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Channel

SMM | Курсы

@slivkb

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

16,048subscribers

-383 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-1001462554941
TypeChannel
Username@slivkb
DescriptionОбразование теперь БЕСПЛАТНО! Сотрудничество: @evabyte
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held57
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/slivkb

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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. 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
@moe_obrazovanie/89771 Aug 2026, 06:44 UTC@slivkb/7040 · this entry1 Aug 2026, 06:44 UTC1.00under a minute
@moe_obrazovanie/89813 Aug 2026, 13:24 UTC@slivkb/7041 · this entry3 Aug 2026, 13:24 UTC1.00under a minute
@moe_obrazovanie/89824 Aug 2026, 06:39 UTC@slivkb/7043 · this entry4 Aug 2026, 06:39 UTC1.00under a minute
@moe_obrazovanie/89866 Aug 2026, 06:55 UTC@slivkb/7045 · this entry6 Aug 2026, 06:55 UTC1.00under a minute
@moe_obrazovanie/89877 Aug 2026, 06:55 UTC@slivkb/7047 · this entry7 Aug 2026, 06:55 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@moe_obrazovanie5 (5/5 hand-verifiable sample passed)1.00under a minute@moe_obrazovanie (5–0)

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. 2 of the 5 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 22 comparable posts for this entry, running 1 July 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 2, the earliest publisher we hold is @moe_obrazovanie. 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 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

16,04816,43116,239.56 August 2026 — 16,431 subscribers7 August 2026 — 16,431 subscribers8 August 2026 — 16,429 subscribers9 August 2026 — 16,422 subscribers10 August 2026 — 16,417 subscribers11 August 2026 — 16,414 subscribers14 August 2026 — 16,400 subscribers15 August 2026 — 16,395 subscribers16 August 2026 — 16,390 subscribers17 August 2026 — 16,391 subscribers18 August 2026 — 16,387 subscribers19 August 2026 — 16,380 subscribers20 August 2026 — 16,371 subscribers21 August 2026 — 16,367 subscribers22 August 2026 — 16,361 subscribers24 August 2026 — 16,363 subscribers25 August 2026 — 16,356 subscribers26 August 2026 — 16,352 subscribers27 August 2026 — 16,348 subscribers28 August 2026 — 16,344 subscribers29 August 2026 — 16,340 subscribers30 August 2026 — 16,334 subscribers31 August 2026 — 16,327 subscribers1 September 2026 — 16,326 subscribers3 September 2026 — 16,324 subscribers4 September 2026 — 16,315 subscribers8 September 2026 — 16,303 subscribers11 September 2026 — 16,286 subscribers13 September 2026 — 16,281 subscribers14 September 2026 — 16,273 subscribers16 September 2026 — 16,271 subscribers18 September 2026 — 16,266 subscribers25 September 2026 — 16,245 subscribers3 October 2026 — 16,205 subscribers8 October 2026 — 16,183 subscribers12 October 2026 — 16,170 subscribers14 October 2026 — 16,159 subscribers15 October 2026 — 16,151 subscribers16 October 2026 — 16,149 subscribers17 October 2026 — 16,144 subscribers18 October 2026 — 16,135 subscribers19 October 2026 — 16,134 subscribers20 October 2026 — 16,131 subscribers22 October 2026 — 16,125 subscribers23 October 2026 — 16,117 subscribers25 October 2026 — 16,113 subscribers25 October 2026 — 16,107 subscribers26 October 2026 — 16,098 subscribers27 October 2026 — 16,094 subscribers29 October 2026 — 16,082 subscribers30 October 2026 — 16,073 subscribers31 October 2026 — 16,067 subscribers2 November 2026 — 16,062 subscribers3 November 2026 — 16,059 subscribers4 November 2026 — 16,056 subscribers4 November 2026 — 16,050 subscribers5 November 2026 — 16,048 subscribers6 August 20265 November 2026
57 measurements spanning 92 days, net -383. 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 15,991–16,488 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)SubscribersChange
5 Nov 2026, 21:3816,048-2
4 Nov 2026, 23:4016,050-6
4 Nov 2026, 02:2016,056-3
3 Nov 2026, 02:4816,059-3
2 Nov 2026, 01:3116,062-5
31 Oct 2026, 05:3716,067-6
30 Oct 2026, 02:5016,073-9
29 Oct 2026, 03:2116,082-12
27 Oct 2026, 23:4016,094-4
26 Oct 2026, 23:0916,098-9
25 Oct 2026, 21:5916,107-6
25 Oct 2026, 00:0016,113-4
23 Oct 2026, 02:4716,117-8
22 Oct 2026, 02:5916,125-6
20 Oct 2026, 18:0716,131-3
19 Oct 2026, 15:0616,134-1
18 Oct 2026, 18:1716,135-9
17 Oct 2026, 15:4716,144-5
16 Oct 2026, 12:4616,149-2
15 Oct 2026, 14:3016,151first reading

