Crypto & trading — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 63% 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 why it has no browse page of its own yet.
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 3 other registered channels. They sit inside a group of 5 channels that share the same post bodies 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 (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. 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 12 comparable posts for this entry, running 7 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 5, the earliest publisher we hold is @gruzzz200d. That is a statement about our reading window, not a claim of authorship.
Views per post sit far below this size band
20.1 average views per post against 8,538 subscribers — an engagement rate of 0.235%. Across the 12,055 registered channels in the same cohort — 3,167–9,999 subscribers, posting mainly in Russian — the middle half sit between 5.57% and 20.1%, with a median of 10.9%.
What this was computed from
Window
30 days (11 August 2026 – 10 September 2026)
Posts measured
172 of 172 published in the window (172 exact, 0 rounded by Telegram)
Views totalled
3,456
Mature posts only
0.369% over 16 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the keys clone_source · err_low, last confirmed 10 September 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 4 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.
12 measurements spanning 31 days, net -258. 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 8,499–8,835 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Sept 2026, 16:17
8,538
-30
2 Sept 2026, 11:38
8,568
-36
30 Aug 2026, 15:34
8,604
-28
27 Aug 2026, 10:57
8,632
-28
24 Aug 2026, 09:56
8,660
-22
21 Aug 2026, 01:13
8,682
-35
17 Aug 2026, 16:16
8,717
-33
14 Aug 2026, 06:38
8,750
-20
11 Aug 2026, 09:07
8,770
-22
8 Aug 2026, 07:15
8,792
-4
7 Aug 2026, 17:16
8,796
no change
7 Aug 2026, 17:03
8,796
first reading
Engagement
216 posts held, back to 7 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 29 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.235%
avg views ÷ 8,538 subscribers
Avg views / post
20.1
172 posts measured
Reaction rate
2.25%
reactions ÷ views · ER floor
Posts in window
172
of 216 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. It is computed over the 4 of 172 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
216 (7 August 2026 – 28 August 2026)
Views total
3,456
Reactions total
2
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 16:46 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
1h 04m
Average length
36s
Measured directly from 108 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
12 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 41.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5
41.7%
😭
3
25.0%
💋
1
8.33%
💔
1
8.33%
😁
1
8.33%
🥰
1
8.33%
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 10 of the 216 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 216 most recent posts we hold, published 7 August 2026 to 28 August 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.
Прохожие в Китае голыми руками подняли автомобиль, чтобы спасти девочку
В китайском Чэнду прохожие и владельцы ближайших магазинов вручную приподняли внедорожник, под которым оказалась 14-летняя девочка.
Она ехала на арендованном электроскутере и отвлеклась на телефон, не заметив автомобиль.
После столкновения школьницу затянуло под машину, а колесо придавило её в районе поясницы. Пострадавшую доставили в больницу…
Новосибирца на сапборде унесло в море в Крыму
Мужчина рассказал, что не учёл силу волн, потерял весло и неуправляемую доску утащило на пять километров от берега. Спасатели заметили сапбордиста по яркому жилету и благополучно вернули на землю.
"Я не девушка. Девушка — это шл*ха"
Московская клиентка пришла в ПВЗ за заказом и устроила скандал менеджеру, когда тот назвал ее девушкой.
Местная жительница потребовала, чтобы к ней обращались по имени, а затем пригрозила, что больше ничего не закажет на маркетплейсе.
В Питере при взрыве автомобиля погиб высокопоставленный военный, его жена ранена, — СМИ.
Предварительно, в машине на Колпинском шоссе сработало самодельное взрывное устройство. Мужчина погиб на месте, женщину госпитализировали
В Подмосковье вдове бывшего вице-премьера Дагестана перерезали горло: убийцей оказался друг ее 17-летнего сына
43-летнюю Анну Каменеву нашли мертвой в доме. Рядом с ней нашли травматический пистолет и гильзы. В комнате были также следы крови и испачканное полотенце. Правоохранители задержали юношу, который был знаком с сыном погибшей.
Каменева работала доцентом МГУ на кафедре экономических и финансовых расследовани…
▫️ ЗВЕЗДЫ ДЛЯ ГЕРОЕВ
Министр обороны вручил медали «Золотая Звезда» и именное оружие российским военнослужащим, удостоенным высшего звания России «Герой Российской Федерации» за мужество и героизм при выполнении задач специальной военной операции.
В числе награждённых — генерал-майор Антон Грунис и генерал-майор Александр Картавкин, под их командованием наши бойцы освобождали Константиновку.
Также, высшей государс…
Завязывай носить базовые тряпки, в которых ходит весь город.
Собрали в одном месте весь свежий стритвир и кэжуал, за которым обычно охотятся неделями.
Тот самый шмот, в котором не стыдно залететь на тусовку или выйти в центр: от оверсайз флисок до редких сниккеров.
Подписчикам канала даем доступ к закрытому каталогу с лимитированными позициями. Показываем вещи под лампой, меряем на себе и честно говорим про посадк…
В центре Санкт-Петербурга голый толстяк устроил переполох
Он бегал по улицам и успел ударить женщину, разнести стекло в автобусе и поколотить автомобили.
Экстренные службы скрутили его и увезли на допрос.
Стоматолог 15 лет назад засунул жительнице Москвы кусок зуба в голову и она нашла его на КТ.
В подростковом возрасте девушке удаляли верхнюю «семёрку». Во время процедуры она услышала щелчок, а врач сообщил, что повредил стенку гайморовой пазухи.
Через 15 лет КТ показала, что кусок зуба всё это время находился внутри пазухи и частично врос в ткани. Там же нашли и пломбу, которая, предположительно, тоже попала туда …
▪️Этот шаг был «ложным стартом», который может сжечь политический капитал Федорова, – The Guardian
▪️Призыв Федорова, похоже, оказал неожиданный для него эффект: он просчитался, – Reuters;
▪️Призыв бывшего министра Украины к выборам – это «именно то, чего хочет Путин», – The Times
▶️Одним словом - выборы - это конец демократии.
Оруэлл нервно курит в сторонке;
В Пензенской области мигранту закрыли въезд в россию на 100 лет. — ФСБ
В ходе оперативно-розыскных мероприятий сотрудники ведомства установили, что иностранец разделяет радикальные националистические взгляды. Мужчина активно занимался распространением идеологии превосходства выходцев из государств Закавказья над коренным населением России, а также публично продвигал идеи о необходимости притеснения граждан страны.
…
Showing the 12 most recent of 216 posts we hold for @VZRIVVIIII. 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.
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.
Handles this channel named that no longer answer
Dead references
3
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
2
vacant every time we have ever looked
@VZRIVVIIII named 3 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.
@colbabet_bot named in 1 post, 21 August 2026 – 21 August 2026 · confirmed gone 27 August 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.
@greenvpn named in 4 posts, 8 August 2026 – 9 August 2026
@beardirectorbot named in 1 post, 9 August 2026 – 9 August 2026
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 7 September 2026 — this
entry's latest reading, not the date you are reading this.
“КИЕВ ХАРЬКОВ ОДЕССА ВЗРЫВЫ” (@VZRIVVIIII), 8,538 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/VZRIVVIIII.
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.