National news — 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 78% 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 the other topics.
Growth
26 measurements spanning 94 days, net +388. 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 5,661–6,165 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
7 Nov 2026, 21:47
6,107
+16
4 Nov 2026, 22:54
6,091
+57
1 Nov 2026, 22:01
6,034
+2
29 Oct 2026, 23:57
6,032
+31
26 Oct 2026, 21:59
6,001
-4
23 Oct 2026, 20:59
6,005
+3
21 Oct 2026, 00:01
6,002
-16
17 Oct 2026, 14:31
6,018
+18
14 Oct 2026, 16:16
6,000
-5
11 Oct 2026, 06:57
6,005
+13
5 Oct 2026, 06:20
5,992
+102
27 Sept 2026, 05:00
5,890
-3
18 Sept 2026, 01:36
5,893
+23
14 Sept 2026, 01:19
5,870
+14
10 Sept 2026, 05:21
5,856
+30
4 Sept 2026, 19:16
5,826
+4
31 Aug 2026, 22:39
5,822
+5
28 Aug 2026, 22:03
5,817
+27
25 Aug 2026, 20:54
5,790
-8
22 Aug 2026, 13:25
5,798
first reading
Engagement
70 posts held, back to 31 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.
ERR · 30 days
18.4%
avg views ÷ 6,107 subscribers
Avg views / post
1,130
26 posts measured
Reaction rate
2.93%
reactions ÷ views · ER floor
Posts in window
26
of 70 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 5 November 2026
Posts held
70 (31 July 2026 – 5 November 2026)
Views total
29,278
Reactions total
859
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 16:59 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
3m 10s
Average length
1m 03s
Measured directly from 3 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
1,465 reactions across 60 posts, in 35 distinct kinds. The most used accounts for 19.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
279
19.0%
🤬
265
18.1%
👍
164
11.2%
🔥
151
10.3%
💯
102
6.96%
👏
62
4.23%
🙈
55
3.75%
🤔
43
2.94%
🤯
43
2.94%
🥰
33
2.25%
😱
30
2.05%
✍
27
1.84%
💩
24
1.64%
😡
24
1.64%
😁
21
1.43%
😢
20
1.37%
🙏
19
1.30%
🤣
16
1.09%
😨
15
1.02%
😭
10
0.683%
15 further kinds
62
4.23%
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 70 of the 70 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 1,739 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 70 most recent posts we hold, published 31 July 2026 to 5 November 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
Telegram’s own ‘edited’ marker: 8 of 26 posts held from the last 30 days (30.8%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Доставим быстро! Ценой чужой жизни...
Вот вам статистика ГИБДД за 2026 год: 2823 ДТП из-за водителей СИМ*, 51 из них – смертельные. Можно только гадать, сколько аварий спровоцировали лютые курьеры...
Друзья, вас или ваших знакомых сбивали доставщики на электротранспорте? За это никто не ответил?
Расскажите свою историю в комментариях – мы осветим её в программе и разберёмся, что делать, когда преступника и след пр…
🎩 "Мы в курсе" в аудиоформате — слушайте, где вам удобно!
🎤 Разбирались, как лекарства "путешествуют" из страны в страну и где эта дорога становится опасной.
1️⃣2️⃣3️⃣4️⃣
00:00 — 5 ноября. Главные события
08:22 — Таблеточный трафик: проблема "серого рынка" в России. Обсуждаем с Вадимом Кочкиным, председателем комитета по фармацевтической деятельности Национальной ассоциации управленцев сферы здравоохранения
20:4…
Вперёд!
🔴🔴🔴🔴🔴🔴🔴 — СМОТРЕТЬ
Погружаемся в мир лекарств!
Всё‑всё о подпольных аптеках, "пустышках" на полках, и БАДах. Что нужно знать, если везёте препарат из‑за границы, и как вообще лечиться в 2026 году — разбираемся вместе с экспертами.