Engagement

81 posts held, back to 1 July 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 68 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.54%
avg views ÷ 16,048 subscribers
Avg views / post
246
23 posts measured
Reaction rate
0.09%
reactions ÷ views · ER floor
Posts in window
23
of 81 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. It is computed over the 4 of 23 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 November 2026
Posts held81 (1 July 2026 – 5 November 2026)
Views total5,667
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 05:22 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
≈94
Videos
≈60
Links
≈2,270

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.

Reaction mix

13 reactions across 12 posts, in 2 distinct kinds. The most used accounts for 92.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1292.3%
🤔17.69%

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 17 of the 81 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 13 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 81 most recent posts we hold, published 1 July 2026 to 5 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: 0 of 23 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).

5 Nov 2026, 05:55 UTC87 viewsread 6 November 2026
Video

Как начать бизнес на маркетплейсе — #урок Лео Шевченко В ролике расскажут, как выбрать товар на Вайлдберриз новичку. Укажут сервисы, которые помогут определиться с товаром на продажу, найдут прибыльные ниши на Вайлдберриз, рассчитают доход на маркетплейсе. Полное руководство для начала своего бизнеса. Смотреть урок: https://youtu.be/QGZvT-AML60?si=jAfNMmpCSN5pPNea

4 Nov 2026, 13:48 UTC138 viewsread 6 November 2026
Video

Из чего состоит любовь — #лекция от MyGap Все мы слышали выражение о том, что любовь — это химия. Из этой лекции вы узнаете, какие именно вещества и в какой промежуток отношений отвечают за разные чувства, для чего нам нужна такая регуляция и почему отношения никогда не могут быть однородными, а также получите ответ на самый главный вопрос — сколько на самом деле живёт любовь? Смотреть лекцию: https://youtu.be/IwEr…

4 Nov 2026, 06:12 UTC153 viewsread 6 November 2026
Video

Как пройти собеседование — #урок от faces&cases Очень полезный урок, который поможет вам пройти собеседование на работу вашей мечты. В нём профессиональный HR поделится секретами отбора людей на разнообразные должности, а также поделится методами по правильному прохождению собеседования. Вы узнаете, что точно не нужно говорить на собеседовании, как презентовать свои умения и достижения, а также поймёте — какие вопро…

3 Nov 2026, 06:22 UTC175 views0 reactionsread 6 November 2026
Video

Как запоминать английские слова в 3 раза быстрее — #урок от Энтони Американец Вы узнаете 5 техник, которые помогут вам ускорить и упростить запоминание большого количества английских слов. Вы поймёте, как создать среду для обучения, правильно запоминать слова в контексте и узнаете, почему даже время суток имеет значение. Смотреть урок: https://youtu.be/o988VfM5PH4

2 Nov 2026, 16:34 UTC193 viewsread 6 November 2026
Video

Как создать современный слайд в PowerPoint - #урок Кима Воронина За 18 минут этого урока вы научитесь: делать умную анимацию в 2 клика (с помощью перехода "Трансформация" или "Morph", работать с градиентами, подбирать фотографии и иллюстрации и делать стильный исчезающий текст. Смотреть урок: https://youtu.be/Z8eIx_o43ME

2 Nov 2026, 14:44 UTC185 viewsread 6 November 2026
Video

32 совета от чемпиона мира по шахматам — #урок от Магнуса Карлсена Советы в уроке касаются не только шахматах, но и повседневной жизни. Вы узнаете, что делать, чтобы ваш мозг всегда был в хорошем состоянии для активной работы, а также откроете для себя несколько хитростей игры от настоящего гроссмейстера. Смотреть урок: https://youtu.be/4kiyM3l6hdk

2 Nov 2026, 12:44 UTC182 viewsread 6 November 2026
Video

Откуда берутся теории заговора — #лекция Александра Панченко Из лекции вы узнаете, как появляются теории заговора, как конспирология рождается из ошибок и случайных событий, как религия и уровень образования влияют на конспирологию, а также о том, в какие теории заговора мы невольно верим. Смотреть лекцию: https://youtu.be/gR_Ye1torIg

2 Nov 2026, 07:02 UTC180 viewsread 6 November 2026
Video

Как работают лекарства - #лекция Юрия Киселева В этой лекции доцент рассказывает о том, как работают лекарства. Вы узнаете что такое действующее вещество и лекарственное средство и сем отличается бренд от дженерика. Смотреть лекцию: https://youtu.be/7M-R_PYE4CU

