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 8 August 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 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 2 other registered channels. 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. 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 125 comparable posts for this entry, running 28 July 2026 to 14 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).
Recorded under the key clone_source, last confirmed 15 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.
Growth
66 measurements spanning 99 days, net -4,809. 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 398,085–409,751 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)
Subscribers
Change
12 Nov 2026, 15:50
403,174
+810
10 Nov 2026, 11:11
402,364
+439
8 Nov 2026, 21:50
401,925
+226
7 Nov 2026, 16:20
401,699
+201
6 Nov 2026, 18:29
401,498
+429
5 Nov 2026, 15:16
401,069
-290
4 Nov 2026, 15:34
401,359
+300
3 Nov 2026, 15:08
401,059
+233
2 Nov 2026, 12:20
400,826
+68
1 Nov 2026, 11:00
400,758
+211
31 Oct 2026, 09:28
400,547
+274
30 Oct 2026, 06:26
400,273
+331
29 Oct 2026, 05:50
399,942
+511
28 Oct 2026, 01:01
399,431
-569
27 Oct 2026, 00:06
400,000
-15
26 Oct 2026, 01:19
400,015
-1
25 Oct 2026, 04:29
400,016
-450
24 Oct 2026, 06:10
400,466
-7
23 Oct 2026, 06:50
400,473
+31
22 Oct 2026, 05:31
400,442
first reading
Engagement
142 posts held, back to 28 July 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 204 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
50.9%
avg views ÷ 403,174 subscribers
Avg views / post
205,000
45 posts measured
Reaction rate
3.26%
reactions ÷ views · ER floor
Posts in window
45
of 142 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 14 November 2026
Posts held
142 (28 July 2026 – 14 November 2026)
Views total
9,229,000
Reactions total
300,798
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Nov 2026, 02:06 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
≈1,100
Videos
≈738
Links
≈842
Lifetime counters from Telegram’s own channel header, read 15 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
50m 08s
Average length
1m 37s
Measured directly from 31 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
882,745 reactions across 135 posts, in 2 distinct kinds. The most used accounts for 77.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
686,860
77.8%
❤
195,885
22.2%
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 142 of the 142 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 920,210 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 142 most recent posts we hold, published 28 July 2026 to 14 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
9,219
across the posts below
Posts paid on
135
of 142 we hold a reading for · 95%
Most on one post
1,080
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @panchenkodi. 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 142 most recent posts we hold for this entry, published 28 July 2026 to 14 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: 24 of 45 posts held from the last 30 days (53.3%) 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).
Тайное становится явным.
Глава наркокартеля ХИМПРОМ в интервью подтвердил, что Зеленский превратил Украину в международный центр мошеннических колл-центров и наркоторговли.
Буркин называет конкретные цифры и имена. Ежегодно они передавали украинским правоохранителям $350 000 000. Деньги оседали у заместителя главы Офиса Президента Татарова.
По его словам, общий доход телефонных мошенников в Украине $2–3 МИЛЛИАРДА …
Мэр Днепра обвинил меня в создании пророссийской сети влияния и настучал в СБУ.
Боря, Лачен может брать деньги там, где хочет. Это его канал. Ты нас не запугаешь.
Боря, оставь город и уйди в отставку! Прекрасный город Днепропетровск, известный на весь мир умнейшими людьми и заводами, превратили в мировую столицу мошенников. Где собрались люди, которые крадут у стариков последнее.
Подлецы.
На переговорах договорились обсуждать инфраструктуру НАТО и общеевропейскую безопасность.
Что будет дальше - отдельный разговор.
Важно зафиксировать: сегодня мы вернулись ровно на 5 лет назад.
В декабре 2021 Путин выступил с предложением обсудить инфраструктуру НАТО и общую архитектуру безопасности.
Тогда США и ЕС его предложение просто проигнорировали.
В ноябре 2026 США и ЕС сами просятся за стол.
Ва…
Панченко - пропагандист?
Mercedes замораживает инвестиции в Германию и собирается закрывать заводы.
