International 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 57% 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 12 other registered channels. This entry also sits inside a group of 3 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 (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. 22 of the 22 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 1,976 comparable posts for this entry, running 5 August 2026 to 13 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 3 channels, the one whose matching posts we hold earliest is @bankoffo — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_mutual · clone_source, last confirmed 14 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 3 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.
67 measurements spanning 98 days, net -8,357. 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 198,104–208,969 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 67
Measured (UTC)
Subscribers
Change
12 Nov 2026, 00:56
199,358
-124
10 Nov 2026, 05:19
199,482
-100
8 Nov 2026, 21:09
199,582
-115
7 Nov 2026, 12:40
199,697
-95
6 Nov 2026, 13:16
199,792
-88
5 Nov 2026, 12:07
199,880
-73
4 Nov 2026, 11:06
199,953
-81
3 Nov 2026, 07:30
200,034
-63
2 Nov 2026, 10:06
200,097
-86
1 Nov 2026, 09:47
200,183
-46
31 Oct 2026, 12:09
200,229
-96
30 Oct 2026, 12:49
200,325
-38
29 Oct 2026, 12:59
200,363
-156
28 Oct 2026, 13:25
200,519
-87
27 Oct 2026, 12:56
200,606
-79
26 Oct 2026, 15:40
200,685
-102
25 Oct 2026, 12:08
200,787
-51
24 Oct 2026, 13:40
200,838
-64
23 Oct 2026, 11:18
200,902
-71
22 Oct 2026, 09:35
200,973
first reading
Engagement
2,772 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 204 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.14%
avg views ÷ 199,358 subscribers
Avg views / post
16,200
930 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
930
of 2,772 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
2,772 (5 August 2026 – 13 November 2026)
Views total
15,082,804
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 02:37 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
≈18,300
Videos
≈7,370
Links
≈4,940
Lifetime counters from Telegram’s own channel header, read 14 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
1h 48m
Average length
30s
Measured directly from 221 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.
Advertising
Ad load
0.3%
3 of 1,000 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
17,100
over 3 measured posts
Median views · rest
16,800
over 997 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VfnxxQZ8gc
1
13 October 2026
13 October 2026
2VtzqvL4uSe
1
10 November 2026
10 November 2026
2W5zFGgTg3s
1
15 October 2026
15 October 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 13 October 2026 to 13 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 168 of 930 posts held from the last 30 days (18.1%) 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).
ИИ уничтожил всю авиацию в США. Всего за три дня до коллапса во все центры управления полётами внедрили нейросеть, которая собирает более 200 потоков данных — маршруты, трафик, погоду, загрузку диспетчеров и многое другое — и прогнозирует ситуацию в небе. Теперь вся авиация в США встала. @bankoffo
Авиаколлапс в США вызван ИИ? — журналист.
Мы здесь называем это СИ, или Супер Интеллект, помните? — глава Министерства внутренней безопасности США:
@bankoffo
В США авиационный коллапс. По всей стране задержаны больше 8 тысяч рейсов, ещё 1300 рейсов отменены. Сейчас в воздухе находится больше 3000 пассажирских самолётов, некоторые подают сигналы бедствия — СМИ. @bankoffo
Россия требует от НАТО вывести войска и базы из Польши и стран Балтии, следует из документа, который Москва раздала участникам переговоров в Абу-Даби, сообщает NYT. В бумаге от 10 ноября почти дословно повторяются требования декабря 2021 года: вернуть альянс к границам 1997 года, отказаться от расширения и любой военной активности в Украине, Восточной Европе, Закавказье и Центральной Азии. Россия также хочет прекраще…
Nvidia оказалась под угрозой краха после увольнения Хуанга. Под вопросом теперь вся схема, на которой компания строила ИИ-бум. Она давала миллиардные кредитные гарантии ИИ-стартапам, те на эти деньги строили дата-центры и покупали чипы у самой Nvidia, а если мощности не находили спроса, Nvidia обещала их выкупить, пишет WSJ. В одной сделке компания выступала инвестором, кредитором, поставщиком и резервным покупателем…
Все аэропорты США остановили вылеты из-за чрезвычайной ситуации. FAA запретило самолётам взлетать до дальнейшего уведомления. Международные рейсы будут принимать индивидуально. Причины решения пока неизвестны. @bankoffo
В Париже грабители вынесли ювелирный магазин на €1 млн в самом центре города. Прохожие даже не стали обращать внимания на людей с автоматами Калашникова. @bankoffo
Любовь лечит людей, подтвердили учёные. Рядом с близкими у людей реже повышается уровень сахара, тело не мёрзнет, а нервная система спокойнее реагирует даже на разряды тока. Всё потому, что партнёр берёт на себя часть нагрузки, объясняют эксперты. @bankoffo
Украинский нардеп Кучеренко показал свой член во время прямого эфира на ТВ. @bankoffo
Showing the 12 most recent of 2,772 posts we hold for @bankoffo. 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.
