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 98% 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
31 measurements spanning 39 days, net -374. 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 34,875–35,361 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
15 Sept 2026, 11:57
34,931
-8
13 Sept 2026, 23:01
34,939
-13
12 Sept 2026, 05:41
34,952
+10
9 Sept 2026, 20:16
34,942
-26
6 Sept 2026, 11:39
34,968
-25
4 Sept 2026, 04:16
34,993
-11
2 Sept 2026, 18:34
35,004
-11
1 Sept 2026, 18:44
35,015
-15
31 Aug 2026, 21:18
35,030
-16
30 Aug 2026, 20:23
35,046
-13
29 Aug 2026, 18:38
35,059
-5
28 Aug 2026, 16:24
35,064
-8
27 Aug 2026, 19:26
35,072
-14
26 Aug 2026, 19:55
35,086
-11
25 Aug 2026, 22:57
35,097
-5
24 Aug 2026, 23:38
35,102
-35
23 Aug 2026, 08:36
35,137
-39
21 Aug 2026, 21:17
35,176
+16
20 Aug 2026, 19:52
35,160
-14
19 Aug 2026, 20:47
35,174
first reading
Engagement
335 posts held, back to 6 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 76 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.81%
avg views ÷ 34,931 subscribers
Avg views / post
3,080
226 posts measured
Reaction rate
0.423%
reactions ÷ views · ER floor
Posts in window
226
of 335 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. It is computed over the 207 of 226 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 9 September 2026
Posts held
335 (6 August 2026 – 9 September 2026)
Views total
695,870
Reactions total
2,702
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Sept 2026, 01:48 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
2m 02s
Average length
41s
Measured directly from 3 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
3,877 reactions across 306 posts, in 16 distinct kinds. The most used accounts for 29.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,124
29.0%
❤
1,010
26.1%
🔥
699
18.0%
🫡
391
10.1%
👎
350
9.03%
😁
178
4.59%
🤨
65
1.68%
💯
17
0.438%
🤝
15
0.387%
👏
7
0.181%
custom 5449408995691341691
6
0.155%
🙏
6
0.155%
👌
5
0.129%
✍
2
0.052%
🎉
1
0.026%
😎
1
0.026%
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 309 of the 335 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 3,877 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 335 most recent posts we hold, published 6 August 2026 to 9 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
4
across the posts below
Posts paid on
4
of 335 we hold a reading for · 1%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ddrf_off. 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 335 most recent posts we hold for this entry, published 6 August 2026 to 9 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.
✅ На Кубани создадут крупные жилые массивы с дорогами, сетями и школами для участников СВО
🔘 Губернатор Вениамин Кондратьев поручил выделять массивы в десятки гектаров во всех районах края.
✅ Главное:
➡️ Как строят: Участки будут выдавать в крупных массивах, сразу обеспеченных дорогами, газом, водой, школами и детсадами.
➡️ Выбор: Ветераны смогут сами выбирать город или район края для жизни.
➡️ Кому положено: Ге…
✅ Бизнесу дадут статус соцпредприятия и налоговые льготы за наем ветеранов СВО
🔘 Инициативу презентовали в Коми совместно с руководством РСПП.
✅Главное:
➡️ Условие: Не менее 10% сотрудников в штате компании - ветераны СВО.
➡️ Что получит бизнес: Статус соцпредприятия (гранты, льготные кредиты, снижение налогов).
➡️ Налоги: Предложено освободить компании от уплаты страховых взносов с зарплат участников и инвалид…
✅ Как изменятся размеры окладов по воинским званиям с 1 октября 2026 года
🔘 С 1 октября 2026 года планируется индексация окладов по воинским званиям. Согласно проекту Постановления Правительства РФ индексация в размере 4,0%.
⚠️ Расходы на повышение уже предусмотрены федеральным бюджетом на 2026-2028 годы.
Подписывайтесь на нас:
📲 MAX 📱 ВК 📲ЧАТ В МАХ
✅ Омбудсмен Яна Лантратова выступила против создания открытой базы пропавших бойцов СВО
🔘 Открытые списки - прямой инструмент для мошенников и шантажистов.
✅Главное:
➡️ Опасность: Мошенники выманивают у семей деньги, обещая «найти человека» или «внести в списки обмена», используя открытые данные.
➡️ Решение: Создать ЗАКРЫТЫЙ государственный сервис с доступом ТОЛЬКО для родственников после проверки документов о ро…
✅ Королев доложил Путину о росте поддержки участников СВО в Тверской области
🔘 Врио губернатора Тверской области Виталий Королев на рабочей встрече в Кремле доложил Президенту России Владимиру Путину о работе региона по социальной и финансовой защите участников СВО и их семей.
✅ Главное из доклада главе государства:
➡️ Рекордный бюджетный рывок: Всего за девять месяцев 2026 года объем бюджетных расходов области на…
✅ В КЧР бойцы СВО и члены их семей получат землю после исков прокуратуры
🔘 Суд в Карачаево-Черкесской Республике (КЧР) удовлетворил 11 исковых заявлений прокуроров, поданных в защиту прав участников специальной военной операции и членов их семей.
✅Местные администрации обяжут выделить положенные по закону бесплатные земельные участки.
✅ Как прокуратура помогла восстановить справедливость:
➡️ Выявление нарушений: …
✅ Владимир Путин поручил улучшить систему поддержки участников СВО и их семей в Дагестане
🔘 Президент России Владимир Путин провел рабочую встречу с врио главы Республики Дагестан Федором Щукиным.
✅ Главное из поручений Президента:
➡️ Развитие системы помощи: Глава государства подчеркнул, что текущий уровень поддержки — это лишь база, которую необходимо постоянно улучшать.
«Система поддержки, она должна не просто…
✅ СТРАХОВАЯ ВЫПЛАТА В СОГАЗ: КАК ОФОРМИТЬ
🔘 Для получения страховой выплаты контрактнику или его семье необходимо подготовить и подать следующий пакет документов:
🔢 Заявление о выплате страховой суммы
➡️ Бланк можно получить в воинской части, военкомате или скачать на сайте СОГАЗ.
🔢 Копии документов личности:
➡️ Паспорт, удостоверение личности, военный билет.
🔢 Справка об обстоятельствах страхового случая:
➡️ Офо…
❤5👍3🔥3
Showing the 12 most recent of 335 posts we hold for @ddrf_off. 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.
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 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.
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Денежное довольствие” (@ddrf_off), 34,931 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/ddrf_off.
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.