10 measurements spanning 22 days, net +232. 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 4,743–5,083 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
29 Aug 2026, 15:35
5,032
-4
26 Aug 2026, 22:55
5,036
-8
23 Aug 2026, 16:56
5,044
+76
20 Aug 2026, 00:18
4,968
+186
17 Aug 2026, 10:05
4,782
-10
13 Aug 2026, 13:16
4,792
-1
10 Aug 2026, 17:12
4,793
-6
8 Aug 2026, 03:31
4,799
-1
7 Aug 2026, 09:31
4,800
no change
7 Aug 2026, 09:24
4,800
first reading
Engagement
17 posts held, back to 8 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 8 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
15.5%
avg views ÷ 5,032 subscribers
Avg views / post
779
6 posts measured
Reaction rate
3.08%
reactions ÷ views · ER floor
Posts in window
6
of 17 held
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 August 2026
Posts held
17 (8 July 2026 – 10 August 2026)
Views total
4,674
Reactions total
144
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 05:19 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.
What this channel posts
Video runtime
2m 24s
Average length
29s
Measured directly from 5 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.
Reaction mix
685 reactions across 17 posts, in 7 distinct kinds. The most used accounts for 32.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🐳
221
32.3%
❤
191
27.9%
🔥
137
20.0%
👍
126
18.4%
👏
4
0.584%
💯
4
0.584%
🤩
2
0.292%
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 17 of the 17 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 685reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 8 July 2026 to 10 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.
Приветствую новеньких в нашем блоге!
Координируемся на местности:
⏺Материалы, с которых стоит начать изучение блога
⏺Узнать больше обо мне
⏺Читать больше о сопровождении
⏺ Результаты подопечных.
⏺ Отзывы подопечных.
Чтобы посмотреть материал на интересующую вас тему - жмакайте на закрепленное сообщение, там у нас приложение с навигацией по каналу. 👌
Сегодня хочу провести стрим на ютубе в формате "Мясного разбора" - рубрики, где мы покадрово разбираем технику упражнений.
Думаю, в формате онлайн - где можно ещё и в живую вопросы позадавать, это будет вообще пушка.
👉 Отправляйте видео своих тренировок мне в личку.
@Mikhail_Sanochkin_Trener
Наиболее интересные возьмем в разбор сегодня, а если не успеете отправить до стрима - на следующем аналогичном пятничном ст…
Персональные тренировки в зале уступают место сопровождению. Что изменилось?
Сейчас формат тренировок меняется.
Персональные тренировки в зале отходят на второй план, всё больше людей переходят в онлайн‑сопровождение.
Даже появляются залы без персонала: ни тренеров, ни админов на рецепции — только пространство и оборудование. И на это есть причины.
1. Люди увидели, кто стоит на линии.
На работу тренера массово бер…
Реабилитация, это не всегда про легкие упражнения на коврике.
На старте работа с мобильностью и первичным укреплением без отягощений - это база. Но потом нужна нагрузка.
Вот, например, как я сейчас укрепляю свои колени. Пистолетик с опорой. Подбираю углы, в которых сгибание не болезненно и возможно в полную амплитуду.
Кто не в курсе, у меня разрыв менисков на обоих ногах. Если у вас тоже - не повторяйте за мной по…
Ирина | 5 лет тренировок с тренером — без результата.
Запрос:
— Поставить правильную технику
— Построить стройное, спортивное, рельефное тело
— Понять, как грамотно отрабатывать лёгкие и тяжёлые тренировки
Точка А:
— 5 лет занятий с тренером без системы
— тренировки составлялись «на ходу»
— вес снизился, но рыхлость тела осталась
Что делали:
У Ирины хороший потенциал к силовым тренировкам, но он не раскрывался из…
Актуальная форма. Чтобы не забывали как выгляжу 😁
Бесит: сейчас все вокруг топят за тренинг по науке. Даже мне часто говорят: Нам нравится, что у тебя всё по науке..
Я понимаю, какие научные данные ОБОСНОВЫВАЮТ то, что я даю подопечным. Но мы не строим тренинг лишь на основе исследований. Их можно вывернуть как угодно, что и делают большинство при создании "научного контента".
Пример о котором всё ещё спорят: без …
Системный тренинг. Часть 2. Питание. | Мясной разбор 🥩
При попытке похудеть большинство людей попадают либо в гормональный сбой, либо в «скинни‑фэт», либо в вечный застой.
Голодовки, резкие диеты «на силе воли», кето, детоксы, заедание стресса и длительный дефицит — всё это только ломает голову, мотивацию и обмен веществ.
В новом мясном разборе по питанию я на живых примерах показал, какие ошибки ломают вашу систе…
Похудение, которое ломает жизнь: РПП, гормональный сбой, скинни‑фэт, провал в мотивации и пустой кошелёк.
В контексте фитнеса, принято рассматривать питание, только как инструмент для построения тела. Будто быть стройными и рельефными - это главное в жизни.
Типичная ситуация: девушка в универе ест дошираки и чипсы, потом строит карьеру без времени на нормальный обед, перехватывая булки с кофе на бегу. Выходит замуж…
Одно из моих любимых упражнений на спину.
Цепляет самый низ широчайших мышц и не перегружает нервную систему.
Включаю его заключительным упражнением в тяжёлую тренировку спины.
Друзья, сейчас будет стрим на YouTube.
Тема: Топ ошибок, которые рушат режим тренировок и мотивацию.
👉 Залетайте:
https://youtube.com/live/XINU6voIZco?feature=share
Завтра делаю трансляцию на ютубе. Какую тему берем?
Похудение: первые шаги для тех, кто худеет, но не может удержать результат26%
Как правильно выбрать тренера и формат тренировок31%
Топ ошибок, которые рушат режим тренировок и мотивацию53%
The shares total 110%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
❤10🔥7👍4🐳1
Showing the 12 most recent of 17 posts we hold for @mikhailsanochkin. 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.
Polls
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.
Завтра делаю трансляцию на ютубе. Какую тему берем?
Похудение: первые шаги для тех, кто худеет, но не может удержать результат26%
Как правильно выбрать тренера и формат тренировок31%
Топ ошибок, которые рушат режим тренировок и мотивацию53%
The shares total 110%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 17 most recent posts we hold, published 8 July 2026 to 10 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.
Citation-graph rank
Citation-graph rank — 802,056 of 1,625,954entries 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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.
Appears in Telegram’s recommendations for other channels
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.
Тренер Артём @trener_artem · 55,609 Telegram ranks this channel #10 of 90 here — alongside 89 others — read 23 August 2026
Павел Тулюпа @tulupavel_fit · 71,132 Telegram ranks this channel #23 of 91 here — alongside 90 others — read 20 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 29 August 2026 — this
entry's latest reading, not the date you are reading this.
“Михаил Саночкин | Академия Фитнеса” (@mikhailsanochkin), 5,032 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/mikhailsanochkin.
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.