🎓"Мы в курсе" в Telegram
❗️ "Мы в курсе" в MAX
Никогда такого не было и вот опять
23-летняя Нина, отдыхая во Вьетнаме, получила лекарственное поражение печени из-за местных биодобавок.
Месяцами её орган бессимптомно убивал препарат для сна – девушка заметила это только после планового "чекапа". Тогда вьетнамский врач прописал БАД для печени.
Итог: печёночные ферменты почти в 14 раз выше нормы.
Нина вернулась в Россию, посетила местного врача, чудо-капсулы пить…
Из чемодана — в даркнет: кто и зачем гонит лекарства в тёмную?
Раньше из поездок везли магнитики, теперь — коробки с таблетками: "аптечный туризм" прочно вошёл в обиход. Турция, Таиланд — почти "медикаментозные хабы" для наших путешественников.
Но у этой привычки есть неприятная изнанка: часть привезённого вовсе не оседает в домашних аптечках, а уходит на теневой рынок. Чаты, сомнительные сайты, даркнет — там запро…
4-го ноября в России — праздник Казанской иконы Пресвятой Богородицы, День народного единства и победы русского народа над Смутой.
Наша общность — это мудрость, трудолюбие и мужество русского государствообразующего народа. Без его культуры и ценностей — не быть России.
Верно сказал в эфире "Мы в курсе" Михаил Матвеев, депутат Самарской Губернской Думы:
"Только русский народ, от Камчатки и до Калининграда, был стро…
🎩 "Мы в курсе" в аудиоформате — слушайте, где вам удобно!
🎤 Эфир про День народного единства. Вернее про то, как все видят его по‑своему.
1️⃣2️⃣3️⃣4️⃣
00:00 — #ТЕМЫ_ДНЯ пыточная под Киевом и "дружбанародный" фестиваль в Смоленске
05:22 — Как 4 ноября превратили в "день плова и тюбетеек". Рассказывает Михаил Матвеев, депутат Самарской Губернской Думы
20:53 — "Государство будет вращаться либо вокруг русского народ…
Мигранты им милее...
🔴🔴🔴🔴🔴🔴🔴 — СМОТРЕТЬ
Дню народного единства 21 год, а у нас снова пловный пир – теперь уже в Смоленске, который не понаслышке знает про Смутное время...
Русских даже не показывают в праздничных репортажах, а ещё пошёл слух о том, что в одной школе деток одевают в народные костюмы соседних республик. Провокация?
Вишенка на торте – в Госдуме отклонили аж 6 жёстких миграционных инициатив.
Кто продв…
Пазл Госдумы: главный защитник приезжих — главный по вопросам миграции
438 голосов — и Затулин снова в спецпредставителях. На первый взгляд — карьерная стабильность, на деле — вызов: человек, который системно бьётся за права приезжих и будто намеренно не замечает их обязанностей — получает ключевую должность.
С поста зампреда комитета по делам СНГ ушёл, но главный рычаг остался: Институт стран СНГ (он же "Институт …
4 ноября: 21 год отмечаем “незнамо как”
День народного единства: есть в календаре, есть в новостях, а вот в быту его почти не видно. Своего "осязаемого" ритуала у праздника так и не появилось. А между тем в этой дате — целая эпоха: времена, когда страна сообща давала отпор угрозе и сообща же решала, кому стоять у руля.
Причём 47 % опрошенных считают, что отмечать этот день нужно. Но почти половина из них признаётся…
Друзья, чем ваш город порадует на День народного единства?
Фестивалем плова? Русских нарядят в узбеков? На центральной площади в огромном чане сварят лагман?
Расскажите, покажите – фото, видео, афиши, анонсы приветствуются!
🙈55😡15🤨6😎2
Showing the 12 most recent of 70 posts we hold for @afonina_news. 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
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 24 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. The 23 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@afonina_news named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@tsargradtv named in 3 posts, 8 August 2026 – 9 August 2026 · confirmed gone 15 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Мы в курсе с Еленой Афониной” (@afonina_news), 6,107 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/afonina_news.
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.