Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 48% 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.
Growth
32 measurements spanning 42 days, net -814. 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 19,101–20,173 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
18 Sept 2026, 05:19
19,225
-64
15 Sept 2026, 23:21
19,289
-27
14 Sept 2026, 05:17
19,316
+3
12 Sept 2026, 15:20
19,313
-19
10 Sept 2026, 12:41
19,332
-30
7 Sept 2026, 08:19
19,362
+26
4 Sept 2026, 10:56
19,336
-18
2 Sept 2026, 19:58
19,354
-32
1 Sept 2026, 20:04
19,386
-23
31 Aug 2026, 23:25
19,409
-25
30 Aug 2026, 21:36
19,434
-32
30 Aug 2026, 01:07
19,466
-41
29 Aug 2026, 00:05
19,507
-8
27 Aug 2026, 22:57
19,515
-14
27 Aug 2026, 01:12
19,529
-32
26 Aug 2026, 04:35
19,561
-28
25 Aug 2026, 01:03
19,589
-40
23 Aug 2026, 11:28
19,629
-3
21 Aug 2026, 20:57
19,632
-33
20 Aug 2026, 16:14
19,665
first reading
Engagement
42 posts held, back to 30 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 63 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.60%
avg views ÷ 19,225 subscribers
Avg views / post
1,460
14 posts measured
Reaction rate
8.56%
reactions ÷ views · ER floor
Posts in window
14
of 42 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 2 September 2026
Posts held
42 (30 July 2026 – 2 September 2026)
Views total
20,454
Reactions total
1,750
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 01:18 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
1m 28s
Average length
22s
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.
Reaction mix
5,055 reactions across 42 posts, in 8 distinct kinds. The most used accounts for 27.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🕊
1,383
27.4%
custom 5267361914882653588
1,082
21.4%
custom 5267506023920336598
869
17.2%
custom 5334576413603292776
766
15.2%
custom 5269248702605722226
310
6.13%
custom 5269629283952784992
303
5.99%
custom 5379955942836171200
288
5.70%
custom 5308004644943845348
54
1.07%
Custom emoji. 7 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 42 of the 42 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 5,055 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 30 July 2026 to 2 September 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.
📍 Парк Буэнос-Айрес
{ ухожено и душевно 🤍 }
завтра веду малыша в новый детский сад🥹 сегодня сходили на экскурсию и он безумно понравился! довольно недорогой с питанием и активностями на весь день: малыш будет развиваться и для меня появится время работать
коротко о 5 днях в Ереване: мы нашли квартиру, но это было дорого и сложновато (очееень много русских переезжают, спрос огромный), иногда накатывает грусть, но то…
🩷🩷🤎🤎книжный розыгрыш:
🩷🩷дарим 2000₽ на книги🌟
🎞️ подпишитесь на каналы:
Почитай, что вокруг
Regina life
Котики и Книги
лида | (не)душно о книгах
Книжный блог Насти
Читальный зал на одну персону
Бухта читателей
languageforbreakfast
Покнижимся да поуютимся
книжная сходка
🎞️нажмите кнопку ниже
{ итоги 06.09 подведет бот 🤎🤎 }
с первым днём осени всех! 🍁☕️
4-6 сентября в Ереване пройдет международный книжный фестиваль, обязательно посещу его! хочу попасть на спектакль по мотивам рассказа Набокова, презентации новинок международных издательств (даже книг Бакмана) и что-нибудь прикупить себе на англ/русском
покажу все на канале ✨
🌟🌟весь вечер гуляла со
🌟🌟своей знакомой, которая прилетела на недельку из России. центр Еревана прекрасен! очень понравилась Площадь Республики (на фото) и атмосфера города
обратно домой ехала в автобусе (проезд стоит ~35₽) и читала «скрытые картинки», пока город стоял в пробках перед 1 сентября… сюжет продвигается дальше и гг устраивается работать няней в частный дом, ее подопечный и рисует те самые картинки
честн…
🐰🌟 читать в грозу триллер самое то, начала «скрытые картинки» Рекулика, пока сюжет не очень понятно к чему приведет: главная героиня была зависима от наркотиков и моменты прошлой жизни ей кажутся чем-то галлюциногенным (или это реальность?), она устраивается работать няней в частный особняк и видимо где-то на этом моменте что-то произойдёт… специально не читала аннотацию, чтобы вообще не знать сюжет
интересно, что к…
в одном комментарии доносничество, расизм, клевета и оскорбление личности. вот нечем человеку заняться и настолько он сильно погряз в негативе, настолько он не ценит свое время и жизнь, что копается в биографии и пишет такие комментарии
про интервью: Корткеросская библиотека не заплатила мне ни копейки, да и это логично, с чего бы мне библиотека платила за какое-то интервью😅
🌟 вот это да… россиянам вообще выезжать за границу запрещено?
в комментариях девушка написала такой текст. процитирую мой ответ:
а вы вообще в курсе, что по Конституции у нас свобода передвижения и каждый человек может путешествовать/жить там, где ему комфортно в данный момент?
если бы ваш друг уехал на месячный отдых в Турцию, вы ему тоже понаписали бы такую кляузу?
сколько в вас желчи и негатива! знаете, я люблю…
книжный канал для тех, кто не хочет оправдываться за свой вкус ❤
автор канала Вика читает всё, что попадает под настроение: от классики до ромфентези и фанфиков [Драмиона ван лав]
здесь не стыдно сказать о том, что читаешь для удовольствия
в «культе субличности» тебя ждут:
✨ честные отзывы на прочитанное без снобизма
✨ атмосферные снимки и лайф-заметки
✨ распаковки книжных новинок и мерча
✨ покупки и находки для д…
Showing the 12 most recent of 42 posts we hold for @sea_and_books. 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 edited after publishing
@sea_and_books edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
8 August 2026
Most recent edit
29 August 2026
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“free opinion🕊🌊” (@sea_and_books), 19,225 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/sea_and_books.
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.