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 20 August 2026 and assigned it the closest of 31 fixed categories, at 96% 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 5 other registered channels. This entry also sits inside a group of 12 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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 (5 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. 7 of the 7 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 194 comparable posts for this entry, running 5 August 2026 to 12 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 12 channels, the one whose matching posts we hold earliest is @GosSovet. 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 13 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 12 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. 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.
56 measurements spanning 98 days, net +2,018. 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 9,510–12,389 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)
Subscribers
Change
11 Nov 2026, 23:09
12,026
+36
10 Nov 2026, 03:17
11,990
+23
8 Nov 2026, 14:06
11,967
-35
7 Nov 2026, 08:39
12,002
-17
6 Nov 2026, 07:09
12,019
+89
5 Nov 2026, 09:46
11,930
-13
4 Nov 2026, 11:51
11,943
-9
3 Nov 2026, 15:09
11,952
-74
2 Nov 2026, 17:26
12,026
+53
1 Nov 2026, 16:51
11,973
-10
31 Oct 2026, 19:00
11,983
-20
30 Oct 2026, 18:19
12,003
-45
29 Oct 2026, 16:11
12,048
-9
28 Oct 2026, 17:41
12,057
+55
27 Oct 2026, 16:58
12,002
+55
26 Oct 2026, 17:44
11,947
-15
25 Oct 2026, 15:44
11,962
-6
24 Oct 2026, 12:17
11,968
-17
23 Oct 2026, 11:10
11,985
-10
22 Oct 2026, 14:09
11,995
first reading
Engagement
214 posts held, back to 5 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
29.5%
avg views ÷ 12,026 subscribers
Avg views / post
3,550
79 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
79
of 214 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
214 (5 August 2026 – 13 November 2026)
Views total
280,123
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 09:28 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
≈5,110
Videos
≈757
Links
≈6,160
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
51m 03s
Average length
2m 26s
Measured directly from 21 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.
Recent posts
Telegram’s own ‘edited’ marker: 5 of 79 posts held from the last 30 days (6.33%) 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).
Александр Костомаров о губернаторской кампании Егора Ковальчука в Брянской области:
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Три вызова:
• Почему пришёл новый губернатор, если старого только что переизбрали.
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Региональный уровень
Номинация: Лучшая кампания кандидата от парламентской партии в одномандатном округе на выборах в региональный парламент
«Новые люди», Александр Балабанов, Кировская область, одномандатный округ №16
Контекст и стартовые условия
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Кампания в прифронтовом регионе в условиях ежедневных обстрелов, эвакуации 91 тысячи жителей и отсутствия базового чувства безопасности у граждан. Как удалось не только сохранить легитимность выборов, но и показать лучший результат в истории области:
▫️Социально…
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Номинация: Лучшая кампания кандидата от оппозиционной парламентской партии в одномандатном округе на выборах в региональный парламент
Кандидату, которому изначально негласно «запретили» политическую карьеру в регионе, удалось одержать волевую победу над действующим депутатом 🐻«Единой России», обладавшим тотальным административным и э…
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Номинация: Лучшая кампания по выборам в региональный парламент оппозиционной парламентской партии
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Номинация: Лучшая кампания по выборам в региональный парламент оппозиционной парламентской партии
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▫️Ранний …
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Руслан Кухарук — в тройке лучших губернаторов. Экс-мэр Тюмени, а ныне глава Югры номинирован на звание «Губернатор года». В соперниках — пермяк Дмитрий Мах…
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Showing the 12 most recent of 214 posts we hold for @mcrepostregion. 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 50 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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
4
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
3
vacant every time we have ever looked
@mcrepostregion named 4 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.
@izvestia named in 2 posts, 4 November 2026 – 5 November 2026 · confirmed gone 19 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.
@mcrepostreg named in 4 posts, 18 August 2026 – 11 November 2026
@honestscobar named in 2 posts, 19 August 2026 – 20 August 2026
@alexey_besprozvannykh named in 1 post, 8 August 2026 – 8 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.
ГосСовет 2.0 @GosSovet · 22,167 Telegram ranks this channel #2 of 98 here — alongside 97 others — read 20 September 2026
Внеплановая Экономика @vneplanarus · 30,413 Telegram ranks this channel #2 of 100 here — alongside 99 others — read 6 September 2026
ПолитологОрлов @politolog_Orlov · 20,703 Telegram ranks this channel #5 of 98 here — alongside 97 others — read 17 September 2026
Замгубернатора @matrosou · 39,187 Telegram ranks this channel #5 of 99 here — alongside 98 others — read 1 September 2026
Зеленая папка @greenfolder · 34,746 Telegram ranks this channel #7 of 99 here — alongside 98 others — read 3 September 2026
Клуб Регионов @clubrf · 42,197 Telegram ranks this channel #8 of 97 here — alongside 96 others — read 30 August 2026
Землянка @zemlyanushka · 21,462 Telegram ranks this channel #9 of 99 here — alongside 98 others — read 23 September 2026
Политбюро 2.0 @politburo2 · 39,930 Telegram ranks this channel #10 of 95 here — alongside 94 others — read 30 August 2026
16 негритят @Gubery · 83,231 Telegram ranks this channel #10 of 96 here — alongside 95 others — read 18 August 2026
Пять партий @agendarussia · 34,824 Telegram ranks this channel #14 of 98 here — alongside 97 others — read 3 September 2026
Регионал @regionalny · 28,797 Telegram ranks this channel #18 of 97 here — alongside 96 others — read 9 September 2026
Выборный @vibornyk · 92,807 Telegram ranks this channel #19 of 93 here — alongside 92 others — read 16 August 2026
ФоРГО @FoRGO_official · 48,505 Telegram ranks this channel #23 of 99 here — alongside 98 others — read 26 August 2026
Восьмой созыв @rugosduma · 29,146 Telegram ranks this channel #30 of 96 here — alongside 95 others — read 10 September 2026
Майский указ @maydecree · 19,484 Telegram ranks this channel #35 of 95 here — alongside 94 others — read 2 October 2026
Партбилет.35 @partbilet35 · 20,367 Telegram ranks this channel #42 of 91 here — alongside 90 others — read 4 October 2026
Давыдов.Индекс @davydovin · 1,905,917 Telegram ranks this channel #44 of 94 here — alongside 93 others — read 8 August 2026
ЦИК России @cikrossii · 29,049 Telegram ranks this channel #54 of 93 here — alongside 92 others — read 9 September 2026
Политтранзит @PolitTransit · 88,096 Telegram ranks this channel #56 of 99 here — alongside 98 others — read 18 August 2026
СТРАНОВЕД @stranoved · 116,106 Telegram ranks this channel #60 of 100 here — alongside 99 others — read 14 August 2026
Выборка @vyborka · 39,976 Telegram ranks this channel #64 of 97 here — alongside 96 others — read 31 August 2026
Мысли ВиктОра️ @vik_chanel · 65,212 Telegram ranks this channel #68 of 98 here — alongside 97 others — read 3 September 2026
ПОЛИТИКА В КРУГУ @politicsinthecircle · 139,944 Telegram ranks this channel #72 of 95 here — alongside 94 others — read 14 August 2026
Homo Politicus. Мария Сергеева @mariasergeyeva · 19,786 Telegram ranks this channel #73 of 94 here — alongside 93 others — read 29 September 2026
This channel appears in 35 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Минченко. Регионы” (@mcrepostregion), 12,026 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/mcrepostregion.
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.