Film & TV — 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 23 September 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 why it has no browse page of its own yet.
Growth
6 measurements spanning 33 days, net -9. 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 257–268 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Sept 2026, 21:18
258
-2
31 Aug 2026, 01:53
260
-2
23 Aug 2026, 07:43
262
-4
16 Aug 2026, 03:56
266
-1
8 Aug 2026, 09:00
267
no change
7 Aug 2026, 16:03
267
first reading
Engagement
9 posts held, back to 7 September 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 31 October 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2m 21s
Average length
35s
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
878 reactions across 9 posts, in 15 distinct kinds. The most used accounts for 14.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5321333457471700508
125
14.2%
custom 5318754389739996341
100
11.4%
custom 5321041193537141743
99
11.3%
custom 5244673458083734407
90
10.3%
custom 5328213965015121726
88
10.0%
❤🔥
83
9.45%
🔥
70
7.97%
custom 5397840422879898082
46
5.24%
custom 5321420546523559474
43
4.90%
custom 5262825317021543612
32
3.64%
custom 5310231658501271619
28
3.19%
💘
24
2.73%
custom 5346045638435951595
20
2.28%
❤
19
2.16%
custom 5420550547788810726
11
1.25%
Custom emoji. 11 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 9 of the 9 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 878 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 7 September 2025 to 31 October 2025, 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
6
across the posts below
Posts paid on
5
of 9 we hold a reading for · 56%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @akvarelgorod. 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 9 most recent posts we hold for this entry, published 7 September 2025 to 31 October 2025. 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.
🤩🤩
🤩🤩 С Хэллоуином,
🤩🤩 ребятушки 🤩
Мы провели этот необычный ведьминский вечер в киноклубе, смотрели 1 часть «Крика» 🗡️, обменивались сладостями и пофотографировались!
А вы? 🤩
Предлагаю закончить октябрь детективно!
Эти истории ваши, если...
🔸🔸🔸🔸
🔸🔸🔸🔸🔸🔸🔸🔸🔸
📒вы ищете приключенческий роман с уклоном в детектив;
✏️любите истории, написанные хорошо и простым языком;
🔥вам нужен харизматичный главный герой.
🔸🔸🔸🔸🔸🔸🔸
🔸🔸🔸🔸
📖 вам нравятся тонко и красиво написанные психологические детективы с закрученным сюжетом;
👻 вы любите и сами строить догадки, кто убийца (вы познакомитесь с рядом подозреваемы…
😀😀
😀😀⭐️ 🔸🔸🔸🔸🔸
(ещё бы деньги и два ствола)
⭐️последнее время сильно заморочилась по поводу сценария «Слишком киношно»: очень хочется написать продуманную, логичную и смешную историю, а не сделать тяп-ляп (как самый 1 драфт, хотя там я закладывала по большей части основу истории, и её оставила);
⭐️ещё очень действенная вещь, – это карта взаимоотношений персонажей. раньше я такое делала максимум от руки в тетради, н…
🔸🔸🔸🔸🔸
в романе «Великий Гэтсби» 🍷🍂
1⃣
В последний перед тем, как отбыть за границу, вечер он долго сидел, обнимая Дэйзи и не говоря ни слова. Вечер был холодный, осенний, в комнате горел камин, щеки ее раскраснелись. Время от времени Дэйзи поёрзывала, и он немного передвигал руку, а один раз поцеловал её темные, блестящие волосы.
2⃣
Провёл там неделю, бродя по улицам, помнившим звук их общих шагов в ноябрьской
ночи,…
📜📜📜
📜📜📜🔸🔸🔸🔸🔸
📜📜📜🔸🔸🔸🔸🔸🔸🔸🔸
В сентябре прочитала две чудесные книги – «Шоколад» (Джоанн Харрис) и «Медная шкатулка и пять рассказов» (Джозеф Флетчер)
#книги #рекомендую
🌟🌟🌟🌟 😀😀😀😀
🌟🌟🌟🌟
🌟🌟🌟🌟 😀😀😀😀😀😀
С наступлением октября, дорогие, и с днём музыки! Поздравляю своего брата композитора Евгения Лавряшина 🌟
К последней моей видеоработе «Новогодние конфеты» Женя написал и исполнил рэп, чего раньше ещё не делал. Спасибо ему огромное!
🤩 Слушайте и смотрите, как мы снимали (а полная версия музыки в начале к/м)
#музыка #кино #фильмы #мои_фильмы #киношкола #новогодние_конфеты
🍂🍂🍂🍂🍂
🍂🍂🍂🍂🍂🍂
🍂🍂🍂🍂🍂🍂🍂🍂
🤎🤎🤎🤎🤎помните, в мае
🤎🤎🤎🤎🤎я проводила
🤎🤎🤎🤎🤎посткроссинг?
🤎🤎🤎🤎🤎только
🤎🤎🤎🤎🤎посмотрите, какие чудесные письма
я получила от Юли и Даши!
📖📖 А ещё огромное спасибо
📖📖 за подарочки Маше и
📖📖Кате! И огромное спасибо Даше (Ходячая библиотека Хоула) за прекраснейший бокс по Миядзаки, который я выиграла у неё в розыгрыше 🐱🤎
#посткроссинг #книги
🌟🌟🍂🍂 🍂🍂🍂🍂🍂🍂
🌟🌟
🌟🌟«Моя киносемья» – это
🌟🌟работа, снятая одним кадром в стиле мокьюментари.
☕️Мокьюментари – псевдодокументальная съёмка.
Мы прогнали всё по тексту, развелись по ногам. Что-то я немного поменяла, но все моменты закрепили, чтобы снимать дубли без остановок. К счастью, всё получилось! У меня был чудесный актёрский состав 🫶💕
Отдельное спасибо папе, прилетевшему помочь мне 💛 и Андрею, который дал нам халат…
📖📖
📖📖🎃🎃
📖📖🎃🎃 🍂🍂🍂🍂🍂
🍂🍂 🍂🍂🍂🍂🍂
🤩Джоанн Харрис, «Шоколад» (сейчас читаю);
🤩Франц Кафка, «Письма к Милене»;
🤩Габриэль Гарсиа Маркес, «Генерал в своём лабиринте»;
🤩Джейн Остен, «Гордость и предубеждение»;
🤩Уолтер Тевис, «Ход королевы»;
🤩Джозеф Флетчер, «Медная шкатулка и пять рассказов».
В электронном формате:
🤩Вирджиния Вулф, «На маяк» (только начала).
делитесь своими планами и книгами, которые читаете сейчас 📚⤵️
#к
Showing the 9 most recent of 9 posts we hold for @akvarelgorod. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@akvarelgorod named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@blackylibrary named in 1 post, 9 August 2026 – 9 August 2026
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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“Акварельный город” (@akvarelgorod), 258 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/akvarelgorod.
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.