Video message, posted without a caption
❤61❤🔥36custom 526288763699700996212

Channel
@annsitkina
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
7,311subscribers
-106 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001902530633 |
|---|---|
| Type | Channel |
| Username | @annsitkina |
| Description | Добро пожаловать 🍵 Мои соцсети: вк https://vk.ru/annsitkina ютуб https://youtube.com/@ann.sitkina тт https://www.tiktok.com/@ann.sitkina ✉️: [email protected] |
| Created | Between 1 March 2023 and 31 January 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/annsitkina |
Personal blog — 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 12 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 18:31 | 7,311 | -7 |
| 2 Nov 2026, 03:28 | 7,318 | +15 |
| 30 Oct 2026, 00:35 | 7,303 | -9 |
| 26 Oct 2026, 16:46 | 7,312 | -9 |
| 24 Oct 2026, 02:19 | 7,321 | -3 |
| 20 Oct 2026, 22:47 | 7,324 | -6 |
| 14 Oct 2026, 19:31 | 7,330 | -6 |
| 11 Oct 2026, 15:37 | 7,336 | -19 |
| 5 Oct 2026, 12:36 | 7,355 | -10 |
| 27 Sept 2026, 21:00 | 7,365 | -19 |
| 18 Sept 2026, 19:59 | 7,384 | -13 |
| 14 Sept 2026, 12:37 | 7,397 | +13 |
| 10 Sept 2026, 23:41 | 7,384 | +2 |
| 6 Sept 2026, 06:02 | 7,382 | -4 |
| 2 Sept 2026, 05:48 | 7,386 | -4 |
| 29 Aug 2026, 22:12 | 7,390 | -1 |
| 26 Aug 2026, 12:24 | 7,391 | -4 |
| 23 Aug 2026, 12:58 | 7,395 | -4 |
| 19 Aug 2026, 15:42 | 7,399 | -7 |
| 16 Aug 2026, 19:18 | 7,406 | first reading |
19 posts held, back to 24 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 23 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 19 (24 July 2026 – 6 November 2026) |
| Views total | 12,281 |
| Reactions total | 823 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 01:01 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.
Lifetime counters from Telegram’s own channel header, read 7 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.
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.
3,084 reactions across 19 posts, in 8 distinct kinds. The most used accounts for 42.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,301 | 42.2% | |
| ❤🔥 | 1,039 | 33.7% | |
| 🤣 | 261 | 8.46% | |
| custom 5238244321538349318 | 183 | 5.93% | |
| custom 5262887636997009962 | 119 | 3.86% | |
| custom 5303484861879697586 | 87 | 2.82% | |
| 🕊 | 71 | 2.30% | |
| 💔 | 23 | 0.746% |
Custom emoji. 3 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 19 of the 19 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 3,084 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 24 July 2026 to 6 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.
Telegram’s own ‘edited’ marker: 0 of 6 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).
Video message, posted without a caption
❤61❤🔥36custom 526288763699700996212
Покажите ваши костюмы на хеллоуин! А то я никак не праздную и вообще за бортом, хоть на вас посмотрю 🥺😏
❤81❤🔥11custom 52628876369970099628
Попробывали новую мандариновую линейку от Кудрявого метода 🍊 и там все продукты реально пахнут свежим мандарином, как будто только почистили, это хорошо Как всегда я поняла что для кудрявого метода нужно по сути два продукта - крем для увлажнения и потом уже гель для фиксации завитка во время сушки. Он создает корочку, которую потом можно разбить По итогу получается плюс еще один вариант укладки волос, но без плоек…
❤68❤🔥26custom 526288763699700996221
Ну похвастаюсь, я снималась в новом красивущем кампейне для бренда Кудрявый метод✨✨ Немного спойлеров🤌🏻 ждем фотки!
❤135❤🔥59custom 526288763699700996225💔8
В Москве все листья опали! после жары в 25 градусов это воспринимается очень непонятно
❤🔥58custom 526288763699700996227❤15
Последний японский фотодамп вам в ленту ⭐ А вообще я уже прилетела обратно. Люблю Японию, но дом еще больше 🧶 Еще как будто я закрыла свой японский гештальт и готова посетить уже что-то кроме нее!!
❤🔥96❤48custom 526288763699700996226🕊2
У меня был ночной психоз и я расписала зеркало Заказала на вб деревянную заготовку и вот пока что промежуточный вариант без деталей Никогда не делала подобное, но мне так нравится процесс 🕯️
❤🔥95❤44custom 523824432153834931819🕊3
Бэкстейджи с недавней съемочки 📸⭐️ фотограф студия платье
❤95❤🔥47custom 523824432153834931818🕊5
Покрасочный пост 🤎 Моя идеальная схема: 🔵корни я крашу igora 8/77 + 6% оксид 🔵брови я крашу ею же, но держу на 7-10 минут меньше (убедитесь, что наносите достаточное количество краски на брови) 🔵в качестве кисточки для бровей использую косметическую тонкую плоскую кисть 🔵длину тонирую только оттеночными бальзами, сейчас у меня медный от кудрявого метода. краской для корней длину не крашу 🔵веснушки - хна разных оттен…
❤🔥99❤37custom 523824432153834931814
Последовала вашим советам под предыдущим постом и сдала витамин д, ферртин, и даже заказала прибор чтобы измерять сахар в течение дня 💅✨ Нацелена обследовать ВСЕ Еще сегодня-завтра у меня будет покрасочный день, сделаю новый актуальный пост с красками. Наконец нашла самый идеальный и не травмирующий вариант поддерживать идеальный для себя цвет
❤🔥110❤37custom 523824432153834931837🕊4
Просто рандомно рассказываю про свое прощание с качалкой и жалуюсь что я не могу наладить питание С последним, кстати, реально предстоит разобраться, я даже не знаю как приступить к этой теме. Хочу есть так чтобы было много энергии и сил, а то пока могу есть минимум чтоб не худеть и ТОЛЬКО вкусную дурацкую еду
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Я купила панталоны и табурет
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Showing the 12 most recent of 19 posts we hold for @annsitkina. 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.
@annsitkina 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.
We recorded 3 posts on @annsitkina as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
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.
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.
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.
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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“Энн с зеленых крыш 🍂” (@annsitkina), 7,311 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/annsitkina.
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.