Local community — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 61% 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
28 measurements spanning 98 days, net -408. 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 8,382–8,912 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
12 Nov 2026, 02:19
8,443
-29
7 Nov 2026, 23:16
8,472
-21
5 Nov 2026, 04:38
8,493
-9
2 Nov 2026, 00:45
8,502
-11
30 Oct 2026, 10:48
8,513
-21
27 Oct 2026, 00:49
8,534
-16
24 Oct 2026, 08:30
8,550
-17
21 Oct 2026, 10:16
8,567
-4
18 Oct 2026, 05:07
8,571
-18
15 Oct 2026, 05:18
8,589
-5
12 Oct 2026, 11:44
8,594
-31
5 Oct 2026, 13:21
8,625
-31
27 Sept 2026, 06:56
8,656
-39
17 Sept 2026, 16:56
8,695
-10
14 Sept 2026, 00:40
8,705
-15
9 Sept 2026, 21:19
8,720
-40
4 Sept 2026, 20:36
8,760
-8
1 Sept 2026, 15:25
8,768
-24
29 Aug 2026, 19:54
8,792
+32
26 Aug 2026, 13:23
8,760
first reading
Engagement
21 posts held, back to 29 June 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 50 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.61%
avg views ÷ 8,443 subscribers
Avg views / post
811
9 posts measured
Reaction rate
2.29%
reactions ÷ views · ER floor
Posts in window
10
of 21 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 13 November 2026
Posts held
21 (29 June 2026 – 13 November 2026)
Views total
7,303
Reactions total
167
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 13:44 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
≈1,730
Videos
≈1,600
Links
≈2,250
Lifetime counters from Telegram’s own channel header, read 13 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
6m 56s
Average length
1m 09s
Measured directly from 6 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
438 reactions across 19 posts, in 10 distinct kinds. The most used accounts for 49.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
217
49.5%
❤
81
18.5%
🔥
61
13.9%
👏
35
7.99%
❤🔥
18
4.11%
🙏
17
3.88%
⚡
3
0.685%
🤣
3
0.685%
🥱
2
0.457%
🤔
1
0.228%
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 19 of the 21 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 438 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 29 June 2026 to 13 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 19 we hold a reading for · 5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @RabotaetProfi. 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 21 most recent posts we hold for this entry, published 29 June 2026 to 13 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 10 posts held from the last 30 days (10.0%) 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).
🎬 Когда кино становится разговором по душам.
Благотворительный фонд «Сиверский» продолжает серию патриотических и просветительских мероприятий для молодёжи и делает через живой диалог.
Недавно для студентов СПб Технического колледжа управления и коммерции прошёл показ документального фильма «Встреча героев СВО». После просмотра обсуждение и встреча с режиссёром Ольгой Калединой, представителем фонда. Ольга рассказала…
В ПЕТРОПАВЛОВСКОЙ КРЕПОСТИ СОСТОЯЛАСЬ ТОРЖЕСТВЕННАЯ ВСТРЕЧА В ЧЕСТЬ 70-ЛЕТИЯ АЛЕКСАНДРА СНЕТКОВА
5 ноября в стенах исторической Петропавловской крепости состоялась торжественная встреча, посвящённая 70-летнему юбилею Александра Владимировича Снеткова — легендарного спецназовца.
Мероприятие объединило людей, для которых важны боевое братство, верность товарищам, уважение к заслугам и сохранение памяти.
Особым момен…
г. Отрадное
Второго ноября 2026 года в спортивном зале ФОКа прошла передача спортивного питания.
Благотворительный фонд «Сиверский» передал БАДы спортсменам кировской сборной команды пауэрлифтинга, необходимые молодым спортсменам для укрепления суставно – связочного аппарата в период тренировок и соревнований.
В настоящий момент команда готовится выступить в чемпионате северо – западного федерального округа по пауэ…
В Петербурге Президенту ОПФ «БЛАГОТВОРЕНИЕ»Благотворительный фонд «СИВЕРСКИЙ» передал тираж книги Василия Стати о Стефане Великом !
