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Channel

Run Heart - Беговой клуб

@run_heart_club

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

198subscribers

+6 since we began measuring on 1 October 2026

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

Register entry

Telegram ID-1001817853789
TypeChannel
Username@run_heart_club
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded1 October 2026
Last confirmed live14 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 October 2026
On Telegramt.me/run_heart_club

Growth

1921981951 October 2026 — 192 subscribers6 October 2026 — 197 subscribers14 October 2026 — 198 subscribers1 October 202614 October 2026
3 measurements spanning 13 days, net +6. 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 191–199 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Oct 2026, 11:21198+1
6 Oct 2026, 20:39197+5
1 Oct 2026, 22:22192first reading

Engagement

7 posts held, back to 24 September 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
54.6%
avg views ÷ 198 subscribers
Avg views / post
108
7 posts measured
Reaction rate
20.9%
reactions ÷ views · ER floor
Posts in window
7
of 7 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 30 September 2026
Posts held7 (24 September 2026 – 30 September 2026)
Views total757
Reactions total158
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Oct 2026, 22:22 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
5s
Average length
5s

Measured directly from 1 video 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

158 reactions across 7 posts, in 17 distinct kinds. The most used accounts for 12.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 53595813781931381292012.7%
custom 52692999630403802871811.4%
custom 53187754909143300361811.4%
custom 53192116448432385161710.8%
custom 5319148590428368242127.59%
custom 5334662416028412343127.59%
custom 5364347658020331732127.59%
custom 534578040702554285185.06%
custom 526938677721433441663.80%
custom 531902188889313313563.80%
custom 531913216217846013263.80%
custom 531879959856576160953.16%
custom 531903128198661208453.16%
custom 531925582287684522953.16%
custom 531878752111772748131.90%
custom 532149633122151695331.90%
custom 526707718861568326721.27%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 7 of the 7 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 158 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 24 September 2026 to 30 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.

Telegram Stars

Stars received
9
across the posts below
Posts paid on
3
of 7 we hold a reading for · 43%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @run_heart_club. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 7 most recent posts we hold for this entry, published 24 September 2026 to 30 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

30 Sept 2026, 12:05 UTC90 views14 reactionsread 1 October 2026
Photo

☕ Кофе, километры и воскресное утро с Run Heart ✕ Мирра! В это воскресенье, 4 октября, снова встречаемся у «Мирры» — пробежим свои километры по центру Воронежа, а после нас будут ждать кофе и тёплый завтрак 🌼 Бежим двумя группами, выбирайте свой темп: ❤️ Группа 1 — темп 5:50–6:00, дистанция 6 км 💙 Группа 2 — темп 6:30–6:40, дистанция 5 км Вещи можно оставить в кафе и бежать налегке. Для участников — бесплатный …

custom 53187754909143300366custom 53191321621784601323custom 53187995985657616092custom 53214963312215169532custom 53192558228768452291

29 Sept 2026, 13:44 UTC87 views28 reactionsread 1 October 2026
Photo

Photo, posted without a caption

custom 531921164484323851611custom 53190218888931331356custom 53187754909143300363custom 53187875211177274813custom 53187995985657616093custom 53190312819866120842

29 Sept 2026, 13:43 UTC86 views21 reactionsread 1 October 2026

Posted without readable text

custom 53191485904283682428custom 53187754909143300364custom 53192558228768452294custom 53191321621784601323custom 53190312819866120842

28 Sept 2026, 14:21 UTC115 views17 reactionsread 1 October 2026
Photo

🌲 Выходим на тропу! У Run Heart начинается новая история — первая тренировка по трейлраннингу 🏃‍♀️🌿 Уже 3 октября в 10:00 встречаемся на СОК «Олимпик» — у шлагбаума, и отправляемся исследовать лесные тропы вместе с Мариной Челнаковой. Поговорим и попробуем на практике то, что делает трейл особенным: движение по рельефу, работа с покрытием, координация и умение чувствовать себя уверенно на тропе. Будем двигаться, б…

custom 53192116448432385166custom 53187754909143300365custom 53191485904283682424custom 53190312819866120841custom 53214963312215169531

27 Sept 2026, 09:55 UTC104 views22 reactions1 Starread 1 October 2026
Photo

💬 Воскресенье начинается с бега Сегодня утром у «Мирры» снова собралась наша большая беговая компания 🌸 У нас были участники, которые прибыли прямо с поезда после вчерашних 10 км в Москве, а многие ребята сегодня сами бегут Московский марафон — болеем за каждого! ⚡️🔥 Не обошлось и без четвероногих участников, они уже стали постоянными гостями ⭐️ Пробежали свои километры, а после финиша — кофе, завтрак и разговоры…

custom 53595813781931381298custom 53643476580203317326custom 52692999630403802875custom 53457804070255428513

26 Sept 2026, 15:22 UTC105 views29 reactions5 Starsread 1 October 2026
Photo

⚡️ Челнакова Марина, утрамарафонец: знакомьтесь с тренером нашего трейл-направления Она пробовала начать бегать сто раз и сто раз бросала. Пока в мае 2018-го не пришла на одну кроссовую тренировку по лесу — и всё, пропала. Через полгода — первый полумарафон. А дальше было уже не остановить: 40 км, 50, горы, ультра. «Холмы превратились в горы, и горы всё выше» ⭐️ А зачем вообще бегать такое? Тут лучше словами самой …

custom 533466241602841234312custom 52692999630403802877custom 52693867772143344166custom 52670771886156832672custom 53457804070255428512

24 Sept 2026, 11:46 UTC170 views27 reactions3 Starsread 1 October 2026
Video

Надоел асфальт? Мы запускаем направление трейлраннинга 🌟 Ты уже бегаешь — набережная, стадион, круги по парку, всё выучено до метра. Трейл начинается там, где заканчивается эта привычка. Тропы, холмы, лес, корни под ногами и подъёмы, на которых забываешь про темп. Секунды здесь никого не волнуют. Волнует другое — дойти, увидеть, вернуться другим. Это не бег с нуля. Это следующий шаг для тех, кто уже втянулся и хоч…

custom 535958137819313812912custom 52692999630403802876custom 53643476580203317326custom 53457804070255428513

Showing the 7 most recent of 7 posts we hold for @run_heart_club. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

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.

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 14 October 2026 — this entry's latest reading, not the date you are reading this.

“Run Heart - Беговой клуб” (@run_heart_club), 198 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/run_heart_club.

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.