National news — a classification, not a measurement. An on-box language model (qwen3.6:35b-a3b, prompt version 1) read this channel’s own recent posts on 17 October 2026 and assigned it the closest of 31 fixed categories, at 88% 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.
Views per post sit far above this size band
41,400 average views per post against 33,005 subscribers — an engagement rate of 125.4%. Across the 580 registered channels in the same cohort — 31,647–99,330 subscribers, posting mainly in Ukrainian — the middle half sit between 10.5% and 26.2%, with a median of 17.3%.
What this was computed from
Window
30 days (1 October 2026 – 31 October 2026)
Posts measured
30 of 31 published in the window (0 exact, 30 rounded by Telegram)
Views totalled
1,241,200
Mature posts only
125.4% over 30 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above 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 key err_high, last confirmed 31 October 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
14 measurements spanning 13 days, net +10,051. 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 21,443–34,537 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
29 Oct 2026, 22:29
33,005
-1
29 Oct 2026, 00:57
33,006
-1
27 Oct 2026, 22:45
33,007
-2
26 Oct 2026, 20:56
33,009
-5
25 Oct 2026, 21:16
33,014
-2
24 Oct 2026, 22:48
33,016
-3
23 Oct 2026, 21:25
33,019
-5
23 Oct 2026, 00:29
33,024
-2
22 Oct 2026, 01:56
33,026
+30
20 Oct 2026, 19:29
32,996
-1
19 Oct 2026, 19:18
32,997
-2
18 Oct 2026, 21:31
32,999
+2
17 Oct 2026, 20:49
32,997
+10,043
17 Oct 2026, 01:22
22,954
first reading
Engagement
31 posts held, back to 13 October 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 27 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
125.4%
avg views ÷ 33,005 subscribers
Avg views / post
41,400
30 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
31
of 31 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 21 October 2026
Posts held
31 (13 October 2026 – 21 October 2026)
Views total
1,241,200
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
31 Oct 2026, 06:21 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
7
Links
3
Lifetime counters from Telegram’s own channel header, read 31 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Сподіваюсь, що НАБУ зацікавиться не лише контролем з боку Пишного Сенс банку та схемам грального бізнесу, але й розбереться з історією збагачення комерційних банків через депозитні сертифікати НБУ.
Нагадаю про історію, як по цій схемі з бюджету вимиваєть 300 мільярдів.
https://t.me/plinskiymedia/7696
Директорка департаменту ліцензування НБУ Софіна звільнилася за 48 годин до обшуків і виїхала з України — UA.News
Дар’я Софіна залишила Нацбанк за дві доби до обшуків НАБУ та САП 21 жовтня, повідомляє з посиланням на джерела видання UA.News
Сергея Николайчука на посту первого заместителя главы НБУ заменит Дмитрий Олейник.
Олейника готовят к назначению исполняющим обязанности главы Нацбанка.
Именно первый заместитель главы НБУ может выполнять обязанности главы регулятора.
Давид Арахамия активно продвигает сценарий увольнения Андрея Пышного с должности главы НБУ и назначения исполняющим обязанности Дмитрия Олейника.
По нашей информации, ключевой причиной стали проблемы с внесением залогов через банковскую систему. История с блокировками платежей создала для Пышного политические риски.
Арахамия заинтересован в том, чтобы убрать Пышного и поставить на его место человека, которому он до…
В нашем распоряжении оказался закрытый список вопросов для полиграфа, на который с 1 ноября Андрей Пышный намерен отправить до 80% сотрудников НБУ.
1. Передавали ли вы третьим лицам информацию о готовящихся проверках НБУ?
2. Предупреждали ли вы клиентов о возможной блокировке счетов или применении санкций?
3. Передавали ли вы конфиденциальную банковскую информацию лицам, не имеющим права доступа к ней?
4. Оказыва…
В НБУ готовят проверку сотрудников на полиграфе. Помимо вопросов об утечках служебной информации, предупреждении клиентов о проверках и обходе финансового мониторинга, в перечень могут войти личные вопросы об отношении сотрудников к Андрею Пышному. Эту инициативу предложил Дмитрий Олейник, и глава НБУ поддержал идею. Таким образом, проверка может затронуть не только профессиональную деятельность банковских сотруднико…
Showing the 12 most recent of 31 posts we hold for @mezhbanka. 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
@mezhbanka edited 2 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
21 October 2026
Most recent edit
21 October 2026
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
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.
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 29 October 2026 — this
entry's latest reading, not the date you are reading this.
“Межбанк” (@mezhbanka), 33,005 subscribers as measured 29 October 2026. Telegram Register, tgregister.com/channel/mezhbanka.
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.