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 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 why it has no browse page of its own yet.
Growth
35 measurements spanning 43 days, net +993. 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 41,204–42,495 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
18 Sept 2026, 03:15
42,346
+19
15 Sept 2026, 19:55
42,327
+64
14 Sept 2026, 00:18
42,263
+41
12 Sept 2026, 07:57
42,222
-13
10 Sept 2026, 02:18
42,235
+26
6 Sept 2026, 17:58
42,209
+25
4 Sept 2026, 08:42
42,184
+7
2 Sept 2026, 23:26
42,177
+73
1 Sept 2026, 18:05
42,104
+44
31 Aug 2026, 16:44
42,060
+188
30 Aug 2026, 18:37
41,872
+216
29 Aug 2026, 21:44
41,656
+6
28 Aug 2026, 23:56
41,650
+18
27 Aug 2026, 23:58
41,632
+9
27 Aug 2026, 02:45
41,623
+26
26 Aug 2026, 03:59
41,597
+7
25 Aug 2026, 01:58
41,590
+18
23 Aug 2026, 13:23
41,572
+20
22 Aug 2026, 02:15
41,552
+25
20 Aug 2026, 20:34
41,527
first reading
Engagement
463 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 103 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.09%
avg views ÷ 42,346 subscribers
Avg views / post
3,430
245 posts measured
Reaction rate
11.7%
reactions ÷ views · ER floor
Posts in window
245
of 463 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 26 September 2026
Posts held
463 (5 August 2026 – 26 September 2026)
Views total
839,544
Reactions total
98,132
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Sept 2026, 16:29 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
≈12,200
Videos
≈6,180
Links
≈8,140
Lifetime counters from Telegram’s own channel header, read 26 September 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
5h 36m
Average length
1m 09s
Measured directly from 292 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
170,489 reactions across 453 posts, in 28 distinct kinds. The most used accounts for 41.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤬
70,424
41.3%
👍
26,575
15.6%
custom 5300865825182355331
22,970
13.5%
💯
14,977
8.78%
🤮
10,507
6.16%
❤
8,342
4.89%
🙏
3,357
1.97%
🔥
3,115
1.83%
😁
2,517
1.48%
🙈
1,504
0.882%
😱
1,269
0.744%
👏
1,184
0.694%
🎉
805
0.472%
🤡
796
0.467%
🤯
768
0.45%
⚡
398
0.233%
😢
316
0.185%
🤔
308
0.181%
👎
94
0.055%
🖕
70
0.041%
8 further kinds
193
0.113%
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 is Telegram’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 463 of the 463 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 173,208 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 463 most recent posts we hold, published 5 August 2026 to 26 September 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.
Telegram Stars
Stars received
27
across the posts below
Posts paid on
18
of 463 we hold a reading for · 4%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @obshinanews. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 463 most recent posts we hold for this entry, published 5 August 2026 to 26 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Этнические предприниматели уничтожают природные ресурсы России!
В Свердловской области жители посёлка Крылатовский ведут борьбу за пруд, который вырыли ещё их предки! Его строили сами жители и шахтёры — на свои деньги и своими руками. Пруд был местом отдыха и рыбалки для всего посёлка. Но местная администрация решила подзаработать и каким-то образом продала в частные руки водоём. Теперь им единолично распоряжается к…
В Нягани суд приговорил мигранта за насилие над ребёнком!
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В итоге старый педофил из Средней Азии получил 18 лет строгог…
Новое поступление ножей!
Изделия созданы специально для Русской Общины мастерами «Товарищества производства стальных изделий им. Завьялова». Это клинки, которые передаются по наследству.
Характеристики:
• Стали: 95Х18, Х12МФ, 9ХС, У7, У8, дамаск, булат
• Рукояти: натуральное дерево
• Ножны: натуральная кожа
Приобрести можно:
• В интернет-магазине:
https://ruslavka.ru/product-category/3-suveniry/suveniry-raznye/?pr…
Семейство уроженцев Таджикистана терроризирует мать с грудным ребёнком!
В Петрограде от чудесного культурного обмена Ольга и её десятимесячный ребёнок не могут спать и спокойно жить уже полгода. В квартиру над ними заехали приезжие, которые не могут жить по-человечески: по потолку и стенам — демонстративный топот, работает перфоратор в часы тишины и детского сна.
