Telegram RegisterThe public register of Telegram
Telegram profile photo for База знаний РУСТАМА РЕЗЕПОВА

Channel

База знаний РУСТАМА РЕЗЕПОВА

@RRSystem_baza

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

1,595subscribers

+46 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002466950653
TypeChannel
Username@RRSystem_baza
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 October 2026
Measurements held15
Confirmed unchanged1 time, most recently 12 October 2026
On Telegramt.me/RRSystem_baza

Topic

Education — 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 83% 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. 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 (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@RRSystem/191330 Jun 2026, 08:14 UTC@RRSystem_baza/301 · this entry30 Jun 2026, 09:15 UTC1.0061 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@RRSystem8 (8/8 hand-verifiable sample passed)1.004 minutesthis entry (7–1)

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. None of the 1 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 1 May 2026 to 31 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 2, the earliest publisher we hold is @RRSystem_baza — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key 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 1 other registered channel, 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

1,5471,5951,5717 August 2026 — 1,549 subscribers7 August 2026 — 1,549 subscribers14 August 2026 — 1,547 subscribers17 August 2026 — 1,549 subscribers20 August 2026 — 1,564 subscribers24 August 2026 — 1,582 subscribers27 August 2026 — 1,586 subscribers2 September 2026 — 1,588 subscribers6 September 2026 — 1,589 subscribers11 September 2026 — 1,588 subscribers14 September 2026 — 1,587 subscribers19 September 2026 — 1,586 subscribers28 September 2026 — 1,588 subscribers6 October 2026 — 1,589 subscribers12 October 2026 — 1,595 subscribers7 August 202612 October 2026
15 measurements spanning 66 days, net +46. 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 1,540–1,602 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Oct 2026, 15:401,595+6
6 Oct 2026, 03:561,589+1
28 Sept 2026, 17:191,588+2
19 Sept 2026, 03:191,586-1
14 Sept 2026, 22:181,587-1
11 Sept 2026, 03:011,588-1
6 Sept 2026, 06:411,589+1
2 Sept 2026, 04:451,588+2
27 Aug 2026, 06:371,586+4
24 Aug 2026, 12:351,582+18
20 Aug 2026, 18:541,564+15
17 Aug 2026, 15:461,549+2
14 Aug 2026, 17:361,547-2
7 Aug 2026, 21:321,549no change
7 Aug 2026, 17:581,549first reading

Engagement

20 posts held, back to 1 May 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 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 31 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

382 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 48.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥18448.2%
❤13134.3%
💯297.59%
🥰184.71%
❤‍🔥92.36%
👍92.36%
😍20.524%

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 20 of the 20 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 382 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 1 May 2026 to 31 July 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

31 Jul 2026, 07:29 UTC274 views17 reactionsread 7 August 2026
Photo

Если на него не действуют техники Системы Нет, он не особенный и уникальный. Любой мужчина уникален как личность, но его мужская природа понятна и предсказуема. ❗️Если ты применяешь Систему построения отношений, и конкретно с ним не работает, причина не в этом мужике. Ты можешь заметить, как те же самые техники сразу же меняют поведение других мужчин. Скорее всего, 👉 ты зациклена, и есть Проблема одного мужика – д…

❤12🔥4❤‍🔥1

29 Jul 2026, 06:09 UTC629 views9 reactionsread 7 August 2026
Photo

Быть недоступной, но развивать отношения Он хочет сeкса, а ты пока не готова. Или уже изучаешь Систему и знаешь, что сeкс-доступность снижает значимость. Если вас не связывают другие темы и обстоятельства, после твердого «нет» он просто уйдет. ➡️ Но чтобы развивать отношения с этим мужчиной и перевести его намерения в серьезные, нужно сохранять общение через: 🔹 надежду на секс – применяй обратный Треугольник отнош…

🔥7❤2

27 Jul 2026, 06:29 UTC381 views17 reactionsread 7 August 2026
Photo

За сколько сообщений ты его влюбишь? Можно постоянно переписываться, но никуда не продвинуться в отношениях. А можно за несколько сообщений вызвать сильные эмоции и повысить значимость. ✅ Не так важно, сколько сообщений ты ему напишешь, важнее – о чем вы будете переписываться. У многих женщин есть цель быть всегда на связи с нужным мужчиной. Но пока твоя значимость невысока, ему нет дела до того, что случилось на …

❤14👍2🔥1

27 Jul 2026, 06:18 UTC358 views7 reactionsread 7 August 2026

Девочки, новое видео на YouTube - "Как заинтересовать мужчину. Как удержать его интерес" - https://www.youtube.com/watch?v=uKA3EIcGXFg Смотрим, вникаем, комментируем 💎

