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Channel

АНТИКОР РУ

@redovka_5

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

10,513subscribers

+837 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001794404076
TypeChannel
Username@redovka_5
DescriptionЖарим коррупционеров на медленном огне. Факты, схемы, фамилии. Контакты [email protected]
Created29 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held41
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/redovka_5

Topic

Politics & activism — 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 91% 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 1 other registered channel. They sit inside a group of 27 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@guber_ad/1833735 Aug 2026, 07:42 UTC@redovka_5/136741 · this entry5 Aug 2026, 07:42 UTC1.00under a minute
@guber_ad/1833745 Aug 2026, 08:08 UTC@redovka_5/136742 · this entry5 Aug 2026, 08:08 UTC1.00under a minute
@guber_ad/1833755 Aug 2026, 08:41 UTC@redovka_5/136746 · this entry5 Aug 2026, 12:22 UTC1.003.7 hours
@guber_ad/1833916 Aug 2026, 13:36 UTC@redovka_5/136755 · this entry6 Aug 2026, 13:36 UTC1.00under a minute
@redovka_5/136764 · this entry7 Aug 2026, 13:00 UTC@guber_ad/1834027 Aug 2026, 13:00 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@guber_ad5 (5/5 hand-verifiable sample passed)1.00under a minute@guber_ad (4–1)

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. 1 of the 4 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 40 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 27, the earliest publisher we hold is @politeca_ru. That is a statement about our reading window, not a claim of authorship.

Views per post sit far below this size band

33.2 average views per post against 10,581 subscribers — an engagement rate of 0.313%. Across the 21,335 registered channels in the same cohort — 10,000–31,621 subscribers, posting mainly in Russian — the middle half sit between 5.84% and 23.6%, with a median of 12.1%.

What this was computed from
Window30 days (6 October 2026 – 5 November 2026)
Posts measured20 of 20 published in the window (20 exact, 0 rounded by Telegram)
Views totalled663
Mature posts only0.313% over 20 posts read at least 24h after publication
Subscribers10,581 measured 5 November 2026
Cohortb10000:rus · 21,335 channels · p10 2.94% · p25 5.84% · p50 12.1% · p75 23.6% · p90 42.5%
Position in cohort0.506th percentile · 1/38 the cohort median
Uncertainty±0.273% of the figure, from Telegram’s rounding
Post languageRussian · 100.0% of the window’s posts

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_copy · err_low, last confirmed 5 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 26 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.

ВЧК-ОГПУ
@vchkogpu_2 · Channel
171,934 subscribers
Компромат ГРУПП
@kompromat_group · Channel
56,104 subscribers
ПОЛИТКУХНЯ
@politica_kitchen · Channel
27,611 subscribers
Компромат ГРУ
@rus_criminalinfo · Channel
19,029 subscribers
КАК-ТО ВОТ ТАК
@kak_tak55 · Channel
11,352 subscribers
ВОРЫ в ЗАКОНЕ
@ros_pil · Channel
10,535 subscribers
ОГПУ НКВД
@vchc_ogpu_ncvd · Channel
10,487 subscribers
ЛИСА BASILIO 2.0
@LisaBasilio2 · Channel
10,027 subscribers
Губернатор дьявола
@guber_ad · Channel
9,995 subscribers
РУССКАЯ ПРЕССА
@VHCK_RUSPRES · Channel
9,789 subscribers
ПОЛИТЕКА RU
@politeca_ru · Channel
9,677 subscribers
RU MAFIA
@ru_mafia2 · Channel
8,971 subscribers
КОМПРОМАТ 1
@commpromat1 · Channel
8,914 subscribers
Компромат РУ
@kompromat_russia · Channel
8,828 subscribers
Преступная Россия
@crimerussia_com · Channel
8,819 subscribers
Азбука компромата
@acompromat_net · Channel
8,670 subscribers
РУСПРЕС
@ruspres_tg · Channel
8,516 subscribers
АГЕНТУРА
@agentura_ru · Channel
2,737 subscribers
MEDIA LIFE
@dorenko_life · Channel
2,615 subscribers
ДОСЬЕ RU
@dossier_ru · Channel
1,859 subscribers
BRIFF НЕЗЫГАРЬ
@briff_nezigar · Channel
1,831 subscribers
ГУБЕРМОРДА
@guber_morda · Channel
1,079 subscribers
СТРАНА RU
@stranaru · Channel
793 subscribers
Соль Кремля
@sol_cremly · Channel
716 subscribers
REDOVKA
@redovka_ru · Channel
394 subscribers
MARSH
@mash_russ · Channel
267 subscribers

