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 10 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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
58 measurements spanning 92 days, net -9. 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 17,066–17,223 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
6 Nov 2026, 10:54
17,196
+11
4 Nov 2026, 11:27
17,185
-7
3 Nov 2026, 10:35
17,192
-3
2 Nov 2026, 13:15
17,195
-3
1 Nov 2026, 11:00
17,198
-3
30 Oct 2026, 14:45
17,201
-1
29 Oct 2026, 15:28
17,202
+1
28 Oct 2026, 17:40
17,201
+1
26 Oct 2026, 16:19
17,200
+3
25 Oct 2026, 14:06
17,197
+15
24 Oct 2026, 14:58
17,182
+16
23 Oct 2026, 17:56
17,166
-2
22 Oct 2026, 20:08
17,168
-3
21 Oct 2026, 17:35
17,171
-7
20 Oct 2026, 13:28
17,178
-1
19 Oct 2026, 13:39
17,179
+6
18 Oct 2026, 15:58
17,173
+5
17 Oct 2026, 12:36
17,168
+1
16 Oct 2026, 13:28
17,167
-7
15 Oct 2026, 14:39
17,174
first reading
Engagement
88 posts held, back to 23 July 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 62 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.9%
avg views ÷ 17,196 subscribers
Avg views / post
2,900
22 posts measured
Reaction rate
3.69%
reactions ÷ views · ER floor
Posts in window
22
of 88 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 5 November 2026
Posts held
88 (23 July 2026 – 5 November 2026)
Views total
63,750
Reactions total
2,353
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 16:14 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
≈8,020
Videos
≈1,820
Links
≈9,630
Lifetime counters from Telegram’s own channel header, read 6 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
3m 18s
Average length
40s
Measured directly from 5 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
11,206 reactions across 86 posts, in 47 distinct kinds. The most used accounts for 23.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,666
23.8%
🔥
1,735
15.5%
👍
1,166
10.4%
❤🔥
910
8.12%
😁
851
7.59%
🤬
635
5.67%
🕊
505
4.51%
😢
416
3.71%
💯
371
3.31%
🤣
331
2.95%
💔
290
2.59%
👏
239
2.13%
🙏
162
1.45%
🫡
138
1.23%
🤔
125
1.12%
😱
113
1.01%
😭
98
0.875%
🎉
55
0.491%
🥱
54
0.482%
🌭
46
0.41%
27 further kinds
300
2.68%
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 88 of the 88 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 11,441 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 88 most recent posts we hold, published 23 July 2026 to 5 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
261
across the posts below
Posts paid on
20
of 88 we hold a reading for · 23%
Most on one post
151
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @rabkor1917. 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 88 most recent posts we hold for this entry, published 23 July 2026 to 5 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: 11 of 22 posts held from the last 30 days (50.0%) 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).
Мы вас сократим, а вы держитесь
Как новый федеральный бюджет скажется на нас. Об этом в нашем посте в рамках совместной рубрики с Евгением Ступиным.*
Евгений Ступин регулярно пишет в своём канале «Депутат Ступин» о различных случаях нарушения социальных прав граждан, связанных с недофинансированием социальной сферы. Например, о том, как уволили выпускницу с красным дипломом из больницы в Краснодаре, потому что она …
Солидарность, а не разочарование
НАСТОЯЩИЙ МАТЕРИАЛ (ИНФОРМАЦИЯ) ПРОИЗВЕДЕН, РАСПРОСТРАНЕН И (ИЛИ) НАПРАВЛЕН КИРИЛЛОМ ФЕЛИКСОВИЧЕМ МЕДВЕДЕВЫМ, ЯВЛЯЮЩИМСЯ УЧАСТНИКОМ «РОССИЙСКОГО СОЦИАЛИСТИЧЕСКОГО ДВИЖЕНИЯ», ВКЛЮЧЕННОГО В РЕЕСТР ИНОСТРАННЫХ АГЕНТОВ 18+
На днях в интервью с Ильей Будрайтскисом Костя Шавловский из Репаблик сказал: "многие наши общие товарищи и друзья, которые определяли себя как левые интеллектуалы, с…
🇺🇸 Вставай, Техас, вставай, мой край родной: левый демократ одержал историческую победу
🪶 Автор: Неравнодушный
Промежуточные выборы в Конгресс и Сенат США показали, что демократы возвращают позиции, утраченные два года назад. Но это уже не совсем та партия, которая скорбела после поражения Камалы Харрис: в её рядах появляются сильные левые кандидаты. Один из них — христианский социал-демократ Джеймс Таларико, побед…
🪶Свои вопросы вы можете задавать под этим постом
💸Особенно ценно, если вы заранее к стриму или во время трансляции поддержите нас донатом: https://www.donationalerts.com/r/rabkortv
⚠Напомним, что под этим постом нужно оставлять только вопросы. Любой флуд и обсуждения в комментариях будут удаляться.
