,979 | first reading |
41 posts held, back to 5 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 49 pagesof 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. It is computed over the 40 of 41 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 August 2026 |
|---|---|
| Posts held | 41 (5 August 2026 – 30 August 2026) |
| Views total | 35,745 |
| Reactions total | 731 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Aug 2026, 16:16 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.
Lifetime counters from Telegram’s own channel header, read 30 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 15 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.
731 reactions across 40 posts, in 11 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 548 | 75.0% | |
| 💘 | 46 | 6.29% | |
| ❤🔥 | 39 | 5.34% | |
| 🔥 | 32 | 4.38% | |
| 🍓 | 27 | 3.69% | |
| 👍 | 21 | 2.87% | |
| 💯 | 7 | 0.958% | |
| 🦄 | 6 | 0.821% | |
| 😁 | 2 | 0.274% | |
| 😍 | 2 | 0.274% | |
| 😨 | 1 | 0.137% |
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 40 of the 41 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 731reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 5 August 2026 to 30 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.
Уже долгое время думаю над одной трансформацией во внешности… Что думаете 🥹 делаем?)
❤19💯7💘2
✅много вкусной еды и кофеечка ✅любование плоским животиком ✅прогулка по новому для нас району Праги ✅мой первый макияж спустя долгое время (а точнее с момента дня рождения, что было в апреле!!) ✅съемка нового видео на Ютуб про женский биохакинг 😏 = идеальный выходной день 👌🏻
❤19
«Здоровый ЖКТ» — что это вообще такое? ⬇️ ❌ Это не очередной список «что нельзя есть при вздутии» и не набор разрозненных советов про пробиотики, ферменты и добавки ✅ Я собрала целую пошаговую систему, которая помогает понять, почему ЖКТ вообще начал давать сбои и что делать дальше: от сна, стресса и биоритмов до питания, самодиагностики, работы с пищеварением, анализов и добавок 📍Внутри — 7 больших пошаговых блоко…
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Сколько времени прошло, а я всё забываю нормально рассказать вам про моё обновлённое пособие по ЖКТ😅 Если вы давно со мной, то наверняка помните моё руководство «Ключ к телу». Так вот, ещё в прошлом году я полностью закрыла его продажи и отправила на масштабную реконструкцию Несколько месяцев работы: я переписывала структуру, дополняла материалы, убирала всё лишнее, добавляла новые инструменты и собирала всё в дейс…
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Гормональное здоровье начинается не с десятка баночек с БАДами, а с того, что регулярно лежит у вас на тарелке 🤌🏼
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Эстетика сегодняшних тарелочек 🤤😍
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И вообще, блин, мне так нравится изучать себя!!! Я человек, который в спорте и питании уже давно — и у меня куча устоявшихся вещей, которые превратились в традиции. Я их не люблю нарушать 😅 рутина — это классно, она даёт стабильность и результат Но иногда что-то в этой рутине всё-таки требует корректировки. Не потому что «плохо», а потому что может быть ЕЩЁ лучше И вот последнее время мне прям кайфово пробовать но…
❤19
Кстати, касаемо тренировок — у меня есть новости… ❌Я перестала тренироваться по утрам❌ Хотя до этого я ВСЕГДА тренировалась исключительно утром и никак иначе. Почти 7 лет 😅 ✔️И сделала я это осознанно — чтобы снизить свою тревожность В сторис я уже подробно об этом рассказывала, поэтому просто продублирую всю информацию на картинках ⬆️
❤9
Сегодня решила вспомнить «старые добрые» времена и пришла на тренировку в свою самую любимую точку сети залов, в которую хожу 🤩 Обожаю её за панорамность, внутренний дворик и малое количество людей 😍 Ну а по плану сегодня верх тела 💪 И знаете, я прям очень довольна собой — не только сегодняшней тренировкой, а вообще всеми тренировками последнее время Сейчас делаю особый акцент на восстановление и работу с нервной…
❤14
Добавьте себе эти упражнения в тренировки, чтобы сделать шею более длинной, ровной и красивой 🤌 📍упражнения 1–2 выполняем по 10 раз 📍третье упражнение — 3 раза 📍четвёртое упражнение — 5 раз 🤍 Но важно понимать: это всего 4 дополнительных упражнения, а не полноценная система работы с шеей и осанкой Чтобы действительно изменить положение головы и шеи, убрать постоянное выдвижение головы вперёд, зажатость и визуально…
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так то лучше 😄 Ловите от меня шпаргалку по анализам, которые необходимо сдавать раз в год для чекапа организма 🤍
❤🔥24🔥11❤4💘1
ну и ладно, значит не буду делиться 🙂↔️ (да, это намек, что хочется больше обратной связи)
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Showing the 12 most recent of 41 posts we hold for @msfblog. 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.
@msfblog edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 455,223 of 1,627,068entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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.
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 29 August 2026 — this entry's latest reading, not the date you are reading this.
“Яна msfblog | Фитнес ДЛЯ жизни ✨” (@msfblog), 15,791 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/msfblog.
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.