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 9 September 2026 and assigned it the closest of 31 fixed categories, at 57% 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 the other topics.
Growth
61 measurements spanning 92 days, net -2,193. 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 64,567–67,418 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
7 Nov 2026, 09:14
64,896
-7
6 Nov 2026, 12:29
64,903
-20
5 Nov 2026, 11:50
64,923
-35
4 Nov 2026, 08:10
64,958
-21
3 Nov 2026, 04:26
64,979
-36
2 Nov 2026, 03:31
65,015
-56
1 Nov 2026, 01:36
65,071
-15
31 Oct 2026, 03:52
65,086
-23
30 Oct 2026, 02:19
65,109
-25
29 Oct 2026, 05:08
65,134
-33
28 Oct 2026, 00:36
65,167
-57
27 Oct 2026, 01:26
65,224
-42
26 Oct 2026, 04:10
65,266
-47
25 Oct 2026, 06:55
65,313
-57
24 Oct 2026, 05:38
65,370
-48
23 Oct 2026, 03:30
65,418
-29
22 Oct 2026, 02:58
65,447
-57
20 Oct 2026, 21:12
65,504
-27
19 Oct 2026, 16:46
65,531
-27
18 Oct 2026, 17:17
65,558
first reading
Engagement
16 posts held, back to 29 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 189 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
25.3%
avg views ÷ 64,896 subscribers
Avg views / post
16,400
5 posts measured
Reaction rate
2.93%
reactions ÷ views · ER floor
Posts in window
5
of 16 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 7 November 2026
Posts held
16 (29 July 2026 – 7 November 2026)
Views total
81,940
Reactions total
2,402
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 09:26 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
Photos
≈1,360
Videos
≈378
Links
≈131
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
5m 26s
Average length
1m 05s
Measured directly from 5 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
9,641 reactions across 16 posts, in 29 distinct kinds. The most used accounts for 68.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
6,559
68.0%
🔥
841
8.72%
❤🔥
645
6.69%
🥰
578
6.00%
👍
369
3.83%
👏
145
1.50%
🤮
129
1.34%
😍
104
1.08%
💘
57
0.591%
🤣
48
0.498%
🎉
36
0.373%
👎
32
0.332%
💋
19
0.197%
🥱
17
0.176%
🙏
11
0.114%
🕊
9
0.093%
🗿
8
0.083%
💩
6
0.062%
🤡
5
0.052%
💊
4
0.041%
9 further kinds
19
0.197%
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 16 of the 16 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 9,641 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 29 July 2026 to 7 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 5 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Ой ребят!!!! Вы наверное все в возмущении, что я ничего не выкладываю))) В общем, я потратила пять дней на интенсив по актерской технике Майзнера со Скотом Тростом. Я снова училась актерскому мастерству. Зачем, спросите вы? Все просто, я всегда ощущаю, что я недостаточно изучила эту бездонную профессию, мне всегда кажется, что я могу стать лучше, мне всегда кажется, что может я что-то упустила? Или забыла!? И вы знае…
Всей душой и сердцем люблю этот театр! Я желаю ему только процветания, и дальнейшей работы в таком же режиме безумия и творчества❤️ для меня огромная честь быть частью этой истории! Люблю люблю люблю 💖
CRAVE 7 лет!❤️🪄
7 лет безусловной любви, ярких эмоций, смелых историй и моментов, которые невозможно забыть!
Принимаем от Вас поздравления в комментариях и хотим поделиться цифрами, за которыми стоят тысячи эмоций!
•За семь лет театр Сrave посетило 212 441 зрителей (а это почти весь город Королёв)
•На этой сцене прошло 1193 спектакля —
из них мы 540 раз пытались понять, чего хотят женщины✨
•172 раза зрители насл…
В эфире CRAVE TV и у нас для вас особенный прогноз. По мнению синоптиков, в ближайшее время ожидается настоящий шквал страсти, волна соблазна и резкое повышение температуры. Местами возможна потеря самообладания. И, поверьте, это только начало…
Всего 8 уникальных спектаклей, когда зрители смогут увидеть лучшие номера из What Women Want, Crave Airlines, «Абсолютно другая Нага», «ТАБУ» и «Абракадабра» в одном шоу.
А …
Изменение времени у мастер-класса Яны Климовой-Юсуповой и Агаты Муцениеце!
4 октября встреча начнется в 19:30.
🔗 Зарегистрироваться
Приносим извинения за возможные неудобства и будем рады видеть вас!
7 лет притяжения🖤
Театр CRAVE отмечает день рождения и приглашает отправиться в путешествие «ВСЕЛЕННАЯ CRAVE».
Всего семь вечеров в октябре, когда зрители смогут увидеть лучшие номера из спектаклей What Women Want, Crave Airlines, «Абсолютно другая Нага», «ТАБУ» и «Абракадабра» в одном шоу.
На сцену театра выйдут актеры Риналь Мухаметов, Агата Муцениеце, Владимир Маркони, Иван Чуйков, Сергей Епишев и артисты театр…
Открытые мастер-классы в школе кино «Индустрия» 🎬
Это отличная возможность для тех, кто горит кино, познакомиться с лидерами и друзьями школы и войти в творческое комьюнити.
На встречах вы сможете перенять опыт практиков, задать вопросы и принять решение, какую профессию освоить и куда двигаться дальше.
➖25 сентября
Сергей Кальварский и Наталья Капустина: «Сериал начинается не со съемок»
Регистрация
➖27 сентября
…
Showing the 12 most recent of 16 posts we hold for @AgataMucenieceLife. 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.
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 5 October 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.
ТЕЛЕГА БОНДА @st_bondarenko · 18,653 Telegram ranks this channel #5 of 65 here — alongside 64 others — read 5 October 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“AgataMucenieceLife” (@AgataMucenieceLife), 64,896 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/AgataMucenieceLife.
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.