Channel
@sborvoinam
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
22subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002052872124 |
|---|---|
| Type | Channel |
| Username | @sborvoinam |
| Created | Between 1 November 2023 and 4 March 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 30 August 2026 |
| On Telegram | t.me/sborvoinam |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Aug 2026, 17:17 | 22 | +1 |
| 11 Aug 2026, 14:01 | 21 | no change |
| 7 Aug 2026, 12:23 | 21 | first reading |
12 posts held, back to 4 March 2024 — 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 pageof 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 12 posts for this entry, the most recent from 24 August 2024. An engagement rate over an empty window would be a number about nothing.
Measured directly from 4 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.
18 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 55.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 10 | 55.6% | |
| 👍 | 3 | 16.7% | |
| 🔥 | 3 | 16.7% | |
| 🙏 | 2 | 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 7 of the 12 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 18reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 4 March 2024 to 24 August 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Кроме помощи мирным жителям, дополнительно передали 15 «народных аптечек» для наших военных, которые отражают атаки врага в Курской области! Аптечки были переданы лично Сергею - советнику губернатора Курской области, ветерану чеченской войны и участнику СВО, который занимается эвакуацией раненых солдат и вывез очень много мирных жителей в момент начала вторжения. На его бронированном автомобиле можно увидеть характе…
❤4🙏1
Выкладываю видеоотчет о поездке в Курск! Дорога была дальней и долгой, сутки за рулем. На месте нас ждали волонтеры из «Общество. Будущее», которые на тот момент уже неделю работали на месте. На собранные деньги мы закупили много комплектов постельного и нижнего белья, носок, средств гигиены, мыльно-рыльное и так далее. Кроме того, множество людей откликнулось на призыв и лично привезли баулы с вещами для беженцев …
❤2🙏1
СБОР ЗАКРЫТ! Кто хочет помочь вещами, можно завести по адресу: г. Санкт-Петербург, ул. Разъезжая д 5, офис 103, видеостудия. Прежде всего требуются: 1. Детские подгузники и пеленки 2. Постельное и нижнее белье 3. Одежда 4. Лекарства В пятницу стартуем в Курск.
Здравия желаю! С пятницы на субботу я выезжаю в Курскую область везти гуманитарный груз для местных жителей. Десятки тысяч беженцев бежали из населенных пунктов, где сейчас идут боевые действия, побросав свои дома. Что необходимо в первую очередь: ◦ Постельное белье ◦ Медицина ◦ Памперсы и детские пеленки ◦ Средства санитарии и гигиены (дезодоранты, шампуни, туалетная бумага, бритвенные станки, влажные салфетк…
Посылка доставлена ✔️ В первые сутки моего приезда увольнительная брата сорвалась из-за прорыва дрг хохлов на границе. Но в итоге встретиться удалось, мы не виделись много лет! Все, что закупили, было передано для защиты границ нашей Родины! Благодарю всех кто принял участие в сборе! 🙏 Особая благодарность за содействие Савве Федосееву, Мирославе Регинской, Владиславу Угольному и их подписчикам! ✊ Слава России!🇷
🔥2
СБОР ЗАКРЫТ! Спасибо всех кто откликнулся и принял участие, особая благодарность Савве Федосееву! 💪 12 марта выдвигаюсь на местность вручать посылку от Вас для брата 😊
❤4
+ 20.000 🔥 Тепловизоры готовы к отправке, военный бинокль сегодня пришел. В пути дальномеры и заказываю бинокль-ночник. Собрано 56.000 из 106.800. Осталось добить всего 50.800 рублей!
👍2🔥1
Передал Сармату два тепловизора для 9-го полка ВС РФ «Шторм» 1. Hikmicro owl-series oh25 Прибрел за 20.000. Спасибо, чат БТР! 2. LYNX Pro LH25. Приобрёл за 40.000 Спасибо большое Мирослава Регинская, Мария Тиллерт и все жертвователи. От них же бойцы скоро получат 30 аптечек и медицинский рюкзак. Скоро отчёт непосредственно от бойцов.
👍1
Channel photo updated
Channel name was changed to «Сборы от Сармата🇷🇺»
Channel name was changed to «Сборы от Сармата✊🇷🇺»
Channel name was changed to «СБОРЫ ОТ САРМАТА✊🇷🇺»
Showing the 12 most recent of 12 posts we hold for @sborvoinam. 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.
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.
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.
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 23 August 2026 — this entry's latest reading, not the date you are reading this.
“Сборы от Сармата🇷🇺” (@sborvoinam), 22 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/sborvoinam.
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.