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 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
26 measurements spanning 35 days, net -119. 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 15,844–15,999 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
17 Sept 2026, 11:02
15,862
-11
15 Sept 2026, 11:00
15,873
-25
13 Sept 2026, 21:17
15,898
-5
12 Sept 2026, 04:41
15,903
-10
9 Sept 2026, 20:36
15,913
-1
6 Sept 2026, 09:57
15,914
-8
4 Sept 2026, 05:21
15,922
-6
2 Sept 2026, 15:48
15,928
-4
1 Sept 2026, 16:05
15,932
-5
31 Aug 2026, 12:35
15,937
-2
30 Aug 2026, 09:24
15,939
-3
29 Aug 2026, 10:29
15,942
-2
28 Aug 2026, 09:12
15,944
-1
27 Aug 2026, 08:27
15,945
-1
26 Aug 2026, 10:13
15,946
-1
25 Aug 2026, 11:55
15,947
-1
24 Aug 2026, 08:46
15,948
-4
22 Aug 2026, 14:06
15,952
-3
21 Aug 2026, 05:46
15,955
-3
20 Aug 2026, 03:22
15,958
first reading
Engagement
21 posts held, back to 15 July 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 38 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.44%
avg views ÷ 15,862 subscribers
Avg views / post
864
2 posts measured
Reaction rate
2.32%
reactions ÷ views · ER floor
Posts in window
2
of 21 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 28 August 2026
Posts held
21 (15 July 2026 – 28 August 2026)
Views total
1,727
Reactions total
40
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:12 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
8m 04s
Average length
30s
Measured directly from 16 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
482 reactions across 21 posts, in 10 distinct kinds. The most used accounts for 58.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
281
58.3%
🔥
92
19.1%
❤🔥
31
6.43%
😁
29
6.02%
👏
21
4.36%
🤩
19
3.94%
😢
4
0.83%
🌭
2
0.415%
🥰
2
0.415%
👌
1
0.207%
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 21 of the 21 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 482 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 15 July 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.
У нас много собак, а значит, и шерсти тоже немало 🐶😅
Но мы нашли способ справляться с ней без постоянной уборки. Пока кто-то пишет комментарии про шерсть — мы просто берем Yaber Home X20 и решаем проблему 🤭🐾Это, кстати, бренд современных пылесосов премиум-класса для автоматической и ручной уборки.
И первое, что меня удивило — он очень легкий. Весит меньше 2 кг, поэтому его реально удобно держать и переносить одной …
Зимняя армянская аппетитка 🤍
А рецептик полный будет в нашел канале в МАКС❤️
Переходите туда, всех ждём 🫶🏻 ссылочка - https://max.ru/join/BywAvCMahKIPO2sBLUs8VrI00cPblyuae6BcNXFKzv4
Дозировки на 10 литров воды
Лимонная кислота 1 ст.ложка с горкой
Акварин для гортензий 2 ст.ложки
Лингогумат калийный 4 ст.ложки
Сульфат магния 1 ст.ложка с горкой
Халат железа 1 ст.ложка
Удобряем раз в три недели.
В промежутках между внесением этого удобрения, я еще проливаю один раз подкисленной водой все кусты , 1 ст.ложка лимонной кислоты на 10 литров воды.
Рецепты в сборнике :
-Томат
-Баклажаны в ткемали
-Аджапсандал на зиму
-Хрен со свеклой на зиму
-Запеченые баклажаны в масле
-Аджика ореховая
-Стручковая фасоль в томате
-Сацебели
-Помидоры «Пальчики оближешь»
-Помидоры в собственном соку
-Маринованна свекла
-Маринованные арбузы
-Болгарский перец с хрустящей капустой
-Кабачки по грузински на зиму
-Салат «сытный барин»
-Огурцы в аджике
-Лечо
-Аджика зеленая без варки
…
Наш АВТОРСКИЙ сборник рецептов на зиму «ВКУСНЫЙ ПОГРЕБОК», который сейчас будет актуален для каждой хозяюшки 🔥
40 рецептов в одной книге! И по самой низкой цене 🔥🔥🔥
Чтобы приобрести сборник, напишите по ссылке менеджеру - https://t.me/alntvsx
«ХОЧУ СБОРНИК»
Уревелись мы сегодня от этого серебряного носика .
Сегодня нашему любимчику уже 8 лет…
Через лет 10 этот кулончик будет самым бесценным🙏🏻
Бренд @kot_o_mama - это не просто украшение, это символ вашей любви к вашему пушистому другу.
🤍каждый кулон изготавливается из качественного серебра;
🤍все изделия делают индивидуально по слепку вашего питомца;
🤍слепок делают из безопасного, медицинского материала;
🤍вы сами выбир…
Султанские сладости 🔥прямиком ИЗ ТУРЦИИ 🇹🇷
1 кг - 1500₽
500гр - 800₽
Этот набор восточных сладостей покоряет с первой минуты, поднимает настроение и дарит наслаждение от чаепития!
Очень хорошее качество этих сладостей, все свежее, ароматное.
Вот могут турки удивить сладостями и специями.
ДЛЯ ЗАКАЗА ПИШИТЕ ПО ССЫЛОЧКЕ - https://t.me/alntvsx
❤12
Signed L I N A
Showing the 12 most recent of 21 posts we hold for @vkysnosmarysei. 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.
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.
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.
АДИЛЕ @adile.mommy ❤️ @adilemommyy · 70,722 Telegram ranks this channel #29 of 73 here — alongside 72 others — read 20 August 2026
tanya_derzhits @tanya_derzhits · 69,494 Telegram ranks this channel #39 of 68 here — alongside 67 others — read 20 August 2026
Mariya_Allabyan @Mariya_Allabyan · 66,409 Telegram ranks this channel #46 of 57 here — alongside 56 others — read 21 August 2026
anka_provincialka @anka_provincialka1 · 60,716 Telegram ranks this channel #47 of 68 here — alongside 67 others — read 24 August 2026
venera_os 🍍 Венера Осепчук @venera_oss · 142,341 Telegram ranks this channel #49 of 78 here — alongside 77 others — read 13 August 2026
Аннушка Адамова @Annushka_adamova · 65,347 Telegram ranks this channel #52 of 70 here — alongside 69 others — read 24 August 2026
Львова Ольга @ljvova_olga1 · 75,283 Telegram ranks this channel #67 of 73 here — alongside 72 others — read 19 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“ДВОЕ ДОМА 🏡” (@vkysnosmarysei), 15,862 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/vkysnosmarysei.
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.