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Контакт для сотрудничества @julietai13
Created
Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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
59 measurements spanning 91 days, net +54. 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 19,270–21,227 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
7 Nov 2026, 01:16
20,274
-63
6 Nov 2026, 00:24
20,337
-57
5 Nov 2026, 03:09
20,394
-44
4 Nov 2026, 03:45
20,438
+433
3 Nov 2026, 00:40
20,005
-20
2 Nov 2026, 00:46
20,025
-47
1 Nov 2026, 00:50
20,072
-54
31 Oct 2026, 02:48
20,126
-114
29 Oct 2026, 23:39
20,240
-148
28 Oct 2026, 20:09
20,388
+363
27 Oct 2026, 18:39
20,025
-976
26 Oct 2026, 19:21
21,001
+414
25 Oct 2026, 19:01
20,587
+1,091
24 Oct 2026, 16:44
19,496
-690
23 Oct 2026, 14:27
20,186
-186
22 Oct 2026, 13:29
20,372
-129
21 Oct 2026, 09:09
20,501
-198
20 Oct 2026, 10:16
20,699
-20
19 Oct 2026, 07:26
20,719
-22
18 Oct 2026, 05:17
20,741
first reading
Engagement
48 posts held, back to 2 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 65 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.39%
avg views ÷ 20,274 subscribers
Avg views / post
1,500
11 posts measured
Reaction rate
5.13%
reactions ÷ views · ER floor
Posts in window
11
of 48 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 6 November 2026
Posts held
48 (2 August 2026 – 6 November 2026)
Views total
16,487
Reactions total
846
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 03:12 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
≈2,690
Videos
≈380
Links
≈406
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.
Video runtime
1m 18s
Average length
16s
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
3,518 reactions across 46 posts, in 13 distinct kinds. The most used accounts for 23.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
837
23.8%
🔥
673
19.1%
🎉
651
18.5%
👍
639
18.2%
😁
629
17.9%
❤🔥
35
0.995%
👏
16
0.455%
💘
13
0.37%
🥰
13
0.37%
💯
7
0.199%
😍
3
0.085%
🗿
1
0.028%
🤔
1
0.028%
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 46 of the 48 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 3,518 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 48 most recent posts we hold, published 2 August 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 Stars
Stars received
3
across the posts below
Posts paid on
3
of 46 we hold a reading for · 7%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @yulyashabanochki. 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 48 most recent posts we hold for this entry, published 2 August 2026 to 6 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 11 posts held from the last 30 days (9.09%) 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).
Проживаю второе детство 🖕 наверное мудрой природой все так идеально продумано)))
А если отвлечься от философии, то конечно в эти холодные дни, которые мы засели на больничном лучше всего спасают любимые книги 🤍, благо сыну передалась моя любовь к ним!
У нас уже собралась целая коллекция книг от издательства CLEVER! В октябре самыми любимыми стали «Найди и покажи транспорт» Тьерри Лаваля: чудесные яркие иллюстрации,…
Я выпала из канала и даже жизни на пару/тройку дней, потому что в нашем детском саду карантин, да и мы болели все это время 😕
Но, тем не менее, ни для без позитива и я выхожу к Вам с двумя бьюти-открытиями от бренда Dlya koji da, которые приятно порадовали в течение последних недели!
Попробовала крио-скраб «Северное сияние», потрясающего бирюзового цвета. Он работает как холодное обертывание, идеальный продукт от о…
На моем канале, пожалуй, выкладываю самое домашнее фото - в термошапке 👸 но чего не сделаешь ради того, чтобы показать способ добиться салонного ухода за волосами своими силами!
Нашла от бренда Virgin Hair потрясающие средства:
🤍Несмываемый крем «Эталон» с легкой текстурой, которая запечатывает секущиеся кончики
🤍Маска «Привет, русалка» для натуральных и длинных волос с протеинами и аминокислотами
Выдерживаю маску …
Настоящее бьюти-безумие происходит с ЛЭТУАЛЬ 💅
Всем клиентам они начислили 50 000 бонусов , мне кажется это самый масштабный «бонусопад», который только возможен!
А если еще применить все текущие акции, то окончательный ценник выглядит как очень приятный сон. У меня в вишлисте с лета ароматы Philipp Plein 🖤 и видимо пришло время мечтам исполнится!
