Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 55% 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
66 measurements spanning 96 days, net -1,691. 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 114,646–127,975 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)
Subscribers
Change
10 Nov 2026, 04:08
123,028
-412
8 Nov 2026, 20:01
123,440
+4,681
7 Nov 2026, 13:10
118,759
-2,262
6 Nov 2026, 16:36
121,021
-539
5 Nov 2026, 19:38
121,560
-978
4 Nov 2026, 20:36
122,538
-506
3 Nov 2026, 17:56
123,044
-987
2 Nov 2026, 19:21
124,031
-460
1 Nov 2026, 21:18
124,491
-182
31 Oct 2026, 23:36
124,673
-452
30 Oct 2026, 21:28
125,125
+3,737
29 Oct 2026, 19:08
121,388
-248
28 Oct 2026, 17:01
121,636
-455
27 Oct 2026, 13:37
122,091
-335
26 Oct 2026, 14:16
122,426
-129
25 Oct 2026, 16:36
122,555
-122
24 Oct 2026, 14:38
122,677
-158
23 Oct 2026, 16:55
122,835
-188
22 Oct 2026, 13:16
123,023
-231
21 Oct 2026, 08:48
123,254
first reading
Engagement
1,178 posts held, back to 5 August 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 196 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.28%
avg views ÷ 123,028 subscribers
Avg views / post
1,570
373 posts measured
Reaction rate
0.32%
reactions ÷ views · ER floor
Posts in window
373
of 1,178 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. It is computed over the 372 of 373 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
1,178 (5 August 2026 – 10 November 2026)
Views total
586,749
Reactions total
1,872
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 04:06 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
Photos
≈23,000
Videos
≈3,520
Links
≈17,500
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
3h 43m
Average length
1m 00s
Measured directly from 223 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
5,190 reactions across 997 posts, in 9 distinct kinds. The most used accounts for 40.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
2,095
40.4%
❤
2,070
39.9%
🔥
663
12.8%
🙏
108
2.08%
😱
104
2.00%
💅
59
1.14%
🤣
50
0.963%
👎
28
0.539%
🤬
13
0.25%
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 997 of the 1,000 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 5,190 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 21 August 2026 to 10 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: 55 of 373 posts held from the last 30 days (14.7%) 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).
😴 Этот вторник подходит к концу, можно и себе дать паузу
Спасибо, что были с нами сегодня. Пусть ночь будет доброй и уютной.
Увидимся завтра — нам точно будет о чем рассказать.
Фото: Telegram-канал kary_noss
Подписаться на «Вечернюю Москву» // «ВМ» в MAX
👉👉👉 Награды для московских полицейских, юбилейная выставка уличного искусства и новая жизнь для сотен тонн ненужных вещей — что еще сегодня обсуждалось в столице? Читайте сводку городских новостей за день:
▫️ Сергей Собянин вручил почетные грамоты сотрудникам московской полиции
▫️ Юбилейная выставка уличного искусства НЕТСТЕН открылась в Москве
▫️ Галерея под землей: в московском метро запустили поезд с картинами …
🍔 Фастфуд, колбасы, полуфабрикаты, сладости, снеки и продукты с длительным сроком хранения — привычная часть рациона многих людей. Но за удобством и ярким вкусом может скрываться серьезная нагрузка на организм
Врач-диетолог, кандидат медицинских наук Елена Соломатина рассказала, как ультраобработанные продукты могут влиять на наше здоровье. Разберем основные моменты:
🥦Нарушают баланс кишечной микрофлоры
В таких прод…
🏛 Легендарная Петровка, 38 — гроза всех представителей криминального мира
От этих слов в свое время содрогались многие недобросовестные граждане, боясь попасться на крючок «муровцам».