Posts edited after publishing
@bankoffo edited 17 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
13 August 2026
Most recent edit
25 October 2026
Posts recorded as deleted after publishing
We recorded 1 post on @bankoffo as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
13 August 2026
Most recent seen missing
13 August 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
0
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 82 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 157 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 11 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.
Банки, деньги, два офшора @bankrollo · 462,780 Telegram ranks this channel #4 of 95 here — alongside 94 others — read 10 August 2026
💖 Накамура 💖 @finlock · 4 Telegram ranks this channel #5 of 87 here — alongside 86 others — read 18 September 2026
Рублядоллар @roubledollar · 25,808 Telegram ranks this channel #5 of 94 here — alongside 93 others — read 13 September 2026
Канал Бромберга @unclebromberg · 22,798 Telegram ranks this channel #6 of 95 here — alongside 94 others — read 19 September 2026
Баррель черной икры @banki_oil · 543,702 Telegram ranks this channel #7 of 91 here — alongside 90 others — read 9 August 2026
SatoshiBitkoinov channel @satoshibitkoinov · 58,048 Telegram ranks this channel #8 of 89 here — alongside 88 others — read 22 August 2026
investify! Финансы @ifinvest · 109,597 Telegram ranks this channel #8 of 96 here — alongside 95 others — read 14 August 2026
.cult @dotcult · 26,397 Telegram ranks this channel #9 of 70 here — alongside 69 others — read 10 September 2026
Деньги в банке @bankser · 127,522 Telegram ranks this channel #9 of 94 here — alongside 93 others — read 13 August 2026
Около | ЦБ @okoloCB · 51,835 Telegram ranks this channel #10 of 95 here — alongside 94 others — read 24 August 2026
Bankiros.ru 📣 @bankirosru · 55,068 Telegram ranks this channel #10 of 87 here — alongside 86 others — read 23 August 2026
Инвест ревью | Финансы @investorbiz · 123,943 Telegram ranks this channel #10 of 95 here — alongside 94 others — read 13 August 2026
Банкста @banksta · 439,852 Telegram ranks this channel #10 of 93 here — alongside 92 others — read 10 August 2026
БанкБлог @bank_blog · 20,736 Telegram ranks this channel #13 of 89 here — alongside 88 others — read 1 October 2026
ФинТех|Обмен валют @FinTechExchange1 · 26,318 Telegram ranks this channel #15 of 32 here — alongside 31 others — read 17 September 2026
Рофлы с Волк Стрит @roflpuls · 42,809 Telegram ranks this channel #19 of 87 here — alongside 86 others — read 29 August 2026
Русский Уолл-стрит @streetwall · 318,973 Telegram ranks this channel #21 of 85 here — alongside 84 others — read 8 September 2026
Мигратор | Travel Blog @migrator_travel · 18,850 Telegram ranks this channel #22 of 65 here — alongside 64 others — read 3 October 2026
MarketOverview @MarketOverview · 46,365 Telegram ranks this channel #24 of 93 here — alongside 92 others — read 27 August 2026
Переезд | Релокация @pereezd_relocation · 65,013 Telegram ranks this channel #25 of 95 here — alongside 94 others — read 21 August 2026
Кабинет инвестора @investingcorp · 425,003 Telegram ranks this channel #25 of 93 here — alongside 92 others — read 10 August 2026
Экономист @economistg · 166,977 Telegram ranks this channel #29 of 93 here — alongside 92 others — read 12 August 2026
Русский ритейл и бизнес @retailrus · 281,103 Telegram ranks this channel #32 of 91 here — alongside 90 others — read 10 August 2026
Дайджест @blogbankir · 80,255 Telegram ranks this channel #34 of 77 here — alongside 76 others — read 28 September 2026
This channel appears in 58 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“Банкофф - Финансы” (@bankoffo), 199,358 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/bankoffo.
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.