Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (2 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 14 comparable posts for this entry, running 27 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 2 channels, the one whose matching posts we hold earliest is @go_to_kino — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
60 measurements spanning 96 days, net -271. 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 13,358–13,740 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
10 Nov 2026, 04:21
13,402
-5
8 Nov 2026, 17:47
13,407
-6
7 Nov 2026, 14:21
13,413
-4
6 Nov 2026, 16:30
13,417
+1
5 Nov 2026, 16:17
13,416
+4
4 Nov 2026, 18:17
13,412
-3
3 Nov 2026, 21:48
13,415
-7
2 Nov 2026, 23:25
13,422
+1
1 Nov 2026, 22:36
13,421
+1
31 Oct 2026, 23:46
13,420
-6
31 Oct 2026, 01:27
13,426
-2
30 Oct 2026, 00:50
13,428
+3
28 Oct 2026, 21:40
13,425
-1
27 Oct 2026, 17:25
13,426
-9
26 Oct 2026, 13:40
13,435
-3
25 Oct 2026, 14:11
13,438
-3
24 Oct 2026, 17:44
13,441
-2
23 Oct 2026, 20:19
13,443
-2
21 Oct 2026, 11:54
13,445
-9
20 Oct 2026, 12:59
13,454
first reading
Engagement
65 posts held, back to 27 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 65 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.2%
avg views ÷ 13,402 subscribers
Avg views / post
2,700
23 posts measured
Reaction rate
1.46%
reactions ÷ views · ER floor
Posts in window
23
of 65 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 7 November 2026
Posts held
65 (27 July 2026 – 7 November 2026)
Views total
62,170
Reactions total
909
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 07:04 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
≈1,310
Videos
≈451
Links
≈811
Lifetime counters from Telegram’s own channel header, read 10 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
38m 14s
Average length
1m 04s
Measured directly from 36 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
4,156 reactions across 64 posts, in 9 distinct kinds. The most used accounts for 47.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5406685968155582401
1,977
47.6%
custom 5406614259381607688
726
17.5%
custom 5406845719464153743
389
9.36%
custom 5407109284427243438
277
6.67%
custom 5406788102477878355
271
6.52%
custom 5406928629512837998
222
5.34%
custom 5406858286538462205
214
5.15%
custom 5406775522518671998
73
1.76%
custom 5406685272370880466
7
0.168%
Custom emoji. Every row above is a 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 65 of the 65 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 4,206 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 65 most recent posts we hold, published 27 July 2026 to 7 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 23 posts held from the last 30 days (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).
🔍 Приготовься к финальному уровню! Новый трейлер приключенческого экшена «Джуманджи: Великий побег».
В главных ролях: Джек Блэк, Дуэйн Джонсон, Карен Гиллан, Кевин Харт и Дэнни ДеВито.
Спенсер, Фридж, Беттани и Марта возвращаются для заключительного приключения в «Джуманджи». На этот раз игра выходит из-под контроля и обрушивает беспорядок на реальный мир. Чтобы остановить это, друзьям предстоит вернуть в консоль е…
🔎 Ты точно хочешь знать правду? Загадочный триллер «Тайный дневник Верити» в проекте «То Кино!».
Скорее выбирай места
🧩 В главных ролях: Дакота Джонсон, Энн Хэтэуэй и Джош Хартнетт.
Лоуэн Эшли всегда мечтала о литературном успехе. Когда муж известной писательницы Верити Кроуфорд, попавшей в аварию, предлагает ей дописать незавершенные романы, она хватается за эту возможность. Но в старом поместье ее ждет страшная …
🤬 Птички возвращаются! Новый трейлер мультфильма «Angry Birds 3 в кино»!
Ред, Чак и Бомб уже дважды спасали остров птиц — а теперь им предстоит встретить главную угрозу: отцовство! Злюка Ред впервые становится папой и вместе с Сильвер воспитывает птенца. Впрочем, помимо домашних хлопот команде придется спасать мир от очередной глобальной опасности — так что будет весело!
😡 В триквеле легендарная команда Rovio поста…
🌟 Изобретательный мультфильм о дружбе «Остров забвения» на больших экранах проекта «То Кино!».
Занимай места для всех друзей
Лучшие подруги Джо и Раисса попадают в Накали — мир, полный странных существ и непривычных законов. Поначалу все выглядит как увлекательное приключение, но вскоре девушки понимают: чтобы выбраться, придется заплатить слишком высокую цену. Единственный путь домой — отказаться от самых дорогих …
⏳ У тебя всего час! Клаустрофобный триллер-хоррор «Кит: Во тьме глубин» с 5 ноября в проекте «То Кино!».
