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 50% 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 43 days, net -25. 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 14,568–14,622 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
17 Sept 2026, 12:37
14,587
+13
15 Sept 2026, 12:38
14,574
-11
13 Sept 2026, 17:59
14,585
+2
11 Sept 2026, 23:39
14,583
+1
9 Sept 2026, 16:36
14,582
-6
6 Sept 2026, 09:57
14,588
+6
4 Sept 2026, 01:38
14,582
-2
2 Sept 2026, 16:13
14,584
-4
1 Sept 2026, 16:39
14,588
-5
31 Aug 2026, 17:13
14,593
-1
30 Aug 2026, 19:55
14,594
+1
29 Aug 2026, 22:26
14,593
-3
29 Aug 2026, 00:53
14,596
-6
27 Aug 2026, 00:53
14,602
-3
25 Aug 2026, 22:34
14,605
-1
24 Aug 2026, 19:34
14,606
+5
23 Aug 2026, 07:56
14,601
-1
21 Aug 2026, 19:59
14,602
+10
20 Aug 2026, 13:07
14,592
+9
19 Aug 2026, 14:27
14,583
first reading
Engagement
81 posts held, back to 31 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 51 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.6%
avg views ÷ 14,587 subscribers
Avg views / post
1,700
36 posts measured
Reaction rate
1.16%
reactions ÷ views · ER floor
Posts in window
36
of 81 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
81 (31 July 2026 – 2 September 2026)
Views total
61,116
Reactions total
708
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 18:27 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
25m 57s
Average length
1m 05s
Measured directly from 24 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
1,466 reactions across 76 posts, in 29 distinct kinds. The most used accounts for 44.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
655
44.7%
🔥
395
26.9%
👍
129
8.80%
❤🔥
77
5.25%
💔
39
2.66%
😁
25
1.71%
🕊
17
1.16%
🥰
17
1.16%
🙏
15
1.02%
⚡
13
0.887%
😍
11
0.75%
🤝
10
0.682%
💋
8
0.546%
🤯
8
0.546%
👏
7
0.477%
💯
7
0.477%
🤗
6
0.409%
🏆
5
0.341%
✍
4
0.273%
💘
4
0.273%
9 further kinds
14
0.955%
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 81 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 1,554 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 81 most recent posts we hold, published 31 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.
📚 Московская международная книжная ярмарка проходит с 3 по 6 сентября в Гостином Дворе
Рассказываем, где можно встретиться с создателями и актерами наших проектов, обсудить книги, экранизации и новые идеи. 👇
🔵3 сентября, 11:00
Исходный код: питчинг-шоу и презентация литературных проектов для индустрии кино и сериалов.
С участием заместителя руководителя Департамента редакционной работы ИРИ Мариам Бохян.
🔵6 сентябр…
Используете ИИ в своих проектах? Пройдите опрос! 😎
72% участников исследования применяют ИИ в каждом или почти каждом проекте. При этом 74% опрошенных отметили, что результаты генерации требуют доработки человеком.
❗️Сейчас ИРИ, «Россия — страна возможностей» и АНО «Развитие технологий искусственного интеллекта» изучают, как именно нейросети влияют на медиаиндустрию.
Поделиться своим опытом и помочь развитию ИИ-те…
Сентябрь с проектами ИРИ 🔥
Собрали новинки, которые выйдут уже в этом месяце — готовимся делиться впечатлениями!
Что будете смотреть?
#ИРИ_поддерживает
🚀 Этим вечером мы летим на Арканар
А точнее в кинотеатр «Октябрь» на премьеру сериала «Трудно быть богом»!
Здесь все — создатели и актеры, звездные гости и первые зрители.
