Literature — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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 why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
3,020 average views per post against 1,821 subscribers — an engagement rate of 165.6%. Across the 54,164 registered channels in the same cohort — 1,000–3,162 subscribers, posting mainly in Russian — the middle half sit between 10.5% and 35.6%, with a median of 20.1%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
19 of 19 published in the window (7 exact, 12 rounded by Telegram)
Views totalled
57,300
Mature posts only
165.6% over 19 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
4 measurements spanning 7 days, net +217. 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 1,571–1,854 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 21:59
1,821
+66
9 Aug 2026, 16:38
1,755
+151
6 Aug 2026, 11:35
1,604
no change
6 Aug 2026, 09:40
1,604
first reading
Engagement
19 posts held, back to 14 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
165.6%
avg views ÷ 1,821 subscribers
Avg views / post
3,020
19 posts measured
Reaction rate
2.50%
reactions ÷ views · ER floor
Posts in window
19
of 19 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 August 2026
Posts held
19 (14 July 2026 – 6 August 2026)
Views total
57,300
Reactions total
1,430
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 17:57 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
Video runtime
8m 28s
Average length
2m 49s
Measured directly from 3 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
1,430 reactions across 19 posts, in 19 distinct kinds. The most used accounts for 38.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💔
555
38.8%
❤
340
23.8%
😭
145
10.1%
❤🔥
83
5.80%
🔥
76
5.31%
😱
73
5.10%
custom 5271762396640200492
33
2.31%
custom 5271544607438557048
25
1.75%
custom 5416000034233664247
24
1.68%
🥰
20
1.40%
💋
19
1.33%
custom 5417839474237265023
9
0.629%
⚡
8
0.559%
👏
7
0.49%
🤝
6
0.42%
🎉
3
0.21%
custom 5427351491063070746
2
0.14%
💘
1
0.07%
🦄
1
0.07%
Custom emoji. 5 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 areTelegram’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 1,430reactions 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 14 July 2026 to 6 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 19 we hold a reading for · 11%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sophiescarlet_art. 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 19 most recent posts we hold for this entry, published 14 July 2026 to 6 August 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.
🤩🤩🤩🤩🤩🤩🤩🤩
🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩
🤩🤩🤩
🤩🤩🤩
🤩🤩🤩
🤩5 штук в наборе, можно выбрать любые водотталкивающие ткани из нашего каталога ⬅️ (это ссылка на каталог)
🤩размер 16х22 (легко подрезать)
🤩на ткани не остается следов от стикеров!
🤩можно собрать комплект с чехлом для ридера
🤩водотталкивающие и тонкие
🤩можно использовать как самостоятельный декор так и украсить стикерами как на видео
🤩750р (за …
✨Распаковка посылки с книгами! ✨
Тихая, шуршащая, то что надо сейчас :)
Они приехали от Книжного Димы из Нижнего Новгорода!
Мы собрали уже большую библиотеку в рамках нашей акции ⬅️и поняли, что совсем не показываем эту красоту!
А для жителей Волгограда есть возможность брать у нас книги на чтение как в библиотеке 😏
Написать нам сюда ⬅️
Могу поспорить, что здесь собрались книголюбы!
А это значит, что вы точно любите смотреть и читать истории.
Тесно работая с Wildberries мы совсем не транслировали нашу работу здесь, только показывали новинки. Теперь будем исправляться!
✨✨«Встал поутру, умылся, привел себя в порядок — и сразу же приведи в порядок свою планету…иначе она вся порастет баобабами ». ✨✨
Антуан де Сент-Экзюпери
Наводя порядок в мастерско…
Что у нас случилось - свежие новости 🍃🌱
Как говорится:
«поплакали, по🚽кали, теперь снова, опять на позитиве!»
*истерический смех*
Вайлдберрис подняли цены на товары отправляющиеся с нашего склада и сильно снизили цены на наши товары которые хранятся на их складах по России. Для чего это делается - чтобы максимально освободить их склады от товаров, которые могут пострадать. Поэтому вы возможно заметили странное пов…
Кто спрашивал про скидку 50%, она еще работает, мы восстанавливаем потери, которые увеличиваются быстрее чем восстанавливаются 😢
От цен что вы видите на вб (фиолетовые) еще минус 50%!
Делайте скриншоты того что понравилось и присылайте сюда
⤵️⤵️⤵️
🤩🤩🤩🤩🤩🤩🤩🤩
Город спит - мы нет.
Починили наш сайт! Теперь рыбов обложки не только показываем, можно собрать в корзину и заказать!)
sophiescarletart.ru
🤩🤩🤩🤩🤩🤩🤩🤩
Мы всем по очереди отвечаем, немножко терпения 🙏
Спасибо за помощь, вы- мощь!❤️
Хотим пояснить, почему мы отправляем вас выбирать товары на ВБ и присылать скриншоты.
Вб у нас всегда был ведущим. И на нем самые свежие данные по остаткам товара, у нас 1800+ артикулов! Мы физически не успеем постоянно обновлять их правильное количество и в остальных каналах тоже :озон,яндекс, сайт. Сайт у нас сейчас вообще существует …
❤40🥰12🔥9
Showing the 12 most recent of 19 posts we hold for @sophiescarlet_art. 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 — 16,154 of 1,151,006entries 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
Named by 20 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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“𝐒𝐨𝐩𝐡𝐢𝐞𝐒𝐜𝐚𝐫𝐥𝐞𝐭𝐀𝐫𝐭 • Книжные обложки” (@sophiescarlet_art), 1,821 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/sophiescarlet_art.
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.
