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Channel

Стилист Julia Pchelka

@JuliaPchelka

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Citations · Cite this entry

24,446subscribers

-853 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001726319134
TypeChannel
Username@JuliaPchelka
Description▫️Одна вещь на разных фигурах #1вещь4стилиста 📌 MAX: https://max.ru/JuliaPchelka Номер канала - 4779061353 https://clck.ru/3GXd92. Реклама - @julia_pchelka ВП - @ali_sultanova
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/JuliaPchelka

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 87% 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

24,44625,29924,872.57 August 202612 November 2026
64 measurements spanning 97 days, net -853. 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 24,318–25,427 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
12 Nov 2026, 15:5524,446-1
10 Nov 2026, 13:0124,447-19
9 Nov 2026, 01:5924,466-3
7 Nov 2026, 17:5824,469-11
6 Nov 2026, 18:2924,480-3
5 Nov 2026, 21:4624,483-17
5 Nov 2026, 00:0024,500-10
3 Nov 2026, 20:3824,510-12
2 Nov 2026, 16:5824,522-11
1 Nov 2026, 15:4624,533-12
31 Oct 2026, 17:1524,545-4
30 Oct 2026, 13:5524,549-1
29 Oct 2026, 16:2124,550-10
28 Oct 2026, 14:1524,560-10
27 Oct 2026, 16:0924,570-1
26 Oct 2026, 18:5724,571-9
25 Oct 2026, 21:0024,580-8
24 Oct 2026, 22:4624,588-10
23 Oct 2026, 21:0724,598-3
22 Oct 2026, 21:4624,601first reading

Engagement

141 posts held, back to 6 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 144 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.70%
avg views ÷ 24,446 subscribers
Avg views / post
1,640
52 posts measured
Reaction rate
5.13%
reactions ÷ views · ER floor
Posts in window
52
of 141 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
WindowRolling 30 days · latest post in window 14 November 2026
Posts held141 (6 August 2026 – 14 November 2026)
Views total85,169
Reactions total4,371
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 16:32 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
≈13,500
Videos
≈2,670
Links
≈1,400

Lifetime counters from Telegram’s own channel header, read 15 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
55m 35s
Average length
59s

Measured directly from 57 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

13,227 reactions across 140 posts, in 26 distinct kinds. The most used accounts for 56.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7,45056.3%
🔥3,08323.3%
👍1,46011.0%
😁1961.48%
❤‍🔥1931.46%
😍1601.21%
custom 54115003258466568721501.13%
🙈1421.07%
🤣1140.862%
👏1010.764%
💯450.34%
🥰430.325%
😨170.129%
💔110.083%
🤩110.083%
🥴110.083%
🤔80.06%
🎄70.053%
🕊50.038%
😐50.038%
6 further kinds150.113%

Custom emoji. One row above is a 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 count beside it is 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 140 of the 141 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 13,227 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 141 most recent posts we hold, published 6 August 2026 to 14 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
6
across the posts below
Posts paid on
6
of 141 we hold a reading for · 4%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @JuliaPchelka. 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 141 most recent posts we hold for this entry, published 6 August 2026 to 14 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.

Advertising

Ad load
1.42%
2 of 141 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
2,020
over 2 measured posts
Median views · rest
1,820
over 139 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2SDnjcKUUcT117 August 202617 August 2026
2SDnjesSnVy121 August 202621 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 141 most recent posts we hold, published 6 August 2026 to 14 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 52 posts held from the last 30 days (1.92%) 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).

14 Nov 2026, 17:53 UTC≈1,420 views61 reactionsread 15 November 2026
Photo

«Водил меня Серега на выставку ….» В общем, на Майю Плисецкую на выходные билеты пока не купить, поэтому пошли на Бакста. Но пока не советую соваться туда в выходные - народу много, некомфортно! Либо в будни, либо подождать, когда ажиотаж спадет. Выставка довольно любопытная. Не вау прям, но посетить стоит, мне очень понравились эскизы (красиво - глаз не оторвать) и ИИшное видео. На выставке насчитала 3 пары сапог …

