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 85% 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
34 measurements spanning 50 days, net +30. 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 10,829–16,292 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
26 Sept 2026, 07:41
15,662
+3,331
17 Sept 2026, 14:01
12,331
+567
15 Sept 2026, 15:20
11,764
+305
13 Sept 2026, 20:41
11,459
-51
12 Sept 2026, 00:21
11,510
-110
9 Sept 2026, 12:19
11,620
-133
6 Sept 2026, 02:55
11,753
-67
4 Sept 2026, 00:57
11,820
-162
2 Sept 2026, 14:19
11,982
-80
1 Sept 2026, 12:14
12,062
-70
31 Aug 2026, 13:24
12,132
-53
30 Aug 2026, 12:26
12,185
-76
29 Aug 2026, 10:08
12,261
-237
28 Aug 2026, 11:13
12,498
-47
27 Aug 2026, 14:25
12,545
-94
26 Aug 2026, 12:16
12,639
-52
25 Aug 2026, 14:05
12,691
-79
24 Aug 2026, 11:57
12,770
-142
22 Aug 2026, 16:28
12,912
-139
21 Aug 2026, 04:14
13,051
first reading
Engagement
31 posts held, back to 4 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 51 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.792%
avg views ÷ 15,662 subscribers
Avg views / post
124
1 post measured
Reaction rate
29.8%
reactions ÷ views · ER floor
Posts in window
1
of 31 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 2 September 2026
Posts held
31 (4 August 2026 – 2 September 2026)
Views total
124
Reactions total
37
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 23:21 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
7s
Average length
7s
Measured directly from 1 video 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
1,471 reactions across 31 posts, in 8 distinct kinds. The most used accounts for 74.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,091
74.2%
😍
187
12.7%
🥰
173
11.8%
🔥
11
0.748%
❤🔥
5
0.34%
🤩
2
0.136%
💋
1
0.068%
💘
1
0.068%
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 31 of the 31 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 1,471 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 4 August 2026 to 2 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 31 we hold a reading for · 3%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @anlovafit. 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 31 most recent posts we hold for this entry, published 4 August 2026 to 2 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.
посетила мероприятие
с основательницей бренда am&pm
Лилией Хазиевой 🪽
погрузились в мир флористики и создавали венки из живых цветов с Ольгой Абдрахмановой,
получилось очень эстетично!
три часа за цветами в окружении прекрасных девушек пролетели незаметно, далее мы общались за бранчем и ушли с подарками.
relax evening 💆🏼♀️
сегодня была не массаже в любимой студии на Спартаке у мастера Юлианы Тоховой.
очень хорошо расслабилась и отдохнула!
до 30 августа во всех студиях @litebody17 клиентские дни!
в рамках коллаборации с HERBARUS угощают вкусным чаем, конфетами и дарят подарки.
бранч в ERWIN.Павильон.Патрики.
рекомендуем заказать запечённый стейк из лосося со сливочным шпинатом , арбуз с фетой и зеленый салат с крабом.
обязательно попробуйте безлактозный и безглютеновый десерт - малиновое суфле с кокосом и гранолой, очень нежно!
романтичный вечер «История любви» с Иваном Ожогиным и Юлией Ивой в Зеленом театре ВДНХ
мы наслаждались живой музыкой Моцарта, Вивальди, Циммера и Эйнауди в исполнении оркестра и сиянии тысяч свечей под открытым небом.
очень хотела бы еще посетить обновленную осеннюю программу «Истории любви» 4 сентября в Московском доме музыки.
это был самый красивый вечер с Lumisfera! 🤍
как всегда бывает, все баночки закончились сразу..
но как классно, что с 28 августа по 6 сентября у брендов Ultraceuticals, KEVIN.MURPHY, evo, Oribe и R+Co до 20% только онлайн на сайте Золотого яблока.
собрала свои самые необходимые баночки, которыми пользуюсь каждый день.
не упустите такую шикарную возможность!
любимое место для прогулок осенью - the Rink 🍂
здесь особая уютная атмосфера!
взять кофе и гулять по тропинкам, усыпанным желтыми листьями.
ootd:
шорты&футболка- lime
жакет - victoria ondar
сумка - furla
в Москве похолодало, а значит самое время уютных прогулок с кофе и печеньем Meltisss..
я обожаю такую текстуру печенья: верхний слой хрустящий, внутри мягкое тесто.
15 вкусов и можно добавить мороженое, наши фавориты — «Буэно», Lotus, фисташка и шоколадные.
это слишком вкусно💔
day with my mom 🪽
ужинали в ресторане Farina.
очень эстетичный интерьер, приятный персонал и вкусная кухня!
мы попробовали пасту с морепродуктами, пикантный салат с мини кальмарами и арбуз с базиликом и сорбетом.
рекомендуем 🤍
summer bag Feel moment 💛
в сумочке, все, что нужно каждой девушке:
• солнцезащитный стик spf50
• автозагар для тела
• масло для загара spf15
• солнцезащитный крем-флюид spf50
• хайлайтер для лица и тела
•солнцезащитный спрей для лица и тела
уже пробовали что-то?
