National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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 8 other registered channels. This entry also forms a group of 2 channels linked by matching posts. 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. 32 of the 33 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 603 comparable posts for this entry, running 3 August 2026 to 10 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 2 channels, the one whose matching posts we hold earliest is @VitaliyShabunin. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 11 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 2 registered channels linked by matching posts. 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.
61 measurements spanning 97 days, net +3,614. 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 22,757–27,455 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
10 Nov 2026, 14:34
26,913
+97
9 Nov 2026, 01:31
26,816
+29
7 Nov 2026, 16:00
26,787
+113
6 Nov 2026, 14:26
26,674
+236
5 Nov 2026, 11:31
26,438
+302
4 Nov 2026, 08:35
26,136
+52
3 Nov 2026, 05:19
26,084
+55
2 Nov 2026, 07:46
26,029
+3
1 Nov 2026, 10:39
26,026
+12
31 Oct 2026, 09:08
26,014
+18
30 Oct 2026, 09:16
25,996
-27
29 Oct 2026, 09:55
26,023
+2
28 Oct 2026, 06:35
26,021
+28
27 Oct 2026, 06:59
25,993
+5
26 Oct 2026, 03:57
25,988
+16
25 Oct 2026, 02:17
25,972
+18
24 Oct 2026, 01:51
25,954
+34
23 Oct 2026, 04:57
25,920
-15
22 Oct 2026, 06:08
25,935
+8
21 Oct 2026, 02:57
25,927
first reading
Engagement
658 posts held, back to 3 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 143 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.6%
avg views ÷ 26,913 subscribers
Avg views / post
5,560
262 posts measured
Reaction rate
3.05%
reactions ÷ views · ER floor
Posts in window
263
of 658 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 11 November 2026
Posts held
658 (3 August 2026 – 11 November 2026)
Views total
1,455,820
Reactions total
44,363
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 07:49 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
≈1,320
Videos
≈278
Links
≈5,310
Lifetime counters from Telegram’s own channel header, read 11 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 10m
Average length
1m 34s
Measured directly from 45 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
109,909 reactions across 645 posts, in 24 distinct kinds. The most used accounts for 33.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤯
37,122
33.8%
👍
22,497
20.5%
😁
12,606
11.5%
💯
10,879
9.90%
❤
9,820
8.93%
🔥
8,187
7.45%
🤔
1,979
1.80%
😱
1,555
1.41%
👏
1,260
1.15%
😐
939
0.854%
🤷♂
928
0.844%
😢
790
0.719%
💔
392
0.357%
🙏
217
0.197%
✍
144
0.131%
👀
138
0.126%
👌
129
0.117%
🥰
112
0.102%
🎉
56
0.051%
🤩
48
0.044%
4 further kinds
111
0.101%
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 657 of the 658 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 112,360 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 658 most recent posts we hold, published 3 August 2026 to 11 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: 93 of 263 posts held from the last 30 days (35.4%) 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).
ВАКС ухвалив вирок у справі щодо розтрати понад 250 млн грн, призначених на закупівлю балістичних жилетів
Вищий антикорупційний суд визнав виними ексгенерального директора ДП «Український інститут інтелектуальної власності» («Укрпатент») Андрія Кудіна, в.о. держсекретаря Мінекономіки Олесю Савчук та ексголову правління БО «Подих милосердя» Андрія Чорного у розтраті понад 250 млн гривень, які призначалися на закупі…
Чи справді Поклад звільнив Дуку і Кравчука? Дуже сумніваюся.
Згадайте корупційного генерала Вітюка. У 2024-му Малюк його теж «звільнив». З ПОСАДИ. Не з СБУ.
І одразу дали нову – офіцер з особливих доручень. Генеральське звання, зарплата, доступ, ресурси СБУ – усе на місці.
Нагадаю, що НАБУ/САП вже направили до суду справу Вітюка про незаконне збагачення. А він досі – ТОП-СБУшник.