Growth

9,18411,02810,1066 August 2026 — 9,676 subscribers6 August 2026 — 9,676 subscribers8 August 2026 — 9,630 subscribers11 August 2026 — 9,588 subscribers14 August 2026 — 9,536 subscribers17 August 2026 — 9,467 subscribers20 August 2026 — 9,425 subscribers24 August 2026 — 9,367 subscribers28 August 2026 — 9,344 subscribers31 August 2026 — 9,330 subscribers3 September 2026 — 9,315 subscribers8 September 2026 — 9,245 subscribers12 September 2026 — 9,199 subscribers15 September 2026 — 9,184 subscribers27 September 2026 — 11,028 subscribers4 October 2026 — 10,952 subscribers9 October 2026 — 10,916 subscribers13 October 2026 — 10,907 subscribers14 October 2026 — 10,906 subscribers15 October 2026 — 10,907 subscribers16 October 2026 — 10,905 subscribers17 October 2026 — 10,899 subscribers18 October 2026 — 10,895 subscribers20 October 2026 — 10,894 subscribers20 October 2026 — 10,888 subscribers22 October 2026 — 10,883 subscribers23 October 2026 — 10,874 subscribers24 October 2026 — 10,867 subscribers25 October 2026 — 10,866 subscribers27 October 2026 — 10,858 subscribers28 October 2026 — 10,845 subscribers29 October 2026 — 10,831 subscribers30 October 2026 — 10,807 subscribers31 October 2026 — 10,785 subscribers1 November 2026 — 10,750 subscribers2 November 2026 — 10,713 subscribers2 November 2026 — 10,669 subscribers3 November 2026 — 10,615 subscribers5 November 2026 — 10,581 subscribers5 November 2026 — 10,543 subscribers6 November 2026 — 10,513 subscribers10,5136 August 20266 November 2026
41 measurements spanning 93 days, net +837. 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 8,907–11,305 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 41
Measured (UTC)SubscribersChange
6 Nov 2026, 20:4910,513-30
5 Nov 2026, 23:5810,543-38
5 Nov 2026, 00:1610,581-34
3 Nov 2026, 22:0710,615-54
2 Nov 2026, 22:2910,669-44
2 Nov 2026, 01:4110,713-37
1 Nov 2026, 00:2810,750-35
31 Oct 2026, 00:1910,785-22
30 Oct 2026, 02:3710,807-24
29 Oct 2026, 03:0910,831-14
28 Oct 2026, 04:0610,845-13
27 Oct 2026, 04:5010,858-8
25 Oct 2026, 02:3010,866-1
24 Oct 2026, 02:2710,867-7
23 Oct 2026, 00:2710,874-9
22 Oct 2026, 01:3810,883-5
20 Oct 2026, 22:3510,888-6
20 Oct 2026, 00:4110,894-1
18 Oct 2026, 22:3610,895-4
17 Oct 2026, 20:2010,899first reading

Engagement

264 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 42 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.324%
avg views ÷ 10,513 subscribers
Avg views / post
34.1
20 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
20
of 264 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
WindowRolling 30 days · latest post in window 30 October 2026
Posts held264 (4 August 2026 – 30 October 2026)
Views total682
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 20:54 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
≈490
Videos
≈163
Links
≈128,000

Lifetime counters from Telegram’s own channel header, read 6 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 20 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).

30 Oct 2026, 14:52 UTC56 viewsread 6 November 2026

Как чиновники Дагестана и мафия «липовых опекунов» осваивают миллиарды казны Реестр детей-сирот в Дагестане превратился в доходный криминальный бизнес, а муниципальные чиновники и главы районов демонстрируют феноменальную слепоту, когда речь заходит о миллиардных расхищениях. Сплошная верификация списка очередников на жилье, инициированная премьер-министром РД Магомедом Рамазановым и проводимая Министерством труда Р…

30 Oct 2026, 14:26 UTC43 viewsread 6 November 2026

Олигархический щит и миллиарды из пенсионных фондов: как окружение Евтушенкова и Грефа спасает Евгения Новицкого от статьи за ОПС Вокруг фигуры экс-президента АФК «Система» и бывшего заместителя генерального директора «Фосагро» Евгения Новицкого разворачивается масштабная подковерная война на самом высоком государственном уровне. Человек, входящий в близкий круг половины российских олигархов и ключевых членов правит…

30 Oct 2026, 12:24 UTC31 viewsread 6 November 2026

Схема Свиридовых пересобралась в банкротствах: как экс-«теневой губернатор» и его окружение сохраняют влияние над активами Приговор бывшему тамбовскому чиновнику Евгению Свиридову, известному как «теневой губернатор» Липецкой области, и конфискация имущества на 750 млн рублей создали лишь видимость полного разгрома его бизнес-империи. Формально государство провело масштабную чистку и консолидировало ключевые структ…