Все попытки поговорить обрываются фразой «мы купили …
В России опасно брать машины из Киргизии.
Купленные там авто часто оформляют на местных жителей, чтобы потом продать гражданам России и тем самым обойти санкции. Но вот только можно столкнуться с тем, что прежний «владелец» затем заявляет об угоне, и машину изымают у добросовестного покупателя.
По данным СМИ, известны как минимум два случая: Lexus GX 460 и BMW X6. И если X6 удалось отстоять в суде, то Lexus уехал о…
Исламизация детей в Новом Уренгое!
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Общины Подмосковья объединились для помощи русской многодетной семье переселенцев.
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Но, к сожалению, даже такая незначительная просрочка автоматически …
В Краснодаре ФСБ задержала банду из грозных бородачей!
Пятеро преступников во главе с 63-летним местным жителем решили запугать одного знакомого предпринимателя.
Главарь делал вид, что помогает другу, а сам передавал подельникам данные о его семье, имуществе, болезнях и маршрутах. С жертвы требовали 52 миллиона рублей, запугивали и следили.
Состав банды оказался исключительно «законопослушным»: двое находились в ф…
Полиция задержала бородатых наркосбытчиков!
В Дагестане у железнодорожного переезда на трассе «Кавказ» полиция остановила BYD с тремя местными жителями. В машине у горцев нашли и изъяли 2 кг мефедрона, а у них дома — готовые к закладке свёртки общим весом ещё 111 грамм. Возбуждено уголовное дело, им грозят большие сроки вплоть до пожизненного.
👍 Подпишись, чтобы знать первым!
В Тюмени убийца трёх человек получил гуманный приговор!
Тюменский районный суд приговорил Вусала Бабаева к 5 годам колонии-поселения и 2 годам 10 месяцам лишения права управлять автомобилем.
В мае 2026 года на трассе Р402 он на Toyota Camry с непристёгнутыми пассажирами пошёл на обгон в зоне запрета. Выехал на встречку и лоб в лоб столкнулся с Mitsubishi. Водитель и два пассажира встречной машины погибли, а трое па…
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👍 Подпишись, чтобы знать первым!
Защитили инвалида, которого с работы выживал «ценный специалист»!
На юго-востоке Москвы курьер-мигрант систематически запугивал и оскорблял работника магазина с нарушением слуха, пытаясь вытеснить его с места и устроить туда своих земляков. Тогда мужчина обратился в Русскую Общину. Наши дружинники провели беседу с мигрантом, после чего он извинился, а также помогли пострадавшему написать заявление в полицию. Теперь …
👏233custom 530086582518235533194👍15❤7🎉2🖕2🤡2
Showing the 12 most recent of 463 posts we hold for @obshinanews. 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
@obshinanews edited 5 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
30 August 2026
Most recent edit
23 September 2026
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Считаете ли вы наказание за организацию незаконной миграции справедливым?
Да18%
Нет, нужно ещё строже!80%
Нет, нужно декриминализировать статью.1%
Считаю, что организаторам нужно давать медаль (я мигрант).0%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 463 most recent posts we hold, published 5 August 2026 to 26 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 169 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 24 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
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@obshinanews 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@nesvyatoi_otets named in 2 posts, 22 September 2026 – 23 September 2026
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 29 August 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.
Русская ОБЩИНА (Москва) @Moskva_RO · 43,643 Telegram ranks this channel #5 of 83 here — alongside 82 others — read 28 August 2026
Русская Община ZOV @obshina_ru · 593,956 Telegram ranks this channel #17 of 83 here — alongside 82 others — read 8 August 2026
Александр Бастрыкин @bastrykin · 34,718 Telegram ranks this channel #27 of 79 here — alongside 78 others — read 3 September 2026
РУССКАЯ ОБЩИНА ПЕТРОГРАДА @obshina_spb · 29,505 Telegram ranks this channel #49 of 80 here — alongside 79 others — read 8 September 2026
СВОЯ КУЛЬТУРА @svoya_kultura · 25,074 Telegram ranks this channel #54 of 55 here — alongside 54 others — read 25 September 2026
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Русская Община НОВОСТИ” (@obshinanews), 42,346 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/obshinanews.
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.
