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Channel

Углемодное окно

@Uglemodnoye

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

14,173subscribers

-357 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001798748907
TypeChannel
Username@Uglemodnoye
Created4 March 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live11 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 11 September 2026
On Telegramt.me/Uglemodnoye

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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

14,17314,53014,351.57 August 2026 — 14,530 subscribers7 August 2026 — 14,530 subscribers7 August 2026 — 14,526 subscribers8 August 2026 — 14,507 subscribers9 August 2026 — 14,491 subscribers11 August 2026 — 14,476 subscribers11 August 2026 — 14,457 subscribers12 August 2026 — 14,451 subscribers14 August 2026 — 14,440 subscribers15 August 2026 — 14,422 subscribers16 August 2026 — 14,409 subscribers17 August 2026 — 14,387 subscribers18 August 2026 — 14,370 subscribers19 August 2026 — 14,361 subscribers20 August 2026 — 14,352 subscribers21 August 2026 — 14,347 subscribers22 August 2026 — 14,329 subscribers24 August 2026 — 14,308 subscribers25 August 2026 — 14,302 subscribers26 August 2026 — 14,288 subscribers27 August 2026 — 14,284 subscribers28 August 2026 — 14,274 subscribers29 August 2026 — 14,271 subscribers30 August 2026 — 14,259 subscribers1 September 2026 — 14,252 subscribers2 September 2026 — 14,249 subscribers3 September 2026 — 14,241 subscribers5 September 2026 — 14,228 subscribers8 September 2026 — 14,199 subscribers11 September 2026 — 14,173 subscribers7 August 202611 September 2026
30 measurements spanning 35 days, net -357. 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 14,119–14,584 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
11 Sept 2026, 10:0114,173-26
8 Sept 2026, 17:3614,199-29
5 Sept 2026, 09:1914,228-13
3 Sept 2026, 15:4214,241-8
2 Sept 2026, 10:0414,249-3
1 Sept 2026, 09:4614,252-7
30 Aug 2026, 11:1314,259-12
29 Aug 2026, 14:3714,271-3
28 Aug 2026, 16:1414,274-10
27 Aug 2026, 12:5314,284-4
26 Aug 2026, 12:1814,288-14
25 Aug 2026, 14:0214,302-6
24 Aug 2026, 14:2814,308-21
22 Aug 2026, 18:5214,329-18
21 Aug 2026, 12:3714,347-5
20 Aug 2026, 15:1414,352-9
19 Aug 2026, 18:2814,361-9
18 Aug 2026, 20:5314,370-17
17 Aug 2026, 19:4314,387-22
16 Aug 2026, 20:5614,409first reading

Engagement

27 posts held, back to 31 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 51 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.1%
avg views ÷ 14,173 subscribers
Avg views / post
1,860
19 posts measured
Reaction rate
2.40%
reactions ÷ views · ER floor
Posts in window
19
of 27 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 31 August 2026
Posts held27 (31 July 202631 August 2026)
Views total35,388
Reactions total850
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 18:54 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
2m 35s
Average length
17s

Measured directly from 9 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

1,290 reactions across 27 posts, in 24 distinct kinds. The most used accounts for 51.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
66551.6%
🔥16612.9%
🥰695.35%
😁584.50%
🤣584.50%
👌524.03%
😍443.41%
💯423.26%
👍191.47%
💔181.40%
🤩171.32%
🤪171.32%
👏161.24%
❤‍🔥110.853%
💅110.853%
😱70.543%
🤷‍♂60.465%
💊40.31%
👀20.155%
😐20.155%
4 further kinds60.465%

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 27 of the 27 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 1,290 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 27 most recent posts we hold, published 31 July 2026 to 31 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

31 Aug 2026, 20:59 UTC574 views39 reactionsread 2 September 2026
Photo

В этот «последний день летний», который уже даже не «стоит молча у двери», а открыл ее и машет, чтобы сильно не грустить, решила поделиться с вами культовыми образами Кайли Миноуг из клипа «Can’t Get You Out of My Head». Тогда, 2001 году я не могла отвести от них глаз. Спустя 25 ничего не поменялась — всё так же хочу этот сумасшедшей крутости белый комбез🫠 Признайтесь, хотели тоже?)

