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 11 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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.
Growth
32 measurements spanning 41 days, net -252. 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 13,506–13,834 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
17 Sept 2026, 16:00
13,544
-4
15 Sept 2026, 17:36
13,548
-2
13 Sept 2026, 23:37
13,550
-17
12 Sept 2026, 03:41
13,567
-17
9 Sept 2026, 20:35
13,584
-41
6 Sept 2026, 14:41
13,625
-3
4 Sept 2026, 05:17
13,628
-5
2 Sept 2026, 16:43
13,633
-22
1 Sept 2026, 16:46
13,655
-10
31 Aug 2026, 13:24
13,665
-4
30 Aug 2026, 15:34
13,669
-8
29 Aug 2026, 13:45
13,677
-5
27 Aug 2026, 13:44
13,682
-1
26 Aug 2026, 11:08
13,683
-3
25 Aug 2026, 10:32
13,686
-2
24 Aug 2026, 13:54
13,688
-2
22 Aug 2026, 23:56
13,690
-2
21 Aug 2026, 16:24
13,692
-1
20 Aug 2026, 16:35
13,693
-6
19 Aug 2026, 19:22
13,699
first reading
Engagement
41 posts held, back to 18 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 50 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.43%
avg views ÷ 13,544 subscribers
Avg views / post
1,140
8 posts measured
Reaction rate
2.57%
reactions ÷ views · ER floor
Posts in window
8
of 41 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 7 of 8 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 1 September 2026
Posts held
41 (18 July 2026 – 1 September 2026)
Views total
9,130
Reactions total
207
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 19:51 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
8m 48s
Average length
1m 06s
Measured directly from 8 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
1,649 reactions across 38 posts, in 11 distinct kinds. The most used accounts for 47.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
777
47.1%
🔥
471
28.6%
❤🔥
116
7.03%
🤣
103
6.25%
👍
81
4.91%
😁
55
3.34%
🥰
36
2.18%
👏
5
0.303%
😱
2
0.121%
🥴
2
0.121%
🤩
1
0.061%
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 38 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 1,649 reactions 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 18 July 2026 to 1 September 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.
Как прийти в свою лучшую форму за 21 день?
Голодные игры - это спланированные на 21 функциональные тренировки, которые помогли уже больше, чем 20 тысячам человек за 19 сезонов стать сильнее, выносливее, подвижнее и здоровее.
📌Это место, где можно оказаться в своей лучшей форме
📌Это место, где за 21 день можно узнать, на что способно тело
📌Это место, где есть спланированная программа тренировок, чтобы твоё тело полу…
Как я отношусь к фарме?💊
Меня очень часто спрашивают, когда видят мою форму:
на чём я сижу???
Вспомню цитату великого Лэнса Армстронга из рекламы Nike:
«Это моё тело и я могу с ним делать всё, что захочу. Могу пахать на нем могу. Изучать. Настраивать. Могу его слушать. Все хотят знать, на чём я? Я на велосипеде шевелю жопой по 6 часов в день. А ты на чем?»
Так вот, я как Лэнс Армстронг, только сейчас не столько …
Осталось ровно 4 недели до лёгкой пробежки в Берлине. Какие у меня мысли?
Первые две недели планируются ударными 💀 Объёмы сейчас ~ 100 км в неделю. Физически я перевариваю нормально, а вот психологически они даются тяжело.
Воскресные длительные стараюсь бегать с группой Die Hard. Это моё спасение. А остальная подготовка проходит в одиночку. Километр за километром, наедине со своими мыслями и Собянинской плиткой 😅
…
Есть одна причина, почему я до сих пор делаю Голодные игры
1 сентября я открываю запись на юбилейный сезон. Это будут 20-е Голодные игры!!!
Уже двадцать раз я снимаю их. Не было ни одного сезона, когда я давал одно и то же. 20 сезон одно. 19 сезон второе, 18 сезон третье и тд. Всегда разные упражнения, люди, декорации. Всё разное🤌
Сначала я снимал тренировки дома, потом в студиях, потом с большой командой, когда в…
Плохой опыт тоже опыт🫡
Даже самая неудачная тренировка - в копилку. Даже самое неудачное соревнование - тоже в копилку.
