Telegram RegisterThe public register of Telegram

Channel

чердак с историями | книги 18+

@yacherdak

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

52,623subscribers

+133 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001415142314
TypeChannel
Username@yacherdak
Created13 January 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/yacherdak

Topic

Literature — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (3 of the pairs behind the counts below)
Posted firstThenOverlapGap
@predzakazknig/218225 Aug 2026, 10:01 UTC@yacherdak/69582 · this entry5 Aug 2026, 10:01 UTC1.00under a minute
@predzakazknig/218265 Aug 2026, 10:05 UTC@yacherdak/69586 · this entry5 Aug 2026, 10:05 UTC1.00under a minute
@predzakazknig/218325 Aug 2026, 14:44 UTC@yacherdak/69602 · this entry5 Aug 2026, 14:45 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@predzakazknig12 (8/8 hand-verifiable sample passed)1.00under a minute@predzakazknig (120)

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 3 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 29 comparable posts for this entry, running 5 August 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 @predzakazknig. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 8 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

52,49052,64852,5696 August 2026 — 52,490 subscribers6 August 2026 — 52,490 subscribers7 August 2026 — 52,517 subscribers8 August 2026 — 52,560 subscribers9 August 2026 — 52,583 subscribers10 August 2026 — 52,611 subscribers11 August 2026 — 52,620 subscribers12 August 2026 — 52,637 subscribers13 August 2026 — 52,648 subscribers14 August 2026 — 52,640 subscribers15 August 2026 — 52,623 subscribers52,6236 August 202615 August 2026
11 measurements spanning 10 days, net +133. 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 52,466–52,672 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 16:4652,623-17
14 Aug 2026, 07:0652,640-8
13 Aug 2026, 01:5552,648+11
12 Aug 2026, 01:0352,637+17
11 Aug 2026, 02:5152,620+9
10 Aug 2026, 05:2052,611+28
9 Aug 2026, 02:1252,583+23
8 Aug 2026, 03:2052,560+43
7 Aug 2026, 03:5552,517+27
6 Aug 2026, 04:0052,490no change
6 Aug 2026, 03:4752,490first reading

Engagement

82 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.45%
avg views ÷ 52,623 subscribers
Avg views / post
4,440
82 posts measured
Reaction rate
2.83%
reactions ÷ views · ER floor
Posts in window
82
of 82 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 81 of 82 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 12 August 2026
Posts held82 (5 August 202612 August 2026)
Views total364,430
Reactions total10,309
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 07:03 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

Video runtime
4m 03s
Average length
1m 21s

Measured directly from 3 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

8,899 reactions across 74 posts, in 18 distinct kinds. The most used accounts for 41.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3,64541.0%
❤‍🔥2,34926.4%
🔥1,13912.8%
👎6687.51%
🍓3684.14%
💘2492.80%
💔1691.90%
😭911.02%
👍470.528%
🦄380.427%
🎉300.337%
💋290.326%
🐳220.247%
160.18%
💯140.157%
🍾120.135%
80.09%
🤗50.056%

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 81 of the 82 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 10,309reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 82 most recent posts we hold, published 5 August 2026 to 12 August 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.

Advertising

Ad load
41.5%
34 of 82 posts carry an ad marker
Regulatory tokens
34
posts carrying an erid · 33 distinct tokens
Median views · ads
3,850
over 34 measured posts
Median views · rest
5,170
over 48 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. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2W5zFGJ2iH727 August 202610 August 2026
2W5zFFvFmaR19 August 20269 August 2026
2W5zFFy82ss16 August 20266 August 2026
2W5zFG7f8nd17 August 20267 August 2026
2W5zFG83e4119 August 20269 August 2026
2W5zFGP1Ews110 August 202610 August 2026
2W5zFGUoTzq19 August 20269 August 2026
2W5zFGViCc117 August 20267 August 2026
2W5zFGekXLM17 August 20267 August 2026
2W5zFGgHsWR110 August 202610 August 2026
2W5zFGkYQuP17 August 20267 August 2026
2W5zFGka3so110 August 202610 August 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. 21 further tokens are held for this entry and not listed here.

