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Channel

12

@twelve_plots

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

7,830subscribers

-17 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002231295248
TypeChannel
Username@twelve_plots
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 September 2026
Measurements held12
Confirmed unchanged1 time, most recently 10 September 2026
On Telegramt.me/twelve_plots

Growth

7,8307,8487,8396 August 2026 — 7,847 subscribers6 August 2026 — 7,848 subscribers9 August 2026 — 7,845 subscribers13 August 2026 — 7,848 subscribers16 August 2026 — 7,841 subscribers19 August 2026 — 7,835 subscribers23 August 2026 — 7,837 subscribers26 August 2026 — 7,840 subscribers29 August 2026 — 7,833 subscribers1 September 2026 — 7,836 subscribers4 September 2026 — 7,837 subscribers10 September 2026 — 7,830 subscribers6 August 202610 September 2026
12 measurements spanning 35 days, net -17. 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 7,827–7,851 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Sept 2026, 07:587,830-7
4 Sept 2026, 23:387,837+1
1 Sept 2026, 14:357,836+3
29 Aug 2026, 14:437,833-7
26 Aug 2026, 13:297,840+3
23 Aug 2026, 19:177,837+2
19 Aug 2026, 22:427,835-6
16 Aug 2026, 17:337,841-7
13 Aug 2026, 06:057,848+3
9 Aug 2026, 23:377,845-3
6 Aug 2026, 19:217,848+1
6 Aug 2026, 06:357,847first reading

Engagement

39 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
14.9%
avg views ÷ 7,830 subscribers
Avg views / post
1,170
24 posts measured
Reaction rate
4.02%
reactions ÷ views · ER floor
Posts in window
24
of 39 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 28 August 2026
Posts held39 (3 August 202628 August 2026)
Views total28,035
Reactions total1,128
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 20:15 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
1m 50s
Average length
28s

Measured directly from 4 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

1,653 reactions across 36 posts, in 20 distinct kinds. The most used accounts for 56.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
92956.2%
🔥1529.20%
💘1287.74%
👍1156.96%
❤‍🔥1106.65%
🥰653.93%
😍342.06%
311.88%
👎311.88%
🤔271.63%
💯80.484%
🙏70.423%
🤗50.302%
20.121%
🆒20.121%
👏20.121%
😴20.121%
👀10.06%
🤝10.06%
🥴10.06%

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 39 of the 39 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 1,809 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 39 most recent posts we hold, published 3 August 2026 to 28 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

28 Aug 2026, 16:53 UTC387 views30 reactionsread 28 August 2026
Photo

Dujiangyan Zhongshuge 📌Дуцзянъянь, Китай Dujiangyan Zhongshuge — книжный, который больше похож на фантастическую декорацию, чем на магазин. Его пространство построено на иллюзии бесконечной библиотеки: зеркальный потолок и глянцевый чёрный пол отражают высокие арки и стеллажи, поэтому двухэтажный зал выглядит как книжный собор, лабиринт или мир из гравюры Эшера. За эффектным дизайном скрывается местный контекст: Ду

20🔥5😍32

28 Aug 2026, 06:27 UTC642 views26 reactionsread 28 August 2026
Photo

Каждую неделю редакторы рекомендуют свои книги 🔵Дарина Якунина - главный редактор издательства NoAge. Камерная и глубокая по содержанию повесть-сказка о преодолении травмы и проживании утраты. Две сестры запираются в квартире: пока одна погружается в депрессию, другая пытается спасти ее вымышленными историями. Зима и само время становятся здесь ключевыми действующими лицами. Автор виртуозно работает с языком, превр

20👍2💘2🤗2

27 Aug 2026, 06:49 UTC806 views33 reactionsread 28 August 2026
Photo

Иллюстратор: Кристина Ракитина Портфолио: Kristina Rakitina Город: Санкт-Петербург, Россия #находка

27💘3👍2🔥1

26 Aug 2026, 16:10 UTC978 views49 reactionsread 28 August 2026

🔵Анти-рекомендации: новая ценность — не купить лишнего ⭐️De-influencing, или анти-рекомендации, — тренд, в котором блогеры не подталкивают аудиторию к покупке, а предлагают остановиться и подумать: действительно ли эта вещь вам нужна. Формат появился как реакция на бесконечные распаковки, списки маст-хэв и рекомендации, которые превращают ленту в витрину. ☑️Авторы разбирают переоцененные продукты, предлагают более

