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Channel

Лингвист

@Lingvaa

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts recorded as deleted · Polls · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

135,905subscribers

-2,649 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-1001650852549
TypeChannel
Username@Lingvaa
DescriptionКанал №1 для тех, кто звонИт, а не звОнит! Реклама — @manson_rek Реклама через биржу: https://telega.in/c/Lingvaa РМ: @Spiral_Miya РКН: https://clck.ru/3GLvAv
Created9 September 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/Lingvaa

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 88% 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 in near-verbatim form on 5 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
@Lingvaa/11014 · this entry29 Oct 2026, 05:01 UTC@realestate_inheritance/427429 Oct 2026, 15:00 UTC0.9710.0 hours
@Lingvaa/11039 · this entry1 Nov 2026, 19:03 UTC@realestate_inheritance/42932 Nov 2026, 15:01 UTC0.9620 hours
@Lingvaa/11044 · this entry2 Nov 2026, 19:03 UTC@realestate_inheritance/43023 Nov 2026, 17:03 UTC0.9622 hours
@Lingvaa/11050 · this entry4 Nov 2026, 05:03 UTC@realestate_inheritance/43165 Nov 2026, 17:03 UTC0.9636 hours
@Lingvaa/11013 · this entry28 Oct 2026, 19:00 UTC@realestate_inheritance/427629 Oct 2026, 17:02 UTC0.9622 hours
@Lingvaa/11045 · this entry3 Nov 2026, 05:02 UTC@realestate_inheritance/43003 Nov 2026, 14:04 UTC0.949.0 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@realestate_inheritance7 (7/7 hand-verifiable sample passed)0.9622 hoursthis entry (7–0)
@tim_philosophy7 (7/7 hand-verifiable sample passed)1.00under a minute@tim_philosophy (6–1)
@books_things6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (4–2)
@happiness_universe6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (5–1)
@psychopensia5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (3–2)

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. 11 of the 11 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 329 comparable posts for this entry, running 3 August 2026 to 10 November 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).

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 11 November 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.

Growth

135,905138,554137,229.56 August 202610 November 2026
64 measurements spanning 96 days, net -2,649. 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 135,508–138,951 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
10 Nov 2026, 07:56135,905-37
8 Nov 2026, 22:59135,942-30
7 Nov 2026, 18:21135,972-44
6 Nov 2026, 14:29136,016-28
5 Nov 2026, 14:07136,044-25
4 Nov 2026, 12:17136,069-22
3 Nov 2026, 14:38136,091-22
2 Nov 2026, 14:10136,113-19
1 Nov 2026, 13:26136,132-20
31 Oct 2026, 14:46136,152-28
30 Oct 2026, 12:59136,180-23
29 Oct 2026, 11:16136,203-26
28 Oct 2026, 12:36136,229-23
27 Oct 2026, 14:59136,252-35
26 Oct 2026, 13:50136,287-23
25 Oct 2026, 17:00136,310-12
24 Oct 2026, 16:35136,322-21
23 Oct 2026, 15:09136,343-10
22 Oct 2026, 12:40136,353-21
21 Oct 2026, 03:16136,374first reading

Engagement

531 posts held, back to 3 August 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 273 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.25%
avg views ÷ 135,905 subscribers
Avg views / post
5,780
158 posts measured
Reaction rate
2.13%
reactions ÷ views · ER floor
Posts in window
158
of 531 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 11 November 2026
Posts held531 (3 August 2026 – 11 November 2026)
Views total913,171
Reactions total19,418
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 11:10 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
≈4,500
Videos
≈23
Links
≈4,950

Lifetime counters from Telegram’s own channel header, read 11 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
1m 45s
Average length
21s

Measured directly from 5 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.

Reaction mix

69,842 reactions across 531 posts, in 4 distinct kinds. The most used accounts for 53.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍37,24553.3%
😁19,05027.3%
❤7,08710.1%
🤔6,4609.25%

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 531 of the 531 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 69,842 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 531 most recent posts we hold, published 3 August 2026 to 11 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.

Telegram Stars

Stars received
10
across the posts below
Posts paid on
5
of 531 we hold a reading for · 0.9%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Lingvaa. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 531 most recent posts we hold for this entry, published 3 August 2026 to 11 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Advertising

Ad load
0.377%
2 of 531 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
4,070
over 2 measured posts
Median views · rest
5,970
over 529 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
2Vtzqve9cFW18 October 20268 October 2026
2W5zFGUQtmx110 November 202610 November 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 531 most recent posts we hold, published 3 August 2026 to 11 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: 12 of 158 posts held from the last 30 days (7.59%) 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).

