Channel
@SVO_Oren
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
385subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002141675029 |
|---|---|
| Type | Channel |
| Username | @SVO_Oren |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/SVO_Oren |
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 22 September 2026 and assigned it the closest of 31 fixed categories, at 40% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 01:42 | 385 | +2 |
| 9 Sept 2026, 02:58 | 383 | -3 |
| 23 Aug 2026, 15:06 | 386 | +1 |
| 6 Aug 2026, 23:43 | 385 | +1 |
| 6 Aug 2026, 20:17 | 384 | no change |
| 6 Aug 2026, 09:06 | 384 | first reading |
8 posts held, back to 4 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
36 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 41.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 15 | 41.7% | |
| 👍 | 13 | 36.1% | |
| 🫡 | 4 | 11.1% | |
| 🤝 | 2 | 5.56% | |
| 💯 | 1 | 2.78% | |
| 🔥 | 1 | 2.78% |
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 8 of the 8 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 36 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 4 August 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 день 175-летия железнодорожных войск минобороны России поделились кадрами работы военнослужащих. На фронтах СВО они надёжно обеспечивают логистику и снабжение нашей армии, разминируют километры путей и подвозят всё необходимое на самые сложные направления. С праздником, воины-железнодорожники! Подписывайся на нас в МАХ
❤1👍1🫡1
Ветеран СВО рассказал об участии в программе «Герои Оренбуржья» ⭐️ Финалист региональной кадровой программы «Герои Оренбуржья» Дмитрий Юртаев ушёл на фронт в самом начале спецоперации. Он служил в составе мотострелковой бригады, воевал на сложнейших рубежах, награждён медалью «За отвагу». После тяжёлого ранения, долгого лечения и сложных операций оренбуржец вернулся к мирной жизни. Оказавшись дома, Дмитрий не смог …
❤1👍1🔥1
🙂 Инструкция: как ветерану СВО получить доплату на покупку технического средства реабилитации при поддержке фонда «Защитники Отечества» Государственный фонд «Защитники Отечества» осуществляет доплату к сертификатам Социального фонда России на приобретение ветеранами СВО технических средств реабилитации. Это делается для того, чтобы человек смог приобрести именно то техническое средство реабилитации, которое соответс…
❤1👍1🫡1
⚡️Назначен единый руководитель служб тыла армии России Президент России Владимир Путин объявил о решении объединить все службы тыла минобороны под единым руководством. Главой новой структуры назначен командующий войсками ЦВО и группировкой войск «Центр» генерал-полковник Валерий Солодчук. С инициативой об объединении служб тыла в единой структуре к президенту обратился министр обороны Андрей Белоусов. Подписывайся…
❤1👍1🫡1
Бойцы СВО благодарят оренбуржцев за поддержку 📹 Военнослужащий записал видеообращение с благодарностью к оренбуржцам за помощь, которую они оказывают подразделениям – участникам спецоперации. - Ещё раз вам огромное спасибо. Враг будет разбит. Победа будет за нами, - обращается к нам воин на видео. Жители городов и малых сёл, домохозяйки и предприниматели, дети и пенсионеры Оренбуржья с начала СВО объединились для …
❤3👍1🫡1
⚡️Снайперская пара из Тоцкого гарнизона уничтожила более 150 украинских БПЛА Бойцы 1435-го мотострелкового полка 27-й гвардейской дивизии (Тоцкий гарнизон), действуя снайперской парой, выполняют боевые задачи по поддержке штурмовых подразделений на Днепропетровском направлении. В их задачи входит в том числе воздушное наблюдение и уничтожение обнаруженных беспилотников противника. Огнём из российских снайперских ви…
❤4👍2💯1
Участника СВО с большой радостью встретили в родном вузе 🎓 Ветеран СВО Тамирлан Бижанов, который восстановился в учебном заведении при поддержке губернатора Оренбуржья Евгения Солнцева, официально стал студентом медицинского колледжа Оренбургского института путей сообщения филиала ПРИВГУПС – ему вручили зачётную книжку и студенческий билет. - Сегодня замечательный день - мне выпала честь вручить зачётную книжку и с…
👍3❤2🤝1
Финалисты программы «Герои Оренбуржья» встретились с юными патриотами ⭐️ Финалисты региональной кадровой программы «Герои Оренбуржья» Александр Виселков и Вадим Каюпов вместе с другими ветеранами военной службы и боевых действий побывали в гостях у участников военно-исторического лагеря «Страна Героев». Встречи прошли на разных площадках, но каждая началась со знакомства: герои рассказали о себе, своём пути и достиж…
👍3❤2🤝1
Showing the 8 most recent of 8 posts we hold for @SVO_Oren. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“Герои Оренбуржья” (@SVO_Oren), 385 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/SVO_Oren.
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.