🚩Историческая победа демократов в США. Трампу грозит импичмент?
Промежуточные выборы привели к сокрушительному поражению Трампа. Демократы теперь будут доминировать не только в Палате представителей, но и в Сенате, где традиционно у республиканцев более сильные позиции. Они победили даже в самых республиканских штатах - Техасе, Южной Каролине и Канзасе. Теперь демократы могут попытаться объявить Трампу импичмент.
Т…
🇮🇹 Сотни тысяч на улицах Италии — классовая борьба обостряется? ‼️
✏️ Автор: Arsenio Krasni
На недавнем стриме Красных Юношей от Льва Мирского прозвучал важный вопрос: каким образом массовый протест может конвертироваться в реальную политическую власть прогрессивных сил?
И действительно, если посмотреть на рейтинги голосования до и после протестов что во Франции, что в Италии, то можно обнаружить рост числа людей,…
Князь мира сего
✏️ Автор: Варан.
Сегодня Хэллоуин — главный праздник ужасов, казалось бы, хороший повод отойти от актуальной повестки, немного замедлиться и выйти из бесконечного потока новостей и информации.
Однако жуткое зачастую приходит к современному человеку из обволакивающего его медиашума. Помните тот страх в глазах «просвещенной», «цивилизованной», «либеральной» аудитории после недавних протестов? Как бут…
🎉 С Днем Рождения ведущую канала Рабкор Женю Родионову!
Друзья, сегодня Рабкор поздравляет нашу замечательную ведущую, члена команды Рабкора, нашу прекрасную Женю и призывает присоединиться к поздравлениям наших дорогих подписчиков.
Женя — отличный телевизионный журналист, нам очень повезло с ней, она обогащает Рабкор своим профессионализмом, исключительным умением работать в команде, творческим подходом к любому д…
🚓 Ко дню политзаключённого
Бывают памятные дни, которые встречают с цветами и радостью. Однако, к сожалению, бывают и такие, которые уже отмечены болью и заклеймены поломанными жизнями.
День политзаключённого — один из таких дней. Он, к сожалению, остро актуален для современной России, в которой образовалась огромная пропасть между «правоохранительной» и «правозащитной» деятельностями.
Очень трудно оценить реально…
❤69👍16🙏8🤝2🔥1
Showing the 12 most recent of 88 posts we hold for @rabkor1917. 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.
Posts edited after publishing
@rabkor1917 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
17 August 2026
Most recent edit
6 November 2026
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 21 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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@rabkor1917 named 2 handles 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@freerussianpeople named in 6 posts, 8 August 2026 – 18 August 2026 · confirmed gone 18 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@muzil_audio named in 2 posts, 8 August 2026 – 9 August 2026
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.
Рудой @rud01vb · 18,950 Telegram ranks this channel #3 of 92 here — alongside 91 others — read 3 October 2026
Думай сам/Думай сейчас. @dumai_sam_i_sei4as · 29,825 Telegram ranks this channel #14 of 88 here — alongside 87 others — read 8 September 2026
Диалектик @dialectic_club · 26,302 Telegram ranks this channel #23 of 92 here — alongside 91 others — read 13 September 2026
Politeconomics @politeconomics · 20,967 Telegram ranks this channel #30 of 91 here — alongside 90 others — read 25 September 2026
РТФ. Российский Трудовой Фронт @RotFront_su · 24,967 Telegram ranks this channel #32 of 93 here — alongside 92 others — read 15 September 2026
Профсоюз работников IT @ruitunion · 36,051 Telegram ranks this channel #49 of 94 here — alongside 93 others — read 2 September 2026
Дневник депутата @bondarenko_blog · 47,019 Telegram ranks this channel #78 of 97 here — alongside 96 others — read 17 September 2026
This channel appears in 7 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Рабкор” (@rabkor1917), 17,196 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/rabkor1917.
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.