Telegram RegisterThe public register of Telegram
Telegram profile photo for ПРОСТО ФИТНЕС

Channel

ПРОСТО ФИТНЕС

@prostofit_channel

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,154subscribers

-24 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002086295335
TypeChannel
Username@prostofit_channel
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live30 August 2026
Measurements held9
Confirmed unchanged2 times, most recently 30 August 2026
On Telegramt.me/prostofit_channel

Growth

2,1542,1782,1667 August 2026 — 2,178 subscribers7 August 2026 — 2,178 subscribers8 August 2026 — 2,177 subscribers11 August 2026 — 2,169 subscribers15 August 2026 — 2,164 subscribers17 August 2026 — 2,161 subscribers21 August 2026 — 2,160 subscribers24 August 2026 — 2,157 subscribers27 August 2026 — 2,154 subscribers7 August 202627 August 2026
9 measurements spanning 20 days, net -24. 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 2,150–2,182 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Aug 2026, 16:242,154-3
24 Aug 2026, 20:482,157-3
21 Aug 2026, 02:482,160-1
17 Aug 2026, 22:322,161-3
15 Aug 2026, 01:332,164-5
11 Aug 2026, 08:432,169-8
8 Aug 2026, 11:312,177-1
7 Aug 2026, 23:152,178no change
7 Aug 2026, 23:072,178first reading

Engagement

15 posts held, back to 2 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.0%
avg views ÷ 2,154 subscribers
Avg views / post
236
2 posts measured
Reaction rate
4.66%
reactions ÷ views · ER floor
Posts in window
2
of 15 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
WindowRolling 30 days · latest post in window 4 August 2026
Posts held15 (2 July 20264 August 2026)
Views total472
Reactions total22
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:15 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
10m 00s
Average length
1m 40s

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.

Reaction mix

174 reactions across 13 posts, in 8 distinct kinds. The most used accounts for 36.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6436.8%
3620.7%
👍3319.0%
🤣148.05%
💯105.75%
😁74.02%
🤔63.45%
👏42.30%

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 14 of the 15 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 174reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 2 July 2026 to 4 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.

Recent posts

4 Aug 2026, 06:23 UTC190 views14 reactionsread 7 August 2026
Photo

🏃🏻 Бесплатная программа тренировок для оценки уровня подготовки Напоминаем, что на странице «Фитнес-базы» доступен бесплатный 7-дневный челлендж с готовой программой тренировок. 👉🏻 Скачать программу можно на странице: go.prostofitness.ru/fb 🙌🏻 Делитесь своими впечатлениями от программы в комментариях к этому посту.

8👏3🔥3

1 Aug 2026, 06:25 UTC282 views8 reactionsread 7 August 2026
Video

📹 Разбор видео «Много ешь и не толстеешь» Автор канала разбирает предыдущее видео с дискуссией между комиками. Если остались вопросы или есть что дополнить — велком в комментарии 🤗

👍5💯21

30 Jul 2026, 06:12 UTC329 views6 reactionsread 7 August 2026
Video

😋 Как ты много ешь и не толстеешь? На просторах интернета попался интересный диалог. ✍️ Посмотрите видео и напишите в комментариях свои мысли: почему один много ест и толстеет, а другой — нет? Как такое возможно? P.S. Мы понимаем, что к комикам у всех разное отношение, но давайте разбирать суть этого интересного диалога, а не личности 🙌🏻

👍2🔥2🤔1😁1

28 Jul 2026, 06:05 UTC328 views17 reactionsread 7 August 2026
Photo

🚴🏼‍♂️ Что такое тренировки Табата и в чем их особенность Спасибо всем, кто принял участие в опросе. Из 74 проголосовавших 30 человек уже пробовали Табата-тренировки, еще 24 человека слышали о них, а для 20 участников это название оказалось новым. Честно говоря, результаты нас удивили. Мы думали, что о Табате знают лишь единицы, но, судя по опросу, этот формат тренировок довольно популярен. 🤔 Так что же такое Табат

🔥123👍2

26 Jul 2026, 10:53 UTC343 views16 reactionsread 7 August 2026
Video

📹 Нужно ли качать пресс, чтобы избавиться от жира на животе? 🔥 Ставьте реакции на пост и пишите свое мнение и мысли в комментариях!

💯6🔥6🤔4

20 Jul 2026, 14:11 UTC453 views17 reactionsread 7 August 2026
Photo

🧭 Друзья, для вашего удобства мы собрали все основные ссылки нашего проекта на одной странице. Со временем список будет пополняться. 👉🏻 https://go.prostofitness.ru/links 📌 Рекомендуем сохранить эту страницу, чтобы она всегда была под рукой.

🔥12👍4👏1

18 Jul 2026, 09:10 UTC494 views16 reactionsread 7 August 2026
Video

Когда решила похудеть за неделю до отпуска 😂 📌 Напоминаем, что на нашем YouTube-канале доступны две тренировки для похудения первого уровня сложности: 1. Тренировка №1: https://youtu.be/L_sXc89-rYg 2. Тренировка №2: https://youtu.be/Lvq2kxnEOLM 🔥 Ставьте реакции и делитесь видео со своими друзьями!

6🔥6🤣3😁1

14 Jul 2026, 14:35 UTC595 views18 reactionsread 7 August 2026
Photo

🏋🏻 С чего начать фитнес-тренировки: 5 основных шагов Многие хотят начать тренироваться, но не понимают, что именно делать: бегать, качаться, ходить на групповые занятия или просто больше двигаться. Из-за этого люди либо откладывают старт, либо хватаются сразу за всё подряд и быстро выгорают. 👉🏻 На самом деле начать тренироваться можно намного проще. 1️⃣ Определитесь с целью Сначала честно ответьте себе на вопрос:

🔥106💯2

11 Jul 2026, 06:06 UTC587 views17 reactionsread 7 August 2026
Video

Когда жена посоветовала заняться йогой, чтобы расслабиться и почувствовать внутреннюю гармонию… 🤭

🤣11😁51

9 Jul 2026, 09:20 UTC448 viewsread 7 August 2026

Смотрите, какие неочевидные данные выяснились в исследовании 🤔 ⬇️

9 Jul 2026, 09:20 UTC598 views14 reactionsread 7 August 2026
Forwarded from @zozhnik_ruPhoto

Пик человека - не в 25, а в 55-60 лет: что говорит наука Учёные опубликовали в журнале Intelligence данные исследований по 9 измерениям — когнитивные способности, черты личности («большая пятёрка»), эмоциональный интеллект, финансовая грамотность, моральное мышление, устойчивость к ошибке невозвратных затрат, когнитивная гибкость, когнитивная эмпатия и потребность в познании, — привели всё к единой шкале и построили

8🔥3👍2🤔1

Showing the 12 most recent of 15 posts we hold for @prostofit_channel. 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.

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

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.

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 27 August 2026 — this entry's latest reading, not the date you are reading this.

“ПРОСТО ФИТНЕС” (@prostofit_channel), 2,154 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/prostofit_channel.

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.