30 Oct 2026, 11:01 UTC26 viewsread 6 November 2026

Миллиардный «Реванш» Леонида Бондаренко: как структуры бенефициара «Питеравто» осваивают бюджеты пассажирских перевозок За кулисами пассажирских перевозок России разворачивается масштабная финансовая драма с участием питерского миллиардера. Леонид Георгиевич Бондаренко, 56-летний участник «Рейтинга миллиардеров ДП - 2024», замыкает на себе целую сеть из более чем 30 организаций, через которые проходят миллиардные по…

30 Oct 2026, 09:53 UTC30 viewsread 6 November 2026

Уголовный тупик Шувалова: как в ВЭБ.РФ спустили миллиарды на «лесной» ЗПИФ и ждут силовиков Паника на Воздвиженке нарастает: в штаб-квартире ВЭБ.РФ дорогостоящие клерки буквально замерли в ожидании силовиков. Счётная палата и Генпрокуратура вскрыли масштабную «лесную аферу» подчинённых Игоря Шувалова, где нецелевые траты бюджетных средств уже превысили 100 миллиардов рублей. Схема, запущенная в 2024 году под предло…

30 Oct 2026, 09:03 UTC25 viewsread 6 November 2026

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30 Oct 2026, 07:47 UTC28 viewsread 6 November 2026

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30 Oct 2026, 07:15 UTC31 viewsread 6 November 2026

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29 Oct 2026, 13:39 UTC32 viewsread 6 November 2026

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29 Oct 2026, 12:24 UTC29 viewsread 6 November 2026

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29 Oct 2026, 11:08 UTC27 viewsread 6 November 2026

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Showing the 12 most recent of 264 posts we hold for @redovka_5. 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

@redovka_5 edited 1 post 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
25 August 2026

Forward network

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 11 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.

Names

Channels on the register whose handles appear in this channel's posts.

MEDIA LIFE
@dorenko_life · 2,615
65 posts
Компромат ГРУПП
@kompromat_group · 56,104
2 posts
ВЧК-ОГПУ
@rucriminalinfo_2 · 207,807
2 posts
Штефан знает!
@shtefanksenia · 25,737
2 posts
Что стоит за цифрами в отчетах
@chto_stoit_za_thyframi_v_otch · 6
1 post
Деньги и их влияние на общество
@denjgi_i_ixh_vlijanie_na_obshh · 3
1 post
Дерибан по-крупному: активы уходят в ночь
@deriban_po_crupn_activy_uxhod · 7
1 post
Дерибан средств на экологию и природоохрану
@deriban_sredstv_na_ehkologiju · 2
1 post
Договорняки при распределении квот и лицензий
@dogovornjak_pri_raspredel_quot · 3
1 post
Госконтракт пахнет духами заказчика
@goskontrakt_pakhn_dukh_zakazch · 5
1 post
Государственное регулирование бизнеса
@gosudarstvennoe_regulirovanie · 4
1 post
Интрига на миллиард: кто получит госконтракт
@intriga_mlrd_poluch_contract · 3
1 post
Инвестиции для начинающих и не только
@investithyi_dlja_nachinajushh · 3
1 post
Как читать финансовую отчетность
@kak_chitat_finansov_otchetnost · 8
1 post
Откат как искусство большой политики
@otkat_iskusstvo_bolsh_politiki · 8
1 post
Откаты любят тишину и дорогие часы
@otkaty_ljubjat_tishynu_i_chasy · 5
1 post
Распил бюджета: искусство не оставлять следов
@raspil_bjudzhet_iskus_bez_sled · 3
1 post
Распил под видом цифровизации
@raspil_pod_vidom_thifrovizats · 4
1 post
Распил века: как делили то, что не их
@raspil_veka_kak_delili_ne_ixh · 6
1 post
Скандалы — это аудит без предупреждения
@skandaly_audit_bez_preduprezhd · 4
1 post
СОЛДАТСКАЯ ПРАВДА
@soldat_prav · 56,213
1 post
Сыны Монархии/Роман Антоновский
@SonOfMonarchy · 87,790
1 post
ОГПУ НКВД
@vchc_ogpu_ncvd · 10,487
1 post
ВЧК-ОГПУ 2,0
@vchk_ogpu_2_0 · 11
1 post

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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“АНТИКОР РУ” (@redovka_5), 10,513 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/redovka_5.

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.