Literature — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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.
Growth
26 measurements spanning 92 days, net +516. 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 8,520–9,655 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
5 Nov 2026, 18:16
9,206
-17
2 Nov 2026, 08:28
9,223
-32
30 Oct 2026, 01:28
9,255
-32
26 Oct 2026, 19:39
9,287
-39
23 Oct 2026, 16:55
9,326
-52
20 Oct 2026, 06:36
9,378
-40
17 Oct 2026, 10:30
9,418
-42
14 Oct 2026, 20:36
9,460
-64
11 Oct 2026, 08:37
9,524
+282
5 Oct 2026, 00:39
9,242
+65
25 Sept 2026, 19:22
9,177
-134
17 Sept 2026, 07:21
9,311
+77
12 Sept 2026, 22:40
9,234
+116
9 Sept 2026, 01:55
9,118
+155
3 Sept 2026, 20:36
8,963
-11
31 Aug 2026, 05:05
8,974
-66
28 Aug 2026, 01:13
9,040
-46
25 Aug 2026, 09:32
9,086
-121
22 Aug 2026, 17:55
9,207
+83
19 Aug 2026, 00:11
9,124
first reading
Engagement
36 posts held, back to 1 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 37 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.5%
avg views ÷ 9,206 subscribers
Avg views / post
1,150
8 posts measured
Reaction rate
1.48%
reactions ÷ views · ER floor
Posts in window
8
of 36 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
Window
Rolling 30 days · latest post in window 5 November 2026
Posts held
36 (1 August 2026 – 5 November 2026)
Views total
9,211
Reactions total
136
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 22:04 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
≈3,940
Videos
≈56
Links
≈2,770
Lifetime counters from Telegram’s own channel header, read 5 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
5m 06s
Average length
1m 42s
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
912 reactions across 35 posts, in 15 distinct kinds. The most used accounts for 50.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
461
50.5%
👍
142
15.6%
🔥
139
15.2%
😍
109
12.0%
🥰
12
1.32%
❤🔥
11
1.21%
💘
10
1.10%
💯
9
0.987%
🎉
5
0.548%
🙏
5
0.548%
👌
3
0.329%
🤗
3
0.329%
⚡
1
0.11%
💔
1
0.11%
🤝
1
0.11%
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 36 of the 36 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 929 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 36 most recent posts we hold, published 1 August 2026 to 5 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Advertising
Ad load
2.78%
1 of 36 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
32,300
over 1 measured post
Median views · rest
691
over 35 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
erid
Posts
First seen
Last seen
2W5zFJXXXtD
1
14 August 2026
14 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.
Measured over the 36 most recent posts we hold, published 1 August 2026 to 5 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: 2 of 8 posts held from the last 30 days (25.0%) 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).
💬 Чтобы стать профессиональным переговорщиком на уровне разведчиков или адвокатов с мировым именем, вам достаточно прочитать одну эту книгу.
В ней Чарльз Дахигг — журналист, лауреат Пулитцеровской премии и автор мировых бестселлеров — рассказывает о суперкоммуникаторах: людях, для которых договориться с агентом ЦРУ, рассерженной соседкой или бастующим рабочим так же легко, как сходить в магазин.
Благодаря этой книг…
🖋 Великие писатели, поэты и государственные деятели творили для публики и истории.
Но их личная переписка открывает совсем другую сторону: здесь нет литературных условностей — только обнаженная душа и подлинные чувства.
📖«Тысячи раз целую тебя. Великие истории любви в письмах» — сборник, в который вошли любовные письма Екатерины II, Александра Пушкина, Федора Достоевского, Антона Чехова, Ивана Тургенева, Генриха V…
👧🏻👦🏼 Как помочь детям справляться с ревностью, соперничеством и мирно решать любые конфликты?
📕 «Воспитание братьев и сестер» — книга, которая поможет родителям лучше понимать своих детей, укреплять доверие в семье и находить выход даже из самых непростых ситуаций.
Детский, подростковый и семейный психолог Екатерина Кес делится понятными объяснениями, реальными историями и практическими инструментами, которые помог…
Под струями горячей воды Матильда понемногу успокаивается. Мышцы плеч расслабляются, дыхание выравнивается. Да, в ресторане она потеряла самообладание, но этим утром и они перешли все границы. В течение долгих месяцев она терпеливо сносила их выходки, концентрируясь на главном — на пользе, которую принесет полученный опыт. Ее шеф — мастер своего дела, рядом с которым она всегда мечтала работать, — справедливый и поря…
1 ноября и мы по традиции обновляем обои 🍁
Вдохновитесь цитатами из книги «Все ответы внутри тебя».
С этой книгой вы узнаете как перестать бороться с собой и направить внутреннюю силу на исполнение желаний 💫
🕯 Подборка для тех, кто любит заглянуть за изнанку привычного.
Если хочется пощекотать нервы не просто страшилками, а настоящими историями, от которых по спине бегут мурашки.
