Other / unclassifiable — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 60% 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 measurements spanning 6 days, net -173. 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 115,386–115,611 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 16:53
115,412
-56
11 Aug 2026, 19:36
115,468
-52
10 Aug 2026, 21:56
115,520
-47
9 Aug 2026, 21:52
115,567
+55
9 Aug 2026, 00:55
115,512
+9
7 Aug 2026, 22:37
115,503
-55
6 Aug 2026, 20:10
115,558
-27
6 Aug 2026, 09:45
115,585
first reading
Engagement
31 posts held, back to 1 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
15.5%
avg views ÷ 115,412 subscribers
Avg views / post
17,900
31 posts measured
Reaction rate
4.94%
reactions ÷ views · ER floor
Posts in window
31
of 31 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 12 August 2026
Posts held
31 (1 August 2026 – 12 August 2026)
Views total
554,020
Reactions total
27,391
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 18:25 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
≈3,570
Videos
≈841
Links
≈367
Lifetime counters from Telegram’s own channel header, read 12 August 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
4m 17s
Average length
43s
Measured directly from 6 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
27,391 reactions across 31 posts, in 14 distinct kinds. The most used accounts for 62.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
17,192
62.8%
❤🔥
3,348
12.2%
🔥
3,165
11.6%
🍓
854
3.12%
🥰
644
2.35%
👎
540
1.97%
🤔
349
1.27%
😱
310
1.13%
🦄
283
1.03%
⚡
208
0.759%
🤩
192
0.701%
👍
141
0.515%
😁
130
0.475%
👏
35
0.128%
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 31 of the 31 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 27,391reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 1 August 2026 to 12 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.
Telegram Stars
Stars received
33
across the posts below
Posts paid on
18
of 31 we hold a reading for · 58%
Most on one post
10
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @graphdg. 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 31 most recent posts we hold for this entry, published 1 August 2026 to 12 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.
Я купила платье на Свадьбу💍 но опять не на свою
Это уже вторая свадьба на которую меня пригласили, и мне не хотелось повторятся, поэтому взяла супер неожиданный цвет для себя.
В Дресс-коде были оттенки (бордо, коричневый, оливковый, капучино, черный)
Но по-моему выглядит роскошно, еще и эти туфли🤤
Как считаете какую сделать сюда прическу?
• Длинные волосы на заколках и уложить в волну
• Кудрявый метод и убрать в…
ДЕНЬ 6 📹 Сегодня делаем фотку, типа случайно попала в камеру на кассе🖕🏻🤪
Здесь вся фишка именно в эффекте камеры видеонаблюдения: странный ракурс сверху, размытие, шумы, плохое качество и ощущение случайно пойманного кадра.
Чем менее «идеально» выглядит результат тем лучше 🤤
ПРОМПТ 👇🏻 { “image_description”: { “title”: “Surveillance Feed: Defiant Subject in Retail Shop”, “aspect_ratio”: “4:5”, “mood”: “Raw, gritt…
Я сидела укорачивала juicy штаны, потому что во всех ателье по близости это стоит 5К
Просто мне надо не одни подкоротить, а штуки 3-4 и джинсы
Крч сидела сама подшивала, и кстати очень круто вышло!
Правда игла под конец погнулась. Ну это у меня машинка просто 1000р стоила🤣
Я уже заказала новые иглы, буду остальные подшивать.
Ушел час😌💅
Да-да это та машинка на которой я шила костюм из волос
А вы что делаете, есл…
ДЕНЬ 5 🍓🥤 новый ПРОМТ
Сегодня делаем вот эту необычную фотку со Starbucks 💚
Мне очень нравится, как здесь получился ракурс - будто камера находится прямо внутри стакана, а мы смотрим снизу через напиток 👀
Выглядит сложно, но как раз за счёт подробно прописанного промпта ИИ понимает, что от него нужно.
ПРОМПТ 👇🏻
{ “prompt”: “View from inside a Starbucks strawberry frappuccino cup looking up, fisheye lens extreme di…
Сегодня сделала макияж по своему eye-maxxing 👀💜
Это сейчас тренд в ТикТок подбирать оттенки макияжа, которые максимально подчёркивают именно ваш цвет глаз.
Я тоже сняла про это видео!
И оказалось, что для моих тёмно-карих глаз идеально подходят фиолетовые, сливовые, баклажановые и лавандовые оттенки 💜
Я была в шоке, потому что фиолетовый макияж не делала сто лет и вообще не смотрела в сторону этого цвета
А сейч…
ДЕНЬ 4 — делюсь новым промтом. Мне так нравится детализация этого фото🤤
Тут много мелких деталей, поэтому если с первого раза получится не совсем то попробуйте сделать ещё несколько генераций 👀
ПРОМПТ 👇🏻
“text_content”: “Multiple small logos and words (e.g., ‘POP ME’)” }, { “id”: “obj_005”, “label”: “Hair strands”, “category”: “Hair”, “location”: “Left and right edges framing face”, “prominence”: “Background/fore…
ДЕНЬ 3 — ПРОМПТ НА ЭТУ ФОТКУ ПРОСИЛИ ПРОСТО ВСЕ 😭🤌🏻
Я реально столько сообщений получила именно про нее 💙
ПРОМПТ:
A stunning high-fashion model wearing a Christian Dior summer outfit — cream silk blouse, navy blue oblique monogram silk scarf, oversized gold-frame sunglasses pushed up on her head, sitting gracefully on a Christian Dior x Vespa 946 scooter in pearl white and gold, parked against an aged Italian stone…
ДЕНЬ 2 — новый промпт 🎀💗
Сегодня делаем вот эту фотку в стиле Барби 💅🏻
Сразу предупреждаю: промпт достаточно сложный, поэтому может получиться не с первой генерации.
Иногда ИИ нужно несколько попыток, чтобы нормально собрать все детали.
У меня идеальный вариант получился со второго раза 👀
Так что если первая генерация вышла странной — просто запускайте ещё раз, не меняя промпт.
ПРОМПТ 👇🏻
{
"image_generation_pro…
Еще я сделала Ламинирование ресниц за 40мин
Мастера уже позавидовали?
❤635🔥103⚡60❤🔥16🍓12👎4
Showing the 12 most recent of 31 posts we hold for @graphdg. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 541,711 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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.
DOSHIK @de1shik · 148,039 Telegram ranks this channel #8 of 51 here — alongside 50 others — read 12 August 2026
ZAVIDOVA @zavidushkimoi · 162,148 Telegram ranks this channel #13 of 57 here — alongside 56 others — read 12 August 2026
INSTASAMKA @instasamkacore · 445,402 Telegram ranks this channel #21 of 58 here — alongside 57 others — read 10 August 2026
Eva Miller🏄🏼♀️ @evamillershaaa · 169,950 Telegram ranks this channel #37 of 47 here — alongside 46 others — read 12 August 2026
Даник и Тайная комната @dikiidanik · 428,287 Telegram ranks this channel #48 of 59 here — alongside 58 others — read 10 August 2026
Милс Кел (Play) @meels_kel · 329,579 Telegram ranks this channel #50 of 57 here — alongside 56 others — read 10 August 2026
здесь живет броен @br1anm7ps · 1,085,161 Telegram ranks this channel #55 of 59 here — alongside 58 others — read 8 August 2026
This channel appears in 7 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“ул.Графская️👑” (@graphdg), 115,412 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/graphdg.
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.