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 12 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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
16 measurements spanning 44 days, net +168. 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 6,863–7,107 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 18:01
7,059
-3
14 Sept 2026, 19:41
7,062
-8
11 Sept 2026, 12:35
7,070
+1
7 Sept 2026, 00:42
7,069
-7
2 Sept 2026, 17:48
7,076
-3
31 Aug 2026, 02:25
7,079
+35
28 Aug 2026, 12:34
7,044
+12
25 Aug 2026, 21:34
7,032
+29
22 Aug 2026, 12:36
7,003
+8
19 Aug 2026, 02:46
6,995
+6
16 Aug 2026, 08:55
6,989
+27
12 Aug 2026, 14:37
6,962
+28
9 Aug 2026, 23:33
6,934
+40
6 Aug 2026, 22:53
6,894
+3
6 Aug 2026, 03:17
6,891
no change
5 Aug 2026, 23:29
6,891
first reading
Engagement
27 posts held, back to 8 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 12 pages 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 27 posts for this entry, the most recent from 18 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
10m 01s
Average length
38s
Measured directly from 16 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
2,462 reactions across 24 posts, in 36 distinct kinds. The most used accounts for 40.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
988
40.1%
❤🔥
502
20.4%
🔥
465
18.9%
🤯
75
3.05%
🤩
72
2.92%
👍
67
2.72%
💯
58
2.36%
⚡
53
2.15%
😱
21
0.853%
🏆
19
0.772%
💘
19
0.772%
🎉
17
0.69%
custom 5330277975973715099
16
0.65%
😍
16
0.65%
🥰
9
0.366%
🫡
9
0.366%
custom 5470019826485329079
7
0.284%
💋
6
0.244%
custom 5449759615346548186
5
0.203%
🤝
5
0.203%
16 further kinds
33
1.34%
Custom emoji. 3 of the rows above are 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 27 of the 27 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 2,824 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 8 July 2026 to 18 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.
Telegram Stars
Stars received
14
across the posts below
Posts paid on
8
of 27 we hold a reading for · 30%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @fedskate. 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 27 most recent posts we hold for this entry, published 8 July 2026 to 18 August 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.
Максим Лаллав, пионер адаптивного скейтбординга в России и мире, отмечает 17-летие!
Президент Федерации скейтбординга и роллер спорта России Илья Вдовин поздравил спортсмена:
«Адаптивный скейтбординг только набирает обороты, но Максим уже стал одним из самых узнаваемых спортсменов в этом сообществе.
В марте в бразильском Сан-Паулу одновременно с Чемпионатами мира в обеих олимпийских дисциплинах прошёл первый в ист…
Приглашаем на очередную тренировку от проекта «Лето в Москве»
Мария Ожигова, член сборной России по скейтбордингу, проведёт бесплатный мастер-класс 22 августа с 10:00 до 11:00 на площадке по адресу: Профсоюзная ул., вл. 41.
Мария поделится своим опытом, покажет полезные упражнения, разберёт технику выполнения элементов и ответит на вопросы участников
Участие бесплатное, по предварительной регистрации. Выбирая врем…
🥇 Платон Чирва | Москва | 58,67 балла
🥈 Александр Гусев | Москва | 44,00 балла
🥉 Никита Мочалкин | Санкт-Петербург | 39,50 балла
Спартакиада народов России завершена
В Казани завершились соревнования по скейтбордингу в рамках Спартакиады народов России 2026
Спасибо всем, кто стал частью этих соревнований: спортсменам за крутые выступления, тренерам за подготовку и поддержку, судьям за профессиональную работу, орга…
Финал Спартакиады народов России в дисциплине «парк» | женский зачет
🥇 Вера Навалихина | Москва | 35.33
🥈 София Тишаева | Москва | 28.67
🥉 Злата Козлова | Тюменская область | 28.10
Поздравляем победительниц и спасибо всем участницам за классное, амплитудное катание
Впереди финалы в мужском зачете
Сегодня с самого утра интернет пестрит новостями о спецпроекте испанского скейтбордиста Danny Leon, который синхронизировал свой трюк с солнечным затмением
Видео уже набрало больше 50 миллионов просмотров и выглядит как полноценная брендовая кампания с большим продакшеном
Но за проектом стоит небольшая команда друзей во главе с Goncalo Gonzalez de Vega, оператором и FPV пилотом, чьи кадры мы часто видим на SLS. Вме…
Финал Спартакиады народов России в дисциплине «улица» мужской зачет
🥇 Савва Востоков | Москва | 143,33 балла
🥈 Егор Голубев | Санкт-Петербург | 125,67 балла
🥉 Егор Кальдиков | Москва | 121,00 балл
Поздравляем победителей и призёров! И спасибо всем участникам. Отдельно благодарим команды организаторов и трансляции
А дальше нас ждет дисциплина «парк»
🛹 Финал Спартакиады народов России в дисциплине «улица» женский зачет
🥇 Рада Терещенко | Тюменская область | 62,33 балла
🥈 Мария Ожигова | Москва | 53,53 балла
🥉 Анастасия Антонова | Санкт-Петербург | 41,17 балла
Поздравляем Раду, Марию и Анастасию с медалями
И отдельное спасибо всем финалисткам. Девчонки, вы большие молодцы! Продолжайте участвовать в соревнованиях и прогрессировать, у вас классно получается!
Смотрите прямой эфир соревнований уже сейчас по ссылке:
https://vk.ru/wall-150050521_7814
❤10🎉4
Showing the 12 most recent of 27 posts we hold for @fedskate. 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.
Posts edited after publishing
@fedskate edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
8 August 2026
Most recent edit
8 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 5 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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Федерация скейтбординга России” (@fedskate), 7,059 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/fedskate.
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.