11 Nov 2026, 11:02 UTC291 views8 reactionsread 11 November 2026

Что такое «трын-трава»? 🌾 Выражение мы используем, когда хотим показать своё отношение к чему-либо как к пустому и не заслуживающему внимания. Существует версия, что «трын» здесь — это бывший «тын», то есть забор. Получается, трын-трава — трава подзаборная. Как известно, под забором обычно растут сорняки. В общем, ерунда. #фразеологизмы Лингвист

👍5😁3

11 Nov 2026, 06:00 UTC≈2,410 views16 reactionsread 11 November 2026
Photo

Подъезд или парадная? В Петербурге говорят «парадная», а приезжие вычисляются по этому слову за секунду. Но чтобы попасть в свою парадную, сначала надо выбрать дом. Тут в дело вступают застройщики и запускают программы, каких не было со времён льготной ипотеки. Например, однушка с готовым ремонтом в одной станции от центра. До метро 5 минут пешком, платёж 1 631 ₽/месяц. Это не льготная, не семейная и не IT-ипотека…

❤8👍4😁3🤔1

11 Nov 2026, 05:02 UTC≈2,620 views41 reactionsread 11 November 2026
Photo

Амни́стия Так называют массовое освобождение заключённых, приуроченное к важному празднику. Слово проиходит от греческого αμνηστία — «забвение, прощение». Порядок амнистии и её критерии утверждает глава государства. #словодня Лингвист

👍37❤4

10 Nov 2026, 17:11 UTC≈4,040 views82 reactionsread 11 November 2026

Что такое экслибрис? 🧐 Ex libris дословно означает «из книг» — так называют специальный знак, печать в книге, которая указывает на то, кому она принадлежит. Чаще всего экслибрис можно найти на форзаце, а выглядеть он может как угодно, но обычно это что-то вроде герба. Экслибрисы включают, как правило, геральдические элементы — ленты, щиты, символических животных и растения. Считается, что впервые экслибрисы появил…

👍62❤20

10 Nov 2026, 16:11 UTC≈4,070 views9 reactionsread 11 November 2026
Advertisementerid 2W5zFGUQtmxPhoto

📌 Открыта регистрация на VI Костомаровский форум! 18–20 ноября в Москве ведущие русисты со всего мира соберутся, чтобы определить: какие смыслы должны быть включены в изучение русского языка сегодня? 📎 В основе программы форума лежит классическая методическая триада: — Чему учить? Участники обсудят, каким должен быть учебник будущего в эпоху персонализированных траекторий; — Кого учить? Лекторы расскажут о специ…

👍9

10 Nov 2026, 15:02 UTC≈4,110 views104 reactionsread 11 November 2026
Photo

#юмор Лингвист

😁95❤9

10 Nov 2026, 13:11 UTC≈3,990 views81 reactionsread 11 November 2026
Photo

Дремо́та / дремота́ — как правильно? Говорить правильно дремо́та — с ударением на «о». Слов наподобие дремоты — с суффиксом -от (а) и образованных от глаголов — немного. Перечислим их: блевота, дремота, зевота, икота, ломота, маета, пахота, перхота (першение в горле), позевота, потягота, рвота, рыгота, сипота (сиплость), тошнота, харкота, хрипота, чихота. #поспорим Лингвист

👍43🤔20😁11❤7

10 Nov 2026, 12:11 UTC≈4,140 views4 reactionsread 11 November 2026
Video

Сидела в кафе, услышала разговор двух сотрудниц Золотого Яблока... 🤦🏻‍♀️ Они обсуждали, как дурят народ на распродажах. Типа клеят желтый ценник, а цена всё равно выше закупа в 5 раз. И одна другой говорит: «Я себе вообще всё в Квине беру, нафиг мне наша скидка сотрудника, там всё равно дороже». Я не поленилась, 2 часа копалась и отрыла этот Квин. Оказалось, так магазин называется — PARFUM QUEEN Ребята, это разно…

🤔2❤1👍1

10 Nov 2026, 10:23 UTC≈4,180 views104 reactionsread 11 November 2026
Poll

Как правильно?