Вчера у меня случился такой забег. Мой первый сход с дистанции за всю мою спортивную карьеру...
Почему? А поверил в себя слишком сильно и сразу после старта решил бежать за лидерами, когда план был другой
Грустно? Да. Обидно? Ещё как. Злился на себя? Конечно. Но такое тоже бывает.
Как сказал мо…
Как тренироваться намного эффективнее?
Все упражнения, которые я вам давал в течение челленджа, и вообще, весь мой метод по которому я работаю абсолютно с любым человеком, по которому построены Голодные игры - он первично про здоровье🙌🏻
Это часть методики, часть системы функционального тренинга, которую могут применить на себе и тренеры, и любители, и спортсмены. И всем она даёт совершенно другие результаты и, само…
Немного закулисья со съемок)
Снимались в этот раз не вдвоём, а втроём. У третьего просто никакой подготовки до этого не было, тяжелый случай😂
Когда прошел Голодные игры
Когда не прошел Голодные игры
Когда пробежал марафон
Придумайте подпись и продолжайте в комментариях))))
Тренироваться нужно не так, чтобы поднять как можно больше, а так, чтобы получать максимум результата от нагрузки и сохранять здоровье.
Особенно это важно в спорте высших достижений, потому что в конечном итоге ВСЕ упирается во время.
Ты не можешь бесконечно увеличивать количество тренировочных часов: организм просто перестаёт восстанавливаться.
Поэтому задача - не впихнуть в неделю ещё больше нагрузки, а оптимизи…
❤51🔥19👍11
Showing the 12 most recent of 41 posts we hold for @velogera_news. 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.
Posts edited after publishing
@velogera_news edited 2 posts 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.
First edit seen
8 August 2026
Most recent edit
27 August 2026
Forward network
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.
Mentions
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.
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.
Александр Семенов @trenersemenov · 22,844 Telegram ranks this channel #7 of 96 here — alongside 95 others — read 19 September 2026
VLADLENAFIT @vladlenafit · 33,539 Telegram ranks this channel #12 of 93 here — alongside 92 others — read 4 September 2026
Анастасия Лунегова. Здоровый фитнес. @anastasiyalunegova · 73,918 Telegram ranks this channel #22 of 92 here — alongside 91 others — read 19 August 2026
Newyorkfitspo | Школа здорового фитнеса @newyorkfitspo · 109,067 Telegram ranks this channel #24 of 89 here — alongside 88 others — read 14 August 2026
Эдгар Кафаров - Анатомия человека @edgarkafarov · 24,617 Telegram ranks this channel #37 of 75 here — alongside 74 others — read 16 September 2026
Соня Солдатова @byssfit · 50,534 Telegram ranks this channel #43 of 79 here — alongside 78 others — read 25 August 2026
Боровская | Академия Нейрофитнеса @kanalsvoboden · 21,841 Telegram ranks this channel #63 of 89 here — alongside 88 others — read 22 September 2026
РАСТЯЖКА С КУТУЗОВОЙ @stretch_Kutuzova · 31,025 Telegram ranks this channel #74 of 93 here — alongside 92 others — read 6 September 2026
Пенкин Егор - Здоровое будущее @fit_therapy · 79,372 Telegram ranks this channel #80 of 91 here — alongside 90 others — read 18 August 2026
Павел Баранов. Эндокринология/диетология. @pavelbaranov_md · 31,179 Telegram ranks this channel #81 of 96 here — alongside 95 others — read 6 September 2026
⚕️ Дмитрий Семирядов️️ / Превентивный врач, нутрициолог / dsemiryadov @dsemiryadov_official · 76,614 Telegram ranks this channel #85 of 85 here — alongside 84 others — read 19 August 2026
This channel appears in 11 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“VELOGERA fit NEWS” (@velogera_news), 13,544 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/velogera_news.
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.