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Channel

Сериальный Клуб

@serial_club

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

8,509subscribers

-100 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001307500672
TypeChannel
Username@serial_club
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/serial_club

Topic

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.

Growth

8,5028,6098,555.57 August 2026 — 8,609 subscribers7 August 2026 — 8,609 subscribers7 August 2026 — 8,605 subscribers10 August 2026 — 8,595 subscribers13 August 2026 — 8,575 subscribers16 August 2026 — 8,548 subscribers20 August 2026 — 8,526 subscribers23 August 2026 — 8,502 subscribers27 August 2026 — 8,503 subscribers29 August 2026 — 8,502 subscribers1 September 2026 — 8,507 subscribers5 September 2026 — 8,511 subscribers10 September 2026 — 8,517 subscribers14 September 2026 — 8,524 subscribers18 September 2026 — 8,509 subscribers8,5097 August 202618 September 2026
15 measurements spanning 42 days, net -100. 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 8,486–8,625 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 18:008,509-15
14 Sept 2026, 01:418,524+7
10 Sept 2026, 15:218,517+6
5 Sept 2026, 09:028,511+4
1 Sept 2026, 19:258,507+5
29 Aug 2026, 18:138,502-1
27 Aug 2026, 03:388,503+1
23 Aug 2026, 16:578,502-24
20 Aug 2026, 02:338,526-22
16 Aug 2026, 16:048,548-27
13 Aug 2026, 08:588,575-20
10 Aug 2026, 07:038,595-10
7 Aug 2026, 15:308,605-4
7 Aug 2026, 09:458,609no change
7 Aug 2026, 09:368,609first reading

Engagement

36 posts held, back to 12 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 27 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.5%
avg views ÷ 8,509 subscribers
Avg views / post
1,150
2 posts measured
Reaction rate
4.67%
reactions ÷ views · ER floor
Posts in window
2
of 36 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
WindowRolling 30 days · latest post in window 26 August 2026
Posts held36 (12 July 202626 August 2026)
Views total2,292
Reactions total107
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 17:17 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.

Reaction mix

1,725 reactions across 35 posts, in 27 distinct kinds. The most used accounts for 51.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
88251.1%
🔥34520.0%
💯804.64%
💔492.84%
🤣472.72%
😢402.32%
😍382.20%
❤‍🔥352.03%
💅341.97%
👍281.62%
🌭231.33%
191.10%
😁140.812%
🤔140.812%
🥰140.812%
110.638%
🎉100.58%
🍓70.406%
👌70.406%
💊70.406%
7 further kinds211.22%

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 35 of the 36 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 1,725 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 36 most recent posts we hold, published 12 July 2026 to 26 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.

Recent posts

26 Aug 2026, 12:13 UTC982 views39 reactionsread 28 August 2026
Photo

Посмотрела по 2 серии новых «Осколков» и «Стерлинг Поинт» «Осколки» - классический сериал Райана Мёрфи. Красиво, кроваво, любимые авторские 80-е. От Кайи Гербер не оторвать взгляд. Не слишком цепляет, но думаю можно забинджвочить, когда выйдут все серии. «Стерлинг Поинт» - лёгкий, летний, местами смешной. Пока не поняла, почему постер с вайбом осеннего детектива😂 По первым сериям это типичный летний ромком. Очень к

255🔥5👌3💯1

25 Aug 2026, 07:35 UTC≈1,310 views68 reactionsread 28 August 2026
Photo

В мире, где второй сезон получает абсолютно каждое унылое дерьмо, единственный сериал, который мы единогласно ждём, закрыли!!!😭 Надеюсь, Warner Brothers смогут выпустить его на другом стриминге.