Measured over the 82 most recent posts we hold, published 5 August 2026 to 12 August 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

12 Aug 2026, 06:00 UTC≈2,040 views67 reactionsread 12 August 2026
Photo

#книги2026 #права #эксмо РЕЛИЗЫ КНИГ НА РУССКОМ Издательство Эксмо приобрело права на первую книгу цикла «Played by the Piper» Рейвен Кеннеди — «The Sweetest Fiend». 💰вынужденная близость 💰похититель / пленница 💰только одна кровать... и лошадь... и палатка 💰"кто причинил тебе боль?" Наш мир раскололся, как яйцо. Наружу вырвалась сила, а с ней и девять чудовищных существ, известных как Бэйны, готовых уничтожить вс

43❤‍🔥20🔥4

12 Aug 2026, 04:41 UTC≈2,760 views58 reactionsread 12 August 2026
Advertisementerid 2W5zFHSyFSHForwarded from @predzakazknigPhoto

#купить #читайгород #руазия #городскоефэнткзи ОТКРЫТ ПРЕДЗАКАЗ Сора Наумова, Мария Дубинина «Момотаро. Демоны Нью-Токио» 📚 предзаказ в читай-городе Однотомник, помещающий легенду о Момотаро в Японию недалекого будущего. Реклама. Рекламодатель ООО «Новый Книжный Центр». ОГРН 1027700282763

26❤‍🔥22🔥5👎4💘1

12 Aug 2026, 04:34 UTC≈3,100 views183 reactionsread 12 August 2026
Photo

🎬 Николас Холт получил роль Златопуста Локонса (Гилдерой Локхарт) во втором сезоне в сериале «Гарри Поттер». #экранизации #гаррипоттер 💙 чердак с историями в ВК

🔥11855❤‍🔥8💘2

12 Aug 2026, 03:56 UTC≈3,370 views55 reactionsread 12 August 2026
Photo

🎬 Amazon приобрел права на экранизацию цикла книг «The Bourbon Boys» Victoria Wilder в формате сериала. В Фиаско, штат Кентукки, есть одно правило — никогда не влюбляйтесь в братьев Фокс. Любая женщина, которая это делала, в конечном итоге умирала — по крайней мере, так гласит молва. Горожане называют это проклятием. Я уже прошел через это, и вряд ли переживу снова. #экранизации #викторияуайлдер #бурбонныепарни 💙

36💘14❤‍🔥5

11 Aug 2026, 21:16 UTC≈5,070 views153 reactionsread 12 August 2026
Photo

🎬 Первые фотографии со съемок экранизации романа «Что случилось этим летом» по роману Тессы Бейли. #экранизации #тессабейли #чтослучилосьэтимлетом 💙 чердак с историями в ВК

🍓64🔥4126❤‍🔥18💋3💘1

11 Aug 2026, 16:49 UTC≈2,870 views81 reactionsread 11 August 2026
Advertisementerid 2W5zFH6BPcVForwarded from @predzakazknigPhoto

#купить #читайгород #постапокалипсис В ПРОДАЖЕ Ри Гува «Серый лес» 📚 приобрести в читай-городе 💫 промокод: ПЕРСИК до 31.08 скидка 25% на заказы от 2000 рублей ★ каноничное черно-белое оформление с закрашенным обрезом ★ мир после катастрофы: зараженные мутанты, враждующие общины и новые города за стенами ★ постапокалипсис без героического лоска — жестокий и беспощадный ★ морально серые герои, опасные союзы и тайны

🔥33❤‍🔥1715👎9💔6😭1

11 Aug 2026, 16:22 UTC≈2,110 views53 reactionsread 11 August 2026
Advertisementerid 2W5zFK72KCuForwarded from @predzakazknigPhoto

#купить #читайгород #городскоефэнтези ОТКРЫТ ПРЕДЗАКАЗ Кассандра Клэр «Город потерянных душ» 📚 предзаказ в читай-городе Реклама. Рекламодатель ООО «Грамота». ОГРН 1027700282763

34❤‍🔥13🤗4💔2

11 Aug 2026, 16:22 UTC≈2,070 views60 reactionsread 11 August 2026
Advertisementerid 2W5zFHGHYQ1Forwarded from @predzakazknigPhoto

