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Channel

Лекториум

@lektorium20

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Advertising · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

114,433subscribers

-1,686 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001253079237
TypeChannel
Username@lektorium20
DescriptionСамообразование на всю жизнь. Курсы, лекции, образовательные подборки. Реклама и размещение анонсов курсов: @zubar89 Канал включён в перечень РКН: https://rkn.link/VqQ
Created3 March 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/lektorium20

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 9 August 2026 and assigned it the closest of 31 fixed categories, at 86% 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@smmau/838589 Jul 2026, 14:20 UTC@lektorium20/6892 · this entry27 Jul 2026, 19:50 UTC1.0018 days
@lektorium20/6899 · this entry2 Aug 2026, 12:34 UTC@smmau/838752 Aug 2026, 12:34 UTC1.00under a minute
@lektorium20/6902 · this entry3 Aug 2026, 13:24 UTC@smmau/838763 Aug 2026, 13:24 UTC1.00under a minute
@lektorium20/6903 · this entry4 Aug 2026, 06:38 UTC@smmau/838784 Aug 2026, 06:38 UTC1.00under a minute
@lektorium20/6906 · this entry6 Aug 2026, 06:44 UTC@smmau/838806 Aug 2026, 06:44 UTC1.00under a minute
@lektorium20/6907 · this entry7 Aug 2026, 06:56 UTC@smmau/838827 Aug 2026, 06:56 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@smmau6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (5–1)

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 23 comparable posts for this entry, running 24 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 @smmau. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, 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

114,433116,119115,2766 August 20265 November 2026
61 measurements spanning 92 days, net -1,686. 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 114,180–116,372 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
5 Nov 2026, 20:19114,433-14
4 Nov 2026, 23:31114,447-14
3 Nov 2026, 21:20114,461-10
2 Nov 2026, 19:10114,471-30
1 Nov 2026, 17:29114,501-14
31 Oct 2026, 15:17114,515-16
30 Oct 2026, 18:27114,531-40
29 Oct 2026, 18:58114,571-20
28 Oct 2026, 19:08114,591-24
27 Oct 2026, 17:20114,615-19
26 Oct 2026, 16:48114,634-9
25 Oct 2026, 16:07114,643-10
24 Oct 2026, 13:10114,653-15
23 Oct 2026, 15:17114,668-21
22 Oct 2026, 13:59114,689-38
21 Oct 2026, 05:20114,727-21
20 Oct 2026, 06:46114,748-24
19 Oct 2026, 05:52114,772-12
18 Oct 2026, 09:09114,784-13
17 Oct 2026, 08:15114,797first reading

Engagement

173 posts held, back to 24 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 188 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.56%
avg views ÷ 114,433 subscribers
Avg views / post
2,920
51 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
51
of 173 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 6 November 2026
Posts held173 (24 July 2026 – 6 November 2026)
Views total149,172
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 17:37 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
≈323
Videos
≈45
Links
≈4,560

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.

Video runtime
2m 00s
Average length
30s

Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Advertising

Ad load
0.578%
1 of 173 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
3,150
over 1 measured post
Median views · rest
3,410
over 172 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2W5zFG1Yp6D128 September 202628 September 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 173 most recent posts we hold, published 24 July 2026 to 6 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 51 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).

6 Nov 2026, 13:06 UTC872 viewsread 6 November 2026
Video

Ответная агрессия. Научись конфликтовать — #урок от канала YETI STREAM Почему воспитатели и учителя запрещают давать сдачи? Встречная агрессия порицается учителями и воспитателями. Все прекрасно знают что драться плохо и нужно учиться решать проблемы мирным путём. Но что если вы стали жертвой агрессора? Как правильно вести себя в напряженных конфликтных ситуациях расскажет лекция. Смотреть урок: youtube.com/watch?v…

6 Nov 2026, 06:35 UTC≈1,270 viewsread 6 November 2026
Video

Подробно про 3D Motion-дизайн — #лекция Daniel Poul Моушн-дизайн — относительно новое направление в IT. Специалистов сейчас не так много, а профессия востребована: без них не обойдется любой телеканал, киностудия или видеопроизводство. Моушн-дизайнер сочетает в себе огромное количество навыков: от графического дизайна и анимации до основ драматургии, режиссуры и сторителлинга. Подробнее в ролике. Смотреть лекцию: y…