А тепер трішки про те, як тилове …
😵💫🫵✍️🤘🥶Як наркокартель роками міг діяти під прикриттям українських правоохоронців? Чи знав Зеленський про корупцію в силових структурах і чому досі немає їхнього перезавантаження?
Сьогодні на "Шелтері" – журналіст і блогер Данило Мокрик та виконавча директорка Центру протидії корупції Дар’я Каленюк.
⚠️З ними також говоримо про:
🟣операцію "Карфаген" і зв’язки наркокартелю "Хімпром" із правоохоронцями;
🔵роль СБУ, Н…
Генерал СБУ Сергій Дука написав відкритого листа з СІЗО.
Пише, що 26 років свого життя я присвятив службі Україні, останні пʼять - боротьбі з російським агресором.
Цікаво, а співпраця з наркокартелем з росіянином на чолі, як показала операція НАБУ і САП, це теж служба Україні?
«Я вимагаю, щоб мої дії оцінювали за доказами, а не за ефектними відео, гучними заголовками чи вирваними з контексту розмовами», - пише Д…
❗️ ЗАСЕКРЕЧЕНІ "ПЛІВКИ" ЩЕ СТРАШНІШІ! СБУ відмиває "общак"?! НАБУ тут БЕЗСИЛЕ?! | Є ПИТАННЯ/НІКОЛОВ
💬 Поки ми записували це інтерв'ю, за генерала СБУ Сергія Дуку, фігуранта розслідування НАБУ "Карфаген", у турбо-режимі зібрали вже більшу частину застави – шалені 44 мільйони гривень. За даними САП, кошти надійшли від понад тисячі платників: хтось вносив 10-20 тисяч, а хтось – 100-150 тисяч. Усе це відбувалося на тлі …
Рік після операції Мідас. Чи очистився Енергоатом і хто успадкував роль Міндіча
Рівно рік тому, 10 листопада 2025 року, детективи НАБУ та прокурори САП провели гучну операцію «Мідас». Антикорупційні органи прийшли з обшуками до людей, які роками вважали себе недоторканними.
Минув рік. Чи став Мідас (або Міндічгейт) визначальним моментом у боротьбі з корупцією і які неочікувані наслідки справа вже має на практиці, -…
❗️❗️❗️❗️ За колишнього посадовця СБУ Сергія Дуку, фігуранта справи «Карфаген», внесли 44 млн гривень застави. Кошти надійшли від 1113 платників, повідомив Радіо Свобода прокурор САП Микола Карась.
«Там різні суми: хтось 10–20 тисяч, хтось 100–150», – зазначив прокурор.
Хто саме входить до 1113 платників, Радіо Свобода незалежно підтвердити не може.
ℹ️ВАКС визначив Дуці заставу в 65 млн гривень. Тож для виходу з-пі…
“Я помилився”: нардеп Сергій Лабазюк виступив з останнім словом у суді
Вищий антикорупційний суд заслухав останнє слово народного депутата від «За Майбутнє» Сергія Лабазюка.
Коментуючи обставини справи НАБУ, він пояснив, що звертався до тодішнього віцепрем’єра Олександра Кубракова і голови Держвідновлення Мустафи Найєма, оскільки "хотів зберегти своє підприємство".
«Сьогодні я з повною відповідальністю можу конс…
Майже чверть мільярда збитків, а покарання ніхто не понесе: як саботаж з боку депутатів Зеленського рятує обвинувачених у справах НАБУ
Апеляційна палата ВАКС залишила без задоволення скаргу прокурора САП, який намагався скасувати рішення суду першої інстанції про закриття справи щодо Юрія Перцева (на фото) через закінчення строків давності.
Перцев — фігурант справи Об’єднаної гірничо-хімічної компанії (ОГХК) про зб…
НАЗК не перевірило криптоактиви директора оборонного заводу, хоча має інструменти та успішні кейси викриття
Ми у ЦПК звернулись до Нацагентства з питань запобігання корупції (НАЗК) з проханням перевірити декларацію директора одного оборонного заводу. І окремо акцентували на перевірці криптовалюти.