Торжественная передача книги прошла в офисе Литературного объединения ветеранов боевых действий, Санкт-Петербург, 17 октября 2026 года
17 октября 2026 года в Санкт-Петербурге Президент Благотворительного фонда «Сиверский», участник СВО Александр Александрович Ломов и писатель, участник …
Сотрудничество в интересах военно-патриотического воспитания молодёжи
В рамках встречи с участником СВО Олегом Булычевым — военным лётчиком, ветераном боевых действий, писателем и членом Союза писателей Санкт-Петербурга — состоялось обсуждение перспектив сотрудничества в сфере военно-патриотического воспитания подрастающего поколения.
Президент фонда «Сиверский» Александр Ломов и директор ГБОУ СОШ № 422 Кронштадтск…
20 октября 2026 года исполнилось 100 лет старейшему петербургскому писателю, ветерану Великой Отечественной Войны, Анатолию Ивановичу Белинскому — прозаику, литературоведу, редактору, члену Союза писателей России (Санкт-Петербургское отделение!
Благотворительный фонд «Сиверский» и Литературное объединение ветеранов боевых действий Санкт – Петербургского отделения Союза писателей России души поздравляет юбиляра! Жела…
Вчера, 22 октября , в Санкт- Петербурге прошла акция памяти «Дни белых журавлей» , где принял участие ветеран СВО, президент благотворительного фонда «Сиверский» - Александр Ломов.
Вот уже шестнадцатый год подряд Всероссийская акция памяти павших воинов России «Дни белых журавлей» объединяет людей разных поколений, возрастов и профессий в едином порыве — почтить память тех, кто отдал свою жизнь за свободу и независи…
14 октября в 422 школе прошла встреча, которая запомнится надолго.
Нашими гостями стали Олег Булычев — военный летчик, ветеран боевых действий, писатель и член Союза писателей Санкт-Петербурга, а также представители благотворительного фонда «Сиверский».
Олег Анатольевич — человек уникальный. За его плечами служба в ВС СССР и РФ, участие в боевых действиях в Таджикистане, Косово, Сирии, работа в Африке в составе ЧВК…
Фонд «Сиверский» продолжает поддерживать бойцов!
Фонд «Сиверский» обеспечивает каждого бойца анализатором дронов — современной техникой, которая стала незаменимым помощником в зоне СВО.
В современных условиях своевременное обнаружение беспилотников имеет большое значение. Такое оборудование помогает бойцам получать важную информацию об окружающей обстановке и повышать уровень безопасности при выполнении поставленны…
В мае на легендарном стадионе «Петровский» вновь было по-настоящему жарко: здесь прошел 12-й ежегодный футбольный турнир «Юный Зенитовец». ‼️
Это событие уже давно стало доброй традицией для ребят из северо-западного региона.
На поле встретились команды из центров содействия семейному воспитанию, школ-интернатов, приходских школ и проектов по социальной адаптации. Для многих участников этот турнир — не просто игра, …
👍33❤4
Showing the 12 most recent of 21 posts we hold for @RabotaetProfi. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 6 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.
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.
КАСПЕР 🇧🇾 @kasper_mus · 69,696 Telegram ranks this channel #6 of 70 here — alongside 69 others — read 28 August 2026
Объявления о работе в Африке @bold_advertising_agency · 42,922 Telegram ranks this channel #7 of 68 here — alongside 67 others — read 28 August 2026
Оркестр Вагнера @orchestra_w1 · 25,217 Telegram ranks this channel #8 of 49 here — alongside 48 others — read 29 September 2026
Белые дяди в Африке🌴 @wagner_group2022 · 124,212 Telegram ranks this channel #36 of 67 here — alongside 66 others — read 14 August 2026
kgv5mg @KGV5mg · 185 Telegram ranks this channel #43 of 67 here — alongside 66 others — read 2 September 2026
Папирус 🇷🇺 @filimonovRus · 85,640 Telegram ranks this channel #66 of 68 here — alongside 67 others — read 28 August 2026
This channel appears in 6 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“СИВЕРСКИЙ” (@RabotaetProfi), 8,443 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/RabotaetProfi.
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.