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 73% 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.
Previous handles
@moyamargosha was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.
@moyamargosha held 7 August 2026 – 7 August 2026
Growth
30 measurements spanning 39 days, net -1,378. 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 17,844–21,519 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
15 Sept 2026, 10:37
19,717
-81
13 Sept 2026, 20:17
19,798
-109
12 Sept 2026, 00:37
19,907
-68
9 Sept 2026, 18:58
19,975
-146
6 Sept 2026, 09:55
20,121
+1,853
3 Sept 2026, 23:59
18,268
-82
2 Sept 2026, 16:37
18,350
-63
1 Sept 2026, 18:35
18,413
-52
31 Aug 2026, 20:53
18,465
-33
30 Aug 2026, 22:06
18,498
-38
29 Aug 2026, 22:14
18,536
-15
28 Aug 2026, 23:45
18,551
-27
27 Aug 2026, 23:55
18,578
-27
26 Aug 2026, 21:16
18,605
-20
25 Aug 2026, 18:24
18,625
-23
24 Aug 2026, 19:56
18,648
-54
23 Aug 2026, 03:06
18,702
-1,522
21 Aug 2026, 11:58
20,224
-333
20 Aug 2026, 13:18
20,557
-131
19 Aug 2026, 12:05
20,688
first reading
Engagement
25 posts held, back to 25 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 57 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.4%
avg views ÷ 19,717 subscribers
Avg views / post
2,640
2 posts measured
Reaction rate
10.9%
reactions ÷ views · ER floor
Posts in window
2
of 25 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 27 August 2026
Posts held
25 (25 July 2026 – 27 August 2026)
Views total
5,270
Reactions total
573
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 08:53 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 27s
Average length
1m 14s
Measured directly from 2 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
1,298 reactions across 23 posts, in 12 distinct kinds. The most used accounts for 36.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
468
36.1%
🥰
269
20.7%
🔥
225
17.3%
💯
112
8.63%
😘
72
5.55%
😁
47
3.62%
🤝
38
2.93%
❤🔥
28
2.16%
💋
27
2.08%
💅
6
0.462%
😢
3
0.231%
🤯
3
0.231%
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 23 of the 25 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 1,298 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 25 July 2026 to 27 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.
✨ Моя находка года для идеального тона: продукт, который заменил мне весь уход и тяжелые базы
Кажется, я наконец нашла тот самый «эффект своей кожи, только в миллион раз лучше». Если вы искали легкое тон-покрытие, которое не ощущается маской, не забивает поры и при этом дает то самое здоровое, свежее сияние изнутри — это абсолютный фаворит!
Что делает его особенным:
⦁ Легкое, но перекрывающее покрытие: Идеально выр…
Заглянула сегодня в Gloria Jeans — и, кажется, влюбилась окончательно!
Новая коллекция получилась просто волшебной 🤩
Особенно покорил офисный дресс-код
Настоящая эстетика: так женственно, грациозно и с безупречным чувством стиля. Глядя на эти силуэты, даже захотелось на работу — невероятное вдохновение!
Мои любимые находки
🤩Рубашка со стразами — само изящество. Деликатное россыпное сияние придает образу нотку рос…
Ваш ежедневный щит для здоровой улыбки — ополаскиватель YOUNIQ «Защита десен» (400 мл) 🌿
Натуральные экстракты и эфирные масла в составе укрепляют десны, снимают воспаления и дарят свежесть на весь день. В паре с одноименной зубной пастой работает как мощный барьер против бактерий и кровоточивости.
Артикул: 2561707795
У меня есть один маленький ритуал, который задаёт настроение всему отпуску: перед каждой поездкой на море я обязательно заказываю новый бьюти-бокс 🌊
Для меня это особый вид кайфа — приехать в отель, распаковать свежие баночки и пробовать новые средства под шум волн. Заказываю сейчас только Pharmacosmetica, потому что там всегда идеальный набор аптечного ухода.
В этот раз состав — просто 100% попадание в сердце:
⦁ К…
Вы только взгляните на этот безумно стильный темный флакончик! 🖤😻
Я просто в полнейшем восторге, ведь у меня в руках самый загадочный и очаровательный парфюм Mur Mur Noir от Faberlic!
главная милота — это тот самый невероятно мягкий и кокетливый пушистик на крышечке! 🧸💓
Его хочется гладить бесконечно, он мгновенно вызывает улыбку и делает этот флакон главным украшением бьюти-столика! 🤩
А сам аромат — это чистый с…
🤩Магия уютных вечеров и красивых бьюти-ритуалов 🤩
🤩🤩
🤩🤩Собрала идеальную комбинацию: тени Glam Power от FABERLIC в глубоком графитовом оттенке и их духи O Feerique Sensuelle
🩷 Тени Glam Power в оттенке «Графитовое удовольствие» ложатся невероятно мягко, создавая невесомый сатиновый финиш на веках. С ними взгляд становится более глубоким и выразительным, но при этом без лишней тяжести.
🩷А завершает образ парфюм O Fe…
Showing the 12 most recent of 25 posts we hold for @moyamargosha. 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
@moyamargosha edited 1 post 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
17 August 2026
Most recent edit
17 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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Маргоша” (@moyamargosha), 19,717 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/moyamargosha.
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.