Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 11 other registered channels. 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.
Matching posts — open both and compare (6 of the pairs behind the counts below)
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. 9 of the 9 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 351 comparable posts for this entry, running 4 August 2026 to 10 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 @set_partia — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 11 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 97 days, net +10. 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 10,941–11,129 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
10 Nov 2026, 23:49
10,975
-4
9 Nov 2026, 09:55
10,979
-3
7 Nov 2026, 23:47
10,982
-4
6 Nov 2026, 19:47
10,986
-2
5 Nov 2026, 18:09
10,988
-4
2 Nov 2026, 19:10
10,992
-13
1 Nov 2026, 18:31
11,005
-7
31 Oct 2026, 22:06
11,012
-7
31 Oct 2026, 01:27
11,019
-4
30 Oct 2026, 04:11
11,023
-10
29 Oct 2026, 02:19
11,033
-5
28 Oct 2026, 01:19
11,038
-3
27 Oct 2026, 00:26
11,041
-3
25 Oct 2026, 22:06
11,044
-5
24 Oct 2026, 20:18
11,049
-2
23 Oct 2026, 23:46
11,051
-7
22 Oct 2026, 21:09
11,058
-3
21 Oct 2026, 20:28
11,061
-9
20 Oct 2026, 19:21
11,070
-9
19 Oct 2026, 18:46
11,079
first reading
Engagement
434 posts held, back to 4 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 57 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.2%
avg views ÷ 10,975 subscribers
Avg views / post
1,340
109 posts measured
Reaction rate
5.14%
reactions ÷ views · ER floor
Posts in window
110
of 434 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 10 November 2026
Posts held
434 (4 August 2026 – 10 November 2026)
Views total
146,158
Reactions total
7,509
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 21:10 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
6h 14m
Average length
4m 01s
Measured directly from 93 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
31,468 reactions across 412 posts, in 26 distinct kinds. The most used accounts for 33.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
10,506
33.4%
💯
4,764
15.1%
😁
3,986
12.7%
❤
2,989
9.50%
👍
2,617
8.32%
🙏
1,354
4.30%
🤬
1,302
4.14%
🤡
755
2.40%
😢
572
1.82%
🤔
531
1.69%
😡
488
1.55%
🙈
450
1.43%
😱
288
0.915%
👏
231
0.734%
❤🔥
195
0.62%
🤯
153
0.486%
👎
88
0.28%
🤝
59
0.187%
⚡
30
0.095%
🦄
26
0.083%
6 further kinds
84
0.267%
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 432 of the 434 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 32,671 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 434 most recent posts we hold, published 4 August 2026 to 10 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
6
across the posts below
Posts paid on
6
of 432 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 @set_partia. 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 434 most recent posts we hold for this entry, published 4 August 2026 to 10 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: 5 of 110 posts held from the last 30 days (4.55%) 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).
🇸🇾🇾🇪 «Отказываются освобождать Сирию, но служат наемниками против Йемена»: Маранди
Иранский аналитик и профессор Тегеранского университета Сейид Мухаммад Маранди прокомментировал отправку сирийских боевиков группировки Абу Мухаммада аль-Джулани на службу саудовско-американской коалиции для войны против Йемена:
Террористы Джулани отказываются освобождать сирийские земли от сионистов, зато воюют против Йемена по прям…
Российские средства ПВО за минувшие сутки сбили четыре американские крылатые ракеты AGM-188A Rusty Dagger, заявили в Минобороны РФ. Это первое официальное сообщение российского ведомства о перехвате таких ракет, разработанных компанией Zone 5 Technologies в рамках американской программы ERAM.
❗ Вы это слышите?
«Арамко представляет весь мир, поэтому нападение на Арамко равносильно нападению на две святыни ислама — оно направлено против всего мира»…
Йеменцы предупреждали, что саудиты считают Арамко своей Меккой. И всё это — на саудовском канале, где Арамко сравнивают с двумя святынями!...
🇾🇪 Ансарулла | Чат | Связь | Поддержать канал
Переговоры в Абу-Даби к чему-то прорывному не приведут. Западная коалиция через переговоры ищет возможность передышки на поле боя, ну чтобы перегруппироваться. Восточная коалиция пытается выйти на статус кво и принудить НАТО к вечному миру.
По сути, точек соприкосновения у диаметрально противоположных сторон нет и не будет. Поэтому не стоит рассчитывать на мир через такие переговоры. Я ставлю на то, что только при …
Вот такое сообщение я получил сегодня. До этого у себя я встречался с представителем ещё одного подразделения который тоже попросил помочь им по возможности. Плюс к этому чуть больше недели сам приехал с Донецкого направления. И везде наши ребята имеют в чём-то нужду. От картошки до мавика, от отвёртки до Старлинка, от генератора до квадроцикла. Поэтому просьба. У кого есть возможность помочь, помогите пожалуйста. Зи…
МЫ не рабы?
Есть одна простая закономерность, которую хорошо описывает пирамида Маслоу: пока человек не решил свои базовые потребности, ему трудно думать о чём-то более высоком. Сначала нужно обеспечить себя едой, жильём, безопасностью. И только после этого появляется возможность заниматься творчеством, созиданием, общественными вопросами и, наконец, устройством государства.
