💯Помогаю тренироваться эффективно
🏆Оценка твоей формы
и техники от Юрия!
🤝Контакт по рекламе, ведению, оценки техники, формы:
https://t.me/Spasokukotskiy
Оценка твоей формы в канале: @alexozavr
Наш чат в телеграм https://t.me/+5eR4Zqzb5P4wNmEy
Created
Between 1 May 2016 and 31 January 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
13 measurements spanning 12 days, net -84. 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 10,899–11,011 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Aug 2026, 11:24
10,912
-1
15 Aug 2026, 20:22
10,913
-12
14 Aug 2026, 09:14
10,925
-10
13 Aug 2026, 00:28
10,935
-7
12 Aug 2026, 03:32
10,942
-8
11 Aug 2026, 05:21
10,950
-5
10 Aug 2026, 02:41
10,955
-10
9 Aug 2026, 03:52
10,965
-6
8 Aug 2026, 04:30
10,971
-10
7 Aug 2026, 07:03
10,981
-17
6 Aug 2026, 06:12
10,998
+2
6 Aug 2026, 02:45
10,996
no change
5 Aug 2026, 23:03
10,996
first reading
Engagement
58 posts held, back to 2 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 19 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
5.51%
avg views ÷ 10,912 subscribers
Avg views / post
602
58 posts measured
Reaction rate
0.688%
reactions ÷ views · ER floor
Posts in window
58
of 58 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. It is computed over the 47 of 58 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 17 August 2026
Posts held
58 (2 August 2026 – 17 August 2026)
Views total
34,891
Reactions total
192
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
17 Aug 2026, 23:38 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
Photos
≈11,800
Videos
≈8,910
Links
≈2,750
Lifetime counters from Telegram’s own channel header, read 17 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.
Video runtime
25m 45s
Average length
59s
Measured directly from 26 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
166 reactions across 37 posts, in 15 distinct kinds. The most used accounts for 30.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
51
30.7%
❤
47
28.3%
👍
29
17.5%
😢
11
6.63%
😱
8
4.82%
🍌
5
3.01%
💯
3
1.81%
🥱
3
1.81%
⚡
2
1.20%
😁
2
1.20%
😨
1
0.602%
🤔
1
0.602%
🤝
1
0.602%
🤷♂
1
0.602%
🦄
1
0.602%
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 47 of the 58 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 192reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 58 most recent posts we hold, published 2 August 2026 to 17 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.
Коллаборация года: враг моего друга — мой друг? Или стоп… 🫠
Вопрос на засыпку: Паше норм стоять в кадре с тем, кто недавно поливал его лучшего друга грязью? Или это совсем другая история?
🤡 — Спойлер: это другое.
Потому что здесь не про «кто с кем враждовал», а про рабочие отношения.
Дружба — одно, проект — другое. Если лучший друг в теме и без претензий — почему нет?
Взрослые люди просто делают своё дело. А морал…
ВЫПАДЫ vs НОЖНИЦЫ: ЧТО ВЫБРАТЬ? ✂️🏋️♀️
Кажется, это одно и то же, но разница колоссальная! Смотрите 👇
📍 ВЫПАДЫ (шаг вперёд/назад)
🦵 Это движение в динамике.
🎯 Цель: Попа и задняя поверхность бедра.
✅ Плюс: Легче освоить, меньше нагрузка на колени.
❌ Минус: Сложнее сохранять равновесие в движении.
🔥 Вердикт: Для красивой упругой попы! 🍑
📍 НОЖНИЦЫ (Болгарский сплит-присед)
🪑 Нога сзади стоит на опоре (стул/скамья).…
🏙 Нью‑Йорк, 15 августа: я дома — и мы отмечаем 40 лет хардкорного бодибилдинга.
Это не про «быстрые результаты», а про годы работы, дисциплину и людей, которые остаются рядом. Спасибо Стиву и Бев за преданность делу и дружбу — в спорте это самое ценное. 🤝
Фото из Bev Francis Powerhouse Gym: Стив Вайнбергер, Самсон Дауда и Марленка. В этих кадрах — настоящая атмосфера старой школы. 📸
Слова Дориана Ятса, и в них вес…
ПОЧЕМУ У ДЕВУШЕК НЕТ РЕЗУЛЬТАТА В ТРЕНАЖЕРНОМ ЗАЛЕ? 💪
Как тренер скажу: самая частая причина — девушки просто не ходят в зал регулярно. Многие хотят красивую фигуру, но до первой тренировки не доходят, а значительная часть тех, кто начал, бросает через 2–3 месяца.
Но даже если девушка ходит 3 раза в неделю, результат может отсутствовать. Почему?
🔥 Нет прогрессии нагрузки. Если месяцами работать с одними и теми же ган…
Редкий кадр — 1957 год!
Рег Парк — легенда, которая не нуждалась в экипировке: в 1954‑м он пожал 226 кг без майки и бинтов — и стал первым бодибилдером с таким результатом.
А в 1957‑м повторил рекорд на «Мистер США среди профессионалов» — прямо в обычной одежде, перед полным залом!
Трёхкратный «Мистер Вселенная» и пионер силовых методик — Рег доказал, что сила и форма строятся на дисциплине.
Его мысль отлично ложи…
Необычное упражнение для средней дельты. Тренировки со мной на jirotopka.ru
❤1
Showing the 12 most recent of 58 posts we hold for @superbiceps. 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.
Citation-graph rank
Citation-graph rank — 490,087 of 1,549,376entries 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.
ExSport @sportXpres · 124,009 Telegram ranks this channel #38 of 60 here — alongside 59 others — read 13 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 17 August 2026 — this
entry's latest reading, not the date you are reading this.
“Юрий Спасокукоцкий — фитнес, мышцы, питание” (@superbiceps), 10,912 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/superbiceps.
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.