Sports — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 21 September 2026 and assigned it the closest of 31 fixed categories, at 94% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
5 measurements spanning 41 days, net -4. 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 488–496 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 21:41
489
-2
25 Aug 2026, 01:46
491
-4
16 Aug 2026, 18:19
495
+2
8 Aug 2026, 04:20
493
no change
7 Aug 2026, 13:38
493
first reading
Engagement
20 posts held, back to 26 July 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
6m 49s
Average length
31s
Measured directly from 13 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
100 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 35.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
35
35.0%
🔥
24
24.0%
💯
22
22.0%
❤
16
16.0%
custom 5199620101552236542
1
1.00%
🎉
1
1.00%
🥴
1
1.00%
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 is 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 20 of the 20 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 100 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 26 July 2026 to 7 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.
Встречаем пятницу интересным фактом о фехтовании 🤺
А вы знали, что фехтовальная дорожка имеет ширину всего 1,5–2 метра? При этом спортсмены на высокой скорости постоянно перемещаются вперёд и назад, стараясь не выйти за её пределы.
Представьте: несколько метров пространства, два соперника, клинки и доли секунды на решение😮 Именно поэтому умение чувствовать дистанцию и контролировать каждое движение ногами — одна из…
👨🦽 Что общего у спортсмена на коляске и олимпийского чемпиона?
На первый взгляд — ничего.
Разные истории. Разные возможности. Разный путь.
Но если посмотреть на тренировку внимательнее, становится понятно: их объединяет гораздо больше, чем кажется.
Оба выходят на дорожку с волнением.
Оба учатся справляться с поражениями.
Оба снова и снова отрабатывают одно и то же движение, пока оно не станет точным.
Оба знают, чт…
Проект Фехтование на равных набирает обороты. Совсем скоро пройдут отборочные Турниры по проекту и Семейный выезд, а пока смотрите, как мы реализуем проект
Проект реализуется при поддержке Фонда президентских грантов
Наши тренировки в рамках проекта Фехтование на равных
При поддержке фонда президентских грантов
(Используется инвентарь, приобретение которого стало возможным благодаря средствам гранта)
Начинаем рабочую неделю с интересного факта о фехтовании 🤺
А вы знали, что у каждого вида оружия в фехтовании своя разрешённая зона поражения? В шпаге можно наносить уколы по всему телу, в рапире засчитываются попадания только в корпус, а в сабле — по всему телу выше линии пояса, включая руки и маску.
Именно поэтому спортсмены, выступающие разными видами оружия, используют совершенно разные тактики. Одни ищут возмо…
Тренировки летом - подготовка к сезону!
ОФП в инклюзивных группах по проекту Фехтование на равных
Реализуется при поддержке Фонда Президентских Грантов
Встречаем пятницу интересным фактом о фехтовании 🤺
А вы знали, что фехтовальщики не смотрят под ноги, хотя работа ног считается основой всего поединка? Все передвижения — шаги, выпады, отступления и смена дистанции — выполняются практически автоматически, благодаря тысячам повторений на тренировках.
Именно поэтому спортсмен может полностью сосредоточиться на сопернике, не отвлекаясь на то, куда поставить ногу. В фе…
👍3💯2🔥2
Showing the 12 most recent of 20 posts we hold for @TFF_63. 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Тольятти | События | Подслушано @Tolyatti_podslushal · 35,990 Telegram ranks this channel #11 of 53 here — alongside 52 others — read 2 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Фехтование Тольятти и Жигулевск_ТФФ” (@TFF_63), 489 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/TFF_63.
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.