Telegram RegisterThe public register of Telegram

Channel

fit_4_ref

@fit_4_ref

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

1,361subscribers

-5 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001719297638
TypeChannel
Username@fit_4_ref
Created26 February 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/fit_4_ref

Growth

1,3611,3671,3647 August 2026 — 1,366 subscribers7 August 2026 — 1,366 subscribers10 August 2026 — 1,367 subscribers14 August 2026 — 1,361 subscribers7 August 202614 August 2026
4 measurements spanning 7 days, net -5. 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 1,360–1,368 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 02:151,361-6
10 Aug 2026, 09:461,367+1
7 Aug 2026, 14:111,366no change
7 Aug 2026, 06:331,366first reading

Engagement

11 posts held, back to 16 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
44.0%
avg views ÷ 1,361 subscribers
Avg views / post
599
6 posts measured
Reaction rate
0.667%
reactions ÷ views · ER floor
Posts in window
6
of 11 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 3 August 2026
Posts held11 (16 June 20263 August 2026)
Views total3,596
Reactions total24
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 06:33 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

71 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 54.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3954.9%
🔥1216.9%
1115.5%
👏57.04%
45.63%

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 11 of the 11 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 71reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 16 June 2026 to 3 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.

Recent posts

3 Aug 2026, 05:14 UTC422 views4 reactionsread 7 August 2026

⚽ Технологии футбольного судейства Еженедельный дайджест | 3 августа 2026 1. Судейские камеры официально вошли в Правила игры С 1 июля 2026 года организаторы соревнований могут разрешать использование нагрудных или закреплённых на голове камер судьи. Камеры предоставляет организатор, который также контролирует применение и использование видеозаписей. Это важное изменение: referee bodycam перестаёт быть исключитель

👍3🔥1

29 Jul 2026, 09:14 UTC621 views3 reactionsread 7 August 2026
Forwarded from @cherepanov_lab

В марте этого года, в рамках подготовки судьи к ЧМ 2026 мы начали использовать датчики CORE. Гипотез было несколько: адаптация к жарким условиям чемпионата и понять, как меняется температура тела во время подготовки и матчей. За это время удалось собрать интересный материал: тренировки, тепловая адаптация, три матча чемпионата мира и последующий разбор данных вместе с командой CORE. В итоге компания подготовила об

1👏1🔥1

28 Jul 2026, 06:21 UTC606 views2 reactionsread 7 August 2026
Forwarded from @dr_ozolinPhoto

Действительно ли слабые ягодицы заставляют колено «валиться» внутрь? Мышцы слабые - бедро хуже контролируется - колено уходит внутрь - риск боли и травмы растёт. Резинка выдана. Средняя ягодичная приговорена к «активации». Всё. Только вот свежий систематический обзор эту красивую цепочку не подтверждает. Авторы собрали 22 исследования на здоровых людях без симптомов. Силу отводящих и наружных ротаторов бедра измер

2

28 Jul 2026, 06:21 UTC539 views1 reactionsread 7 August 2026

Судейство, как и профессиональный спорт, нередко сопровождается травмами. Марк — реабилитолог, который грамотно оценивает состояние после травмы, помогает подобрать оптимальную стратегию восстановления и вернуться к работе или тренировкам в адекватные сроки. Рекомендую подписаться на его канал!

1

27 Jul 2026, 06:47 UTC611 views2 reactionsread 7 August 2026

Chat GPT еженедельно присылает мне интересную для меня информацию из мира технологий в судействе и я решил дублировать её сюда ⚽ ТЕХНОЛОГИИ ФУТБОЛЬНОГО СУДЕЙСТВА Еженедельный дайджест | 27 июля 2026 1. Главный технологический итог ЧМ-2026 — скорость SAOT выросла, но прозрачность решений остаётся критическим вопросом По итогам чемпионата мира полуавтоматическая система определения офсайда и VAR получили положительн

1👍1

24 Jul 2026, 14:02 UTC797 views12 reactionsread 7 August 2026
Photo

Тренировка ассистентов судьи Интервальная пирамида: 8 × 15/15 Спринт-Приставной (П)-П(Л)-Спринт 2 мин отдых 4 × 30/30 С-П(П)-П(Л)-С-П(П)-П(Л)-С 2 мин отдых 2 × 45/45 С-П(П)-П(Л)-С-П(П)-П(Л)-С-С-П(П)-П(Л)-С 2 мин отдых 2 × 45/45 2 мин отдых 4 × 30/30 2 мин отдых 8 × 15/15 2 мин отдых В каждом отрезке чередуются спринты, перемещения правым и левым боком и переходы между ними. Визуальный стимул находится на дальней

👍84

13 Jul 2026, 12:15 UTC953 views1 reactionsread 7 August 2026

Недавно обсуждал с коллегами, что понравился стиль управления игрой не смотря на не сильно внушительные габариты. Интересное назначение на 1/2 финала ЧМ.

🔥1

11 Jul 2026, 06:26 UTC906 views3 reactionsread 7 August 2026
File

Уже больше года использую Tactics manager для создания тренировочных занятий в удобном формате. Месяца 3-4 назад оплатил подписку и собираю библиотеку тренировок в соревновательном периоде на разные тактические и технические задачи.

👍3

1 Jul 2026, 05:35 UTC≈1,200 views3 reactionsread 7 August 2026
File

SoccerRef-Agents: Multi-Agent System for Automated Soccer Refereeing Zi Meng, Wanli Song, Yi Hu, Jiayuan Rao, Gang Chen (2026) Цель исследования Разработка объяснимой мультиагентной системы искусственного интеллекта для поддержки принятия судейских решений в футболе, объединяющей анализ видео, Правила игры IFAB и исторические судейские прецеденты. Дополнительной целью являлось создание специализированного мультимода

🔥21

26 Jun 2026, 17:34 UTC≈1,080 views36 reactionsread 7 August 2026
Photo

Сохраняя историю Недавно мне передали уникальный материал — учебный фильм «Программа по физической подготовке футбольных арбитров», созданный в 2003 году Алексеем Николаевичем Спириным и Андреем Дмитриевичем Будогосским. Мне удалось оцифровать этот диск, чтобы сохранить его и сделать доступным для всех, кто интересуется историей подготовки футбольных арбитров. К сожалению, сегодня ни Алексея Николаевича, ни Андрея

👍20🔥75👏4

16 Jun 2026, 18:13 UTC≈2,000 views4 reactionsread 7 August 2026
Photo

Технологии охлаждения становятся новой реальностью современного футбола Этот пост про те тренды которые нам диктует современный футбол и ЧМ 2026 это отличный источник чтобы следить за ними. На официальном нельзяграм-канале сборной Испании появились фотографии новой системы Adidas CLIMACOOL, которую команда использует в подготовке к чемпионату мира. По информации производителя, охлаждающие жилеты способны снижать те

👍4

Showing the 11 most recent of 11 posts we hold for @fit_4_ref. 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 — 227,569 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

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.

“fit_4_ref” (@fit_4_ref), 1,361 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/fit_4_ref.

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.