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 91% 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
22 measurements spanning 43 days, net -6,989. 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 6,271–19,729 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)
Subscribers
Change
19 Sept 2026, 15:40
10,330
-98
17 Sept 2026, 03:39
10,428
-46
15 Sept 2026, 04:57
10,474
-42
13 Sept 2026, 12:59
10,516
-45
11 Sept 2026, 15:55
10,561
-119
8 Sept 2026, 23:41
10,680
+1,192
3 Sept 2026, 10:05
9,488
-1,444
2 Sept 2026, 04:18
10,932
-31
1 Sept 2026, 04:05
10,963
-41
31 Aug 2026, 04:56
11,004
-9
30 Aug 2026, 05:08
11,013
-36
29 Aug 2026, 08:13
11,049
+2,395
26 Aug 2026, 04:57
8,654
-1,946
25 Aug 2026, 05:13
10,600
-7,576
24 Aug 2026, 06:14
18,176
+10,087
20 Aug 2026, 20:37
8,089
+265
17 Aug 2026, 17:25
7,824
-99
14 Aug 2026, 15:36
7,923
-217
11 Aug 2026, 14:34
8,140
-228
8 Aug 2026, 21:53
8,368
first reading
Engagement
31 posts held, back to 4 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 26 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.6%
avg views ÷ 10,330 subscribers
Avg views / post
1,720
16 posts measured
Reaction rate
9.18%
reactions ÷ views · ER floor
Posts in window
16
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 2 September 2026
Posts held
31 (4 August 2026 – 2 September 2026)
Views total
27,517
Reactions total
2,527
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 02:32 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 31s
Average length
15s
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
4,737 reactions across 31 posts, in 11 distinct kinds. The most used accounts for 20.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
946
20.0%
🔥
918
19.4%
👍
825
17.4%
🤩
624
13.2%
😍
617
13.0%
❤🔥
342
7.22%
⚡
172
3.63%
👏
113
2.39%
🎉
91
1.92%
🥰
70
1.48%
💯
19
0.401%
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 4,737 reactions 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 4 August 2026 to 2 September 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.
Подбирала для мамули новый уход в ЗЯ и обратила внимание на бренд Luvine🎀
📎У бренда много линеек для различных типов кожи
Хорошая концентрация активов, формулы разработаны косметологами и ведущими технологами
Делюсь ссылочками продуктов, которые я выбрала:
📍Противоотечная маска для лица с ментолом menthol and arnica
📍Универсальный тоник для лица face tonic
📍Увлажняющая пенка для умывания cleansing foam
📍Сыворо…
Частенько захожу к бренду Annbleor в поисках ароматных новинок для тела🤩
В этот раз нашла лимитку: парфюмированные крем-сливки по мотивам популярного аромата «Amouage»
🤩Увлажняет и питает кожу, устраняет сухость, восстанавливает кожу после загара, сохраняет эластичность
В составе очень много масел для максимального питания и увлажнения
Вы просили — мы показываем
Распаковка покупок для Мии 🛍
Каждый сезон я собираю ей луки из новых коллекций Gloria jeans и ни разу не ошиблась:
💋прекрасное качество, вещи буквально долгожители
💋огромный ассортимент стильной одежды
💋размеры идут в размер, что довольно редко! можно покупать детские вещи без примерки
На самом деле, на сайте выбора еще больше!
Вы только посмотрите на принты из коллекции «Пятнистые тр…
Распаковка из CR 🖤
Бренд молодежной одежды, где можно найти как нестандартные вещи, так и базу👚
Зашла за темными джинсами на осень, ушла с огромным пакетом🛍
качество ☝️
фасоны ☝️
принты ☝️
Так же, много обуви и аксессуаров! Только посмотрите на мою новую сумку🦦
Обновила вечерний уход новыми минималистичными баночками от BEZISLOVNO🧴
Ночная крем-маска для питания и восстановления кожи:
масло манго и арганы
эластин + гидролизованный коллаген
комплекс церамидов
пептиды (аргирелин + леофазил)
D-пантенол + алоэ-вера 10:1
🧖♀️Интенсивно восстанавливает, придает лифтинг и увлажнение кожи
Питательный вечерний крем вокруг глаз:
пептиды
витамин Е
СО2 экстракт зеленого кофе
масло ч…
Ловите удачу за хвост вместе с ЭКОНАД®!
Девочки, у ЭКОНАД® сейчас проходит розыгрыш с очень приятными призами, и я уже нашла свою баночку для участия.
Очень надеюсь, что удача окажется на моей стороне и я выиграю путешествие для двоих.
А ещё ЭКОНАД® решил порадовать не только покупателей: среди подписчиков Telegram-канала тоже будут проходить розыгрыши
Так что подписывайтесь на ЭКОНАД®, участвуйте вместе со мной и…
Показываю баночки, которые взяла с собой в поездку
Так как мне предстоит еще пару недель без садика, я взяла с собой натуральный экстракт гриффонии 5-HTP⭐️
Он помогает организму синтезировать серотонин, тем самым:
💋снижает тревожность и улучшает настроение
💋помогает расслабиться и легче засыпать
💋улучшает эмоциональный фон
В Москве уже закончилось лето, но на юге оно еще продолжается☀️
Все лето принимаю Астаксантин…
❤36👍26🔥23🤩21⚡16
Showing the 12 most recent of 31 posts we hold for @khamitovamom. 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
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“KHAMITOVA” (@khamitovamom), 10,330 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/khamitovamom.
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.