❤37😁12👍11🔥1

13 Nov 2026, 16:08 UTC≈1,840 views61 reactionsread 15 November 2026
Photo

Смотрели «Плетеного мужа» в Художественном. То, что казалось натурально ерундой, реализовалось в философский фильм. Понравилось очень! Идет на инглише. И да, я купила-таки эти ботфорты Lime, удобные очень! #лукдня Брюки 1811 Джемпер и ботфорты Lime Шарф Авито

❤46👍15

13 Nov 2026, 10:14 UTC≈1,890 views98 reactionsread 15 November 2026
Photo

Мы тут с подругой и стилистом Оксаной решили одеть друг друга, смотрите, что у нас получилось!🤗

❤53🔥31👍8😁6

13 Nov 2026, 08:23 UTC≈1,610 views31 reactionsread 14 November 2026
Photo

2MOOD исполняется 9 лет🎂 В честь этого с 12 по 15 ноября в магазинах бренда будут дарить подарки! Каждый гость сможет вытянуть скидку от 10% до 40% на вязаный трикотаж, деним, футболки, пальто или всю покупку. Размер скидки и категорию определит удача, а воспользоваться ей можно будет до 18 ноября. Онлайн тоже предусмотрена приятность в эти даты: за покупку бонусные баллы — 9% от итоговой суммы чека❤️

❤20🔥6👍5

12 Nov 2026, 11:48 UTC≈1,920 views77 reactionsread 14 November 2026
Video

LIME тизерят новогоднюю коллекцию детскую. Ролики - милота несусветная❤️❤️❤️ Собака особенно! Что же мне теперь придется еще одно платье Агнюше покупать?)) Кстати жакет сливовый уже sold out, так что до Нового года покупку нарядов никак не отложишь…

❤59🔥18

12 Nov 2026, 06:17 UTC≈1,970 views90 reactionsread 14 November 2026
Photo

Photo, posted without a caption

❤‍🔥41❤34🔥15

12 Nov 2026, 06:16 UTC≈1,320 views61 reactionsread 13 November 2026
Photo

Самый полезный пост последнего месяца «Какие шапки носим» и вторая часть следом - «Где их, собственно, купить»😁

❤‍🔥29❤27🔥5

11 Nov 2026, 13:15 UTC≈1,670 views134 reactionsread 13 November 2026
Video

Распаковочка Lime 👯‍♀️ Что было в заказе у меня: - джемпер с бахромой - вельветовые карго - черные брюки с баской - топ - жакет У Агнии: - ботинки - утепленные штаны - футболка - свитшот - жакет - брюки

❤86🔥37custom 54115003258466568729❤‍🔥2

10 Nov 2026, 14:34 UTC≈1,700 views116 reactionsread 12 November 2026
Photo

Купил? Выгуляй! А у вас какие правила?) #лукдня Платье Zara Ботильоны Arive Лонгслив ВБ Пальто Voishe Перчатки Yudashkin P.S. Пора уже колготки натянуть 🥶😅 (сюда дымчатые)

❤92👍22🔥2

9 Nov 2026, 17:00 UTC≈2,020 views91 reactionsread 12 November 2026
Photo

Агнюше прислали в подарок супер-набор. Детский лак на водной основе - топ 🔥 В настоящий момент она добралась до папы😅 Все ногти в этой семьей будут накрашены сегодня ))) Berenice 🫶

😁44❤31🔥15👏1

9 Nov 2026, 12:09 UTC≈2,050 views121 reactionsread 12 November 2026
Photo

Ой девочки, такую рекомендацию вам несу, вообще 🔥 Покупка из Zara - 10 из 10! Заказать можно через Озон или Drop market. Ozon Dropp Market

❤73🔥34👍14

9 Nov 2026, 11:09 UTC≈1,990 views55 reactionsread 12 November 2026
Photo

Короткий забег в Lime: 1. «Шанель» есть у нас дома😅 Выполнена отлично, если нужна крупная сумка на повседневку - присмотритесь: и цвет, и форма супер! 2 и 6. Новогодние коллекции по-тихоньку прибывают 3 и 4. Нереально удобные ботфорты - чулки (кожа не натуральная, поэтому цена сказка!) 5. Вернулись в сток прозрачные босоножки с каменьями, за которыми все гонялись

❤37👍18

Showing the 12 most recent of 141 posts we hold for @JuliaPchelka. 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

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 4 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.

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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“Стилист Julia Pchelka” (@JuliaPchelka), 24,446 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/JuliaPchelka.

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.