#купить #читайгород #ромфэнтези ОТКРЫТ ПРЕДЗАКАЗ Керри Манискалко «Трон кошмаров» 📚 предзаказ в читай-городе Реклама. Рекламодатель ООО «Грамота». ОГРН 1027700282763

❤‍🔥4317

11 Aug 2026, 16:22 UTC≈2,230 views48 reactionsread 11 August 2026
Advertisementerid 2W5zFK9zdFXForwarded from @predzakazknigPhoto

#купить #читайгород #ромфэнтези ОТКРЫТ ПРЕДЗАКАЗ Джейн Ленор Вампа «Изгнание фейри» 📚 предзаказ в читай-городе Для всех любителей мрачного сеттинга, слоуберна, тайных обществ и загадочных эпидемий. Реклама. Рекламодатель ООО «Грамота». ОГРН 1027700282763

❤‍🔥34👎4💔43😭2🔥1

11 Aug 2026, 13:41 UTC≈5,310 views120 reactionsread 11 August 2026
Video

🎬 Трейлер экранизации дилогии Мерседес Рон «Столкновение» («Слоновая кость»). Мировая премьера фильма состоится 09.09.2026 года Главные роли исполнят: Эстер Экспосито и Хьюго Диего Гарсия. #экранизацииЧердака #мерседесрон #слоноваякость 💙 чердак с историями в ВК

❤‍🔥6836🔥16

11 Aug 2026, 13:25 UTC≈5,710 views196 reactionsread 11 August 2026
Video

🎬 Трейлер экранизации романа Колин Гувер «Тайный дневник Верити». Премьера фильма состоится 02.10.2026 года. В главных ролях: Энн Хэтэуэй, Джош Хартнетт и Дакота Джонсон. #экранизации #тайныйдневникверити 💙 чердак с историями в ВК

❤‍🔥11053👍19💘7🔥4🍾2👎1

11 Aug 2026, 12:01 UTC≈5,950 views209 reactionsread 11 August 2026
Photo

🎬 Испанский трейлер фильма «Твое сердце будет разбито», являющегося экранизацией одноименного романа Анны Джейн. #экранизации #аннаджейн #твоесердцебудетразбито 💙 чердак с историями в ВК