Но что происходит, когда базовая потребн…
Всем профессиональным «монархо-националистическим» утыркам, накатавшим целые простыни о том, что русская революция октября 1917 года - дело рук «таких же профессиональных бездельников», как Ходорковский и компания, и о том, что праздновать 7 Ноября - то же самое, что праздновать «русский Холокост», - ничего сказать не хочу.
Но напоминаю вменяемым читателям, что в «русском Холокосте», между прочим, участвовали все ма…
Советский Союз имел мощную и привлекательную идеологию: равенство, социальная справедливость, возможность голосу страны быть услышанным.
На советский проект ориентировалось множество государств, считавших эпоху глобального доминирования стран Запада несправедливой. Советское наследие никуда не исчезло и живёт до сих пор. Китай, Вьетнам, КНДР, Куба, Никарагуа и др. - яркое тому подтверждение.
Но наш противник тоже н…
🔥30❤4
Signed Максим Шевцов
Showing the 12 most recent of 434 posts we hold for @set_partia. 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 12 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
1
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
0
vacant every time we have ever looked
@set_partia named 1 handle 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.
@tsargradtv named in 1 post, 21 August 2026 – 21 August 2026 · confirmed gone 15 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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.
Перехват управления @logikadysha · 36,927 Telegram ranks this channel #1 of 84 here — alongside 83 others — read 1 September 2026
Алан Мамиев "ЗОВ Предков" @AlanMamiati · 62,205 Telegram ranks this channel #2 of 87 here — alongside 86 others — read 22 August 2026
Владимир Лепехин | Канал @vladimirlepehin · 45,940 Telegram ranks this channel #5 of 90 here — alongside 89 others — read 27 August 2026
СВОБОДНОЕ ДЫХАНИЕ -- ☢ЯДрёна WatchЬ‼️ @shingarkin · 24,434 Telegram ranks this channel #19 of 91 here — alongside 90 others — read 18 September 2026
Алан Мамиев ИНТЕНСИВ @intensiv_Mamiev · 30,384 Telegram ranks this channel #21 of 81 here — alongside 80 others — read 7 September 2026
Хранители и Вершители @alphaingenium · 103,795 Telegram ranks this channel #21 of 89 here — alongside 88 others — read 15 August 2026
Андрей Девятов @AndreyDevyatov · 35,354 Telegram ranks this channel #33 of 92 here — alongside 91 others — read 2 September 2026
ГИБРИДНАЯ ВОЙНА @hybridwarfare · 20,284 Telegram ranks this channel #35 of 86 here — alongside 85 others — read 27 September 2026
Приключения Правоведов @firstchannelforyou · 20,414 Telegram ranks this channel #35 of 72 here — alongside 71 others — read 27 September 2026
Охотник на связи @ohotnik_na_sviazy · 74,174 Telegram ranks this channel #35 of 84 here — alongside 83 others — read 6 September 2026
Спец @spetstv · 21,561 Telegram ranks this channel #36 of 87 here — alongside 86 others — read 23 September 2026
Ekaterina Sinitsyna Santoni гид Рима, Ватикана и Сиены. @ekaterinasinitsynasantoni · 19,034 Telegram ranks this channel #48 of 87 here — alongside 86 others — read 4 October 2026
Злой эколог @zloyecolog · 112,016 Telegram ranks this channel #55 of 91 here — alongside 90 others — read 14 August 2026
Будьте здоровы! А.Редько @budte_zdorovi_vse · 33,607 Telegram ranks this channel #56 of 92 here — alongside 91 others — read 4 September 2026
Grimuare | Dr. Vladimir @grimuare · 19,712 Telegram ranks this channel #57 of 83 here — alongside 82 others — read 29 September 2026
ТЗС (Правозащитное Сообщество Торжества Здравого Смысла) @victoria_de_communi_sensu · 23,881 Telegram ranks this channel #57 of 85 here — alongside 84 others — read 17 September 2026
Вадим Шегалов. PLANDEMIA.NEWS @voyager1970 · 44,673 Telegram ranks this channel #59 of 87 here — alongside 86 others — read 27 August 2026
🔥Здравомыслие @osoznanie_i_probuzhdenie2023 · 23,150 Telegram ranks this channel #68 of 82 here — alongside 81 others — read 19 September 2026
ПРОБУЖДЕНИЕ канал @probuzdenie17 · 27,951 Telegram ranks this channel #70 of 88 here — alongside 87 others — read 10 September 2026
Агент свободы | тайный юрист @agent_svobodi · 34,612 Telegram ranks this channel #74 of 75 here — alongside 74 others — read 2 September 2026
Светлана Лада-Русь @S_Lada_Rus · 23,315 Telegram ranks this channel #75 of 81 here — alongside 80 others — read 19 September 2026
Ольга Четверикова | Официальный канал @ONCHETVERIKOVA · 31,384 Telegram ranks this channel #76 of 93 here — alongside 92 others — read 6 September 2026
Hyperborea @hyperboreaX · 58,274 Telegram ranks this channel #78 of 92 here — alongside 91 others — read 22 August 2026
Павел Иванов | Аудио статьи @a_articles · 108,844 Telegram ranks this channel #80 of 88 here — alongside 87 others — read 14 August 2026
This channel appears in 26 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Максим Шевцов информационный проект #сетевая_партия. Добрая поддержка 2202 2053 4970 7429 "Сбер"” (@set_partia), 10,975 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/set_partia.
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.
