Улица, где Тим Карри снимался в одной из сцен для фильма «Оно» (1990) стала мемориалом после смерти актёра. Поклонники повесили на крышке люка красные шарики с надписью «Покойся с миром». 🖐🖐🖐phenomena
💔22🕊7👏3❤1

Channel
@phenomenamovies
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
10,452subscribers
-117 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002681375328 |
|---|---|
| Type | Channel |
| Username | @phenomenamovies |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/phenomenamovies |
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 11 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 10:01 | 10,452 | -8 |
| 15 Sept 2026, 09:37 | 10,460 | +7 |
| 13 Sept 2026, 17:41 | 10,453 | -5 |
| 11 Sept 2026, 19:38 | 10,458 | +1 |
| 9 Sept 2026, 07:17 | 10,457 | -2 |
| 5 Sept 2026, 21:57 | 10,459 | +4 |
| 3 Sept 2026, 16:19 | 10,455 | -4 |
| 2 Sept 2026, 08:15 | 10,459 | -1 |
| 1 Sept 2026, 10:06 | 10,460 | -8 |
| 31 Aug 2026, 09:25 | 10,468 | +1 |
| 30 Aug 2026, 08:55 | 10,467 | -4 |
| 29 Aug 2026, 10:59 | 10,471 | -4 |
| 28 Aug 2026, 09:06 | 10,475 | -6 |
| 27 Aug 2026, 08:42 | 10,481 | -3 |
| 26 Aug 2026, 11:18 | 10,484 | -2 |
| 25 Aug 2026, 12:11 | 10,486 | -1 |
| 24 Aug 2026, 09:52 | 10,487 | -9 |
| 22 Aug 2026, 13:57 | 10,496 | -9 |
| 21 Aug 2026, 08:03 | 10,505 | -5 |
| 20 Aug 2026, 08:24 | 10,510 | first reading |
45 posts held, back to 6 August 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 39 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 29 August 2026 |
|---|---|
| Posts held | 45 (6 August 2026 – 29 August 2026) |
| Views total | 9,891 |
| Reactions total | 353 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 14:45 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.
Measured directly from 8 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.
1,054 reactions across 44 posts, in 20 distinct kinds. The most used accounts for 30.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 325 | 30.8% | |
| 🔥 | 254 | 24.1% | |
| 💯 | 83 | 7.87% | |
| 😢 | 82 | 7.78% | |
| 💔 | 79 | 7.50% | |
| 👏 | 63 | 5.98% | |
| ✍ | 30 | 2.85% | |
| 🤣 | 30 | 2.85% | |
| 😍 | 29 | 2.75% | |
| 🕊 | 22 | 2.09% | |
| ⚡ | 13 | 1.23% | |
| 💘 | 11 | 1.04% | |
| ❤🔥 | 8 | 0.759% | |
| 🤔 | 7 | 0.664% | |
| 💅 | 5 | 0.474% | |
| 🍓 | 4 | 0.38% | |
| 😨 | 3 | 0.285% | |
| 🤯 | 3 | 0.285% | |
| 🍾 | 2 | 0.19% | |
| 🙏 | 1 | 0.095% |
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 44 of the 45 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 1,054 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 6 August 2026 to 29 August 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @phenomenamovies. 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 45 most recent posts we hold for this entry, published 6 August 2026 to 29 August 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.
