Film & TV — 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 81% 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 43 days, net +3,708. 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 25,013–35,213 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
19 Sept 2026, 16:39
31,671
+5,224
17 Sept 2026, 07:56
26,447
-585
15 Sept 2026, 07:59
27,032
-1,228
13 Sept 2026, 13:41
28,260
-174
11 Sept 2026, 21:58
28,434
-1,156
9 Sept 2026, 08:57
29,590
-1,589
5 Sept 2026, 22:19
31,179
-470
3 Sept 2026, 18:19
31,649
-69
2 Sept 2026, 11:43
31,718
-331
1 Sept 2026, 11:04
32,049
-399
31 Aug 2026, 09:34
32,448
-296
30 Aug 2026, 11:35
32,744
-443
29 Aug 2026, 08:25
33,187
-297
28 Aug 2026, 05:44
33,484
-358
27 Aug 2026, 03:04
33,842
+367
26 Aug 2026, 03:36
33,475
+2,010
25 Aug 2026, 05:04
31,465
-256
24 Aug 2026, 04:24
31,721
-317
22 Aug 2026, 14:14
32,038
-292
21 Aug 2026, 04:43
32,330
first reading
Engagement
36 posts held, back to 31 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 32 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 36 posts for this entry, the most recent from 20 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
54s
Average length
18s
Measured directly from 3 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
2,512 reactions across 36 posts, in 3 distinct kinds. The most used accounts for 58.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,479
58.9%
💘
543
21.6%
💔
490
19.5%
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 36 of the 36 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 2,512 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 36 most recent posts we hold, published 31 July 2026 to 20 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
5
across the posts below
Posts paid on
3
of 36 we hold a reading for · 8%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nastyaabeautyy. 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 36 most recent posts we hold for this entry, published 31 July 2026 to 20 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.
«МАММА МИМО! или Мюзикл пошёл не так»: теперь в Театре на Цветном!🤎
Остроумная пародия, в которой шеф крупного предприятия заказывает любительскому театру поставить любимое шоу своей жены – мюзикл Mamma Mia!
Режиссёр и артисты с воодушевлением берутся за дело, однако у заказчика есть свои представления о прекрасном. Раз за разом, спуская очередную абсурдную идею, он даже не представляет, во что в итоге выльются его…
— косметика, в которую влюбляешься с первого применения!🤩
мне пришли новинки от VT Cosmetics, сейчас 90% моего ухода это баночки от этого бренда.
очищающий бальзам PDRN Grinding Cleansing Balm удаляет стойкий макияж, тональные и солнцезащитные средства.
локальный крем с микроиглами и чесноком Garlic AC Reedle Shot Spot Cream обладает антибактериальным свойством, растворяет комедоны и предотвращает появление чёрных…
— новинка от любимого бренда — гидрогелевые патчи для зоны вокруг глаз txa brightening eye patch!☕️
эти патчи созданы для выравнивания тона, свежести взгляда и ухода за областью под глазами, ведь она особенно склонна к тёмным кругам, тусклости и пигментации.
огромный плюс, что патчи комфортно сидят и не сползают.
а ещё в посылочке были тканевые маски пропитанные сывороткой с ниацинамидом, они тоже помогают выровня…
— beauty day получается!🤩
сходила сначала на маникюр, посмотрите как шикарно…
очень красивый нюд!
потом была мезотерапия кожи головы, уже 6-ой раз делаю, результат уже есть, в сентябре иду на диагностику к трихологу.
— ну и сейчас уже лечу на пилатес, ну идеально!🤎
— найдены ещё вкусные сладости без сахара, делюсь!☕️
кукурузные шарики в молочном шоколаде, понравились дочке и мне с кофе очень зашло.
артикул: 804293041
для любителей рафаэлок протеиновые вафли кокос и миндаль, вкусно и сытно!
артикул: 969501856
— ну вот мы и дома, ура!🤍
очень соскучилась по псыночке, уже забрала новые посылочки от брендов, сходила на тренировку и занимаюсь разбором вещей, уборкой.
после долгой дороги пойти на стретчинг с мфр — одно из лучших решений!
— а как ваше воскресенье проходит?🤍
— и конечно мы прокатились на речном трамвайчике!🤩
взяли билеты онлайн на 21:00, лучшее время, чтобы насладится красивым закатом и посмотреть на огни вечернего города.
катались 1,5 часа, переживала, что нас укачает, но зря…
вообще комфортно было!
— только посмотрите на эти виды, красота!🤎
❤51💘19💔18
Showing the 12 most recent of 36 posts we hold for @nastyaabeautyy. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@nastyaabeautyy 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
16 August 2026
Most recent edit
19 August 2026
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 6 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Pavlychenkoann 💔 @milovidnayanna · 23,284 Telegram ranks this channel #71 of 77 here — alongside 76 others — read 17 September 2026
Инна Плетнева | Красота моими глазами @innamakeru · 59,200 Telegram ranks this channel #75 of 76 here — alongside 75 others — read 22 August 2026
This channel appears in 2 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“nastya baldabekova” (@nastyaabeautyy), 31,671 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/nastyaabeautyy.
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.