29❤‍🔥10💯8👍2

26 Aug 2026, 06:21 UTC≈1,010 views38 reactionsread 28 August 2026
Photo

12 книжных новинок с 17 по 23 августа: 🔵«Имя розы» Умберто Эко, Мило Манара АСТ Графическая адаптация знаменитого средневекового детектива Умберто Эко. 🔵«Atomic Heart. Миссия: ХРАЗ» Харальд Хорф АСТ Роман по вселенной Atomic Heart о мире после технологической катастрофы и всеобщего подчинения. 🔵«Одорама: Культурная история запахов» Федерико Куксо Альпина нон-фикшн Культурная история обоняния: про то, как запахи вл

🔥1611💘7👍2😴2

25 Aug 2026, 15:57 UTC≈6,830 views58 reactionsread 28 August 2026
Photo

🔵От самиздата к миллиону: как «Theo of Golden» стал главным книжным феноменом года 📍Theo of Golden Аллена Леви — один из самых необычных книжных прорывов 2026 года в США. Роман написал бывший юрист, судья и музыкант из Джорджии, дебютировавший в художественной прозе уже после 60 лет. Леви самостоятельно выпустил книгу в октябре 2023 года: к концу того года было продано около 3 тыс. экземпляров, а к концу 2024-го — о

47💘6🤗3👍2

25 Aug 2026, 06:27 UTC≈1,030 views34 reactionsread 28 August 2026

Книжные новости с 17 по 23 августа: 🔵Комедия «Тревожные люди» с Анджелиной Джоли выйдет в прокат в России 7 января. 🔵Вышел полноценный трейлер сериала «Трудно быть богом» — экранизации повести Аркадия и Бориса Стругацких. 🔵21-23 августа в Екатеринбурге прошел книжный фестиваль «Красная строка». 🔵«Арзамас» выложил в свободный доступ подкаст о квартирниках физика Александра Кривомазова. 🔵В Переделкине запустят мол

26🔥4👍2💘2

24 Aug 2026, 06:32 UTC816 views35 reactionsread 25 August 2026
Photo

Иллюстратор: Елена Смешливая Портфолио: SMESLENAART Город: Санкт-Петербург, Россия #находка

30👍3🔥2

23 Aug 2026, 10:30 UTC916 views39 reactionsread 25 August 2026
Photo

🔵Есть планы на следующие выходные? 🌸28–30 августа в московском ARTPLAY пройдёт фестиваль книжной иллюстрации и визуальной литературы МОРС 2026. В программе: выставка более 800 работ 127 иллюстраторов, лекции и мастер-классы для детей и взрослых, встречи с художниками и смотры портфолио, а также книжный и иллюстраторский маркеты. Среди специальных событий — показ фильма «Непокой», спектакль «Дюймовочка. Пикник с пир

24🔥8💘5👍2

22 Aug 2026, 10:16 UTC941 views57 reactionsread 25 August 2026
Photo

Livraria Simão 📌Лиссабон, Португалия Livraria Simão — крошечный букинистический магазин в Лиссабоне, спрятанный у лестницы Escadinhas de São Cristóvão. Его площадь — меньше четырёх квадратных метров, поэтому внутри одновременно помещается только один человек, но на полках умещается около 4 000 книг. Магазин открыл в 2008 году бывший преподаватель химии Симан Карнейру, переоборудовав старую табачную лавку. Здесь в ос

😍31❤‍🔥147👍3🆒2

21 Aug 2026, 16:26 UTC944 views33 reactionsread 25 August 2026
Photo

🔵Лето для страшных историй 💀Summerween — летний микро-тренд из BookTok, который предлагает не ждать октября для хорроров. Читатели собирают тематические списки и выбирают истории с летними декорациями: зловещие лагеря, одинокие домики у озера, пляжные городки, отели и курорты, где отдых быстро идет не по плану. В центре — хорроры, слэшеры и триллеры, но под настроение подходят и ироничные мистические романы или дете

22🔥7💘3👍1

21 Aug 2026, 06:32 UTC952 views20 reactionsread 25 August 2026
Photo

Каждую неделю редакторы рекомендуют свои книги 🔵Арина Ерешко - ведущий редактор направления «Художественная литература» в издательстве МИФ. Мир романа «Храни Короля» наполнен туманом и холодом, а всякая сила, обитающая в нем, очаровывает и пугает в равной мере: согревает огонь в очаге, но обжигает солнце на знаменах. В центре сюжета — мальчишка по имени Вольф. Он еще не вырос, но уже повзрослел. Его судьба щедра и

❤‍🔥15👍3👎2

Showing the 12 most recent of 39 posts we hold for @twelve_plots. 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

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 13 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.

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 10 September 2026 — this entry's latest reading, not the date you are reading this.

“12” (@twelve_plots), 7,830 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/twelve_plots.

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.