Делимся внеземной атмосферой и напоминаем, что масштабный фантастический сериал выйдет уже 3 сентября на Wink.ru! 🔥
Актер Даня Киселев — с главной причиной посмотреть (на русском и на арканарском!) ⤵️
#ИРИ_поддерживает
🔦 В лучших традициях детского лагеря — ловим страшилку от звезд сериала «Любопытная Варвара» Сергея Федорова и Полины Айнутдиновой!
Испугались?
#ИРИ_поддерживает
Если где-то нужно раскрыть преступление, можете обращаться к Варваре Смородиной 💯
На этот раз юная сыщица вместе с напарником Васей и сестрой Зоей едет в детский лагерь в Калининграде. И, конечно, сразу оказывается в центре таинственных происшествий.
Первые серии третьего сезона «Любопытной Варвары» — уже на Wink.ru, идем смотреть! 🔥
#ИРИ_поддерживает
Это не сон! Врываемся в осень с новостями о проектах ИРИ для детей и подростков 😎
Пока ребята отдыхали ⬇️
✅ Завершились съемки сериала «Первый закон Шурупчика»
Десятилетний Саша по прозвищу Шурупчик живет обычную жизнь: уроки, неловкие ситуации и насмешки одноклассников. Но все меняется, когда он находит загадочный предмет, который ведет мальчика туда, где кто-то нуждается в помощи.
⚡️Начались съемки сериала «Алый…
🛞 По «КАМАЗам»!
Стартовало открытое бета-тестирование игры «Командиры бездорожья».
Мультиплеерная гоночная игра с экстремальными заездами на грузовиках по живописным локациям в регионах России.
Игрокам доступны:
🔵Визуальное обновление игровых трасс;
🔵Новые модули для всех грузовиков;
🔵Простое обучение и система прогресса аккаунта с наградами за уровни развития.
И многое другое! Заходите гонять в VK Play, а также…
❤13👍5🔥4
Showing the 12 most recent of 81 posts we hold for @irirussia. 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
@irirussia edited 2 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
11 August 2026
Most recent edit
14 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 53 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 135 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.
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.
ШОУРАННЕР @iamshowrunner · 50,621 Telegram ranks this channel #2 of 96 here — alongside 95 others — read 25 August 2026
КИОН @kionru · 68,212 Telegram ranks this channel #8 of 96 here — alongside 95 others — read 20 August 2026
Новости кинопроизводства @filmres · 37,300 Telegram ranks this channel #14 of 97 here — alongside 96 others — read 1 September 2026
Кинопоиск | Индустрия @kinopoisk_Industry · 28,537 Telegram ranks this channel #23 of 99 here — alongside 98 others — read 9 September 2026
Иви | О кино, фильмах и сериалах @official_iviru · 62,997 Telegram ranks this channel #39 of 97 here — alongside 96 others — read 21 August 2026
Okko Кино @okkomovies · 118,285 Telegram ranks this channel #46 of 93 here — alongside 92 others — read 14 August 2026
БК медиа @kinometro · 31,390 Telegram ranks this channel #57 of 98 here — alongside 97 others — read 6 September 2026
Кино-Театр.Ру🎭 @kino_teatrru · 25,511 Telegram ranks this channel #58 of 98 here — alongside 97 others — read 14 September 2026
Закулиска @zakuliska · 36,631 Telegram ranks this channel #59 of 97 here — alongside 96 others — read 1 September 2026
КИНО редакция @kino_redakciya · 53,227 Telegram ranks this channel #60 of 91 here — alongside 90 others — read 24 August 2026
KinoReel @kinoreel · 51,227 Telegram ranks this channel #64 of 98 here — alongside 97 others — read 25 August 2026
Министерство культуры Российской Федерации @mincultrussia · 24,882 Telegram ranks this channel #67 of 95 here — alongside 94 others — read 15 September 2026
РУССКОЕ КИНО В ТОПЕ @rkvt_2020 · 36,305 Telegram ranks this channel #67 of 97 here — alongside 96 others — read 1 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.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“ИРИ” (@irirussia), 14,587 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/irirussia.
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.