Что же тогда будет на 11.11 и Новогодние скидки 🤔
Только успеваю за обновлениями в моей любимой бьюти-сфере, например, в выходные зашла в магазин «Подружка», а там уже красуется южнокорейский бренд Nambuzin ❤️
Его слоган “Какой твой номер?”, говорит о необычном решении разделения линеек продуктов в зависимости от потребностей кожи. У средств есть номера, по которым покупателю легко ориентироваться в продукции и заранее знать конечный результат.
No.1 улучшение сост…
Как же давно я не делала макияж палеткой теней, так как в мамские будни трудно уместить что-то не на бегу 🪞
Вдохновение пришло от потрясающих новинок PUPA! Их обновленные тени Vamp! Compact duo я пробовала еще давно, но сейчас они выпущены в стильном розовом футляре, из состава убрали тальк и на выбор представлены три финиша: матовый, сатиновый и перламутровый 🖤
Для себя отменила еще более шелковистую текстуру, лег…
Краем глаза всегда наблюдаю за новыми инициативами партии «Новые люди» и этой захотелось поделиться с Вами 🤍
Как Вам должно быть известно, существует огромный рынок так называемых «красивых номеров» для авто. Приведу яркий пример: номер А888АА за 26 млн рублей, в голове не укладывается, но это факт….
То есть процесс не легализован и все средства с продажи уходят в неизвестном направлении в частные руки. Согласно ин…
Наступило мое нелюбимое межсезонье, и если на себя я еще понимаю, что надеть исходя из прогноза Алисы))), то с Мишуткой каждый день - это квест! Так как он в движении, и ему должно быть максимально комфортно!
Плюс в саду свой отдельный гардероб, в общем, в пору становиться детским стилистом 😎
Поэтому как только наступает ночь, я выхожу на онлайн-охоту и смотрю одежду на сайте Gloria Jeans! Признаюсь, подсматриваю т…
Октябрь уже на финишной прямой, поэтому самое время озвучить самый красивый по оформлению и богатый по наполнению бьюти-бокс , ставший главным героем сезона 🍁 - ФЛАГМАН ОСЕНЬ от Trendy Box 🍂
Бренды в составе:
✨ Physiogel — Banka Home — O.TWO.O — 19Lab onSkin — SELFIELAB — Pandora Parfums — Т2 Косметика — FABERLIC* — Royal Tools — 8.1.8 beauty formula — Издательство Бомбора — Bimunica — Maskoholic — URIAGE — Alan…
Снова сдаю Вам самые горячие явки и пароли - ЛЭТУАЛЬ проводит офисную распродажу только сегодня! Поэтому сразу после работы можно рвануть на мега выгодный бьюти-шоппинг!
Я охочусь на новый осенний парфюм и помаду цвета бордо, думаю все таки повторить аромат от Dolce&Gabbana, цена на него сегодня невероятная!
📍 г. Москва, ТРЦ МЕГА Белая Дача, магазин ЛЭТУАЛЬ
Мы засели дома с первым вирусом принесенным из садика, но я к этому была давно морально готова 🙄 Не унываем, ждем врача, а я как всегда ищу позитиффф и пробую новые бренды и конечно делюсь с Вами!
Состоялось мое первое знакомство с QTEM ❗️QTEM - это профессиональная косметика, которая делает ставку на научный подход и салонный опыт.
По большей части было интересно попробовать именно продукты для волос, поэтому выбо…
С брендом Drunk Elephant 🐘 у меня особые отношения…помню как впервые услышала о нем от американского блогера лет 10 назад!!! и тогда волшебная баночка с маслом марулы казалась чем-то заморским и недостижимым!
Но вот уже как полгода заветные баночки у меня 🫶 и они стоили этих лет ожидания)) Моими фаворитами стали:
💙Увлажняющая электролитическая маска, которая наносится на ночь и способна наполнить влагой каждую клет…
🔥31😁29🎉28❤13👍13
Showing the 12 most recent of 48 posts we hold for @yulyashabanochki. 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.
Posts edited after publishing
@yulyashabanochki 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.
First edit seen
10 August 2026
Most recent edit
10 August 2026
Posts recorded as deleted after publishing
We recorded 3 posts on @yulyashabanochki 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.
First seen missing
8 August 2026
Most recent seen missing
14 August 2026
Median time before seen missing
38 hours
Seen missing in the last 30 days
0
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
Named by 1 registered channel — 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.
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Жизнь Жюли” (@yulyashabanochki), 20,274 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/yulyashabanochki.
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.