Telegram RegisterThe public register of Telegram

Channel

Полностью на русском

@polnrus

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

8,959subscribers

-10 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-1001224961005
TypeChannel
Username@polnrus
DescriptionЗдесь будут дублироваться сообщения с канала - @engslov, но только полностью на русском языке 🥇 Продвигаем бренды, политические компании и предпринимателей под ключ. https://blog-activ.ru/
Created21 September 2019measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/polnrus

Topic

Literature — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 60% 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 4 other registered channels. 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)
Posted firstThenOverlapGap
@usaBlog/60928 Nov 2025, 09:26 UTC@polnrus/2794 · this entry28 Nov 2025, 10:02 UTC1.0036 minutes
@usaBlog/6105 Dec 2025, 18:22 UTC@polnrus/2796 · this entry26 Dec 2025, 12:34 UTC1.0021 days
@usaBlog/61110 Dec 2025, 16:30 UTC@polnrus/2795 · this entry10 Dec 2025, 20:34 UTC1.004.1 hours
@polnrus/2799 · this entry3 Apr 2026, 10:01 UTC@usaBlog/6144 Apr 2026, 10:24 UTC1.0024 hours
@usaBlog/6185 May 2026, 07:17 UTC@polnrus/2802 · this entry5 May 2026, 07:18 UTC1.0072 seconds
@usaBlog/62018 May 2026, 13:25 UTC@polnrus/2804 · this entry19 May 2026, 06:33 UTC1.0017 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@usaBlog7 (7/7 hand-verifiable sample passed)1.0044 minutes@usaBlog (52)
@forbes20256 (6/6 hand-verifiable sample passed)1.0025 minutes@forbes2025 (51)
@forbes_blog6 (6/6 hand-verifiable sample passed)1.0044 minutes@forbes_blog (42)
@zapwork16 (6/6 hand-verifiable sample passed)1.004 dayseven

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. None of the 17 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 31 October 2025 to 22 July 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 5, the earliest publisher we hold is @polnrus — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, 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 4 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.

Growth

8,9598,9698,9646 August 2026 — 8,969 subscribers6 August 2026 — 8,967 subscribers10 August 2026 — 8,959 subscribers6 August 202610 August 2026
3 measurements spanning 3 days, net -10. 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 8,958–8,971 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 04:288,959-8
6 Aug 2026, 21:428,967-2
6 Aug 2026, 17:458,969first reading

Engagement

21 posts held, back to 31 October 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 14 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.20%
avg views ÷ 8,959 subscribers
Avg views / post
287
3 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
3
of 21 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 8 August 2026
Posts held21 (31 October 20258 August 2026)
Views total861
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 15:45 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
56
Links
2,570

Lifetime counters from Telegram’s own channel header, read 12 August 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

8 Aug 2026, 08:29 UTC163 viewsread 12 August 2026
Photo

Иногда путь к морю начинается с мёртвого лифта Ася хочет добраться до Белого моря. Не ради красивой фотографии и не для того, чтобы доказать миру, какая она сильная. Просто когда-то отец обещал показать ей море — а потом исчез. Теперь между ней и этим обещанием тысячи километров, старый микроавтобус, водитель с собственными долгами и страна, где даже слово «доступно» часто означает: попросите кого-нибудь вас занести

22 Jul 2026, 08:01 UTC341 viewsread 12 August 2026
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МЁРТВЫЕ ИНОГДА ДОСТАВЛЯЮТ ПРАВДУ ЛУЧШЕ ЖИВЫХ Вера Сергеевна умерла, но перед смертью успела устроить Павлу настоящий логистический ад: семь книг, семь адресов, старый фургон и кот, который явно знает больше людей. Один адресат врёт. Другой сорок лет ждёт извинений. Третий купил билет, но так и не уехал. А кто-то официально умер, хотя продолжает ходить по земле. Это не уютная история о волшебной библиотеке. Это рома

17 Jul 2026, 09:40 UTC357 viewsread 12 August 2026
Photo

Он написал бестселлер на чужой боли. Теперь героиня его книги вернулась Десять лет назад Ася Зарецкая отказалась от экспериментальной процедуры коррекции памяти. Врачи решили, что её отказ был сформулирован недостаточно ясно. Через несколько дней девушку объявили мёртвой, материалы закрыли, а психотерапевт Даниил Орлов превратил случившееся в главу своей самой успешной книги. Он построил карьеру на признании, которо