Мы собрали книги, где наука встречается с самыми мрачными страницами истории, а человеческий разум предстаёт в своей пугающей и завораживающей глубине.
⏺Жуткие артефакты. История громких преступлений, рассказанная в 100 предметах убийств (зак…
«Умение видеть красоту — черта художника и мудрого человека»
Как человечество променяло искусство на маркетинг, содержание — на упаковку, смысл — на эффектность, а глубину — на модные тренды?
Размышляет режиссер Андрей Кончаловский в своей новой книге «Время не имеет цены. Разговоры об искусстве».
📰 Читайте здесь цитаты из книги.
🦋 Красота и хорошее самочувствие — это не про изнурительные диеты или дорогие процедуры, а про понимание своего тела.
Собрали книги, которые помогут: разобраться в гормонах, наладить сон, найти мотивацию к движению и сохранить естественную красоту.
🦋 Отдай себя в хорошие руки. Полное руководство по сохранению естественной красоты лица
🦋 Суперсила гормонов. Как поддерживать вес, тонус мышц, красоту и молодость в лю…
Осень — это идеальный момент спросить себя: а на что я хочу сделать ставку в ближайшие месяцы?
Собрали книжную подборку под разное осеннее настроение — выбирайте свой приоритет и пишите в комментариях!
Здоровье и красота:
📘 «Ваша красота зависит от мышц лица»
📘 «Практика долголетия»
Карьера:
📘 «Я научу тебя управлять деньгами»
📘 «Говорить, убеждать, вдохновлять»
Самовыражение и творчество:
📘 «Цвет, свет, компо…
Домашние блюда всегда ассоциируются у нас с теплом, уютом и комфортом.
С книгой «Семейные рецепты» к списку ассоциаций можно добавить — пользу, здоровье и долголетие.
Это уникальный сборник рецептов с комментариями нутрициолога, который научит готовить с заботой о себе и пониманием, как каждый ингредиент влияет на здоровье.
🍃 Не просто инструкции по приготовлению, а систему знаний: как выбирать продукты, сочетать …
«Поплакали, покакали» — это книга о том, как не убить друг друга с появлением младенца. Здесь есть все про реальные косяки, бытовой треш и неожиданные открытия.
А еще автор дает понятные объяснения, что делать, когда все идет не по плану. Спойлер: все идет не по плану почти всегда.
Внутри книги:
🍼топ-5 фраз, которые лучше не произносить при матери вашего ребенка (опасно для жизни);
🍼 гайд по выживанию в родзале, ч…
Обычный бисквитный торт может быть невероятным! 🤩 Только представьте — коржи влажные без пропитки, а начинки имеют кремовые, сливочные, фруктовые и хрустящие текстуры, как в самых изысканных десертах.
В нашей подборке авторы дают подробные рецепты восхитительных тортов и пирогов, делятся глубокими знаниями по теории и технологии их приготовления, чтобы самые обычные ингредиенты заиграли новыми вкусами!
🍰 Советские …
❤10😍5🔥4👍1
Showing the 12 most recent of 36 posts we hold for @chto_chitat. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 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.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Нет, это нормально @net_etonorm · 23,178 Telegram ranks this channel #3 of 97 here — alongside 96 others — read 20 September 2026
Папины сказки (official) аудиосказки :) @papiny_skazki_official · 92,948 Telegram ranks this channel #9 of 72 here — alongside 71 others — read 21 August 2026
Людмила Петрановская @lpetranovskaya · 166,773 Telegram ranks this channel #48 of 92 here — alongside 91 others — read 12 August 2026
Федиатрия @fediatrix · 53,916 Telegram ranks this channel #51 of 96 here — alongside 95 others — read 24 August 2026
Lil.School — онлайн-школа рисования @lilschool · 19,179 Telegram ranks this channel #70 of 88 here — alongside 87 others — read 2 October 2026
doctor_annamama @doctor_annamama · 82,347 Telegram ranks this channel #72 of 90 here — alongside 89 others — read 18 August 2026
Юлия Егорушкина о психологии @nesovetchik · 80,899 Telegram ranks this channel #83 of 87 here — alongside 86 others — read 18 August 2026
Заметки детского врача @DrButriy · 137,619 Telegram ranks this channel #83 of 95 here — alongside 94 others — read 13 August 2026
Шура, выручай! @shura_help · 34,546 Telegram ranks this channel #89 of 95 here — alongside 94 others — read 3 September 2026
Дневник доктора Белолипецкой @dr_belolipetskaia · 44,246 Telegram ranks this channel #90 of 90 here — alongside 89 others — read 27 August 2026
DocDeti & DocMed @docdeti_docmed · 62,965 Telegram ranks this channel #94 of 94 here — alongside 93 others — read 21 August 2026
This channel appears in 11 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“ЧТО ЧИТАТЬ” (@chto_chitat), 9,206 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/chto_chitat.
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.