Улица, где Тим Карри снимался в одной из сцен для фильма «Оно» (1990) стала мемориалом после смерти актёра. Поклонники повесили на крышке люка красные шарики с надписью «Покойся с миром». 🖐🖐🖐phenomena
💔22🕊7👏3❤1
Сегодня важная дата во вселенной «Терминатора». Именно 29 августа Скайнет обрёл самосознание и вышел из-под контроля людей. 🖐🖐🖐phenomena
👏10🔥5⚡4❤4🤯1
Сильвестр Сталлоне и Курт Рассел в фильме «Танго и Кэш», 1989 Картина задала тренд на самоиронию и юмор в жанре — это боевик, который троллит сам себя, и делает это с обаянием. Он дал понять, что даже крутые парни могут не воспринимать всё слишком всерьёз. И именно за это фильм получил вторую жизнь в культовом статусе. 🖐🖐🖐phenomena
❤18⚡4🔥4
Когда я снимал свой первый фильм, мне больше всего помогло то, что в начале 50-х это было так необычно - чтобы кто-то пошел и снял фильм. Люди думали, что это невозможно. На самом деле это ужасно просто. Все, что нужно, - это камера, магнитофон и немного воображения. Стэнли Кубрик 🖐🖐🖐phenomena
❤12👏3🔥2
Джиллиан Андерсон и ее "неожиданное" вечернее платье для «Оскара», 2001 г. Для звезды «Секретных материалов» Джиллиан Андерсон 73-я церемония «Оскар» стала дебютной, поэтому к выбору платья на красную ковровую дорожку она подошла ответственно. Актриса, которую стали называть секс-символом фантастики после роли агента Скалли, решила не разочаровывать поклонников и обратилась за помощью к дизайнеру Эдуардо Лучеро. Он …
🔥15❤2🍾2
🎬 «Умница Уилл Хантинг», 1997 Сценарий написали Мэтт Деймон и Бен Аффлек, которые сыграли главные роли. Тогда им было чуть больше 20 лет, и это стало их дебютом в качестве сценаристов. Знаменитая сцена на скамейке в Бостонском саду с Робином Уильямсом была чистой импровизацией, а его монолог о жизни и любви стал одним из самых цитируемых моментов в кино. 🖐🖐🖐phenomena
🔥16❤6👏2💔1
Умер Тим Карри. Актеру было 80 лет 🕊️ Миллионы зрителей запомнили его в образе Пеннивайза из экранизации «Оно» 1990 года, а также по фильмам «Один дома 2», «Шоу ужасов Рокки Хоррора» и «Очень страшное кино 2». В 2012 году Карри перенес инсульт, после которого передвигался на инвалидном кресле. 🖐🖐🖐phenomena
😢55🕊15💔4❤2
Гас Ван Сент и его Polaroid-архив будущих звёзд 🎥 С 1983 по 1999 год американский режиссёр Гас Ван Сент («Умница Уилл Хантинг») фотографировал на свой старенький Polaroid актёров, которые появлялись в его студии. Снимки первоначально были частью его работы над кастингом: актёры приходили на пробы, а режиссёр быстро фотографировал их. Но со временем эти фотографии превратились в самостоятельный художественный архив …
🔥18❤8😍1
когда вышел на улицу в +30 в своём любимом чёрном 🖐🖐🖐phenomena
❤7🤣3💯2
Кристиан Бэйл не советует встречать своих кумиров: Я вижу это в глазах людей.. они смотрят мои фильмы, они им нравятся, а потом они встречают меня… И я вижу их ужасное разочарование в том, каков я есть на самом деле. И это правда, никогда не встречайтесь со мной. И я тоже никогда не хочу встречать своих кумиров. 🖐🖐🖐phenomena
💯21❤3😍3⚡1
Новый взгляд на Бэтмобиль со съёмочной площадки фильма «Бэтмен 2» 🦇 Как вам обновлённый автомобиль Тёмного рыцаря? 🖐🖐🖐phenomena
💔4❤2🔥2⚡1
🎬 Любимые фильмы Кристофера Нолана Фильмография режиссёра давно стала предметом изучения для киноведов и зрителей. Но не менее интересно посмотреть на фильмы, которые сформировали вкус самого Нолана и повлияли на его собственный стиль в кино. 🖐🖐🖐phenomena
❤8✍3🔥2
Showing the 12 most recent of 45 posts we hold for @phenomenamovies. 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.
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.
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.
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.
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.
“Phenomena — Фильмы и сериалы” (@phenomenamovies), 10,452 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/phenomenamovies.
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.