Ecommerce storefront — 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
33 measurements spanning 42 days, net +802. 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 11,732–12,801 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 19:19
12,663
-15
16 Sept 2026, 09:42
12,678
+7
14 Sept 2026, 17:20
12,671
+20
13 Sept 2026, 06:14
12,651
+2
11 Sept 2026, 05:41
12,649
+30
8 Sept 2026, 12:15
12,619
+307
5 Sept 2026, 05:38
12,312
-1
3 Sept 2026, 09:17
12,313
+2
2 Sept 2026, 00:54
12,311
+2
1 Sept 2026, 00:38
12,309
+3
31 Aug 2026, 03:13
12,306
+1
30 Aug 2026, 00:25
12,305
+4
29 Aug 2026, 01:05
12,301
+10
28 Aug 2026, 04:03
12,291
+27
27 Aug 2026, 04:18
12,264
+90
26 Aug 2026, 03:18
12,174
+58
25 Aug 2026, 00:14
12,116
-6
23 Aug 2026, 10:16
12,122
+2
21 Aug 2026, 23:18
12,120
+19
20 Aug 2026, 19:54
12,101
first reading
Engagement
35 posts held, back to 5 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.8%
avg views ÷ 12,663 subscribers
Avg views / post
1,750
2 posts measured
Reaction rate
2.18%
reactions ÷ views · ER floor
Posts in window
2
of 35 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 29 August 2026
Posts held
35 (5 August 2026 – 29 August 2026)
Views total
3,490
Reactions total
76
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 22:36 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
3m 19s
Average length
18s
Measured directly from 11 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
919 reactions across 35 posts, in 15 distinct kinds. The most used accounts for 78.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
724
78.8%
🔥
98
10.7%
🥰
24
2.61%
❤🔥
23
2.50%
👍
18
1.96%
🤣
8
0.871%
🎉
6
0.653%
⚡
5
0.544%
👏
3
0.326%
🤝
3
0.326%
💋
2
0.218%
😱
2
0.218%
👀
1
0.109%
😁
1
0.109%
😍
1
0.109%
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 35 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 919 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 35 most recent posts we hold, published 5 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 35 we hold a reading for · 3%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @gorbunova1106. 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 35 most recent posts we hold for this entry, published 5 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.
Advertising
Ad load
2.86%
1 of 35 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,290
over 1 measured post
Median views · rest
1,390
over 34 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2SDnjcG5e2o
1
13 August 2026
13 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 35 most recent posts we hold, published 5 August 2026 to 29 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Блузка, есть еще в бежевом цвете)
Ссылку тут
Жилет (моего размера не было, взяла тот, который был) (есть другие цвета)
Ссылка тут
Юбка , есть другие цвета😎
Ссылка тут
Рубашка 80% хлопка - 6 цветов
Ссылка тут
Брюки палаццо
Ссылка тут
Идеально на офис и на 1 сентября 😍❤️
Ссылка леггинсы
А вот верха - красный - бренд на SHEIN LYSMO
А черный SHEIN MUSERA
Но не нашла сейчас в наличии)
По поводу выкупа, скоро сделаю анонс, пока проверяю как мне доедет посылка😄 сами вещи будут теперь дешевле)а доставка будет идти напрямую к Вам (до этого все шло мне, я рассортировывала и еще отдельно отправляла каждой из Вас) курс тоже будет теперь выгоднее)
Я вообще и не думала, что на размер 64 существуют милые паутинки) ухватила серую, так как сильно люблю сочетание серого и золота.😎😍
Образ выгуляли - не жарко, но в то же время тепло) идеально для работы в помещениях)
Поддевать можно топ или майку, чтобы не так открыто было)
Много других цветов.
Однозначно лайк
Паутинка 🔗
Джинсы Асос - не нашла их больше в наличии.
Браслеты на полную руку 🔗
Лиф - брала на SHEIN
Продавать буду тут❤️
https://t.me/+0sTnrviPgXc0NTEy
Как раз пока мне будут убирать дом, я максимально разберу комнату с вещами.
Так же напишите мне те, кто нуждается в вещах.
Есть те, которые ну уже не продать 🤪но и не выкинуть.
Сегодня обсудили наши глобальные жизненные цели 😂
И выяснилось, что на самом деле мы хотим не так уж много:
-покупать красивые платья
-завтракать и обедать в красивых местах
- долго гулять с собачками
- пить кофе, никуда не торопясь
- и желательно вообще не думать о том, как заработать на всё вышеперечисленное 😂
В общем, план на жизнь составлен.
Осталось решить одну маленькую техническую деталь - кто всё это буде…
Мои самые большие любимчики, дышащий материал, всегда шикарная поддержка и красивая форма груди 🥰
Бежевый с черной окантовкой и съемными стрепами (мои стрепы утащил Даффи 😂а я ток вчера все приготовила ко съемке) ссылка
Желтый в начале видео ссылка
Коричневый сетчатый ссылка
Малиновый ссылку (есть еще черный и белый)
красный со вчерашних сторис ссылка
Белый с цветочками ссылка
Красивое бельё -не привилегия определённого размера ❤️🔥
Этот комплект создан для пышных форм)) эффектный, женственный и невероятно соблазнительный. Подчёркивает фигуру, красиво садится и напоминает главное - сексуальность не измеряется размером одежды.😍
Ссылка 🔗
Сегодня была примерка джинс😋
Естественно, носим с пиджаками, кардиганами, оверсайз свитшотами и так далее, я показываю так, чтобы было видно как сидят.
Сзади резинку, удобно наклоняться, сидеть, не сковывает движения.
Джинсы
Кофта
Браслеты
❤27
Showing the 12 most recent of 35 posts we hold for @gorbunova1106. 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.
Posts edited after publishing
@gorbunova1106 edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
10 August 2026
Most recent edit
26 August 2026
Mentions
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.
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.
“Горбунова plus size 🪼” (@gorbunova1106), 12,663 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/gorbunova1106.
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.