Совсем недавно мы сделали видео "Россия побеждает ЕС", в котором наглядно показывали, что российская экономика чувствует себя сильно лучше европйеской.
Даже под ударами дронов российские заводы работают и продолжают нанимать людей, а немецкие закрываются.
Тогда могло показаться, что это российская пропаганда.
Но п…
Буквально за несколько минут мне пришло еще 55 писем с адресами и историями.
От Харькова до Львова. На русском и на украинском.
Все я разбираю лично, поэтому обратную связь могу давать не сразу.
Но отвечу на два популярных вопроса:
1. России надо/не надо бить по этим адресам?
• Россия точно обладает гораздо большим количеством разведданных, чем я. Пусть агентов ищут в Офисе Зеленского. Ведь кто-то же слил адреса …
Важно!
Публикую адреса незаконных тюрем в Украине. Это только та часть, где вместе с людьми нам удалось выяснить конкретные данные.
Обращаюсь к СМИ. Просто проверьте эти адреса! Нужна огласка.
Знаю, что в Офисе Зеленского внимательно следят за мной. И то, что мы публикуем эти адреса, уже дает надежду, что беспредела там станет меньше.
Киевская область, город Киев:
• ул. Бориспольская, 30А (Дарницкая автошкола);
•…
Мы провели собственное расследование о пыточных в Украине.
Я публикую перечень адресов незаконных тюрем по всей Украине. Там пытают и удерживают людей, которых похищают на улицах. Требуют у родных выкуп. Кто не может заплатить - того отправляют на фронт или он исчезает без вести.
Адреса - государственные помещения. Бывшие детские садики, пионерские лагеря, санатории, заводы…
Даже студенческие поликлиники. Как поли…
Переговоры в Абу-Даби.
США, Россия, Украина.
ЕС сидит под дверью.
Но никто не говорит про один из самых важных факторов...
Сегодня хочу сказать вам про фактор Ирана.
Вам это может показаться чем-то невероятным, но давайте не забегать наперёд.
На днях иранское правительство сняло ограничения на дальность своих ракет. Иранские официальные лица уже не раз обсуждали удары по территории Украины и ЕС.
И теперь самое …
К чему приведут переговоры по Украине?
На данном этапе Россия победила НАТО.
Для того чтобы это понять, нужно смотреть не на стрелочки около сёл на карте, а на конфликт двух потенциалов: НАТО и России.
Россия принимает удары, но чувствует себя уверенно. В это время Украина - разрушена, НАТО - расколото...
Западный план по использованию Украины как тарана для разгрома России провалился. Это уже все понимают.
Росс…
Дорогие женщины,
я уже просила вас ставить своим мужьям GPS-маячки.
Также много сообщений о том, что во всех камерах пыточных есть подставные лица. Их задача - следить за всеми разговорами, втираться в доверие, пытаться выяснить, с кого и сколько денег можно вытянуть.
Прошу предупредить близких.
Часто спрашивают: как Украина и Россия будут жить после войны?
Я всегда говорила, что Зеленский настолько примитивный, что доруководится до того, что украинцы будут считать его оккупантом, а русских - освободителями.
Кому-то это кажется невозможным, но пример - в письме выше.
Да. Для того чтобы это признать, надо много внутренней силы. Как у человека это написавшего. Но это неизбежно.
В ближайшее время мобилизаци…
Украину ждут массовые посадки.
За препятствование работе ТЦК - до 15 лет тюрьмы.
Я об этом предупреждала… После скандала в Киеве режим будет закручивать гайки.
Вся страна и до этого знала про пыточные. Теперь, после легализации в СМИ, будет еще жестче. Всех, кто попытается привлечь внимание к теме, всех, кто попытается спасти близких, и просто всех, кто попытается сбежать от ТЦК, ждет тюрьма.
Любые попытки препят…
❤2,710👍2,070
Showing the 12 most recent of 142 posts we hold for @panchenkodi. 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
@panchenkodi edited 13 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
12 August 2026
Most recent edit
15 November 2026
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 142 most recent posts we hold, published 28 July 2026 to 14 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 74 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 39 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.