Выбирай лучшие места
Рейтинг зрителей на Rotten Tomatoes — 80%!
🐋 В главных ролях: Остин Абрамс, Джош Бролин и Эмили Радд.
Джей знал: каждое погружение на дно океана таит множество рисков. Но желание найти останки отца перевесило любые угрозы. Однако попасть внутрь живого кита не входило даже в самые жуткие пр…
😈 Хэллоуин закончился, а ужасы продолжаются! Экшен-хоррор «Обитель зла» на больших экранах проекта «То Кино!».
Занимай места
Брайан — медицинский курьер, перевозящий органы для трансплантации. Однажды вечером, когда он уже собирался домой к беременной девушке, ему поручают срочную доставку в Раккун-Сити. С этого начинается эпидемия!
💉 Сборы фильма уже приблизились к отметке в 400 миллионов долларов, что стало огро…
🦈 Финальный трейлер камерного триллера «Кит: Во тьме глубин».
В главных ролях: Остин Абрамс, Джош Бролин, Джейн Леви и Эмили Радд.
Каждое погружение могло стать последним — Джей это знал. Но попасть внутрь живого кита не входило ни в один риск. Он искал останки отца, а обрел собственную смерть. В полной темноте, в чреве гиганта, у него всего час. Воздух кончается, время уходит. Битва за жизнь началась.
👁 Критики у…
👹 От заката до рассвета. Восемь фильмов. Две эпохи. Одна «Ночь хорроров»!
Скорее занимай места
Уже сегодня проект «То Кино!» устроит самую жуткую ночь года. Два марафона ужасов — классика и современность сойдутся, чтобы напугать тебя до мурашек.
😱 Halloween Classic: «Кошмар на улице Вязов», «Крик», «Молчание ягнят», «Сайлент Хилл».
🎈 Halloween Modern: «Оно», «Улыбка», «Тихое место: День первый», «Варвар».
А еще м…
🥶 Спасите Брэда Питта! Драма «Сердце зверя» на больших экранах проекта «То Кино!».
Выбирай лучшие места
Рейтинг зрителей на Rotten Tomatoes — 94%!
🐶 После крушения самолёта в суровых лесах Аляски бывший офицер спецназа Джеймс Белмонт и его пес Один оказываются отрезанными от мира. Без еды, связи и оружия им предстоит долгий путь и схватки с хищниками. Но самое трудное испытание — не внешние угрозы, а внутренние де…
💀 Современный хоррор не церемонится. Он пугает резко и бескомпромиссно!
В ночь с 31 октября на 1 ноября проект «То Кино!» запускает марафон хорроров.
Halloween Modern: новая волна ужаса. Фильмы, которые пугают по-новому: безжалостно, психологически и непредсказуемо. Клоун из Дерри, проклятие с улыбкой, тишина, которая убивает, и подвал, из которого нет выхода.
🤡 «Оно» (22:00–0:20)
Семеро детей в городке Дерри стал…
🩸 Конкурс костюмов 🩸
Приди в кинотеатр на «Ночь хорроров» в карнавальном костюме!
👁 Получи наш жутко стильный пригласительный билет
(выдают сотрудники на зоне контроля; у нас два вида пригласительных — какой у тебя пакет, Classic или Modern, такой ты получишь билет).
👁 Сфотографируйся в костюме с пригласительным билетом и выложи в Instagram* с отметкой @to_kino_go
👁 Покажи опубликованную фотографию с отметкой сот…
🤨 Битва, которая изменит историю галактики! Финальный трейлер грандиозной научной фантастики «Дюна: Часть третья».
В главных ролях: Тимоти Шаламе, Зендая, Джейсон Момоа, Роберт Паттинсон, Флоренс Пью и Аня Тейлор-Джой!
🫤 Семнадцать лет назад Пол Атрейдес занял трон. Теперь он — император, муж принцессы Ирулан, но его правление обернулось тиранией. Недовольство растет, противоречия внутри империи обостряются, и в эт…
Showing the 12 most recent of 65 posts we hold for @go_to_kino. 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
@go_to_kino edited 1 post 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
19 August 2026
Most recent edit
26 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
Named by 3 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.
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
@go_to_kino 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.
@to_kino_go named in 1 post, 4 November 2026 – 4 November 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“То Кино!” (@go_to_kino), 13,402 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/go_to_kino.
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.