Politics & activism — 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 97% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 278 comparable posts for this entry, running 29 July 2026 to 11 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 2 channels, the one whose matching posts we hold earliest is @andrejdevyatov — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 12 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
63 measurements spanning 98 days, net +309. 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 24,927–25,467 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
12 Nov 2026, 01:39
25,306
-5
10 Nov 2026, 04:06
25,311
-11
8 Nov 2026, 18:01
25,322
-11
7 Nov 2026, 14:16
25,333
-3
6 Nov 2026, 15:56
25,336
-7
5 Nov 2026, 15:41
25,343
-10
4 Nov 2026, 18:50
25,353
-7
3 Nov 2026, 20:15
25,360
+1
2 Nov 2026, 21:20
25,359
+7
1 Nov 2026, 18:28
25,352
+5
30 Oct 2026, 19:29
25,347
-3
29 Oct 2026, 21:31
25,350
-1
28 Oct 2026, 22:46
25,351
-6
28 Oct 2026, 00:20
25,357
-5
26 Oct 2026, 21:46
25,362
-4
25 Oct 2026, 18:32
25,366
-15
24 Oct 2026, 19:27
25,381
-4
23 Oct 2026, 21:17
25,385
-5
22 Oct 2026, 20:37
25,390
-12
21 Oct 2026, 15:21
25,402
first reading
Engagement
290 posts held, back to 29 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 145 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
21.1%
avg views ÷ 25,306 subscribers
Avg views / post
5,330
57 posts measured
Reaction rate
1.61%
reactions ÷ views · ER floor
Posts in window
58
of 290 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 11 November 2026
Posts held
290 (29 July 2026 – 11 November 2026)
Views total
303,860
Reactions total
4,901
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 21:52 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
11h 39m
Average length
41m 09s
Measured directly from 17 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
22,904 reactions across 281 posts, in 46 distinct kinds. The most used accounts for 28.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
6,464
28.2%
👍
5,498
24.0%
🔥
2,431
10.6%
💯
2,295
10.0%
🤔
1,986
8.67%
✍
726
3.17%
🕊
653
2.85%
⚡
520
2.27%
❤🔥
512
2.24%
🙏
375
1.64%
🤡
235
1.03%
😁
231
1.01%
👏
174
0.76%
👀
97
0.424%
🫡
96
0.419%
😢
86
0.375%
🤬
74
0.323%
🤝
72
0.314%
💊
66
0.288%
👎
40
0.175%
26 further kinds
273
1.19%
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 285 of the 290 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 23,262 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 290 most recent posts we hold, published 29 July 2026 to 11 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.
Recent posts
Telegram’s own ‘edited’ marker: 5 of 58 posts held from the last 30 days (8.62%) 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).
Почему Иван Грозный был царём, а Пётр Великий стал императором? И почему это различие определило судьбу России?
Политика — это вопрос власти. Небополитика — это вопрос власти от Неба. В библейской цивилизации власть от Неба на земле называется Царством Божиим. Власть от Рима на земле называется Империей. А в китайской цивилизации Владыка Поднебесной носит имя Сына Неба.
Сакральный путь Руси был исковеркан Петром Ве…
Успех великого дела превращения КНР в мирового лидера обеспечивает коллективная мудрость кланов, достигших консенсуса: красный + синий + желтый (вместе коричневый цвет восточной деспотии новой эпохи Си Цзиньпина) — это основные цвета палитры власти, складывающих троичную гармонию мира.
При этом в финансовой системе на внешнем контуре двойной циркуляции доллар \ юань прагматики сдвинули пропорцию: российское сырье и …
Китайцы провели тщательное расследование причин краха КПСС.
Вывод: главная причина краха – противоборство СССР с США при закостенении системы и отсутствии социальных лифтов для молодых лично годных и креативных.
Дэн Сяопин оставил завещание: ни в коем случае не повторять ошибки КПСС, не вступать в открытое противоборство с США не допускать холодной войны.
Пропаганда РФ после начала 24.02.22 боевых действий на Укра…
Новая Россия – в растяжке своей самости толи от Орды (евразийство Ивана Грозного), толи от Рима (византийство Петра Великого), под символом орла с раздвоенной головой, венчаемой короной Российской империи, растеряла ценности демократии «государства Ельцина» и, по словам злобных отщепенцев, «в окружении политических пигмеев Африки демонстрирует величие курицы, взлетевшей на забор».
Андрей Девятов. Небополитика.
Подпи…
Ленинизм новой эпохи — это вопрос, как организовать народный контроль над пагубными искривлениями линии власти.
И не нашли пока. В государстве Путина хотели сделать это через общественные палаты, в центре и на местах. Но олигархат, партия власти не допустили их до этой функции. Поэтому общественные палаты выродились вообще в ничто!
А ведь Советская власть — это не правящая партия, не диктатура бюрократов, жуликов и…
Семья — главная ценность. Особенно семья Ельцина!
Сейчас у нас великая консервативная держава. Единство народов — это удержание того, что есть, с опорой на традиционные ценности.
Наконец-то появился реестр этих ценностей. Я его не видел, не читал. Но основная традиционная ценность — крепкая семья.
А тут я вспоминаю: Путин нам не демонстрирует победу традиционной ценности крепкой семьи. А кто демонстрировал семью и…
Кто при кассе стоять будет?
Когда мы вспоминаем князя Пожарского, надо вспомнить и гражданина Минина. Дело в том, что на памятнике Минину и Пожарскому присутствует сундук с деньгами.
Ведь народное ополчение — это не просто призыв спасать Отечество. Нужно ещё понимать, кто при кассе стоять будет. Кто обеспечит это дело деньгами?
