9 measurements spanning 22 days, net -24. 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 2,015–2,047 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
29 Aug 2026, 14:56
2,019
-1
26 Aug 2026, 22:49
2,020
-5
23 Aug 2026, 13:43
2,025
-5
19 Aug 2026, 19:12
2,030
-1
16 Aug 2026, 19:34
2,031
-3
13 Aug 2026, 16:36
2,034
-8
8 Aug 2026, 06:41
2,042
-1
7 Aug 2026, 10:31
2,043
no change
7 Aug 2026, 10:19
2,043
first reading
Engagement
10 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
2.92%
avg views ÷ 2,019 subscribers
Avg views / post
59.0
2 posts measured
Reaction rate
27.1%
reactions ÷ views · ER floor
Posts in window
2
of 10 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 4 August 2026
Posts held
10 (24 July 2026 – 4 August 2026)
Views total
118
Reactions total
32
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 17:05 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
130 reactions across 10 posts, in 6 distinct kinds. The most used accounts for 43.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
57
43.8%
❤🔥
41
31.5%
🥰
20
15.4%
😍
6
4.62%
🙏
3
2.31%
🤩
3
2.31%
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 10 of the 10 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 130reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 24 July 2026 to 4 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.
🔥🔥🔥🔥🔥
🔥🔥🔥🔥🔥🔥🔥🔥🔥
Ещё целый месяц лета впереди, а мне уже хочется жутких атмосферных хорроров, чтобы и старый загадочный дом, и озеро, и чтобы половицы скрипели, и мокрые следы на полу, и конечно же таинственная легенда в основе.
Взяла книгу по аннотации наугад, и утонула в потрясающей атмосфере.
Тут есть все, что я описала выше.
Кто-то скажет, что это банальные клишированные истории про призраков из озера, ничего нов…
Как же давно я не подводила итоги!
Но июль выдался вполне себе продуктивным.
Открытие месяца - цикл Яира Лапида.
Шаттам и Дациери, конечно, вне конкуренции.
А вот Игру вслепую, несмотря на классную задумку и интригу, я не поняла, даже не знаю, что и написать про неё.
Делитесь вашими итогами, насколько интересным выдался ваш июль?
🚺🚺🚺🚺🚺
🚺🚺🚺🚺🚺🚺
Каждая капелька дождя – это крохотная гроза. В них всех есть искра от молнии.
Джеймс Тогда Скотт
Насколько же захватывающей была аннотация, и как же я загорелась подобной тематикой про молнии, настолько же горько было разочаровываться в ожиданиях.
А задумка то какая!
Маньяк убивает женщин, в которых ударила молния, оставив свой неповторимый рисунок на теле.
А в центре истории - школьная учительница Э…
♒️♒️♒️♒️♒️
♒️♒️♒️♒️♒️♒️♒️
Ну все, мне срочно нужен весь цикл про Коломбу Каселли.
Начав читать, я поняла, что невозможно проникнуться книгой без предыстории дуэта Коломбы и Данте Торре.
Давно хотела прочесть весь цикл, надо непременно этим заняться.
Сандроне Дациери я знаю по книге "Зло, которое творят люди", и очень мне нравится подход автора к написанию триллеров..
А в этом цикле - я даже не знаю, что мне заш…
🔥🔥🔥🔥🔥🔥🔥🔥🔥
🔥🔥🔥🔥🔥🔥🔥
Просто удивительно, как легко склонить людей к жестокости, если убедить их, что они поступают правильно.
Клеменс Мишальон
После Тихой квартирантки, которая меня впечатлила, мне было любопытно прочесть новую книгу автора.
И знаете, несмотря на все недочёты, мне нравится ее стиль.
В новой книге раскрывается тема а сект. Сложная и одновременно незамысловатая.
Уж сколько историй описывают эту темат…
Красивое показывают💜
Я впервые вижу такую чёткую полную радугу🌺
❤🔥7🔥5🤩3
Signed Julia
Showing the 10 most recent of 10 posts we hold for @Julianaviolet. 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.
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 29 August 2026 — this
entry's latest reading, not the date you are reading this.
“Julianna Violet” (@Julianaviolet), 2,019 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/Julianaviolet.
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.