111👎52🔥24❤‍🔥9💘5🐳3👍2💋2

Showing the 12 most recent of 82 posts we hold for @yacherdak. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 670 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Книжности - дневник моргенмуфеля 18+
@knizhnosti · 1
4 posts
Э. Фео
@eleonorafeo · 751
3 posts
Посиделки у рыжего котика🐈
@gatheringsatthecat · 12
3 posts
~Мемуары одной котьки~
@mermaiddiary96 · 15
3 posts
Виски арт✨
@whiskey_art_show · 886
3 posts
Здрасьте, приехали! 18+
@zdraste_priehali_kot · 97
3 posts
𝒂𝒏𝒈𝒆𝒍𝒊𝒄 ‎ꫂ᭪݁
@angelics1 · 134
2 posts
Детстория
@detstoriaru · 5
2 posts
Бегущая по строкам📚
@ierobooks · 143
2 posts
книжная содержанка
@knizhnayasoderzhanka · 406
2 posts
Марыся
@maruuusiaaaa8 · 3
2 posts
MaryDey
@marydeyli · 15
2 posts
Книги в самое сердце❤️
@myloveisbooks · 51
2 posts
uniquely portable magic
@portablemagic · 12
2 posts
Тан Е ♡ книжный дизайнер
@Tan_E_books · 324
2 posts
мелодия книг🧸
@themelodyofbooks · 7
2 posts
Хроники книгини 🌸
@venera_bookstagram · 767
2 posts
𝑊𝑖𝑡𝑐ℎ 𝑜𝑓 𝑏𝑜𝑜𝑘𝑠 ꨄ︎
@Witchofbookss · 3,722
2 posts
жень шень читает
@zhenshenisreading · 1,198
2 posts
Алина Брюс | «Дремеры»
@alina_bruce_writer · 129
1 post
🪶Ворчливая Алконост📚
@alkonost_books · 82
1 post
Амели о книгах 📚
@amelibook · 1,317
1 post
Ана Коро | 📚⚔️
@AnaKoro · 134
1 post
Аннэт читает
@annetbooks · 395
1 post
Эшли Хэшброу | Книги 18+
@ashleyhashbrow · 4,593
1 post
Астерия Роу ❣️
@asteriarow_books · 740
1 post
📚Ⲃⲁⲃⲁ Ⲩⲁⳋⲁ🔞
@babayagabooks · 356
1 post
Библиологиня | Книжный блог
@bibliologinya · 215
1 post
Geek_girlfriend 👾 и её Книжный Эль | 📚 |
@book_elle · 123
1 post
Твои книги 📚
@bookhousesss · 249
1 post
Книжный господин 18+
@booksloveyan · 117
1 post
Books Nooks 18+
@booksnooks · 6,382
1 post
Книжная полка ксю🌺
@booktokk · 392
1 post
Элис Кларк | Nicky_bookaholic | Bookworm`s place
@bookworms_place · 4,408
1 post
Клуб любителей книг💌
@cindrellaland · 557
1 post
Даша Апрель | между строк 18+
@danionthemoon · 341
1 post
хтонический недосып Дары
@dararonan · 109
1 post
Там, где Ди 🩵
@di_roff · 566
1 post
Читательский дневник Лу
@dnevnik_lu · 25
1 post
dramione is forever in our hearts
@dramioneeis · 2,073
1 post
easysasha за чтением
@easysasharead · 9,936
1 post
Ebalala читает 🤞
@ebalalachitaet · 29
1 post
Утопленники. ~
@elizabethgauss · 582
1 post
Нотная тетрадь, полная слов | Ешь, спи, пиши 🤍
@EMakarovaESW · 52
1 post
Анна Ильина | EngWridan
@engwridan · 82
1 post
фэнтези на диване
@fanoncouch · 136
1 post
Заметки фантазера 🤍
@fantazer_zametki · 220
1 post
Флекся плачет о книгах🦄
@flexyabooks · 42
1 post
Фнабляндия
@FnablEW · 10
1 post
(Рест) На пикнике с Лисичкой
@fox9709 · 119
1 post
Фрейграф, но можно просто Рэй
@freigraf_masked · 115
1 post
Верховная Гор
@gor_cake_fm · 8,560
1 post
Граф бухтит
@graf_fiction · 13,449
1 post
стᴘᴀдᴀю, но читᴀю ᴘʏсскии слᴘ
@hatersgonnahate0 · 5
1 post
Ирэн Эдмер: книги по любви
@irenedmer · 206
1 post
JOCKEY
@jockey_art · 1,175
1 post
Юль, читай!
@juliamustread · 4,398
1 post
бурчу на книги
@kaketochitatto · 78
1 post
Катерина Кавалье
@Katherine_Cavallier · 6,621
1 post
chapter.one
@kats_books · 92
1 post
за одну жизнь - тысячи жизней 📚
@kellerbook · 1,162
1 post
китишка о книгах ||🤲🏻
@kittishkabooks · 20
1 post
Книги и жизнь Насти 📚
@kniginastya_life · 364
1 post
Уже не младший!
@konsummers · 359
1 post
Кофейная полка
@kristinacoffeebook · 2,720
1 post
Читаем с кутуз📚💕
@kutuzbook · 419
1 post
Лиа Вампи: коты, книги и Петербург
@lia_vampi_reads · 39
1 post
Лина Винчестер💜
@Lina_Winchester · 11,568
1 post
Lizzie’s library🧚🏻
@lizzies_library · 866
1 post
𝐌𝐀𝐃𝐋𝐎𝐕𝐄𝐁𝐎𝐎𝐊𝐒💜
