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Channel

simashkina_bmx

@bmx_simashkina

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

393subscribers

+3 since we began measuring on 9 October 2026

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

Register entry

Telegram ID-1001665298660
TypeChannel
Username@bmx_simashkina
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 October 2026
Last confirmed live13 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 October 2026
On Telegramt.me/bmx_simashkina

Growth

390393391.59 October 2026 — 390 subscribers9 October 2026 — 390 subscribers13 October 2026 — 393 subscribers9 October 202613 October 2026
3 measurements spanning 4 days, net +3. 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 390–393 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Oct 2026, 10:41393+3
9 Oct 2026, 17:22390no change
9 Oct 2026, 16:47390first reading

Engagement

10 posts held, back to 3 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
140.4%
avg views ÷ 393 subscribers
Avg views / post
552
7 posts measured
Reaction rate
5.38%
reactions ÷ views · ER floor
Posts in window
7
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 9 October 2026
Posts held10 (3 September 2026 – 9 October 2026)
Views total3,863
Reactions total208
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Oct 2026, 17:22 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
2m 19s
Average length
17s

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

275 reactions across 10 posts, in 14 distinct kinds. The most used accounts for 37.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10437.8%
💔8832.0%
🔥207.27%
😱176.18%
😨103.64%
❤‍🔥72.55%
👍51.82%
🙏51.82%
🥰51.82%
😐41.45%
👏31.09%
💯31.09%
💘20.727%
🤬20.727%

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 275 reactions 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 3 September 2026 to 9 October 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

9 Oct 2026, 16:03 UTC526 views27 reactionsread 9 October 2026
Video

У меня есть не очень приятные новости 📰 Со мной все хорошо, после падения я тренировалась на полную 🚲 Но после официальной тренировки, ко мне подошли сотрудники UCI и сообщили такую новость: «На прошлой недели вы упали и по заключению врача, где вы проходили обследование, у вас диагностировали «сотрясение мозга». И поэтому мы вас отстраняем от соревнований, которые пройду в эти выходные» 😓 Не буду комментировать о…

😱17😐4💯3🤬2❤1

4 Oct 2026, 10:33 UTC531 views89 reactionsread 9 October 2026
Photo

Так прошел мой 6 этап Кубка Мира 😰 Все 2 дня себя чувствовала не очень, по сравнению с тем, какое состояние было по приезде и на тренировках(было совсем по-другому). Старалась слушать свое тело, но при этом хотелось показать себя после долгого восстановления и подготовки… Перед last chance долго анализировала куда мне встать (я выбирала первая), но оказалось очень узко думала и это привело меня к падению 💔 Все подр…

💔53❤21😨10🙏5

3 Oct 2026, 07:25 UTC467 views39 reactionsread 9 October 2026
Video

Со мной все хорошо, подробности чуть позже ❤️‍🩹

💔35❤4

2 Oct 2026, 03:54 UTC454 views10 reactionsread 9 October 2026

Внимание ‼️ В категории Андеры 23 женщины По итогу едут 16 девушек, получается мы сразу едем финал. НО: Из 1 раунда выходят 2 человека и из last chance выходят тоже 2 человека 🥺

❤‍🔥6❤4

2 Oct 2026, 03:47 UTC860 views13 reactionsread 9 October 2026
Video message

Video message, posted without a caption

🔥10❤2❤‍🔥1

1 Oct 2026, 04:34 UTC451 views13 reactionsread 9 October 2026
Forwarded from @VikaSika_155Video

Вчера Настюха @aterebova решила порадовать нас с Сашей @miss_lol_372 неожиданным подарком — было очень приятно его получить. Когда это ещё делается просто так, без какого-либо повода. В коробке была одна из серий «Зверополиса», и мы не знали, кто попадётся. Я же, конечно, на видео всё спалила, ахахах Настюха, спасибо за такие эмоции — это очень ценно и приятно ❤️

❤13

21 Sept 2026, 11:39 UTC574 views17 reactionsread 9 October 2026
Video

Мини-сбор в Казахстане уже как 2 дня закончен 🇰🇿 Только сейчас пишу сюда. Да, я ленивая попа и что вы мне сделаете?) Большинство знают зачем мы туда ехали 👆 И мы это получили, ураааааа! Всему быть 🤪 Астана нас порадовала небольшими пампами, всего 3 пампа, но покатались только на 2-х. Была удивлена ребятами местными, они не стеснялись нас закидывать вопросами «Что это у вас? Вы откуда? Можно покататься? Что у вас за…

❤17

14 Sept 2026, 15:40 UTC≈1,250 views28 reactionsread 9 October 2026
Photo

Думаю, уже все в курсе, либо те люди, которые были на заключительных гонках в Москве 😊 С возвращением меня 🤩 Невероятные ощущения! Да, приходится начинать заново, что такое этот велосипед, но так кайфово снова заниматься своим любимым делом 🥰 Сейчас у нас проходит мини сбор в Казахстане, в городе Астана 🇰🇿 Основная цель податься на визу и получить ее, держим за нас всех кулачки 🌝 Между делами не забываем о трениров…

❤17👍5🔥3💘2👏1

11 Sept 2026, 10:05 UTC614 views21 reactionsread 9 October 2026
Video

Не отлипаю от ваттбайка ни на день, но он та часть тренировок, который не дает мне отставать, ауф ☝️ Как до этого не любила тренироваться на нем, так еще больше его ненавижу 🤢 Восстановление руки идет полным ходом, можно сказать даже хорошо, как любят говорить спортсмены “step by step”. В принципе ничего нового, двигаюсь дальше…

❤14🔥7

3 Sept 2026, 07:40 UTC698 views18 reactionsread 9 October 2026
Photo

Вот и все, лето закончилось 🤧 Столько всего произошло и так быстро, что даже не успела оглянуться … Верните лето навсегда ✔️ Скучаю, не могу уже дождаться 😅

❤11🥰5👏2

Showing the 10 most recent of 10 posts we hold for @bmx_simashkina. 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

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

“simashkina_bmx” (@bmx_simashkina), 393 subscribers as measured 13 October 2026. Telegram Register, tgregister.com/channel/bmx_simashkina.

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.