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Channel

Stimul

@stimulfitnes

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

325subscribers

+7 since we began measuring on 31 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001620501597
TypeChannel
Username@stimulfitnes
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded31 August 2026
Last confirmed live16 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/stimulfitnes

Growth

318325321.531 August 2026 — 318 subscribers31 August 2026 — 318 subscribers9 September 2026 — 320 subscribers16 September 2026 — 325 subscribers31 August 202616 September 2026
4 measurements spanning 16 days, net +7. 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 317–326 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 23:19325+5
9 Sept 2026, 18:55320+2
31 Aug 2026, 21:30318no change
31 Aug 2026, 21:15318first reading

Engagement

14 posts held, back to 15 June 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
33.5%
avg views ÷ 325 subscribers
Avg views / post
109
1 post measured
Reaction rate
2.75%
reactions ÷ views · ER floor
Posts in window
1
of 14 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 24 August 2026
Posts held14 (15 June 202624 August 2026)
Views total109
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken31 Aug 2026, 21:30 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
3m 27s
Average length
21s

Measured directly from 10 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

91 reactions across 11 posts, in 4 distinct kinds. The most used accounts for 65.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6065.9%
🔥2224.2%
🥰66.59%
👍33.30%

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 12 of the 14 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 91 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 15 June 2026 to 24 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

24 Aug 2026, 07:58 UTC109 views3 reactionsread 31 August 2026
Video

За один час в нашей студии на тренировке: ✅ мы успеваем дать силовую нагрузку на всё тело 👌 ✅ развиваем гибкость и подвижность позвоночника 🌷 ✅ улучшаем координацию 😌 ✅ и мягко тянемся ❤️ А потом получаем от вас восторженную обратную связь 🌷 Приходите пробовать 😇 Для связи с администратором переходите по ссылке 📲 http://t.me/stimul_fit

3

17 Aug 2026, 08:24 UTC165 views9 reactionsread 31 August 2026
Photo

Друзья, в малом зале у нас появилось новое большое оборудование для пилатеса - Кадиллак 🥰👌честно, мы его очень ждали 😌 Теперь значительно расширится репертуар упражнений для персональных тренировок 🙌🏼 А также мы хотим открыть новые сплит-группы на два человека в формате Кадиллак+др оборудование (арка, стул), чтобы каждый участник опробовал упражнения на нем 🌷 Следите за обновлениями в нашем расписании, самое актуа

🔥63

12 Aug 2026, 06:38 UTC196 views3 reactionsread 31 August 2026

Друзья, уже в эту субботу 15 августа в 16:00 у нас в студии пройдет внутреннее мероприятие: Гонг-медитация К нам в студию приедет большой гонг, тибетские поющие чаши, хрустальные чаши, арфа, колокольчики и другие звуковые инструменты 🌷 Звуковая медитация способствует глубокому успокоению и расслаблению ✨ Ответим на самые частые вопросы по мероприятию: ℹ️ Кто ведет? 📚 Мастер класс ведет сертифицированный гонг-маст

3

3 Aug 2026, 06:11 UTC201 views6 reactionsread 31 August 2026
Photo

Друзья, мы приглашаем вас на внутреннее мероприятие студии - Гонг-медитацию 😍 Дата: 15 августа суббота 16:00 Ведущая: Ольга Яковлева - сертифицированный гонг-мастер, звукотерапевт👩🏻‍🎓 Гонг-медитация - звуковая практика с гонгом, поющими чашами и другими звуковыми инструментами, проходит в положении лежа в удобной одежде За час до практики не есть и не пить кофе, по желанию взять на медитацию маску для сна Противоп

4🔥2

31 Jul 2026, 10:25 UTC177 views0 reactionsread 31 August 2026
Video message

Video message, posted without a caption

27 Jul 2026, 06:10 UTC242 views7 reactionsread 31 August 2026
Video

Друзья, напоминаем вам насколько важна мышечная масса, особенно после 40ка 🙏 Это не только красота и эстетика, это наше здоровье🌷 И не всегда чтобы увеличить мышечный объем нужно тягать большие веса, тому подтверждение результаты нашего прекрасного клиента Наташи Подкладовой 💗 Наташа - клинический психолог и очень спортивный человек, совмещает плавание, бег и пилатес с адекватными регулярными силовыми тренировками

5👍2

20 Jul 2026, 10:01 UTC238 views10 reactionsread 31 August 2026
Video

Невозможно пройти мимо такой красоты и силы 🥰😍🫰🏻🌷 руки сами тянутся к телефону запечатлеть новое видео 👌 Мы гордимся вами 💕

5🔥5

13 Jul 2026, 12:56 UTC283 views5 reactionsread 31 August 2026
Video

Наше пространство — это место вашей силы🔋 Мы создали его, чтобы вы: 🔶 Наполнились энергией — почувствовали баланс между приятной усталостью в мышцах и легкостью в походке 💨🪽 🔶 Восстановились — Мы знаем, как мягко работать с телом после травм, операций и родов, чтобы вернуть вам свободу движений 💎 🔶 Укрепились — без изнурения и упахиваний, но с результатом. Наш подход строит ваше тело умно, создавая прочный стерже

3🔥2

6 Jul 2026, 06:30 UTC186 views21 reactionsread 31 August 2026
Video

Ценности, которые мы вкладываем в спортивную жизнь нашей студии ❣️Красивые два зала для тренировок с новейшим оборудованием и большими зеркалами 😍 ❣️Тренеры на регулярной основе обновляют свои знания современными методиками: используют микс функциональной нагрузки, пилатеса и биомеханики ♻️ ❣️Чистота помещения и оборудования, все поверхности обрабатываются антисептиком 💎 ❣️Мы всегда поддерживаем комфортную температу

10🥰6🔥5

29 Jun 2026, 13:55 UTC221 views14 reactionsread 31 August 2026
Photo

Друзья, спасибо, что сделали наш третий День рождения по-настоящему волшебным! ✨ Наша студия наполнилась вашей красотой, живой музыкой, дружеским общением, вкусными угощениями 😇 Мы благодарим каждого за трогательные слова в наш адрес — Вы не просто гости, вы — наша семья ❤️ А какими вдохновляющими получились открытки на мастер-классе! Уверены, они теперь будут мотивировать своих владельцев на новые спортивные подв

14

Showing the 12 most recent of 14 posts we hold for @stimulfitnes. 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.

Mentions

Named by 3 registered channels — 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.

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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“Stimul” (@stimulfitnes), 325 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/stimulfitnes.

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.