посетила классную тренировку SMSTRETCHING x PEACH x Super
мы прокачали все мышцы с @smstretching, а после на веранде ресторана @peachrestaurant нас ждали смузи и вкуснейшая гранола с ягодами, подарки от @SuperRu.
я так кайфанула!
еще раз убеждаюсь, что для меня самые лучшие мероприятия- спортивные🤍
coral club выпустили уходовую косметику LIŪMI
• очищающий гель для лица
мягко удаляет загрязнения,
не оставляет ощущения стянутости и сухости
• увлажняющий тонер
поддерживает увлажненность и
подготавливает кожу к нанесению сыворотки и крема
• увлажняющий крем-гель
легко увлажняет, быстро впитывается и не перегружает кожу
а также у бренда есть бот @liumiselectbot, который поможет подобрать уход и научит правильно …
❤34🥰7😍5
Showing the 12 most recent of 31 posts we hold for @anlovafit. 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
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@anlovafit named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@alfaparfmilanopro_russia named in 1 post, 21 August 2026 – 21 August 2026
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.
DIANA @divaddii · 30,419 Telegram ranks this channel #3 of 78 here — alongside 77 others — read 7 September 2026
Твоя подруга красоты @leya_leyaaa · 32,661 Telegram ranks this channel #3 of 80 here — alongside 79 others — read 6 September 2026
Ни дня без бьюти @nodaywithoutbeauty · 29,987 Telegram ranks this channel #4 of 72 here — alongside 71 others — read 7 September 2026
Реалии Аполлинарии @ba_polly · 24,775 Telegram ranks this channel #5 of 77 here — alongside 76 others — read 11 September 2026
Poydemsomnoy🕊 @polenukk · 36,529 Telegram ranks this channel #6 of 76 here — alongside 75 others — read 29 August 2026
BEAUTY KISTOCHKA / Кисточка красоты @kistochkalife · 27,945 Telegram ranks this channel #8 of 70 here — alongside 69 others — read 16 September 2026
ele.chka | уход | беременность @beautyelechka · 26,160 Telegram ranks this channel #9 of 70 here — alongside 69 others — read 13 September 2026
SOFIA 💌 @sofia_molz · 46,742 Telegram ranks this channel #10 of 82 here — alongside 81 others — read 25 August 2026
Pavlychenkoann 💔 @milovidnayanna · 22,352 Telegram ranks this channel #11 of 77 here — alongside 76 others — read 17 September 2026
Beauty_obsession💄 @beauty_obsesion · 33,053 Telegram ranks this channel #12 of 77 here — alongside 76 others — read 4 September 2026
darinalanguage @darina_language · 21,432 Telegram ranks this channel #15 of 81 here — alongside 80 others — read 25 September 2026
DG Beauty @dgrbeauty · 45,003 Telegram ranks this channel #16 of 81 here — alongside 80 others — read 30 August 2026
Инна Плетнева | Красота моими глазами @innamakeru · 59,200 Telegram ranks this channel #16 of 76 here — alongside 75 others — read 22 August 2026
romanova_fit @romanova_fitt · 31,079 Telegram ranks this channel #18 of 76 here — alongside 75 others — read 5 September 2026
Дори @ITSNOTDORI · 19,954 Telegram ranks this channel #19 of 79 here — alongside 78 others — read 27 September 2026
KSENY LAPSHINA @kseny_patches · 33,804 Telegram ranks this channel #20 of 78 here — alongside 77 others — read 1 September 2026
Eireen Sh. 💌 @witheireen · 49,986 Telegram ranks this channel #20 of 76 here — alongside 75 others — read 30 August 2026
Моменты Ольги @Momentsolga · 21,167 Telegram ranks this channel #21 of 69 here — alongside 68 others — read 23 September 2026
и просто так @writeforfriends · 28,892 Telegram ranks this channel #23 of 72 here — alongside 71 others — read 9 September 2026
Бикшаева несёт @bikshaevaneset · 21,953 Telegram ranks this channel #24 of 80 here — alongside 79 others — read 25 September 2026
Lara Krasnikova / стилист / фэшн-инфлюенсер @larakrasnikova_style · 39,038 Telegram ranks this channel #27 of 73 here — alongside 72 others — read 6 September 2026
Карина Дроздова @blablagirl1 · 45,878 Telegram ranks this channel #27 of 83 here — alongside 82 others — read 30 August 2026
Nikolskaya @nikolskaya_life · 24,106 Telegram ranks this channel #30 of 72 here — alongside 71 others — read 13 September 2026
Ночь в отеле. с Анной Трейт. @hotelsnight · 32,852 Telegram ranks this channel #30 of 79 here — alongside 78 others — read 4 September 2026
This channel appears in 42 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“АНЛОВА” (@anlovafit), 15,662 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/anlovafit.
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.