5 measurements spanning 9 days, net -26. 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 6,003–6,037 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 21:16
6,007
-7
13 Aug 2026, 09:24
6,014
-9
10 Aug 2026, 07:42
6,023
-8
7 Aug 2026, 17:50
6,031
-2
7 Aug 2026, 09:45
6,033
first reading
Engagement
8 posts held, back to 4 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 9 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
15.7%
avg views ÷ 6,007 subscribers
Avg views / post
942
6 posts measured
Reaction rate
2.39%
reactions ÷ views · ER floor
Posts in window
6
of 8 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 August 2026
Posts held
8 (4 July 2026 – 7 August 2026)
Views total
5,652
Reactions total
135
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 03:37 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.
Reaction mix
185 reactions across 8 posts, in 5 distinct kinds. The most used accounts for 55.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
102
55.1%
❤🔥
42
22.7%
😍
28
15.1%
🥰
10
5.41%
🙏
3
1.62%
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 8 of the 8 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 185reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 4 July 2026 to 7 August 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.
Была на генеральной репетиции спектакля «Ласточка моя», который уже этой осенью представит театр а39.
Спешу к вам с советом заранее купить билеты на него!
Сюжет на основе пьесы «Бесприданница» Островского, но переосмысленный и завернутый в японскую эстетику. Смешной, яркий и актуальный, как и вся классика.
Сегодня я к вам с рекомендацией канала, за которым слежу — «Дневник визуального стратега».
Там я нахожу различные упражнения для развития креативности, подборки кино и литературы и большое количество других рекомендаций, чтобы создавать креативные концепции.
Автор канала Мария Фролова — визуальный стратег, исследовательница визуального языка, основательница агентства comma agency и создательница авторского обучения…
На ближайшие года моя большая цель: развивать визионерство и свой стиль в работе, чтобы в дальнейшем дорасти до роли креативного директора.
Постепенно иду к этой цели.
В вс иду на интенсив «Визуальный код» Тани Аристовой, креативного директора, основательницы проекта ISKRA и автора канала «Ой, как красиво!» .
Это интенсив для креативных специалистов и создателей брендов, которые хотят научиться наполнять визуал см…
Такой яркий и насыщенный год идет, что иногда забываю о существовании своего канала.
В моей жизни так много классных изменений: внешних и внутренних. И я в процессе переваривания и поиска формы для выражения себя и своих мыслей. Как бы абстрактно это ни звучало :))
И этот пост: мой запрос к вам за поддержкой. Такая проверка всех тех, кто готов и дальше читать меня и смотреть мои влюбленности.
На фото я в комплект…
Новый дом проекта A-House открыл свои двери на Большом Афанасьевском.
Это уже второе здание проекта, но на этот раз еще более масштабное: четыре этажа для объединения людей из сферы архитектуры, девелопмента, дизайна и бизнеса.
Проект работает в формате закрытого членства, но множество мероприятий и лекций открыто по регистрации. Также все желающие могут посетить кафе на первом этаже.
Вся актуальная программа на с…
Делюсь полезным контактом на случай, если сейчас собираете свое портфолио или хотите обновить старое.
Моя знакомая Анастасия Гришнева проводит консультации по портфолио для дизайнеров и архитекторов.
Анастасия — ex-архитектор, книжный дизайнер HSE, участник выставок книжного искусства ✍️
Так что если вам нужно создать с нуля/обновить портфолио для поиска работы или стажировки,
подготовить портфолио для поступления…
Забегала на прошлой неделе в шоурум бренда sachet, там столько красоты!
Про яркую посуду, я уверена, вы уже знаете, а вот про пижамы бренда и летнюю одежду возможно не слышали. Поэтому заходите обязательно на сайт, чтобы увидеть новинки.
❤18🥰10😍6
Showing the 8 most recent of 8 posts we hold for @julia_vlubilas. 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.
Citation-graph rank
Citation-graph rank — 411,001 of 1,481,306entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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
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.
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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“Я влюбилась” (@julia_vlubilas), 6,007 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/julia_vlubilas.
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.