5 measurements spanning 7 days, net -13. 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 3,220–3,237 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 01:14
3,222
-6
10 Aug 2026, 17:36
3,228
-6
8 Aug 2026, 01:36
3,234
-1
7 Aug 2026, 08:15
3,235
no change
7 Aug 2026, 08:03
3,235
first reading
Engagement
16 posts held, back to 21 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 3 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
17.9%
avg views ÷ 3,222 subscribers
Avg views / post
577
16 posts measured
Reaction rate
2.81%
reactions ÷ views · ER floor
Posts in window
16
of 16 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
Window
Rolling 30 days · latest post in window 6 August 2026
Posts held
16 (21 July 2026 – 6 August 2026)
Views total
9,238
Reactions total
260
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 23:40 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
7m 20s
Average length
1m 13s
Measured directly from 6 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
260 reactions across 16 posts, in 10 distinct kinds. The most used accounts for 47.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
124
47.7%
👍
56
21.5%
🔥
39
15.0%
custom 5307622818056260338
16
6.15%
😁
12
4.62%
❤🔥
7
2.69%
🤗
2
0.769%
🥰
2
0.769%
👏
1
0.385%
🤣
1
0.385%
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 16 of the 16 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 260reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 21 July 2026 to 6 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.
В руки попала заявка ФК «Академия Тольятти» на сезон 2012–2013 — Вторая лига, зона «Урал-Поволжье» 📝⚽️.
Смотрим внимательно на список: 👀
Минимум 4 человека из этого состава впоследствии играли в РПЛ, причём кто-то из них продолжает выступать на топ-уровне и сейчас 🏆🔥.
В заявке есть 1 игрок, который ныне является судьёй РПЛ (тогда он ещё выходил на поле)
Забавно, что в этом списке нет Крицюка, Морозова и Маргасова …
Как мы сходили на матч ЦСКА — Крылья Советов ⚽️🔴🔵
Вчера замотался, уже поздно было что-то выкладывать, так что делюсь эмоциями сегодня 😴✍️
Приехали на стадион — и я сразу на поле, к корреспонденту Матч ТВ 🎥⚽️ Был на разогреве матча (я уже рассказывал, что играл за обе команды — это особенно символично). Позадавали вопросы, получилось очень прикольно, мне безумно понравилось 😊
🎥 Смотрите видео с моего разогрева пер…
Едем всей семьёй на ЦСКА — Крылья.
Так получилось, что эти две команды в моей жизни переплелись.
С одной стороны, именно в матче с Крыльями я в 2013-м впервые вышел в РПЛ. Смешно: 90-я минута, пара касаний, а помню до сих пор. Фото нет, зато видео нашли — показываю.
С другой стороны, я сам потом надевал самарскую футболку, и мы с Крыльями выиграли ФНЛ. Для меня тот трофей стал уже вторым — так что Самара тоже остав…
С жеребьёвкой Кубка Лиги разобрались, теперь к делам насущным 👇
Короче, собрал для вас два места, где можно быстро и вкусно поесть. Надо же где-то обсуждать расклады и просто нормально перекусить.
🥙 Первое — ливанская шаурма на Новослободской. Сочно, необычно, ничего похожего не пробовал. Рекомендую:
https://www.instagram.com/reel/DbYwxvBKPn_/?igsh=MWtiM3k4MjlibDE3MA==
🌯 Второе — классика в Коммунарке. Вот прям та…
Распорядок дня на сегодня:
1. Урок английского языка в Lingva family ✔️
2. Провести индивидуальную тренировку ✅
3. Провести свою тренировку ✅
4. Отвезти дочку на скорочтение ✅
5. Приготовить плов в казане ✅
Сходили вчера на первый матч сезона — ЦСКА с Балтикой. Начало, конечно, пропустили: всё-таки у меня теперь две женщины в семье, и фраза «мне нечего надеть» звучит в два голоса. Раньше слышал от одной, теперь от обеих😁Ну да ладно.
Пропустили всего 5 минут, а Балтика уже забить успела. Но армейцы быстро пришли в себя — два забили ещё до перерыва. Матч, как по мне, полностью под диктовку ЦСКА прошёл: мяч держали, момен…
Showing the 12 most recent of 16 posts we hold for @efa_22. 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 — 411,888 of 1,336,469entries 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
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 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.
“𝔼𝔽ℝ𝔼𝕄 𝟚𝟚” (@efa_22), 3,222 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/efa_22.
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.