5 Nov 2026, 05:55 UTC≈1,740 viewsread 6 November 2026
Video

Как увеличить свой рост — #лекция Мужской силы Сегодня мы поговорим о том, как увеличить свой рост практически в любом возрасте. Эти советы и тренировки помогут вам не только увеличить рост выше заложенного генетикой, но и преодолеть так званый "застой роста". Смотреть лекцию: youtube.com/watch?v=CfWnNBYYBB4

4 Nov 2026, 14:17 UTC≈1,990 viewsread 6 November 2026
Video

Как на самом деле делаются процессоры — #лекция Droider Чтобы создать сверхмощный процессор, достаточно простого песка. В наших компьютерах в буквальном смысле песок, вернее — составляющий его кремний. Так какие же тонкости производства современных процессоров? В этом ролике вы узнаете, что такое фотолитография и DUV, в чём сложности разработки EUV, кто производит процессоры Apple A14 Bionic, Snapdragon, какого техп…

4 Nov 2026, 06:12 UTC≈2,020 viewsread 6 November 2026
Video

Как писать классные текста — #урок Александра Коровкина Навык написания текстов крайне важная штука для любого предпринимателя или рекламщика. В это видео разбираем 7 техник копирайтинга, которые помогут вам научиться писать крутые тексты для продажи ваших товаров или услуг. Смотреть урок: youtube.com/watch?v=605mVTKJHVI

3 Nov 2026, 06:02 UTC≈2,570 viewsread 6 November 2026
Video

Почему хороший сон = хороший секс — #урок от Ted на русском В этом уроке, вместе с сомнологом Мэттом Уокером, вы узнаете, как качество сна влияет на сексуальную жизнь и гормональный фон человека, почему для долгой сексуальной жизни до старости нужно высыпаться, а также как сон влияет на качество романтических отношений. Смотреть урок: https://youtu.be/AmDaPS7EWLs

2 Nov 2026, 16:32 UTC≈2,470 viewsread 6 November 2026
Video

Что, если все люди на земле исчезнут? — #лекция Buffet Представьте, что человечество внезапно исчезло с лица нашей планеты. А вместе с ним исчезло и его влияние на наш мир. Что в таким случае произойдет с городами, какая судьба ждет животных , которые остались без людей, и как скоро пропадут следы человеческой цивилизации? На эти и другие вопросы ответят в ролике. Смотреть лекцию: https://youtu.be/bkjCWv2rP1E?si=Wn…

2 Nov 2026, 15:43 UTC≈2,200 viewsread 6 November 2026
Video

Как укрепить сердце — #урок Доктора Утина В уроке разбираются мифы о работе сердца и сосудов, такие как: плохой холестерин, отрыв и растворение бляшек, БАДы для сердца и рабочее давление. Также вы узнаете, как на самом деле оздоровить своё сердце с сосудами, а ещё о том, для чего на самом деле нужна кардиограмма. Смотреть урок: https://youtu.be/2b-YYtFVVds

2 Nov 2026, 13:35 UTC≈2,210 viewsread 6 November 2026
Video

Как прокачать интуицию — #урок RTVI Развлечения В студии RTVI Марианна Минскер и доктор психологических наук Алексей Ситников говорят об интуиции, которая помогает сохранить себя в условиях неопределенности. Как мы принимаем решения? И что развивает интуицию? В ролике вы узнаете, как сохранить себя, зачем нужно держать цели в голове, почему люди "неправильно" мечтают и как в себе развить и прокачать интуицию. Смотр…

2 Nov 2026, 13:00 UTC≈2,140 viewsread 6 November 2026

Как проверить себя в предпринимательстве ещё в школе — #олимпиада RWB и МГУ RWB и МГУ открыли второй сезон Олимпиады «Ломоносов» по предпринимательству для школьников 8–11 классов. Вместо обычных тестов участникам предложат кейсы по экономике, математике и бизнесу, подготовленные экспертами RWB и экономического факультета МГУ. В прошлом сезоне в направлении участвовали более 2 тысяч школьников из восьми стран. В это…

2 Nov 2026, 06:54 UTC≈2,200 viewsread 6 November 2026
Video

Всё про графическую нейросеть Fooocus — #урок Neuro Digital Art В этом видео автор расскажет и покажет как установить нейросеть Fooocus, основанную на Stable Diffusion и как запустить ее в Google Colab, а так же об основных возможностях этой программы. Как использовать стили для своих генераций, увеличивать замеры изображений, заменять лица и вносить изменения в изображения. Смотреть урок: youtube.com/watch?v=Y0gyZ…