😢38💔237

24 Aug 2026, 14:08 UTC≈1,380 views33 reactionsread 28 August 2026
Photo

Начали вчера с мужем сериал «Убивать осознанно» Главный герой - смесь Сергея Безрукова и Джеймса МакЭвоя, я с этого очень ржу:) Очень круто ломает 4 стену! Этот прием почему-то все особенно любят в «Дряни», так вот здесь он тоже всегда к месту. Начинается так: юрист немецкого главаря мафии знатно задолбался на работе, семейная жизнь полетела к чертям, и жена настойчиво отправляет его к гуру по осознанности. Это ср

17🔥95👌1🤣1

22 Aug 2026, 15:43 UTC≈1,510 views44 reactionsread 28 August 2026
Photo

Фотографии с вечеринки «Тед Лассо» в Monterey Lounge⚽️🇬🇧 👨🏻Искать себя здесь

🔥2215😁4😍3

21 Aug 2026, 20:26 UTC≈1,630 views40 reactionsread 28 August 2026

Третья серия нового «Теда Лассо»🤌🏼 Там есть всё, за что мы его любим: коммуникация в команде, классные шутки, жизнеутверждающие моменты и романтические казусы:)) Кили, конечно, совсем стала блондинкой в законе, как будто мне больше нравились ее предыдущие образы барби-босса. Но их дуэт с Ребеккой всё ещё самое сильное, что есть в сериале❤️ Жду развития дуэта Теда с тренером Чилтон. Кажется, потенциал у них большой

24🔥11💯5

21 Aug 2026, 11:09 UTC≈1,680 views33 reactionsread 28 August 2026
Photo

Последнее время взяла привычку залипать в Тредс. И так как «сериальные алгоритмы» у меня настроены хорошо, часто попадаются посты про старенький «Мотель Бейтса» (2013-2017). Я не смотрела, меня почему-то отталкивают афиши и описание😂 А в Тредс он прям хайпует, но всё ещё не убедительно для меня. Больные отношения матери и сына - мимо:)) А вы что скажете? Смотрели?

🤔1412🔥7

20 Aug 2026, 19:23 UTC≈1,630 views25 reactionsread 28 August 2026
Photo

На этой неделе у нас много поводов для встреч в Петербурге 💓 23 августа в 16:00 проведу лекцию по блогингу в саду Особняка Мясникова. Вне университета такое бывает крайне редко:) Чего ожидать - написала в карточках. Жду вас! 🎟️Билеты

13🔥82👍2

19 Aug 2026, 20:34 UTC≈1,110 views73 reactionsread 20 August 2026
Photo

Первые две серии ✅

40❤‍🔥16😍13🔥4

19 Aug 2026, 09:49 UTC≈1,270 views23 reactionsread 20 August 2026

Для самых спонтанных⚡️ Последние билеты на сериальную вечеринку сегодня в 19:00 (малый зал). Ловите🍿

126🌭5

19 Aug 2026, 08:53 UTC≈1,310 views47 reactionsread 20 August 2026
Photo

Самая первая сериальная вечеринка в 2023 Идея совместных просмотров сериалов с обсуждениями пришла ко мне 3 года назад на Бали. Тогда мы собрали всех друзей и знакомых, и встал вопрос: что смотреть, чтобы всем понравилось? Я сразу выбрала «Теда Лассо», потому что он никого не оставляет равнодушным. Помню, что ребята с вечеринки потом писали благодарности за то, что открыла им этот сериал. И вот сегодня, через 3 г

23❤‍🔥11🔥103

18 Aug 2026, 15:04 UTC≈1,320 views21 reactionsread 20 August 2026

Продолжаю отвечать на вопросы по вечеринке🍟🥪🍻 На протяжение всего мероприятия можно будет заказывать по меню, кухня и бар работают для вас. А по инсайдерской информации🤫 Самому счастливому столику мы полностью закроем счёт в конце вечеринки. Это один из призов нашего розыгрыша, участником которого вы становитесь, как только ворветесь на вечеринку👨🏻

11🔥7👌3

Showing the 12 most recent of 36 posts we hold for @serial_club. 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.

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

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.

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.

“Сериальный Клуб” (@serial_club), 8,509 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/serial_club.

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.