Даже те, кто не живет в Москве, отлично знают этот адрес. О работниках Московского уголовного розыска создано немало фильмов и книг. Приключения Глеба Жеглова и Володи Шарапова, расследования «Знатоков» и героев фильма «Петровка, 38» …
🤝 Сергей Собянин поздравил сотрудников столичной полиции с профессиональным праздником
Мэр поблагодарил правоохранителей за мужество, ответственность, преданность профессии и добросовестную службу. Он также отметил, что уровень преступности в столице снижается, а полиция надежно обеспечивает правопорядок и спокойную жизнь миллионов москвичей.
— Желаю вам и вашим близким крепкого здоровья, благополучия, душевного теп…
📰 Эксклюзивы «Вечерней Москвы» из нового газетного выпуска — в удобной подборке
▫️ Набережные создают имидж столицы
Километры у реки стали благоустроенными пространствами
▫️ А на нашей улице праздник
Где в столице уже работают главные новогодние локации
▫️ Вас везет экскурсовод
Как водителей такси будут учить гостеприимству
▫️ Профессор зовет на елку
Куда сходить на Всемирный день науки в Москве
▫️ От мороза защ…
❤️ Московские врачи смогут сопровождать пациентов после выписки прямо через приложение «ЕМИАС.ИНФО»
В приложении появился новый формат онлайн-взаимодействия между врачами и пациентами с сердечно-сосудистыми заболеваниями или риском их развития. Теперь москвичи смогут получать персональные рекомендации и план дальнейших действий непосредственно от лечащего врача, сообщила заммэра Москвы по вопросам соцразвития Анаст…
🤔 Почему нацистская Германия называлась Третьим рейхом?
Само название предполагает существование двух предшествующих империй. Какие государства стали Первым и Вторым рейхами и действительно ли между ними существовала прямая историческая связь?
Как возникли первые два образования, какое наследие они оставили и почему нацистская идеология стремилась представить собственный режим их историческим преемником?
👉 Об этом…
🚀 В Москве стартовал прием заявок на гранты для малого и среднего бизнеса
Московские предприниматели могут получить финансовую поддержку на развитие своего дела. Грант позволяет компенсировать часть затрат на покупку и лизинг оборудования, а также проценты по кредитам на развитие деятельности, рассказала заммэра Москвы Наталья Сергунина.
✅ На какую поддержку можно рассчитывать?
▫️ возмещение 50% расходов на отечест…
👮♂️ 10 ноября — День сотрудников органов внутренних дел!
За каждым спокойным днем в столице стоит ежедневная работа людей, которые обеспечивают безопасность жителей и гостей города.
Москва — наиболее безопасный для проживания город России. Только за девять месяцев в столице зарегистрировано 76 987 преступлений, из них 34 408 — с использованием информационно-коммуникационных технологий. При этом раскрываемость кибе…
🤖/👨⚕️ Заменит ли искусственный интеллект врача? И каким будет здравоохранение будущего?
ИИ сегодня постепенно становится частью российской медицины. Нейросети анализируют рентгеновские снимки, помогают выявлять патологии, расшифровывают разговоры врачей с пациентами и даже проводят первичный скрининг состояния здоровья.
По данным, озвученным министром здравоохранения Михаилом Мурашко, в клиниках, активно использую…
😴 У каждого есть свой способ справиться с усталостью, отвлечься от повседневных забот и восстановить силы. А как это делают звезды шоу-бизнеса?
Своими секретами отдыха, любимыми способами расслабиться и небольшими ритуалами, которые помогают вернуть энергию и хорошее настроение, знаменитости поделились с «Вечерней Москвой». Смотрите карточки!
Подписаться на «Вечернюю Москву» // «ВМ» в MAX
❤3🔥2
Showing the 12 most recent of 1,178 posts we hold for @vmoskva. 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.
Posts edited after publishing
@vmoskva edited 2 posts 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
22 October 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 8 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 23 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Вечерняя Москва - Новости @vm_daily · 19,269 Telegram ranks this channel #3 of 89 here — alongside 88 others — read 24 September 2026
Metro Москва @gazetametro · 21,098 Telegram ranks this channel #22 of 86 here — alongside 85 others — read 23 September 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Вечерняя Москва” (@vmoskva), 123,028 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/vmoskva.
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.