National news — 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 92% 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 word for word 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)
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. 5 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 26 comparable posts for this entry, running 4 August 2026 to 7 August 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).
Across the whole group of 3, the earliest publisher we hold is @hymfront. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_source, last confirmed 8 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
62 measurements spanning 93 days, net -1,108. 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 23,266–24,706 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
8 Nov 2026, 08:20
23,432
-19
7 Nov 2026, 01:17
23,451
-12
6 Nov 2026, 00:07
23,463
-9
5 Nov 2026, 01:07
23,472
-19
4 Nov 2026, 04:39
23,491
-6
3 Nov 2026, 06:59
23,497
-12
2 Nov 2026, 09:26
23,509
-6
1 Nov 2026, 07:29
23,515
-5
31 Oct 2026, 10:11
23,520
-17
30 Oct 2026, 06:40
23,537
-8
29 Oct 2026, 08:49
23,545
-4
28 Oct 2026, 09:40
23,549
-7
27 Oct 2026, 10:06
23,556
-7
26 Oct 2026, 12:19
23,563
-9
25 Oct 2026, 11:10
23,572
-9
24 Oct 2026, 10:05
23,581
-9
23 Oct 2026, 11:05
23,590
-10
22 Oct 2026, 12:10
23,600
-17
21 Oct 2026, 04:17
23,617
-18
20 Oct 2026, 01:40
23,635
first reading
Engagement
489 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 115 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.3%
avg views ÷ 23,432 subscribers
Avg views / post
4,290
151 posts measured
Reaction rate
8.57%
reactions ÷ views · ER floor
Posts in window
151
of 489 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 8 November 2026
Posts held
489 (4 August 2026 – 8 November 2026)
Views total
647,786
Reactions total
55,485
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Nov 2026, 02:33 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
≈11,700
Videos
≈5,310
Links
≈2,650
Lifetime counters from Telegram’s own channel header, read 9 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
4h 45m
Average length
2m 25s
Measured directly from 118 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
175,468 reactions across 489 posts, in 13 distinct kinds. The most used accounts for 31.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🙏
55,448
31.6%
🤬
39,699
22.6%
😢
25,912
14.8%
🔥
17,437
9.94%
❤
15,656
8.92%
👍
15,231
8.68%
❤🔥
2,089
1.19%
😁
1,395
0.795%
🤣
1,256
0.716%
👏
786
0.448%
🎉
360
0.205%
🥰
106
0.06%
🤩
93
0.053%
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 489 of the 489 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 175,468 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 489 most recent posts we hold, published 4 August 2026 to 8 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: 0 of 151 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🚌 Зеленський доручив уряду надати програму безкоштовного проїзду в столичному наземному транспорті та достатнього резерву автобусів для Києва
«Опрацьовується необхідна кількість транспорту, реорганізація дорожнього руху у визначених частинах Києва. Важливо, щоб уряд підготував і конкретні заходи підтримки безперебійної та гарантовано доступної роботи міського наземного транспорту в умовах збоїв в роботі метро чи вик…
В Києві померла 56-річна Олена Пироженко, яку евакуювали з Олешок наприкінці жовтня, – про це повідомили її колеги
Жінку з важкими порушеннями рухових функцій вивезли реанімобілем і госпіталізували до столичної клініки. Однак організм, виснажений хворобою та окупацією, не витримав.
Її чоловік помер в окупації навесні.
🇺🇸 Зять Трампа Джаред Кушнер запропонував Європі взяти за основу майбутніх переговорів із росією формат Ради росія-НАТО, – повідомляє WP
🇪🇺 Європейські політики готові говорити з росією про безпеку, але лише після припинення вогню в Україні.
москва ж наполягає на іншому підході: спочатку домовитися про умови завершення війни та гарантії безпеки для росії.