24💯8👌7

29 Aug 2026, 20:24 UTC827 views40 reactionsread 2 September 2026
Photo

В последние выходные лета, пока еще в вашей квартире не раздалось знаменитое сумрачное «хоа хоа хоа хоа хоа» или вы нетакуси?)), ловите сериальные рекомендации, которые мы с Максимом осилили за последнее время. Ну, во первых, вышел четвертый сезон «Тед Лассо»: добрейший сериал, когда просто очень хочется посмотреть что-то легкое, смешное и душевное. Сериал-антидепрессант — нам всем такое сейчас прописано. Четвертый

31👌5🥰2👍1🔥1

28 Aug 2026, 16:36 UTC856 views30 reactionsread 2 September 2026
Photo

Ну и Углемодное Окно Овертона в действии: я снова вышла без штанов. Зато на мне шелковая блуза, к сожалению, уже закрывшегося бренда Totti, кружевная юбка Love Republic из моей же подборки и итальянский вельветовый жакет неизвестного мне бренда уже давно перекочевавший ко мне из папиного гардероба. Отдельная любовь — перчатки с тату Glove.me (да, это те самые, что носит дочка Бьенсе Блу Айви). Совпадение подклада

20🔥6🥰4

27 Aug 2026, 20:58 UTC≈1,000 views33 reactionsread 2 September 2026
Photo

Если бы я была брендом одежды, я бы точно стучалась к EKONIKA за коллаборацией — всегда очень бережно к ДНК партнера, очень деликатная, тонкая и проработанная интеграция. Если бы я создавала бренд для своего внутреннего ребенка, он был бы похож на Pitkina — где уютно, спокойно, деревья большие, хорошо без повода. Такой интеллигентный наив и ностальгия. Очень славно получилось у этих брендов друг с другом переплести

15🥰9👌8🤣1

25 Aug 2026, 20:46 UTC≈1,100 views64 reactionsread 31 August 2026
Photo

Преимущественно два моих настроения в колечках из серебра «Куда Тёк Нил» и, конечно же, #вещьдня

😍2217🤣16💅8😁1

24 Aug 2026, 16:14 UTC≈1,250 views62 reactionsread 31 August 2026

Posted without readable text

🔥3219😍9👍1👏1

23 Aug 2026, 20:51 UTC≈16,300 views78 reactionsread 31 August 2026
Video

И, как всегда, лучшая в фан-фэшн-прочтениях — Анжелика Хикс)🤌🏻

🤣37🤩1712😁8🔥4

22 Aug 2026, 20:56 UTC≈1,330 views61 reactionsread 29 August 2026
Photo

Отвечаю, Матье Блази просто с кем-то поспорил, что придумает обувь без подошвы и ее все равно будут носить, потому что это Шонел. Вот Маргарет Куэлли рискнула даже не просто надеть пятконожки на красную дорожку, а прям прошлась по Лондону, результат на лицо, как говорится)

33🤪17💊4🤣4👍1🤨1😁1

21 Aug 2026, 22:50 UTC≈1,240 views60 reactionsread 28 August 2026
Photo

Сейчас из опций вечерней романтики — поехать вместе заправиться. Интересно, в этих очередях уже кто-нибудь знакомился? Потом же, возможно, через год полтора родятся первые маленькие Аиши и Вин Дизели с удивительной и уникальной историей от родителей

😁37💯14👏63

21 Aug 2026, 20:45 UTC≈1,270 views39 reactionsread 28 August 2026
Photo

Пошла мерить полосатый костюм Studio 29, и еще кое-что — все эти оттенки, конечно, как дыхание осени в затылок, пока ты подставляешь лицо к заходящему за тучки солнцу)

29👌5👍5

19 Aug 2026, 20:55 UTC≈1,330 views55 reactionsread 27 August 2026
Video

Нравится, что эта рубашка от Naohasa может даже в помещении как бы развеваться (да и развиваться тоже) на ветру, но в аэропорту на металлодетекторе досмотр будет скорее всего дополнительный

37🔥15👌3

17 Aug 2026, 19:37 UTC≈1,490 views39 reactionsread 25 August 2026
Photo

Рассматриваю осень у STUDIO 29 в коллаборации с Lamoda: даже какая-то легкая школьная ностальгия меня взяла в оттенках серого, темно-синего с вкраплениями красного и собранных силуэтах. Отдельно отмечу идеальный полосатый костюм на первой фотке — в стилизации с вьетнамками как элегантное непринятие смены сезонов)

26🥰9👌4

Showing the 12 most recent of 27 posts we hold for @Uglemodnoye. 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 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.

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.

Купи, молись, люби
@buy_pray_love · 46,135
Telegram ranks this channel #62 of 72 here — alongside 71 others — read 27 August 2026
kate.katkova
@katekatkova · 75,593
Telegram ranks this channel #65 of 74 here — alongside 73 others — read 6 September 2026
Модный маркетолог
@moda_marketingg · 31,408
Telegram ranks this channel #70 of 74 here — alongside 73 others — read 6 September 2026
Готовьте кошельки
@koshelky · 26,912
Telegram ranks this channel #72 of 83 here — alongside 82 others — read 11 September 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Углемодное окно” (@Uglemodnoye), 14,173 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/Uglemodnoye.

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.