👉 Йдеться про Дмитра Вашневського, в. о. генерального директора сумнозвісного "Павлоградського хімзаводу". У 2025 році …
Замість штрафу - 4,5 роки тюрми: Апеляція ВАКС ухвалила новий вирок адвокату з Івано-Франківщини
Апеляційна палата ВАКС задовольнила апеляційні скарги сторін та ухвалила новий вирок адвокату Руслану Фединяку, скасувавши вирок, яким йому присудили штраф.
Апеляція визнала Фединяка винним у зловживанні впливом та шахрайстві, призначивши покарання у вигляді позбавлення волі на 4,5 роки зі штрафом у 51 тисячу грн і ко…
Справа генерала СБУ Вітюка: суд відмовив у поверненні обвинувального акту, а інформації про справу досі немає на офіційному порталі
Вищий антикорупційний суд продовжує підготовче засідання у справі генерала СБУ Іллі Вітюка.
Суд розглянув клопотання двох захисників про повернення обвинувального акту. Крім того, один із адвокатів просив надати стороні захисту додатковий час для ознайомлення з матеріалами справи.
С…
😱100🔥21❤5😁4🤝1
Showing the 12 most recent of 658 posts we hold for @fuckcorruption. 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
@fuckcorruption edited 4 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
25 August 2026
Most recent edit
27 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
Named by 51 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.
Mortis Æterna / Департамент пасивних заходів @mortisaeterna · 19,281#84
Read from Telegram’s recommendation API, most recently 14 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.
НАБУ @nab_ukraine · 50,917 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 29 August 2026
НАЗК @NAZK_gov_ua · 24,507 Telegram ranks this channel #10 of 87 here — alongside 86 others — read 15 September 2026
Середич.info @seredych · 33,278 Telegram ranks this channel #48 of 86 here — alongside 85 others — read 6 September 2026
Є ПИТАННЯ @e_p_2026 · 26,391 Telegram ranks this channel #70 of 82 here — alongside 81 others — read 12 September 2026
ВИЙ.Ukraine @viyukraine · 21,942 Telegram ranks this channel #78 of 86 here — alongside 85 others — read 22 September 2026
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Referenced elsewhere
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
7 Wikipedia articles name this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Ізовітова Лідія Павлівна(uk.wikipedia.org) “…Конкурсної комісії з відбору керівництва САП.{{Cite web |url=https://t.me/fuckcorruption/5467 |title=Центр протидії корупції_ |website=Telegram…” read 13 September 2026
Гайдук Віталій Анатолійович(uk.wikipedia.org) “…де фігурують компанії, пов'язані з Гайдуком{{Cite web |url=https://t.me/fuckcorruption/5659 |title=Центр протидії корупції_ |website=Telegram…” read 1 November 2026
Гунько Анатолій Григорович(uk.wikipedia.org) “…законної сили Гунько буде зобов'язаний носити електронний браслет[https://t.me/fuckcorruption/3666 Повідомлення Центру протидії корупції від 25.03…” read 1 November 2026
Павлущик Віктор Володимирович(uk.wikipedia.org) “…Віктора Павлущика обрано Головою НАЗК. Він отримав підтримку всіх [https://t.me/fuckcorruption/2815 6 членів комісії]: як міжнародників, так і урядової квоти…” read 1 November 2026
Саввіді Іван Гнатович(uk.wikipedia.org) “…Івану Саввіді та його дружині, в тому числі{{Cite web |url=https://t.me/fuckcorruption/2786 |title=ВАКС конфіскував активи грецько-російського олігарха…” read 1 November 2026
Тимошенко Юлія Володимирівна(uk.wikipedia.org) “…від спілкування із 65 народними депутатами.{{Cite web |url=https://t.me/fuckcorruption/5209 |title=Центр протидії корупції_ |website=Telegram…” read 1 November 2026
Цокур Віталій Володимирович(uk.wikipedia.org) “…громадській організації «[[Центр протидії корупції]]» (ЦПК)[https://t.me/fuckcorruption/6076 Центр протидії корупції].
Після завершення роботи…” read 1 November 2026
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