  1. в отличие от некоторых60%
  2. в отличии от некоторых40%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

👍79🤔25

10 Nov 2026, 09:11 UTC≈4,370 views59 reactionsread 11 November 2026

«Мутить воду»: что это значит? 🌊 Выражение означает «говорить неправду, обманывать, хитрить». Часто оно употребляется по отношению к мошенникам, которые достигают своих целей нечестными методами. Считается, что источником появления выражения стали житейские наблюдения: рыбаки специально поднимали со дна ил с помощью палки, делая воду мутной, чтобы рыба не заметила сетей и попалась в них. #фразеологизмы Лингвист

👍51❤8

10 Nov 2026, 05:02 UTC≈4,840 views94 reactionsread 11 November 2026
Photo

Шемизе́тка Так раньше называли женские блузы и манишки — вставки на груди женских блузок и платьев. Слово происходит от французского chemise — «рубашка». Теперь, читая книги, вы сможете представить, во что наряжались тургеневские барышни. #словодня Лингвист

👍74❤16😁4

Showing the 12 most recent of 531 posts we hold for @Lingvaa. 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 116 posts on @Lingvaa 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
7 August 2026
Most recent seen missing
11 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
41

Polls

The 6 most recent of 100 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

10 Nov 2026, 10:23 UTCAnonymous Quiz2,130 voters approx.

Как правильно?

  1. в отличие от некоторых60%
  2. в отличии от некоторых40%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

9 Nov 2026, 12:03 UTCAnonymous Quiz2,770 voters approx.

Как правильно?

  1. По немногу10%
  2. Понемногу68%
  3. По-немногу22%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

8 Nov 2026, 14:04 UTCAnonymous Quiz2,830 voters approx.

Как правильно?

  1. Сняли римейк22%
  2. Сняли ремейк78%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

7 Nov 2026, 12:02 UTCAnonymous Quiz3,130 voters approx.

Как правильно?

  1. тОрты90%
  2. тортЫ7%
  3. Допустимы оба варианта3%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

6 Nov 2026, 12:03 UTCAnonymous Quiz2,980 voters approx.

Как правильно?

  1. шпаКлёвка33%
  2. шпаТлёвка52%
  3. Допустимы оба варианта15%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

5 Nov 2026, 12:00 UTCAnonymous Quiz2,810 voters approx.

Как правильно?

  1. Сбоку припека65%
  2. Сбоку-припека35%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 531 most recent posts we hold, published 3 August 2026 to 11 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 3 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.

Names

Channels on the register whose handles appear in this channel's posts.

РетроГрадЪ
@retro_gradd · 92,325
3 posts
Основы жизни
@life_osnov · 100,671
2 posts
Совершенный организм
@sov_org · 86,956
2 posts
@andrey_kot
@andrey_kot · 5
1 post
Азат валеев
@azatmale02 · 6,077
1 post
Москва для детей • Афиша
@detstvo_msk · 403,695
1 post
Егор Бонд | Математика ЕГЭ | Сансара
@egorbond_math · 974
1 post
Психолог без лицензии
@fakepsy · 652
1 post
Переход по ссылке
@gotoChannelBot · 128,480
1 post
Вредный корректор
@julia_v_redcor · 19,957
1 post
Лидерство | Мотивация
@liderstv0 · 37,498
1 post
manip_psychology
@manip_psychology · 50
1 post
МАРИЯ ЛОГВИНОВА | Радикальная женственность
@Marialogvinovaofficial · 31,172
1 post
moskovsky!
@msky_media · 1,210,347
1 post
Мудрые строки
@mudr_str · 84,251
1 post
Не перепутай!
@nepereputai · 86,846
1 post
Открытые письма | Литература
@open_letters · 40,857
1 post
Влад Пурвиньш
@other_digital_bot · 22,692
1 post
Кованые ножи Петровича
@petrovich_knives · 19,089
1 post
Повестка правды
@povestka_pravdy · 330
1 post
Психолог Жора
@psihzh · 212,397
1 post
Аналитик Разума | Психология | Саморазвитие | Отношения | Блог
@psycho_analitik · 117,187
1 post
Психология отношений
@Psychologs · 210,571
1 post
Вечная философия
@tim_philosophy · 67,117
1 post

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.