1 Nov 2026, 09:38 UTC212 viewsread 6 November 2026
Video

Почему глупые люди думают, что они умные — #лекция Арт Кора Сегодня мы с вами ответим на вопрос, который давно мучает человечество — почему глупые люди всегда думают, что они умные? Почему дураки всегда такого высокого мнения о себе? И что означает эффект даннинга-крюгера? Смотреть лекцию: youtube.com/watch?v=AhlK85sOoxI

31 Oct 2026, 05:10 UTC261 viewsread 6 November 2026
Video

Как сахар влияет на твое тело и здоровье — #лекция Интегральный Биохакинг Как сахар влияет на наш мозг и вызывает желание есть все больше и больше? Сахар влияет на наш организм и это может привести к серьезным последствиям, таким как ожирение, диабет, проблемы с сердцем. В этом ролике вы узнаете о сахаре и его вреде для вашего здоровье, как сахар влияет на наш организм и почему слишком много сахара может вызвать сер…

30 Oct 2026, 05:05 UTC272 viewsread 6 November 2026
Video

Как видеть во сне то, что ты хочешь — #урок Алексея Знакова Можно ли полностью контролировать то что видишь во сне? Да, это реально! Вы можете быть не просто зрителем, а самостоятельно создавать свое сновидение. Летать над городом, встретить любого человека, обрести сверхспособности. В этом ролике вы узнаете, как контролировать сон и как видеть во сне то, что вы желаете. Смотреть урок: youtube.com/watch?v=uI3NGnIHX…

29 Oct 2026, 12:32 UTC270 viewsread 6 November 2026
Video

Домашняя кардио тренировка. Комплекс упражнений для начинающих — #урок от канала neofit Кардио тренировка - это вид спортивной тренировки, при которой основная нагрузка направлена на работу сердца и сосудов. В этом уроке расскажут о комплексе упражнений, который отлично подойдет для начинающих, но даже опытные спортсмены вполне могут его выполнять, просто с более высокой интенсивностью. Смотреть урок: youtube.com/w…

Showing the 12 most recent of 81 posts we hold for @slivkb. 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 recorded as deleted after publishing

We recorded 11 posts on @slivkb as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
9 August 2026
Most recent seen missing
3 November 2026
Median time before seen missing
40 hours
Seen missing in the last 30 days
1

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.

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.

worklis | Ежедневная подработка
@worklis · 67,317
Telegram ranks this channel #24 of 62 here — alongside 61 others — read 20 August 2026
PROFI | Курсы гайды
@profi_kursi_gaidi · 93,131
Telegram ranks this channel #27 of 77 here — alongside 76 others — read 16 August 2026
Скиллгет | Онлайн образование
@skillget · 79,669
Telegram ranks this channel #30 of 88 here — alongside 87 others — read 18 August 2026
Чек-листы марафоны
@motionchek · 41,233
Telegram ranks this channel #34 of 88 here — alongside 87 others — read 28 August 2026
Рецепты | Еда | Кулинария | Шеф повар 👨‍🍳
@povarb · 43,329
Telegram ranks this channel #34 of 70 here — alongside 69 others — read 28 August 2026
Идеи для дома
@ideiki · 19,250
Telegram ranks this channel #35 of 72 here — alongside 71 others — read 2 October 2026
Ministry of Science and Higher Education (MoSHE)
@MinistryoSHE · 78,827
Telegram ranks this channel #43 of 72 here — alongside 71 others — read 22 September 2026
Я дизайнер | Дизайн | Интерьер | Ремонт Квартиры
@dizaina · 40,742
Telegram ranks this channel #46 of 71 here — alongside 70 others — read 29 August 2026
Своими руками
@makehands · 22,112
Telegram ranks this channel #47 of 70 here — alongside 69 others — read 21 September 2026
Эрудиция | Digital и бизнес образование
@eruditurl24 · 96,441
Telegram ranks this channel #47 of 86 here — alongside 85 others — read 16 August 2026
В школе этому не учат | Бизнес & Digital
@delaumoney · 53,353
Telegram ranks this channel #55 of 86 here — alongside 85 others — read 24 August 2026
GIF Рецепты. Быстро и Вкусно!
@EdaGif · 37,730
Telegram ranks this channel #56 of 75 here — alongside 74 others — read 31 August 2026
Рецепты для мультиварки
@multivar · 27,744
Telegram ranks this channel #62 of 80 here — alongside 79 others — read 10 September 2026

This channel appears in 13 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“SMM | Курсы” (@slivkb), 16,048 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/slivkb.

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.