1 Nov 2026, 09:46 UTC≈2,400 viewsread 6 November 2026
Video

Научный секрет силы и роста мышц — #урок от AsapScience Как и за счёт чего растут мышцы? Может ли обычный человек стать сверхсильным, как супергерои? Как ускорить свой прогресс от тренировок и сделать так, чтобы мышцы стали больше уже в ближайшее время? Ответы на эти вопросы вы узнаете в данном занимательном уроке. Смотреть урок: https://youtu.be/b6HA-5a8p-0

Showing the 12 most recent of 173 posts we hold for @lektorium20. 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 1 post on @lektorium20 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
24 September 2026
Most recent seen missing
24 September 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
0

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 7 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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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Не баг, а фича
@bugnotfeature · 1,160,745
#34
ЕЖ
@ejdailyru · 665,083
#35
Кровавая барыня
@bloodysx · 1,173,373
#36
лидер мнений среди удобрений
@lider · 175,907
#37
НЕВЗОРОВ
@nevzorovtv · 1,002,207
#38
Дудь
@yurydud · 850,752
#39
Rozetked
@rozetked · 648,779
#40
TrendWatching
@trendwatching24 · 1,383,629
#41
Лентач
@lentachold · 391,746
#42
Yaplakal.com
@yaplakal · 420,135
#43
Ты в тренде или уходи
@trendsetter · 1,507,886
#44
Пекарня
@pekagame · 1,120,111
#45
1337
@media1337 · 1,106,878
#46
Сталингулаг
@stalin_gulag · 297,992
#47
Код.ру
@d_code · 405,441
#48
РБК. Новости. Главное
@rbc_news · 914,536
#49
Пездуза
@pezduzalive · 369,175
#50
Fucking English | Английский 18+
@fuckingenglish · 307,574
#51
Nation Geographic
@NationGeographic · 322,605
#52
Не баг, а фича
@bugfeature · 553,816
#53
Сегодня в тренде
@trends · 1,114,613
#54
Naked Science
@nsmag · 247,062
#55
бумеры смотрят телек
@boomers_TV · 157,134
#56
Джейпег Малевича
@malepeg · 466,684
#57
Сергей Минаев
@minaevlife · 317,792
#58
Пикабу
@pikabu · 254,979
#59
Рестарт
@remedia · 669,433
#60
Игорь, начинайте работу
@oplata_skoro_budet · 635,370
#61
Партизанский Маркетинг
@GuerrillaMarketing · 105,272
#62
Русский маркетинг
@smmrus · 125,001
#63
Психология Маркетинга
@marketpsy · 172,289
#64
GitHub Community
@github · 155,121
#65
Екатерина Шульман
@eschulmann · 300,019
#66
bitkogan
@bitkogan · 257,499
#67
CodeCamp
@codecamp · 177,832
#68
Тут картины показываем
@artgallery · 193,725
#69
Ещё главу и спать | Литература
@knigi_literatura · 257,915
#70
Лучшие вакансии
@vacanciesbest · 162,763
#71
Журнал НОЖ
@knifemedia · 101,861
#72
Передали коллегам
@collegi · 134,559
#73
Share
@sharemed · 215,826
#74
Т-Инвестиции
@tb_invest_official · 521,971
#75
Dzari
@DrDzari · 263,372
#76
НЕЗЫГАРЬ
@russicaru · 418,537
#77
Журнал «Код»
@thecodemedia · 48,888
#78
Forbes Russia
@forbesrussia · 235,524
#79
Технотренды
@techno_media · 921,001
#80
Denis Sexy IT 🤖
@denissexy · 140,405
#81
Яндекс
@yandex · 604,062
#82
Нажми Enter | Тренды, ІТ и бизнес
@PushEnter · 90,528
#83
Нейродвиж
@neuraldvig · 289,322
#84
Китайская угроза
@economikal · 117,479
#85
[BadComedian]
@TheBadComedian · 605,233
#86
Страдающее Средневековье
@pophistory · 140,198
#87
Беспощадный пиарщик
@prbezposhady · 151,341
#88
Хулиномика
@hoolinomics · 98,653
#89
Mash
@mash · 3,143,205
#90
Двач
@dvachannel · 970,189
#91
Банкста
@banksta · 439,674
#92
ВИЛСАКОМ РЕД / WYLSACOM RED
@wylsared · 1,091,275
#93
Кинопоиск | Фильмы и сериалы
@kinopoisk · 794,814
#94
ок, согласовано
@notypicmarketing · 701,441
#95
Креатив со звездочкой
@creative · 133,558
#96