🔥7

26 Jul 2026, 08:51 UTC349 views13 reactionsread 7 August 2026

Богини, мне важна ВАША поддержка💃🏼 Хочу выкладывать истории для вас, чтобы вы чаще видели мой контент📱 Проголосовать бесплатно - https://t.me/boost/RRSystem_baza

🔥7❤3🥰3

25 Jul 2026, 08:27 UTC416 views22 reactionsread 7 August 2026
Photo

Если мужчина сильно обидел, как себя вести Есть большая разница, когда мужчина тебя обижает, и когда ты обижаешься на него. В первом случае это его действия незаинтересованности, во втором – твоя Реакция. Но глобальная причина в недостаточной значимости. ❗️Когда мужчине дорога и по-настоящему нужна женщина, он не будет вести себя плохо. Если же какие-то слова или действия случайно задели любимую, мужик сделает все…

🔥19❤3

23 Jul 2026, 05:52 UTC833 views36 reactionsread 7 August 2026
Photo

Что значит «зациклить мужчину на себе» В отношениях кто-то обязательно встает в позицию Покупателя – оценивает, выбирает, сравнивает. Когда в этой позиции мужчина, твоя значимость под угрозой. ✅ Зациклить мужчину на себе – значит обратить его фокус внимания на себя самого. Пусть это он думает, что с ним может быть что-то не так. Пусть он сомневается, достаточно ли хорош для тебя. Пусть он подбирает правильные слова…

🔥25💯8❤3

21 Jul 2026, 13:30 UTC986 views37 reactionsread 7 August 2026
Photo

Почему нельзя уговаривать мужчину остаться Так я хоть что-то сделаю, чтобы спасти отношения. Я же не буду истерить и умолять, просто объясню, что у нас семья и дети. Это кажется логичным: вернуть его, напомнив об обязательствах и положительных моментах. Но мужчина и так всё ПОМНИТ. ➡️ Скорее всего, разрыв отношений - его взвешенное решение. Он не принял его 5 минут назад или вчера утром. Твоя значимость и его чувс…

🔥25❤4❤‍🔥4💯4

17 Jul 2026, 06:21 UTC≈1,050 views31 reactionsread 7 August 2026
Photo

Повышение значимости. Позиция Покупателя В любых отношениях, в любом диалоге есть тот, кто больше заинтересован в "сделке". Это так называемая Позиция Продавца. Продавец идёт на уступки, подстраивается, предлагает "скидку". 👉 Покупатель же соглашается на выгодные для себя условия. Когда ты занимаешь в отношениях такую позицию, мужчина понимает, что ему нужно постараться для того, чтобы ты выбрала его. Здесь ему ну…

❤18💯5❤‍🔥4🔥4

8 Jul 2026, 06:11 UTC≈1,390 views10 reactionsread 7 August 2026
Photo

Сильный перекос Весов в заинтересованность Когда в отношениях с мужчиной ты долго находишься в слабой позиции, стараешься ему понравиться, угодить, заинтересовать, удержать, Весы отношений перекошены в заинтересованность. ➡️ Особенно ярко перекос на Весах выражен в ситуациях, когда женщина пытается восстановить отношения – доказать мужику свою любовь, преданность, уникальность… Но значительный перекос в интерес мо…

🔥10

30 Jun 2026, 09:15 UTC845 views10 reactionsread 7 August 2026

Если он такой успешный, красивый, богатый, зачем ему я? Окей, строить отношения нужно с лучшим для себя мужчиной. Но что, если он практически недосягаем? В таком случае женщины попадают в ловушку собственных убеждений и заранее отказываются от идеи отношений с т а к и м мужчиной. Вокруг него же тысячи красоток, а я обычная. Он успешный и богатый, а я из простой семьи. Ему нужна идеальная жена, а я так себе хозяйка.…

👍7❤2🔥1

30 Jun 2026, 06:07 UTC665 views23 reactionsread 7 August 2026
Photo

Когда отношения уже нельзя спасти Когда он женился на другой или умер. В остальных ситуациях можно восстановить отношения или построить их с нуля – в зависимости от выбранной стратегии. Но женщины обычно сами все портят. Когда все летит к чертям, дамы начинают хаотично применять все возможные способы и окончательно убивают значимость, которая к тому моменту и так невысока. Звучит парадоксально, но чтобы вернуть муж…

❤16💯4😍2🔥1

Showing the 12 most recent of 20 posts we hold for @RRSystem_baza. 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.

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 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 12 October 2026 — this entry's latest reading, not the date you are reading this.

“База знаний РУСТАМА РЕЗЕПОВА” (@RRSystem_baza), 1,595 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/RRSystem_baza.

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.