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Channel

АНТИКОР РУ

@redovka_5

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

9,184subscribers

-492 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001794404076
TypeChannel
Username@redovka_5
Created29 March 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live15 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 15 September 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 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 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 (41)

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.

Recorded under the key clone_copy, last confirmed 7 August 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
179,499 subscribers
Компромат ГРУПП
@kompromat_group · Channel
53,021 subscribers
Компромат ГРУ
@rus_criminalinfo · Channel
26,234 subscribers
ПОЛИТКУХНЯ
@politica_kitchen · Channel
18,133 subscribers
RU MAFIA
@ru_mafia2 · Channel
15,888 subscribers
КОМПРОМАТ 1
@commpromat1 · Channel
15,766 subscribers
Преступная Россия
@crimerussia_com · Channel
15,433 subscribers
Компромат РУ
@kompromat_russia · Channel
15,420 subscribers
Азбука компромата
@acompromat_net · Channel
15,299 subscribers
РУСПРЕС
@ruspres_tg · Channel
15,156 subscribers
КАК-ТО ВОТ ТАК
@kak_tak55 · Channel
11,919 subscribers
ЛИСА BASILIO 2.0
@LisaBasilio2 · Channel
10,514 subscribers
Губернатор дьявола
@guber_ad · Channel
10,476 subscribers
РУССКАЯ ПРЕССА
@VHCK_RUSPRES · Channel
10,315 subscribers
ВОРЫ в ЗАКОНЕ
@ros_pil · Channel
9,056 subscribers
ОГПУ НКВД
@vchc_ogpu_ncvd · Channel
9,021 subscribers
ПОЛИТЕКА RU
@politeca_ru · Channel
8,128 subscribers
АГЕНТУРА
@agentura_ru · Channel
2,872 subscribers
MEDIA LIFE
@dorenko_life · Channel
2,611 subscribers
BRIFF НЕЗЫГАРЬ
@briff_nezigar · Channel
1,901 subscribers
ДОСЬЕ RU
@dossier_ru · Channel
1,871 subscribers
ГУБЕРМОРДА
@guber_morda · Channel
1,018 subscribers
СТРАНА RU
@stranaru · Channel
882 subscribers
Соль Кремля
@sol_cremly · Channel
630 subscribers
REDOVKA
@redovka_ru · Channel
407 subscribers
MARSH
@mash_russ · Channel
272 subscribers

Growth

9,1849,6769,4306 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 subscribers6 August 202615 September 2026
14 measurements spanning 41 days, net -492. 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 9,110–9,750 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 20:159,184-15
12 Sept 2026, 10:189,199-46
8 Sept 2026, 10:019,245-70
3 Sept 2026, 12:359,315-15
31 Aug 2026, 11:259,330-14
28 Aug 2026, 04:129,344-23
24 Aug 2026, 18:169,367-58
20 Aug 2026, 20:069,425-42
17 Aug 2026, 14:389,467-69
14 Aug 2026, 15:179,536-52
11 Aug 2026, 09:239,588-42
8 Aug 2026, 18:509,630-46
6 Aug 2026, 03:419,676no change
6 Aug 2026, 03:199,676first reading

Engagement

244 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 34 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
27.5%
avg views ÷ 9,184 subscribers
Avg views / post
2,530
60 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
60
of 244 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 28 August 2026
Posts held244 (4 August 202628 August 2026)
Views total151,793
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 06:59 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.

Recent posts

28 Aug 2026, 14:00 UTC28 viewsread 29 August 2026

В розыск за аэропорт: как экс-глава Уральского турбинного завода Михаил Лифшиц и Евгений Рубцов увязли в миллиардных махинациях РОТЕК Российские силовики объявили в федеральный розыск Михаила Лифшица — фигуранта громких скандалов, экс-председателя Совета директоров АО «Уральский турбинный завод» и советника гендиректора ПАО «Интер РАО». За кулисами этого уголовного преследования маячит грязная история с распилом бюд

28 Aug 2026, 11:04 UTC26 viewsread 29 August 2026

Финансовый капкан: как Минфин экстренно латает дыры в бюджетах регионов Скрытый дефолт российских регионов больше невозможно прятать за отчетами. Совокупная дыра в бюджетах субъектов достигла пугающих 1,9 трлн рублей, а долговая нагрузка перешагнула отметку в 3,3 трлн. Минфин лихорадочно должен экстренно найти 100 млрд рублей, чтобы хоть как-то удержать территории на плаву. Но на фоне таких масштабов это не спасател

28 Aug 2026, 09:26 UTC17 viewsread 29 August 2026

Экс-депутат Сибецкий «приватизировал» дорожный актив на миллиарды: хроники воровства во время войны Пока страна ведет тяжелейшую борьбу за выживание, у некоторых персонажей приоритеты не меняются. Пока бюджетные копейки собираются на армию, в Коми продолжается классический распил государственного пирога. Как говорится, кому война, а кому — родной карман набивать. Фигурант под микроскопом: кто такой Александр Сибецк