Read from Telegram’s recommendation API, most recently 14 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Эрудиция | Digital и бизнес образование
@eruditurl24 · 96,441
Telegram ranks this channel #2 of 86 here — alongside 85 others — read 16 August 2026
Бесплатное образование
@free_edu · 306,884
Telegram ranks this channel #2 of 95 here — alongside 94 others — read 10 August 2026
Мое Образование
@moe_obrazovanie · 225,280
Telegram ranks this channel #3 of 89 here — alongside 88 others — read 11 August 2026
Словарный запас | Саморазвитие
@slovar_psikhologia · 83,005
Telegram ranks this channel #7 of 91 here — alongside 90 others — read 18 August 2026
Аудиокниги
@AUDIOKNIGI_CHANNEL · 256,639
Telegram ranks this channel #8 of 60 here — alongside 59 others — read 10 August 2026
Книги и Аудиокниги | Флибуста
@skachat_chitat_besplatno · 88,981
Telegram ranks this channel #10 of 73 here — alongside 72 others — read 17 August 2026
Сила Книги | Аудиокниги | Flibusta
@silaknigi · 122,021
Telegram ranks this channel #11 of 86 here — alongside 85 others — read 13 August 2026
Книги | Аудиокниги
@flibusta_anglysky · 366,647
Telegram ranks this channel #11 of 91 here — alongside 90 others — read 10 August 2026
Excel Hacks | Бухгалтерия и Аналитика
@hacks_excel · 283,237
Telegram ranks this channel #19 of 85 here — alongside 84 others — read 10 August 2026
САМОРАЗВИТИЕ 🎙
@podcast_motivator · 20,975
Telegram ranks this channel #20 of 76 here — alongside 75 others — read 23 September 2026
Наше здоровье | Блог Алексеева
@nasche_zdor · 18,681
Telegram ranks this channel #22 of 76 here — alongside 75 others — read 5 October 2026
Бизнес | Подкасты
@podkasty24 · 187,217
Telegram ranks this channel #24 of 83 here — alongside 82 others — read 11 August 2026
CMD — полезные сервисы для жизни и работы
@cmd_cv · 53,280
Telegram ranks this channel #26 of 94 here — alongside 93 others — read 24 August 2026
Троянский конь | IT, технологии
@trojan_anonym · 63,969
Telegram ranks this channel #27 of 82 here — alongside 81 others — read 21 August 2026
[404] — программирование
@procode404 · 40,106
Telegram ranks this channel #28 of 83 here — alongside 82 others — read 30 August 2026
0% токсичности
@stop_toxic · 33,643
Telegram ranks this channel #29 of 87 here — alongside 86 others — read 3 September 2026
Hot Idioms | Английские идиомы
@hot_idioms · 53,792
Telegram ranks this channel #29 of 91 here — alongside 90 others — read 23 August 2026
факультет
@studyfaculty · 43,567
Telegram ranks this channel #30 of 97 here — alongside 96 others — read 5 September 2026
Эффективный человек
@effective_official · 42,522
Telegram ranks this channel #31 of 85 here — alongside 84 others — read 28 August 2026
В школе этому не учат | Бизнес & Digital
@delaumoney · 53,353
Telegram ranks this channel #33 of 86 here — alongside 85 others — read 24 August 2026
БИЗНЕС ИДЕИ
@idei_biznes · 26,696
Telegram ranks this channel #34 of 78 here — alongside 77 others — read 11 September 2026
Басов про стартапы
@zeroton · 24,102
Telegram ranks this channel #40 of 96 here — alongside 95 others — read 16 September 2026
Химики
@chemistrytg2021 · 31,680
Telegram ranks this channel #43 of 86 here — alongside 85 others — read 5 September 2026
Психология
@PsyEducation · 58,855
Telegram ranks this channel #45 of 95 here — alongside 94 others — read 22 August 2026

This channel appears in 36 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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.

“Лекториум” (@lektorium20), 114,433 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/lektorium20.

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.