Грамотная речь | Саморазвитие
@gramotnaya_rech · 171,610
#1
Где твои манеры? • Этикет
@etiketmaneri · 75,565
#2
Записки редакторки
@zapiski_redaktorki · 93,608
#3
Русский язык | Грамотность
@ruGrammar · 120,322
#4
Артемий Лебедев
@temalebedev · 968,108
#5
Лексикона | Образование
@lexicona · 280,070
#6
Не перепутай!
@nepereputai · 86,846
#7
Вредный корректор
@julia_v_redcor · 19,957
#8
Умный Брокколь | Грамотность
@brokoledu · 42,709
#9
Fucking English | Английский 18+
@fuckingenglish · 307,122
#10
Сладкая речь
@SladkayaRech111 · 17
#11
Что-то на грамотном
@nagramotnom · 5,165
#12
Раньше всех. Ну почти.
@bbbreaking · 1,975,436
#13
Мир сегодня с "Юрий Подоляка"
@yurasumy · 2,662,248
#14
Новости Москвы
@moscowmap · 2,622,185
#15
Ещё главу и спать | Литература
@knigi_literatura · 257,764
#16
Москвач • Новости Москвы
@moscowach · 3,872,110
#17
Осторожно, новости
@ostorozhno_novosti · 1,621,101
#18
Кровавая барыня
@bloodysx · 1,172,884
#19
Readovka
@readovkanews · 2,012,342
#20
ЕЖ
@ejdailyru · 664,380
#21
Лука Ебков
@luka_ebkov · 429,055
#22
КОНТЕКСТ
@kontext_channel · 865,039
#23
НЕБОЖЕНА
@imnotbozhena · 503,492
#24
Tynu40k Goblina (oper.ru)
@oper_goblin · 490,249
#25
ТАСС
@tass_agency · 569,137
#26
Стрелец-Молодец
@strelets_molodec · 348,852
#27
Город Глуповъ
@gorodglupov · 153,299
#28
Пул N3
@dimsmirnov175 · 330,919
#29
Дмитрий Медведев
@medvedev_telegram · 1,688,832
#30
Резидент
@rezident_ua · 956,216
#31
МИГ России
@mig41 · 476,724
#32
Бочарик (ага, тот самый)
@botcharov · 209,248
#33
Москва сегодня
@moscow · 2,788,929
#34
ЮЛИЯ МЕНЬШОВА
@JuliaMenshovaJulia · 355,259
#35
Захар Прилепин
@zakharprilepin · 221,419
#36
Мой город — Москва
@mskmycity · 199,251
#37
Zлой Пруф️
@proofzzz · 605,158
#38
Вечная философия
@tim_philosophy · 67,117
#39
Саваничи 🇷🇺
@savanichi · 192,598
#40
Дорогая Хурма
@expensive_hurma · 151,014
#41
Антиглянец
@sncmag · 299,576
#42
Kotsnews
@sashakots · 469,475
#43
Мане или Моне?
@maneormone1 · 85,067
#44
Профессор смотрит в мiръ. Авторский Анонимный канал Дмитрия Евстафьева
@dimonundmir · 205,226
#45
Голос Мордора
@golosmordora1 · 147,808
#46
Старше Эдды
@vysokygovorit · 485,001
#47
Сладков+
@sladkov_plus · 692,737
#48
МАРДАН
@mardanaka · 208,266
#49
Украина.ру
@ukr_2025_ru · 493,876
#50
ШАХНАЗАРОВ
@iikhu · 152,456
#51
Nothing Book | Искусство
@kartiny_muzei_zhivopis · 121,032
#52
Маргарита Симоньян
@margaritasimonyan · 505,466
#53
Ирена Понарошку
@irena_ponaroshku · 279,168
#54
Stretch | Растяжка | Шпагат
@StretchLab · 152,565
#55
ZERGULIO
@SergeyKolyasnikov · 443,879
#56
Психолог Жора
@psihzh · 212,397
#57
Коммерсантъ
@kommersant · 295,286
#58
Kadyrov_95
@rkadyrov_95 · 2,026,626
#59
Москва сейчас
@mosnow · 431,280
#60
Bohemia of Postmodernism | Культура
@kartiny_art_iskusstvo · 63,867
#61
Сергей Минаев
@minaevlife · 317,610
#62
Война с фейками
@warfakes · 364,065
#63
Орда
@orda_mordora · 161,150
#64
Хроники Москвы
@mskhronika · 35,702
#65
Петербургские истории 🎞
@piter_places · 44,745
#66
НЕЗЫГАРЬ
@russicaru · 417,710
#67
Цыпкин/Tsypkin
@tsypkintherealone · 101,910
#68
Mash
@mash · 3,140,033
#69
Baza
@bazabazon · 1,557,057
#70
СОЛОВЬЁВ
@solovievlive · 1,113,787
#71
Жизнь в дневниках
@tsitaty_dnevniki_stikhi · 164,537
#72
Colonelcassad
@boris_rozhin · 750,635
#73
ARTерия | Искусство
@kartiny_arteriart · 160,686
#74
РБК. Новости. Главное
@rbc_news · 913,555
#75
Коза кричала
@kozakrichala · 181,638
#76
Мария Захарова
@mariavladimirovnazakharova · 458,003
#77
Fighterbomber
@bomber_fighter · 525,130
#78
Тут картины показываем
@artgallery · 193,598
#79
Старая Москва
@old_Moscow · 133,659
#80
НеМалахов
@nemalahov · 126,047
#81
Политджойстик / Politjoystic ™
@politjoystic · 250,548
#82
Открытые письма | Литература
@open_letters · 40,857
#83
Минобороны России
@mod_russia · 649,746
#84
СОБЧАК
@ksbchk · 381,288
#85
Олег Царёв
@olegtsarov · 401,214
#86
Афоризмы | Литература | Книги | Стихи
@AphorismTG · 106,760
#87
Płótno
@kartiny_zhivopis_galereya · 84,993
#88
Vladimir Pastukhov
@v_pastukhov · 151,967
#89
Поддубный |Z|О|V| edition
@epoddubny · 568,057
#90