@madlovebooks1 · 14,265
1 post
Волшебная полочка✨
@magicbookshelf20 · 118
1 post
Книжная лавка Белль
@mapache_mapache · 445
1 post
Макеевщина|Марика Макей
@marika_makey_tg · 578
1 post
☕️ ʍиᴧᴋиᴄ
@melany_80 · 65
1 post
Мэня пробует книги 18+
@minyabook · 542
1 post
Лунные читатели | Luna Allen
@moonreards · 5,128
1 post
Настя вошла в чат…
@nastyaabooks · 8,131
1 post
Нелепый домик | Фрейграф Оллард Манн
@nelepiy_domik · 153
1 post
Nicki.li
@nickilibert · 7,020
1 post
Записная книжка Судьбы
@notebook_of_sudba · 17
1 post
нуря делает смысл
@nursanur · 1,112
1 post
Ита и переводы
@orlovs_moustache · 360
1 post
Мастерская Эйприл
@PochtaDaskov · 37
1 post
Алиса Джукич - твой личный космос | Автор ❤️ЭКСМО💥 Freedom
@printz_lda_i_krovi · 15,253
1 post
Про буквы | Ольга Раудина | Шёпот русалки
@pro_bukvy · 171
1 post
Звезды Лисы Эстерн | Писательница ✨
@pudingovgraff · 83
1 post
Чтец иллюзий 🔞
@readerofillusions · 913
1 post
Юля о страницах || julbook🐈‍⬛
@ReadingwithJulia · 2,771
1 post
rᥱfᥙgᥱ ɗᥱs rê᥎ᥱs🩷
@refugedesreves · 73
1 post
Риа Камомиру | Обитель лжи и секретов
@ria_pisatel · 410
1 post
лински пински
@riolinskii · 4,812
1 post
The Reading Room 📖📚🎬
@roseville0712 · 30
1 post
scaandlle
@scaandlle · 1,745
1 post
Кать, че посмотреть?👀
@shaforostik_khv · 180
1 post
Алена Шахнина | Записки писателя
@shahnina_alena_avtor · 81
1 post
Рожденная книгами | Ангелина
@shamanbooksss · 3,310
1 post
Чёрная изба / Лунёва / Колмакова
@shamanskaya_diktatura_i_vse_tut · 149
1 post
Шепот осколков калейдоскопа// Заугольная Оксана// Майя Сотис
@shhhepot · 605
1 post
Пандора в мире книг📚
@shkiper_reads · 2,397
1 post
Sibb.ell🕷️
@sibbelxd · 34
1 post
Смородинка о книгах 📚
@smorodinka_books · 4,974
1 post
Камила Соколова | Автор
@Snachala10stranic · 1,134
1 post
𝗕𝗼𝗼𝗸𝗶𝘀𝗵 𝗟𝗮𝗱𝘆'𝘀
@sneelanbook · 183
1 post
Софи Анри | Автор 📖
@sofianri · 22,417
1 post
stichbooks
@stichbooks · 1,867
1 post
sunshinebook11
@sunshinebook11 · 442
1 post
📚 Свалка Каина 18+ 📚🪶
@svalka_kain_r · 204
1 post
Свободные страницы
@Svobodnye_Str · 965
1 post
Таня Нордсвей 💜 Автор
@tania_nordsway · 3,625
1 post
Тайлоран 🌿🌪
@Tayloranw · 95
1 post
с нежностью, энни 🎀
@tempbk · 941
1 post
♡ Тина Рун ♡ | Книжный блог
@tinarun · 4,688
1 post
tu.vellichor / книги и медицина
@tuvellichor · 257
1 post
Уставшая фея🧚🏽‍♀️
@ustavshaifea · 931
1 post
Архивы Бенедетты
@velll1chor · 110
1 post
Мысли вслух🖤
@vsluh30 · 358
1 post
Белая Гвардия | книги 💛
@whitegwardia · 112
1 post
Эскапизм или я ненавижу реальность 📖
@wileriebooks · 133
1 post
Царство греха и света️ 🥀 18+
@your_dream_in_books · 8,820
1 post
Чертоги Фаер Харт
@yourfieryheart · 1,934
1 post
📚🌲
@zapax_straight · 97
1 post

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 44 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Читай-город
@chitai_gorod_official · 144,943
Telegram ranks this channel #1 of 81 here — alongside 80 others — read 13 August 2026
персик
@anthonyuly · 234,442
Telegram ranks this channel #28 of 73 here — alongside 72 others — read 11 August 2026
Яндекс Книги
@booksyandex · 146,742
Telegram ranks this channel #60 of 97 here — alongside 96 others — read 13 August 2026
Midjourney Креативы
@midjourney_home · 155,156
Telegram ranks this channel #91 of 94 here — alongside 93 others — read 12 August 2026

This channel appears in 4 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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“чердак с историями | книги 18+” (@yacherdak), 52,623 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/yacherdak.

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.