А сейчас ситуация с народным ополчением трудная. Почему? Потому что народ наш, ну как у…
У мировой закулисы свои капиталы, у государства — казна. А Небополитика держится на тех, кто не ждёт указаний сверху, умеет мыслить самостоятельно и хочет понимать, куда движется мир. Благодаря вам наше дело продолжается. ❤️
💳 Сбер
2202206919893532
📱 СБП без комиссии
+79160625766
Если же рублю в вашем кошельке стало одиноко среди юаней, шекелей, криптовалют и золота мирового закулисья — не будем обижать и остальные…
Коммунизм без пролетариата. Ленин бы удивился!
Ленинизм новой эпохи не путайте с ленинизмом индустриального общества. Там была диктатура пролетариата. Пролетариата нету, крестьян нету, вместо крестьянства какие-то аграрии. Всё это ушло с индустриальным обществом. А принципы ленинизма остались.
Я вам напомню ленинскую формулировку: коммунизм — это Советская власть плюс электрификация всей страны.
Почему электрифика…
Новая война идёт не за территории
В информационном обществе война стала другой. Война оружия — только одна из её граней. Экономика, финансы, информация действуют самостоятельно, а главную позицию занимает ментальная война. Потому что решающее значение теперь имеют не только интересы, территории и ресурсы, а ценности и святыни. Победил в ценностях и святынях — всё остальное прикладывается. Тот, кто захватывает их и и…
❤58🔥18🫡9🙏6✍3
Showing the 12 most recent of 290 posts we hold for @andrejdevyatov. 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.
Posts edited after publishing
@andrejdevyatov edited 1 post 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
1 September 2026
Most recent edit
1 September 2026
Posts recorded as deleted after publishing
We recorded 4 posts on @andrejdevyatov as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
14 August 2026
Most recent seen missing
25 August 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
0
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 18 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 14 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Андрей Девятов @AndreyDevyatov · 35,354 Telegram ranks this channel #3 of 92 here — alongside 91 others — read 2 September 2026
Институт Русской Политической Культуры @fvuchannal · 28,721 Telegram ranks this channel #6 of 94 here — alongside 93 others — read 9 September 2026
Андрей Фурсов @fursov_andrey · 46,625 Telegram ranks this channel #6 of 94 here — alongside 93 others — read 27 August 2026
Клуб Русской Правды🇷🇺 @clubpravda · 86,947 Telegram ranks this channel #7 of 92 here — alongside 91 others — read 17 August 2026
СВОБОДНОЕ ДЫХАНИЕ -- ☢ЯДрёна WatchЬ‼️ @shingarkin · 24,434 Telegram ranks this channel #8 of 91 here — alongside 90 others — read 18 September 2026
Перехват управления @logikadysha · 36,927 Telegram ranks this channel #8 of 84 here — alongside 83 others — read 1 September 2026
Михаил Хазин Публикации @khazinmikhail · 51,428 Telegram ranks this channel #11 of 91 here — alongside 90 others — read 25 August 2026
Fikrat Shabanov @Fikrat_Shabanov · 60,275 Telegram ranks this channel #15 of 92 here — alongside 91 others — read 22 August 2026
Аврора @aurora_network · 30,158 Telegram ranks this channel #17 of 94 here — alongside 93 others — read 7 September 2026
Хистори.Эко @history_eco · 21,628 Telegram ranks this channel #22 of 91 here — alongside 90 others — read 23 September 2026
Социософт.ТВ @sociosoft · 20,187 Telegram ranks this channel #23 of 93 here — alongside 92 others — read 28 September 2026
МИРОНОВ ДЕ-ФАКТО @mironov_de_facto · 18,844 Telegram ranks this channel #26 of 83 here — alongside 82 others — read 5 October 2026
Михаил Хазин @hazinOpen · 50,002 Telegram ranks this channel #26 of 92 here — alongside 91 others — read 25 August 2026
Дмитрий Перетолчин — «Картина Мира» @ndayclub · 23,524 Telegram ranks this channel #27 of 96 here — alongside 95 others — read 18 September 2026
Владимир Лепехин | Канал @vladimirlepehin · 45,940 Telegram ranks this channel #27 of 90 here — alongside 89 others — read 27 August 2026
Книжный день @knijnij_den · 45,999 Telegram ranks this channel #29 of 94 here — alongside 93 others — read 27 August 2026
Перспектива @perspektyva369 · 30,904 Telegram ranks this channel #32 of 94 here — alongside 93 others — read 6 September 2026
Виктор Ефимов @viktorefimof · 26,490 Telegram ranks this channel #33 of 95 here — alongside 94 others — read 12 September 2026
Вадим Шегалов. PLANDEMIA.NEWS @voyager1970 · 44,673 Telegram ranks this channel #33 of 87 here — alongside 86 others — read 27 August 2026
Каринэ Геворгян. Избранное. @gevorgyankarine · 108,355 Telegram ranks this channel #34 of 91 here — alongside 90 others — read 14 August 2026
Мир в Моменте @MIrvMomente · 73,048 Telegram ranks this channel #37 of 90 here — alongside 89 others — read 19 August 2026
Говорит Фурсов @govoritfursov · 129,098 Telegram ranks this channel #38 of 91 here — alongside 90 others — read 13 August 2026
Войтенков МЫСЛИ @voitenkov · 21,315 Telegram ranks this channel #39 of 91 here — alongside 90 others — read 23 September 2026
Кямиль Аскерханов - Мнение @KamilAskerkhanov · 27,844 Telegram ranks this channel #39 of 90 here — alongside 89 others — read 18 September 2026
This channel appears in 38 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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.
“Андрей Девятов. Небополитика” (@andrejdevyatov), 25,306 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/andrejdevyatov.
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.