Read from Telegram’s recommendation API, most recently 13 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.

Где твои манеры? • Этикет
@etiketmaneri · 75,565
Telegram ranks this channel #1 of 71 here — alongside 70 others — read 19 August 2026
Русский язык | Грамотность
@ruGrammar · 120,322
Telegram ranks this channel #1 of 90 here — alongside 89 others — read 14 August 2026
Грамотная речь | Саморазвитие
@gramotnaya_rech · 171,610
Telegram ranks this channel #1 of 86 here — alongside 85 others — read 12 August 2026
Антиэйдж Хаб | как сохранить молодость
@goyazikoved1 · 24,902
Telegram ranks this channel #2 of 66 here — alongside 65 others — read 13 September 2026
Умный Брокколь | Грамотность
@brokoledu · 42,709
Telegram ranks this channel #2 of 96 here — alongside 95 others — read 28 August 2026
Лексикона | Образование
@lexicona · 280,070
Telegram ranks this channel #3 of 75 here — alongside 74 others — read 11 August 2026
Приступ вежливости
@etiquette_pv · 29,198
Telegram ranks this channel #4 of 65 here — alongside 64 others — read 8 September 2026
Культура речи
@kulture_rechi · 23,217
Telegram ranks this channel #5 of 68 here — alongside 67 others — read 18 September 2026
Вредный корректор
@julia_v_redcor · 19,957
Telegram ranks this channel #7 of 93 here — alongside 92 others — read 29 September 2026
Записки редакторки
@zapiski_redaktorki · 93,608
Telegram ranks this channel #7 of 96 here — alongside 95 others — read 16 August 2026
Русский язык и Литература
@knigarf · 18,820
Telegram ranks this channel #8 of 86 here — alongside 85 others — read 4 October 2026
Правила приличия I Саморазвитие
@prav_etiketa · 43,006
Telegram ranks this channel #9 of 62 here — alongside 61 others — read 28 August 2026
Учитель русского | Русский язык
@teacherus · 34,718
Telegram ranks this channel #10 of 94 here — alongside 93 others — read 3 September 2026
Русские пословицы | Правописание
@pos_lov · 40,785
Telegram ranks this channel #11 of 60 here — alongside 59 others — read 30 August 2026
Дневник Академика Павлова | Саморазвитие
@academicpavlov · 112,515
Telegram ranks this channel #11 of 69 here — alongside 68 others — read 14 August 2026
Real English. Таня Маркова
@bk_gko · 44,576
Telegram ranks this channel #21 of 92 here — alongside 91 others — read 27 August 2026
Мане или Моне?
@maneormone1 · 85,067
Telegram ranks this channel #23 of 81 here — alongside 80 others — read 18 August 2026
prostyazikom
@prostyazikom · 15
Telegram ranks this channel #26 of 74 here — alongside 73 others — read 31 August 2026
Ещё главу и спать | Литература
@knigi_literatura · 257,764
Telegram ranks this channel #26 of 92 here — alongside 91 others — read 10 August 2026
Поэзия полу́ночи | Литература
@midnight_poetry · 39,158
Telegram ranks this channel #27 of 66 here — alongside 65 others — read 30 August 2026
Во вкусе не откажешь
@vo_vkus · 59,291
Telegram ranks this channel #28 of 88 here — alongside 87 others — read 22 August 2026
Мысли великих | Литература | Саморазвитие
@mysli_literature · 65,457
Telegram ranks this channel #30 of 64 here — alongside 63 others — read 21 August 2026
Вечная философия
@tim_philosophy · 67,117
Telegram ranks this channel #34 of 77 here — alongside 76 others — read 20 August 2026
Мудрые строки
@mudr_str · 84,251
Telegram ranks this channel #38 of 65 here — alongside 64 others — read 18 August 2026

This channel appears in 44 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Лингвист” (@Lingvaa), 135,905 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/Lingvaa.

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.