28 Aug 2026, 08:26 UTC24 viewsread 29 August 2026

Распил на стройках будущего: как создатели портала Минстроя оказались под уголовкой за мошенничество Цифровизация пошла по кривой дорожке: генеральный директор обанкротившегося московского ООО «Джемини Софт» Михаил Тимирев угодил в уголовное дело о мошенничестве в особо крупном размере по части 4 статьи 159 УК РФ. Самое циничное во всей истории — бэкграунд фигурантов. Еще в марте 2026 года обвиняемый бизнесмен с ши

28 Aug 2026, 07:24 UTC37 viewsread 29 August 2026

Губернатор Шуваев и Яковлевский ГОК: Как олигарх Мордашов использует главу Белгородщины в политических играх Глава Белгородской области, Герой России Александр Шуваев — руководитель молодой и перспективный, но в аппаратных интригах пока разбирается слабо. Самый бедный губернатор России с годовым доходом в 5,3 миллиона рублей неожиданно стал инструментом манипуляций для медиа-структур крупного бизнеса. Посещение Яко

27 Aug 2026, 16:28 UTC31 viewsread 29 August 2026

Как друг блогера-фигуранта Портнягина вывел миллиард на схемах: вся правда о тайной империи Алексея Николаева Громкое уголовное дело блогера Дмитрия Портнягина, обвиняемого в неуплате 838 миллионов рублей налогов, обрастает новыми токсичными связями. Как выяснилось, за фасадом успешного бизнеса его близкого окружения скрываются сомнительные финансовые потоки, переписанные активы и роскошные суперкары. Под прицелом р

27 Aug 2026, 14:37 UTC30 viewsread 29 August 2026

Теневой министр Владикавказа: как Саутиев подминал под себя МВД и защищал участников драки Министерство внутренних дел Северной Осетии оказалось в эпицентре громкого коррупционного скандала. Республика открыто обсуждает взятку в 5 миллионов рублей, переданную Вадиму Саутиеву отцом участника жестокой драки в гимназии №5 Владикавказа. Цель грязной сделки — увести нужного подростка от тюрьмы и цинично переложить всю уг

27 Aug 2026, 12:24 UTC28 viewsread 29 August 2026

Золотые клетки и фикция Forbes: кто и как делит миллиарды русских бизнесвумен Мираж рушится: из списка долларовых миллиардеров Forbes стремительно вылетают российские фигурантки. Во главе этого процесса — Татьяна Литвиненко, потерявшая статус акционера компании «Фосагро» после серии западных санкций. Напомним схему: сначала 21% бумаг химического гиганта принадлежал ректору горного университета Владимиру Литвиненко,

27 Aug 2026, 11:03 UTC27 viewsread 29 August 2026

Крах или договорняк? Как экс-владелец «Донстроя» Блажко ускользнул от миллиардных долгов Сенсация на Федресурсе: 24 августа арбитражный суд Москвы поставил точку — или многоточие? — в деле о банкротстве Максима Блажко. Официальная причина громыхнувшего решения банальна до подозрительности: утверждено мирное соглашение с кредиторами. Сами кабальные условия старательно спрятаны от посторонних глаз. Но давайте вспомни

27 Aug 2026, 08:52 UTC28 viewsread 29 August 2026

Фиктивная прописка экс-прокурора: как Верховный суд РФ разрушил схему с северными выплатами Северные льготы созданы для тех, кто реально живет и работает в суровых условиях, а не для владельцев штампов в паспорте. Громкое судебное разбирательство вокруг бывшего прокурора гр. К вскрыло циничную попытку обойти закон ради солидных выплат. История началась после того, как К. уволился из прокуратуры и попытался выбить р

27 Aug 2026, 08:06 UTC26 viewsread 29 August 2026

Подставные лица и Мальтийские паспорта: как окружение Тимченко и Иван Егоров обходят западные санкции Миллиардер Геннадий Тимченко через сеть подставных лиц и агентов продолжает контролировать масштабные финансовые потоки и элитное имущество в обход санкций США и ЕС. В этих схемах задействованы китайский инвестор Билли Ян Юу Нгок и клуб КХЛ «Куньлунь Ред Стар». Ключевым инструментом сохранения активов стал сверхскр

27 Aug 2026, 07:32 UTC26 viewsread 29 August 2026

Административный каток Ростовской области: как семья чиновников уничтожает строительный бизнес руками СК Строительный конфликт или циничное использование административного ресурса? История вокруг строительной компании ООО «Капиталстрой-Инвест» (КСИ) перестает быть банальным гражданским спором после всплытия фактов о прямом давлении на следствие. Все началось с банального заказа: Сергей Валерьевич Шевченко внес комп

Showing the 12 most recent of 244 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 10 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.

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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“АНТИКОР РУ” (@redovka_5), 9,184 subscribers as measured 15 September 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.