Сьогодні зранку росіяни атакували FPV-дроном Комишуваху, де вже сьому добу тривають аварійно-рятувальні роботи після удару авіабомб, який забрав життя 55 людей, і, на жаль, під завалами ще можуть залишатися люди. Абсолютний цинізм і жорстокість. Була вночі атака по Дніпровщині. Росіяни вдарили по енергетиці, і понад 600 тисяч людей у Дніпрі та області залишилися без світла. Складна ситуація на Харківщині. Багато відк…
🫂 Перші жителі Олешків уже завершили лікування та вирушили до своїх родичів, - Лубінець
За його словами, виписалися саме ті люди, які мають рідних або знайомих на підконтрольній Україні території. Водночас іншим олешківцям продовжують надавати комплексну допомогу: медичну, соціальну та психологічну.
Офіс омбудсмана повністю координує роботу державних служб, благодійних і правозахисних організацій, щоб забезпечити л…
Найбільше уражень російських окупантів забезпечує саме «Альфа». І насправді дуже хотілося б тільки таких результатів і від усіх інших складових Служби безпеки.
На жаль, цей тиждень приніс зовсім інші новини про СБУ – відверто неприємно, відверто ганебно, абсолютно неприпустимі речі. І були вже через це звільнення в Службі безпеки України, і будуть ще інші кадрові рішення. Важливо, щоб розслідування дало повну правду…
❗️️️️️️️ Росія могла вдарити ракетами KN-23 з КНДР по енергооб'єкту України - Зеленський
«В ударі цієї ночі було 36 ракет, які заходять на ціль по балістичній траєкторії. Знешкодити вдалося тільки чотири ракети», - зазначив Зеленський.
За його словами, зберігається значний дефіцит перехоплювачів для «Петріотів», і допомогти його подолати можуть передусім Сполучені Штати.
За останні 24 години енергооб’єкти України були уражені 18 разів — Шмигаль
“Наші пріоритети: поповнення резервів енергетичного обладнання та посилення захисту, зокрема переходів ліній електропередачі через Дніпро. Домовилися про фінансову підтримку партнерами закупівель продукції, необхідної для відновлювальних робіт. Розраховуємо також на постачання трансформаторів, турбін і генераторів, які виготовляють, зокрема, …
ГУР ідентифікувало російських військових, причетних до вбивства щонайменше 55 людей у Комишувасі.
Операцію спланував полковник Федір Зубаков — начальник групи вогневого ураження штабу російського угруповання військ «Днєпр».
До атаки залучили чотири літаки Су-34.
Льотчики, які здійснювали бомбові удари:
• капітан Сергій Єлісєєв;
• капітан Дмитро Звєрєв;
• старший лейтенант Родіон Плотніков;
• старший лейтенант Мик…
До тристоронніх перемовин Росія готується, запускаючи балістику по українській критичній інфраструктурі. Де дозволяє безпекова ситуація, тривають ремонтні та рятувальні роботи у постраждалих регіонах. Комбінована була атака, загалом росіяни застосували 172 дрони і 36 балістичних ракет, і всі ракети – по Києву та області. Головна мішень удару – знову енергетика. У столиці складна ситуація з постачанням електрики, води…
🙏206🤬41❤21😢16
Showing the 12 most recent of 489 posts we hold for @zelenskiy_vol. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
Реальна Війна | Україна | Новини @voynareal · 1,544,086#1
Read from Telegram’s recommendation API, most recently 17 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.
🎉 Вітання 🎉 Привітання та листівки @pryvitannyalystivky · 29,744 Telegram ranks this channel #32 of 58 here — alongside 57 others — read 7 September 2026
Привітання та листівки @vitanyalystivky · 40,149 Telegram ranks this channel #37 of 60 here — alongside 59 others — read 15 September 2026
Квіти та рослини @kvity_ta_roslyny · 24,460 Telegram ranks this channel #45 of 56 here — alongside 55 others — read 15 September 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“Володимир Великий” (@zelenskiy_vol), 23,432 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/zelenskiy_vol.
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.