13 Jul 2026, 07:59 UTC368 viewsread 12 August 2026
Photo

Ты когда-нибудь ночью смотрел в чужие окна? Не потому что маньяк. А потому что там, за стеклом, вроде как идёт жизнь. «Пока горят окна» — роман про мужика, у которого сломался телефон, а вместе с ним треснула вся привычная жизнь. Старое видео десятилетней давности. Ночная Москва. Аптека. Бильярдная. Шаурма. Чужие окна. Побитая скула. Бесплатный кофе. И дядя Гриша, который полез за касарём, а достал из кармана всю

7 Jul 2026, 07:40 UTC402 viewsread 12 August 2026
Photo

Он думал, что просто много работает. А оказалось — годами отсутствует дома Герман Лисицын — обычный мужчина сорока двух лет. Работа, дедлайны, усталость, телефон, семья, холодильник, ребёнок, который всё ещё ждёт папу, и жена, которая уже смотрит квартиру, где его не будет. Не потому что она злодейка. А потому что рядом с ним слишком долго было одиноко. «Семь сообщений, которые ты не отправил» — это не сладкая исто

1 Jul 2026, 07:44 UTC439 viewsread 12 August 2026
Photo

Эта книга не сделает тебя счастливым. Она не даст 7 шагов к успеху. Не погладит по голове. Не скажет: “ты уникален, просто раскрой потенциал”. Она вытащит тебя ночью на улицу. В аптеку. В автобус. В бильярдную. К реке. К чужим окнам. К людям, которые тоже что-то просрали, но почему-то ещё живы. «Пока горят окна» — роман про одну ночь, после которой уже нельзя делать вид, что всё нормально.

23 Jun 2026, 12:02 UTC483 viewsread 12 August 2026
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ЕСЛИ ТЕБЯ ТОШНИТ ОТ “НОВОЙ ЖИЗНИ” — ЭТА КНИГА ДЛЯ ТЕБЯ Нас всех уже пытались починить. Курсами. Марафонами. Ретритами. Медитациями. Людьми с мягким голосом и ценником, после которого душа должна исцелиться хотя бы из уважения к расходам. Но правда в том, что человек не чинится красиво. Он ломается на кухне. Молчит в аэропорту. Врёт бывшей. Боится собственного телефона. Покупает красное платье и чувствует себя прест

7 Jun 2026, 09:41 UTC527 viewsread 12 August 2026
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💰 Книга — единственный бизнес-инструмент, который продаёт вас ещё до знакомства. Когда у предпринимателя есть книга, его воспринимают иначе. Выступления, СМИ, новые клиенты, партнёрства и высокий чек приходят значительно легче, когда за вашей фамилией стоит слово «автор». Команда https://expert-book.pro/ создаёт книги под ключ для предпринимателей, экспертов и владельцев бизнеса. От первой идеи до готовой публикаци

26 May 2026, 13:02 UTC623 viewsread 12 August 2026
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Книга для тех, кто заебался делать вид, что всё нормально.» Главный герой не станет “лучшей версией себя”. Не откроет бизнес. Не научится мыслить позитивно. Не превратится в просветленного гуру. Он будет бояться. Злиться. Паниковать. Завидовать чужим жизням. И пытаться не развалиться окончательно. А потом появится Байкал. Старик-писатель. И чувство, будто реальность начинает трещать по швам. «До того как меня не

19 May 2026, 06:33 UTC630 viewsread 12 August 2026
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«У вас опухоль в мозге». Иногда после такой фразы люди начинают ценить жизнь. А иногда — едут на Ольхон искать старого писателя, который, возможно, давно сошел с ума. Главный герой этой книги не станет лучше. Не превратится в просветленного гуру. Не научится “любить себя”. Он будет бояться. Шутить. Злиться. Теряться в собственных мыслях. И пытаться понять — что делать человеку, когда впереди начинает маячить конец

11 May 2026, 08:04 UTCviews —

Полностью на русском pinned «Большинство читает неправильно. Отсюда ощущение: «читаю много — а толку мало». В этом видео — другой подход. Глубже. Честнее. Практичнее. — Как превратить чтение в инструмент роста — Какие привычки отличают тех, кто реально меняется Это не поверхностные…»

5 May 2026, 07:18 UTC815 viewsread 12 August 2026
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🤫 Есть способ жестко угарнуть с друга Прям вот до слёз Закидываешь его фотку — и делаешь из него скуфа 😄 Типичный батя, который “раньше было лучше” Хочешь тоже? Залетай в бесплатный бот 👉 @Bratan_foto_bot

Showing the 12 most recent of 21 posts we hold for @polnrus. 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.

Citation-graph rank

Citation-graph rank — 1,008,920 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 1 registered channel — 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.

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.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“Полностью на русском” (@polnrus), 8,959 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/polnrus.

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.