Other / unclassifiable — 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 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
28 measurements spanning 41 days, net +1,398. 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 3,502–31,683 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
17 Sept 2026, 13:38
23,291
+14,016
13 Sept 2026, 13:21
9,275
-4,298
11 Sept 2026, 19:56
13,573
+173
9 Sept 2026, 09:15
13,400
-5,122
6 Sept 2026, 01:20
18,522
-4
3 Sept 2026, 22:18
18,526
-8,266
2 Sept 2026, 10:32
26,792
+62
1 Sept 2026, 12:25
26,730
+6,023
31 Aug 2026, 11:35
20,707
+2,965
30 Aug 2026, 08:34
17,742
-5
29 Aug 2026, 09:58
17,747
-19
28 Aug 2026, 08:36
17,766
+50
27 Aug 2026, 07:44
17,716
+4
26 Aug 2026, 07:18
17,712
+8
25 Aug 2026, 10:47
17,704
-852
24 Aug 2026, 08:14
18,556
-1,726
22 Aug 2026, 14:03
20,282
-8,149
21 Aug 2026, 03:51
28,431
+21,612
17 Aug 2026, 21:33
6,819
+65
14 Aug 2026, 22:13
6,754
first reading
Engagement
80 posts held, back to 6 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 45 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.39%
avg views ÷ 23,291 subscribers
Avg views / post
1,020
38 posts measured
Reaction rate
3.51%
reactions ÷ views · ER floor
Posts in window
39
of 80 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 3 September 2026
Posts held
80 (6 August 2026 – 3 September 2026)
Views total
38,825
Reactions total
1,364
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:31 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 11s
Average length
18s
Measured directly from 4 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
2,726 reactions across 77 posts, in 3 distinct kinds. The most used accounts for 76.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💋
2,082
76.4%
custom 5233408793953469339
575
21.1%
custom 5233571908221441152
69
2.53%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 77 of the 80 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 2,726 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 80 most recent posts we hold, published 6 August 2026 to 3 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 78 we hold a reading for · 1%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @pangisunovna. 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 80 most recent posts we hold for this entry, published 6 August 2026 to 3 September 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.
Еще одна супер штучка от MYMUSE
Это несмываемый крем-спрей 15 в 1. Наношу его на мокрые волосы по всей длине, затем сушу и укладываю — и вот после укладки волосы выглядят намного более гладкими, мягкими и ухоженными✨
💗Мне понравилось, что спрей сразу закрывает несколько задач: облегчает расчёсывание, глубоко увлажняет, убирает пушистость и работает как термозащита.
💗В составе кератин, пантенол и витамин Е, а всего…
Алименты — это прежде всего про ребёнка 🦉
На днях узнала о проекте «Детский щит» — цифровой системе алиментов, которую предлагает партия «Новые люди».
Тема для меня не просто абстрактная. Мой папа начал платить алименты только тогда, когда мне исполнилось 12 лет. Получается, первые десять лет с момента нашей жизни отдельно, никакой финансовой поддержки не было.
Именно поэтому мне кажется важной сама идея проекта: …
Материнство — часть меня, но не вся я 🦉
До рождения ребёнка я уже была женщиной, личностью, человеком со своими мечтами, интересами, планами и желаниями. И появление ребёнка не должно стирать всё это.
Да, материнство стало огромной частью моей жизни. Я люблю быть мамой, люблю наши маленькие моменты, люблю наблюдать, как растёт Марьяна. Но вместе с этим я всё ещё остаюсь собой🦉
Мне всё так же хочется работать, что-…
Очень вкусное пополнение от «Вообразилия Три Кота»🦉
Кажется, тут я сама немного ребёнок🦉Потому что «Три кота» + молочный коктейль — ну как пройти мимо?
Сначала попробовали один коктейль, и всё — я поняла, что нужно брать ещё 🦉 Поэтому не стала мелочиться и сразу взяла пять упаковок разных вкусов:
🦉 клубничный
🦉 шоколадный
🦉 банан в карамели
🦉 баблгам
🦉 мороженое
И честно, это лучшие молочные коктейли, которые…
Как обычно, зашла в Pinterest буквально «на пять минут» за вдохновением… и снова куда-то исчезла🦉
На этот раз мой главный объект залипания — постельное бельё 🦉Не знаю, как у вас, но для меня именно такие детали создают то самое ощущение уютного дома. Красивое бельё, мягкие подушки, плед — и даже обычный вечер сразу становится приятнее.
Собрала несколько вариантов, которые особенно запали мне в душу, и решила показа…
Маленький набор большой заботы ✨
Сегодня покажу вам несколько средств от bimunica для ухода за малышами. Я уже хорошо знакома с этим брендом, поэтому когда дело дошло до сбора подарков для любимок, взяла без раздумий🦉
✨ Лёгкое молочко для младенцев — быстро впитывается, увлажняет и успокаивает кожу. В составе масла миндаля, ши и жожоба, пантенол, алоэ и ромашка.
✨ Средство для купания и шампунь 2 в 1 — мягко очища…
Взяла Марьяше на будущее такие чудесные книжечки 🦉
Это серия «Читаем по слогам» — книги, которые помогают ребёнку постепенно перейти от первых попыток чтения к более уверенным текстам.
🦉Мне понравилось, что здесь всё продумано по уровням сложности: сначала короткие слова и простые предложения, а дальше тексты становятся длиннее и интереснее. Получается, что ребёнок идёт маленькими шагами и не теряет интерес к чтени…
Недавно показывала вам масочку от MY MUSE, а теперь решила попробовать ещё шампунь и бальзам 🌸
Взяла линейку SOS-восстановление — сразу оба средства, да ещё и в объёме по 1000 мл. Думаю, этого запаса хватит надолго 🦉
💗 Шампунь с гидролизованным кератином и экстрактом клубники мягко очищает волосы и кожу головы, питает и помогает сделать волосы более гладкими, блестящими и послушными.
💗 Бальзам с клубничным соком, …
🎓🎓🔤🔤🔤🔤🔤🔤
🎓🎓🔤🔤🔤🔤
Мне уже не нужно собирать рюкзак, спешить на пары или переживать из-за контрольных — учёба давно позади🎓А 1 сентября теперь просто первый день осени🎓
А всех, кто сегодня возвращается за школьные парты или в университет, поздравляю! Пусть этот учебный год будет лёгким, интересным и принесёт много новых знаний и приятных моментов 🎓🎓
А теперь давайте немного поностальгируем🎓
Напишите ваше самое тёплое…
SPF, который теперь всегда со мной 🦉
Мой новый любимчик для защиты от солнца — 11I PROFESSIONAL SPF 50+ 🦉
Мне особенно нравится, что у него лёгкая текстура: быстро впитывается, не оставляет ощущения тяжёлого крема и при этом помогает убрать лишний блеск.
Ещё один плюс — водостойкая формула, поэтому этим летом это была вообще незаменимая вещь: пляж, прогулка, отпуск — брала с собой везде🦉
Делюсь ссылочкой 🦉
💋39
Showing the 12 most recent of 80 posts we hold for @pangisunovna. 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“✧˚♡𝓟𝓪𝓷𝓰𝓲𝓼𝓾𝓷𝓸𝓿𝓷𝓪♡ ˚✧” (@pangisunovna), 23,291 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/pangisunovna.
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.