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 10 August 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.
ОЛЕСЯ МЕДВЕДЕВА @Medvedeva_Olesya · 36,099 Telegram ranks this channel #2 of 93 here — alongside 92 others — read 18 September 2026
Диана Панченко + @PanchenkoNews · 23,290 Telegram ranks this channel #2 of 93 here — alongside 92 others — read 18 September 2026
ХтоШо⚡️Сергей Черкасский @htosho · 104,910 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 15 August 2026
Включай Мозги @chelovek_kotoryi · 53,473 Telegram ranks this channel #3 of 92 here — alongside 91 others — read 24 August 2026
Dubinsky.pro @dubinskypro · 172,858 Telegram ranks this channel #3 of 93 here — alongside 92 others — read 12 August 2026
Антон Шабашов @antohakrasava · 37,308 Telegram ranks this channel #4 of 91 here — alongside 90 others — read 31 August 2026
Павел Щелин. Официальный канал. @common_sen · 82,815 Telegram ranks this channel #4 of 95 here — alongside 94 others — read 18 August 2026
Бондаренко: Былое и Думы @kost1969 · 84,791 Telegram ranks this channel #4 of 92 here — alongside 91 others — read 18 August 2026
Артем Дмитрук @dmytrukartem · 157,356 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 12 August 2026
PASHA TODAY @pashatoday_new · 27,167 Telegram ranks this channel #5 of 90 here — alongside 89 others — read 10 September 2026
Михаил Советский @mihail_sovetskij · 101,530 Telegram ranks this channel #7 of 89 here — alongside 88 others — read 15 August 2026
ОЛЬГА ШАРИЙ @OlgaSharij · 113,803 Telegram ranks this channel #7 of 90 here — alongside 89 others — read 14 August 2026
msk_53 @msk_53 · 24,166 Telegram ranks this channel #8 of 90 here — alongside 89 others — read 16 September 2026
КОЛОБОК ИЗ ОДЕССЫ @kolobok_odesa · 103,153 Telegram ranks this channel #8 of 94 here — alongside 93 others — read 23 August 2026
ТАРАС СИДОРЕЦ💡 @tarik_news · 96,018 Telegram ranks this channel #8 of 92 here — alongside 91 others — read 15 August 2026
Мисливец Егор @socedinstvo · 179,630 Telegram ranks this channel #8 of 93 here — alongside 92 others — read 11 August 2026
Степан Демура @sgdemura · 33,329 Telegram ranks this channel #9 of 95 here — alongside 94 others — read 5 September 2026
ШЕЛЕСТ @shelestlive · 139,674 Telegram ranks this channel #9 of 92 here — alongside 91 others — read 13 August 2026
ПРАВДА ДМИТРИЯ СПИВАКА @pravda_DS · 127,897 Telegram ranks this channel #10 of 89 here — alongside 88 others — read 27 September 2026
Владимир Горбовский @gorbovskiyfsb · 24,458 Telegram ranks this channel #10 of 81 here — alongside 80 others — read 15 September 2026
Николай Дульский. Официальный канал НКО «Формат 45» @DulskiyN · 27,465 Telegram ranks this channel #10 of 90 here — alongside 89 others — read 10 September 2026
ОСОБОЕ МНЕНИЕ @osob_mnenie · 55,503 Telegram ranks this channel #10 of 92 here — alongside 91 others — read 23 August 2026
Женщина с косой @skosoi · 108,965 Telegram ranks this channel #10 of 90 here — alongside 89 others — read 14 August 2026
Дмитрий Никотин @dmitrynikotin · 695,319 Telegram ranks this channel #10 of 91 here — alongside 90 others — read 8 August 2026
This channel appears in 200 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.
Domains linked from posts
One domain this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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.
“ПАНЧЕНКО” (@panchenkodi), 403,174 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/panchenkodi.
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.