Telegram RegisterThe public register of Telegram

Channel

Беговой клуб Луизы Лега ЛЛбег / LLrun

@llegarun

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

540subscribers

+1 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1003633756485
TypeChannel
Username@llegarun
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/llegarun

Growth

539540539.56 August 2026 — 539 subscribers6 August 2026 — 539 subscribers14 August 2026 — 540 subscribers6 August 202614 August 2026
3 measurements spanning 8 days, net +1. 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 539–540 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 19:26540+1
6 Aug 2026, 18:19539no change
6 Aug 2026, 14:37539first reading

Engagement

10 posts held, back to 21 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
128.2%
avg views ÷ 540 subscribers
Avg views / post
692
3 posts measured
Reaction rate
5.30%
reactions ÷ views · ER floor
Posts in window
3
of 10 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 28 July 2026
Posts held10 (21 June 202628 July 2026)
Views total2,077
Reactions total110
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 18:19 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.

Reaction mix

379 reactions across 10 posts, in 11 distinct kinds. The most used accounts for 47.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
17947.2%
🔥7319.3%
❤‍🔥4812.7%
🏆266.86%
🤩225.80%
custom 5348443527267260585133.43%
👍82.11%
🍾30.792%
👏30.792%
20.528%
💯20.528%

Custom emoji. One 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 count beside it isTelegram’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 10 of the 10 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 379reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 21 June 2026 to 28 July 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

28 Jul 2026, 11:24 UTC228 views42 reactionsread 6 August 2026
Photo

Всем бег! Начать бегать легко. Гораздо сложнее сделать так, чтобы бег остался в жизни надолго. Сначала все держится на мотивации и задоре: новое занятие, новая форма, первые километры, желание изменить себя, подготовка к первому старту. Но мотивация не может работать постоянно. В какой-то момент появляются усталость, работа, плохая погода, дела и обычное нежелание выходить на тренировку или классические переносы на с

27❤‍🔥10🤩3💯2

25 Jul 2026, 11:43 UTC≈1,490 views27 reactionsread 6 August 2026
Photo

⚡️ У нас новости - и это только начало! Впереди у нас много важных событий, новых форматов и больших изменений. Сегодня делимся первыми новостями - пока предварительно. Точные даты, расписание и подробный план мероприятий опубликуем немного позже. В конце августа в Москве будет находиться наш главный тренер - Михаил Павлович Кузнецов. В программе планируются открытые и групповые тренировки, лекции, встречи и другие

10🔥8❤‍🔥42🤩2custom 53484435272672605851

18 Jul 2026, 05:02 UTC359 views41 reactionsread 6 August 2026
Photo

Бег - как жизнь. Иногда кажется, что главная цель тренировок - личный рекорд или очередной старт. Но на самом деле самые важные победы происходят гораздо раньше: - когда впервые получается пробежать без остановки; - когда после рабочего дня появляется желание выйти на тренировку; - когда замечаешь, что пробежка, которая раньше казалась сложной, теперь проходит легко. Со временем начинаешь замечать, что дистанция восп

28🤩6❤‍🔥3🏆3custom 53484435272672605851

9 Jul 2026, 08:17 UTC≈2,020 views30 reactionsread 6 August 2026
Video

⚡ Основательница и тренер нашего бегового клуба Луиза Лега сейчас находится в Москве. Она полностью включается в процессы и развитие клуба, так что впереди у нас много совместной работы. Очередной важный старт позади, но сезон в самом разгаре, подготовка к следующим забегам продолжается. Кстати, наш набор учеников продолжается! 🏃‍♂️ Если вы давно хотели начать бегать или улучшить свои результаты, сейчас идеальное вре

19🔥7❤‍🔥2👍1🤩1

7 Jul 2026, 16:20 UTC448 views38 reactionsread 6 August 2026
Photo

Прошедшие выходные у нас были насыщенные, только приходим в себя 😁 Марафон «Белые ночи» 42.2 км: - Луиза Лега – 2:28:13, 3е место в абсолютном зачете, 1е место в национальном зачете, 2й результат в карьере. - Лозюк Сергей – 3:10:51, судорога задней поверхности бедра на 35м км заставила остановиться, шел на целевое время 2ч 59 минут. - Фомичев Семен – 5:19:08. Марафон «Белые ночи» 10 км: - Власова Дарья – 36:53; - Ч

🔥1514🏆5🍾2👍1👏1

4 Jul 2026, 23:34 UTC311 views50 reactionsread 6 August 2026
Forwarded from @wn_marathonVideo

Победительница национального зачёта СберПрайм марафона «Белые ночи» — Луиза Лега — 2:28:13 🔥

28🏆12❤‍🔥7👍3

30 Jun 2026, 09:51 UTC462 views29 reactionsread 6 August 2026
Forwarded from @wn_marathonPhoto

Переходим к кластеру элитных спортсменов на марафонской дистанции СберПрайм марафона «Белые ночи». В этой части — женщины, которые выйдут на старт главной дистанции. Кого выделяете для себя в этом составе?

❤‍🔥15🔥9🤩32

28 Jun 2026, 18:25 UTC483 views35 reactionsread 6 August 2026
Video

Давно не было нашей любимой рубрики «На бегу». Пора наверстывать упущенное… Сегодня наткнулись на пост одного известного реабилитолога, который говорит, что выносить бедро при беге - не надо. Давайте разберем, почему это неверное суждение и вынос бедра - это беговая база. Зачем вообще нужен вынос бедра в беге? Вынос бедра вперед-вверх - это базовый закон физики, на котором держится вся беговая эффективность и эконо

🔥18❤‍🔥75custom 53484435272672605853👍2

21 Jun 2026, 19:00 UTC451 views52 reactionsread 6 August 2026
Video

Луиза создала наш беговой клуб, в котором тренирует ребят и ведет их за собой. У нас самый лучший клуб, и это настоящая гордость Луизы. Для нее это не просто нагрузка, а то, что она искренне любит. Она вкладывает душу в учеников, делится опытом, переживает за каждого и радуется их успехам. В ее безумном графике поддержка ребят дает ей силы. Луиза смотрит на свою команду, где, кстати, главным тренером работает ее собс

36🤩7custom 53484435272672605857🔥2

21 Jun 2026, 14:59 UTC419 views35 reactionsread 6 August 2026
Photo

Прошел Ночной забег, в котором приняли участие ученики нашего клуба (Никита Чернышев, Марина Зайченко, Елена Кручинина, Мария Лазарева, Степан Лега). Сейчас ребята готовятся к своим главным стартам сезона, поэтому этот забег был для нас проходящим. Да и трасса была не скоростной, так что никаких погонь за личными рекордами, цель - сделать темповую тренировку. Павел Крот бежал на культовой ультрагонке - бэкярде Биотро

🔥1410🏆6👏2🍾1👍1custom 53484435272672605851

Showing the 10 most recent of 10 posts we hold for @llegarun. 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 — 875,532 of 1,340,412entries 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

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.

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

“Беговой клуб Луизы Лега ЛЛбег / LLrun” (@llegarun), 540 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/llegarun.

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.