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 9 September 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.
Growth
33 measurements spanning 43 days, net -124. 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 34,329–34,491 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 10:17
34,348
-27
16 Sept 2026, 01:00
34,375
-12
14 Sept 2026, 10:21
34,387
-9
12 Sept 2026, 19:55
34,396
-30
10 Sept 2026, 17:15
34,426
+1
7 Sept 2026, 16:17
34,425
-3
2 Sept 2026, 23:57
34,428
-1
2 Sept 2026, 01:03
34,429
+8
1 Sept 2026, 01:05
34,421
-5
30 Aug 2026, 21:28
34,426
-3
29 Aug 2026, 21:23
34,429
-2
28 Aug 2026, 21:34
34,431
-2
27 Aug 2026, 23:33
34,433
+7
26 Aug 2026, 23:48
34,426
-1
26 Aug 2026, 01:25
34,427
+1
25 Aug 2026, 00:25
34,426
-8
23 Aug 2026, 09:12
34,434
-1
21 Aug 2026, 20:55
34,435
+4
20 Aug 2026, 13:54
34,431
-2
19 Aug 2026, 14:33
34,433
first reading
Engagement
31 posts held, back to 27 May 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 81 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
58.8%
avg views ÷ 34,348 subscribers
Avg views / post
20,200
11 posts measured
Reaction rate
2.19%
reactions ÷ views · ER floor
Posts in window
11
of 31 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 17 September 2026
Posts held
31 (27 May 2026 – 17 September 2026)
Views total
222,100
Reactions total
4,857
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Sept 2026, 05:20 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
636
Videos
154
Links
260
Lifetime counters from Telegram’s own channel header, read 24 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
23m 03s
Average length
1m 55s
Measured directly from 12 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
15,035 reactions across 31 posts, in 7 distinct kinds. The most used accounts for 34.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,192
34.5%
😁
3,697
24.6%
🔥
2,156
14.3%
👍
1,365
9.08%
😢
1,336
8.89%
🤯
647
4.30%
🤔
642
4.27%
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 31 of the 31 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 15,035 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 27 May 2026 to 17 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.
Telegram Stars
Stars received
96
across the posts below
Posts paid on
14
of 31 we hold a reading for · 45%
Most on one post
52
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @zhubanoir. 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 31 most recent posts we hold for this entry, published 27 May 2026 to 17 September 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.
Том Холланд стал самым кассовым актёром в истории кино
Суммарные сборы всех фильмов с его участием достигли 15,5 млрд долларов, пишет Variety
Холланд сместил прежнюю рекордсменку — актрису Зои Салдану (До Зои Салданы рейтинг возглавляла Скарлетт Йоханссон): общие кассовые сборы фильмов с участием Салданы составили 15,4 млрд долларов. Главным прорывом британца стали два кассовых хита 2026 года — фильмы «Одиссея» Кри…
Оплатить подписку на айфоне нынче не так уж и легко. Можно сделать себе зарубежную банковскую карту и сменить регион. Метод рабочий, но подойдет не всем, ведь тогда слетят нынешние подписки и покупки
Если вы не хотите с этим париться и вам нужно решение в два клика – пополнить Apple ID можно в Альфа-Банке. Просто в приложении вбейте в поиск Apple и выберете Apple Card.
В С Ё
Это настолько просто. Теперь ты можешь …
Похоже, что у Зака Креггера получилось
Критики остались в восторге от его Resident Evil
Variety: «Новый Resident Evil Креггера отличается от предыдущих фильмов серии — он намного лучше. Это медленное и жутковатое месиво, ведь режиссёр не снимает в привычном для экранизаций видеоигр стиле. Он действует более неторопливо и естественно. Проект отказывается воспринимать себя всерьёз, но, в отличие от других фильмов сер…
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Разбираемся в этих вопросах, а заодно объясняем контекст создания фильма «Тони» вместе с блогером Ануаром Тлегеновым (Anoir) в нашей рубрике «Минутка контекста» 🦞
Фильм «Тони», который мы выпустили вместе с A-ONE, еще идет в кин…
А вот и ещё один повод заглянуть на Фан Станцию —Ануар будет нашим гостем!
🎲 Ануар Тлегенов (ANOIR) — популярный видеоблогер, известный своими аналитическими разборами фильмов и любовью к кино, юмору и поп-культуре.
На нашем фестивале Ануар сыграет в НРИ на сцене, а после игры все желающие смогут взять у него автограф на автограф-сессии.
🍿 Не пропустите встречу с Ануаром и благословит вас Жубан!
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В центре сюжета окажется архитектор Тейт Гордон, который после смерти сестры отправляется в небольшой прибрежный город, чтобы заняться проектированием дома для своего друга. Там он знакомится с загадочной девушкой по имени Рен. Между героями возникает романтическая связь, однако вскоре Тейт начинает замечать странные события и понимает, что с…
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Самого Альтмана сыграл Эндрю Гарфилд («Человек-паук»), а его коллегу Илью Суцкевера воплотил Юра Борисов («Анора»)
Против хейтеров Колобка возбуждено уголовное дело
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От дедушки ушел
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😢439😁181🤯100❤21🤔16👍5🔥1
Showing the 12 most recent of 31 posts we hold for @zhubanoir. 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.
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 1 registered channel — 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.
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.
Read from Telegram’s recommendation API, most recently 3 September 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.
КШИШТОВСКИЙ @kshishtovsky · 25,442 Telegram ranks this channel #6 of 87 here — alongside 86 others — read 14 September 2026
[BadComedian] @TheBadComedian · 600,761 Telegram ranks this channel #29 of 86 here — alongside 85 others — read 8 August 2026
Вестник Чака @tele_chuck · 33,662 Telegram ranks this channel #38 of 84 here — alongside 83 others — read 4 September 2026
ЧЁРНЫЙ КАБИНЕТ @cabinetblack1 · 22,698 Telegram ranks this channel #41 of 85 here — alongside 84 others — read 20 September 2026
kuji @kujikuji · 49,983 Telegram ranks this channel #41 of 83 here — alongside 82 others — read 8 September 2026
Грег @gregjgeek · 23,220 Telegram ranks this channel #45 of 77 here — alongside 76 others — read 18 September 2026
Дима SuperVHS: мемы и кино @supervhs · 27,584 Telegram ranks this channel #46 of 97 here — alongside 96 others — read 10 September 2026
КультасLIVE @kultas_live · 31,645 Telegram ranks this channel #56 of 79 here — alongside 78 others — read 5 September 2026
Гуфовский @GGufen · 37,095 Telegram ranks this channel #69 of 78 here — alongside 77 others — read 1 September 2026
Простые числа @primenumbers2021 · 68,526 Telegram ranks this channel #72 of 92 here — alongside 91 others — read 20 August 2026
UsachevRuslan @usachevruslan · 199,008 Telegram ranks this channel #72 of 86 here — alongside 85 others — read 11 August 2026
ПОРА @tochnopora · 88,193 Telegram ranks this channel #78 of 90 here — alongside 89 others — read 18 August 2026
Dagon @dagon_official · 25,781 Telegram ranks this channel #81 of 89 here — alongside 88 others — read 13 September 2026
This channel appears in 13 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Храм Жубана” (@zhubanoir), 34,348 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/zhubanoir.
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.
