National news — 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 17 August 2026 and assigned it the closest of 31 fixed categories, at 46% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far below this size band
12.4 average views per post against 12,433 subscribers — an engagement rate of 0.1%. Across the 21,335 registered channels in the same cohort — 10,000–31,621 subscribers, posting mainly in Russian — the middle half sit between 5.84% and 23.6%, with a median of 12.1%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
25 of 25 published in the window (25 exact, 0 rounded by Telegram)
Views totalled
311
Mature posts only
0.117% over 18 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_low, last confirmed 5 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
62 measurements spanning 97 days, net -1,542. 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 12,054–14,058 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
11 Nov 2026, 22:15
12,285
-24
9 Nov 2026, 21:51
12,309
-30
8 Nov 2026, 14:09
12,339
-39
7 Nov 2026, 05:36
12,378
-22
6 Nov 2026, 02:09
12,400
-33
5 Nov 2026, 02:07
12,433
-47
4 Nov 2026, 04:56
12,480
-8
3 Nov 2026, 04:58
12,488
-32
2 Nov 2026, 05:28
12,520
-19
1 Nov 2026, 03:50
12,539
-101
31 Oct 2026, 02:54
12,640
-59
30 Oct 2026, 04:37
12,699
-39
29 Oct 2026, 04:27
12,738
-83
27 Oct 2026, 23:59
12,821
-64
26 Oct 2026, 22:36
12,885
-19
25 Oct 2026, 23:44
12,904
-39
24 Oct 2026, 22:06
12,943
-32
23 Oct 2026, 23:34
12,975
-18
22 Oct 2026, 21:01
12,993
-15
21 Oct 2026, 14:18
13,008
first reading
Engagement
191 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 68 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.101%
avg views ÷ 12,285 subscribers
Avg views / post
12.4
56 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
56
of 191 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 11 November 2026
Posts held
191 (31 July 2026 – 11 November 2026)
Views total
692
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 20:48 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
2h 24m
Average length
3m 04s
Measured directly from 47 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
9 reactions across 9 posts, in 6 distinct kinds. The most used accounts for 44.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
4
44.4%
❤
1
11.1%
👏
1
11.1%
🔥
1
11.1%
😢
1
11.1%
🤡
1
11.1%
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 9 of the 191 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 191 most recent posts we hold, published 31 July 2026 to 11 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: 4 of 56 posts held from the last 30 days (7.14%) 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).
На святое замахнулись!
Телеканал ТНТ и Кинокомпания братьев Андреасян объявили о начале съемок фильма «Вовка в Тридевятом царстве».
Ох, что будет, что будет...
Мировая премьера двухактного балета «Странная история доктора Джекила и мистера Хайда» состоится 15 и 16 февраля 2027 года.
Главные роли исполнят танцовщики двух ведущих театров России: Владислав Лантратов из Большого сыграет доктора Джекила, а Кимин Ким из Мариинского театра - мистера Хайда. Спектакль создан специально для этих артистов.
Музыку для постановки написал композитор и пианист Глеб Андрианов. Хореографо…
"Всякий раз, когда Россия проявляла твёрдость и уверенность в своих силах, трудности удавалось преодолеть, и наступал долгий период мира, покоя и развития — и у нас, и у наших соседей. Поэтому там, где поднят русский флаг, он спускаться не должен".
Владимир Мединский
#мнение
⚡️Представители стран Европы подключатся к консультациям в Абу-Даби, чтобы помешать переговорам
и противодействовать российским инициативам в области безопасности. В закрытых сессиях планируют участвовать советники по национальной безопасности из Франции, Германии и Великобритании, а также руководители аппаратов руководства Еврокомиссии и НАТО
(с) The Financial Times.
Вот и ещё один ответ на заданный намедни нам …
Украина тем временем решила обзавестись Космическими силами
Верховная Рада приняла закон о создании Космических сил, которые собираются поставить в один ряд с Сухопутными войсками, авиацией и ВМС.
Среди задач нового подразделения — создание спутниковой группировки, разведка из космоса, отслеживание передвижения войск и даже противодействие российским ракетам вроде «Орешника».
Звучит почти фантастически, особенно е…
Мининдел РФ Лавров: Просто закончить на Украине - мало.
"То, что нынешние переговорщики по поручению президента Трампа предложили вынести на первый план повестки дня переговоров по украинскому урегулированию именно вопросы коллективной безопасности, конечно, это можно только приветствовать.
При этом понимание, которое все разделяют, заключается в том, что переговоры посвящены согласованию тех принципов, которые буд…
Ровно по тому же сценарию на Украине сейчас воспитывают юных граждан. Мы, русские (не обязательно россияне - граждане России, достаточно просто говорить по-русски) — поголовно враги, захватчики, агрессоры, оккупанты.
Логично отсюда следует вопрос: ну, вот вы незалэжни, русский язык и вообще русских - запретили, выдавили, убили. Официально вы избавились от советского наследия в 1991 году, 35 лет назад. Получили в со…
Когда русских в новых этнических республиках не стало, внезапно выяснилось, что пропали и деньги, и работа, и благополучие, и уверенность в завтрашнем дне.
Как теперь обеспечить семью условному среднеазиату? Конечно же, ехать на заработки в ненавистную* Россию к "муртадам-колонизаторам*". И тащить с собой своих отпрысков, с детства воспитываемых в ненависти к русским. Почитайте, что в их школьных учебниках по истори…
Александр Коц: Семи мигрантам-русофобам дали пинка из России
ФСБ показательно отобрала у семи мигрантов российские паспорта и выдворила их на малую родину. Изгоям вменяют разжигание ненависти к русским, призывы к противостоянию с правоохранителями, распространение идей этнического превосходства, провоцирование межнациональных конфликтов и экономические преступления.
Что под этим подразумевается? Публичные намазы в …
Хозяин Москвы на выгуле.
Интересно, какие дальнейшие планы у танцора? Что после Москвы-Сити: входная группа Госдумы? Совфед? Белый Дом? Или сразу Кремль?
Страшно даже представить, если бы на месте этого джигита был ваххабит (с характерными внешними признаками) на шахид-мобиле, груженый взрывчаткой... Если такой въедет в густонаселённое здание и взорвётся? Сколько могло быть жертв... Аллах, безусловно, акбар — но!
…
Showing the 12 most recent of 191 posts we hold for @svoem. 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
@svoem 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 November 2026
Most recent edit
8 November 2026
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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
Names
Channels on the register whose handles appear in this channel's posts.
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
@svoem 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.
@mnogonazi named in 16 posts, 8 August 2026 – 5 November 2026 · confirmed gone 18 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Свое мнение” (@svoem), 12,285 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/svoem.
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.
