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 11 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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.
Growth
13 measurements spanning 39 days, net -223. 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 8,860–9,149 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 00:00
8,893
-14
12 Sept 2026, 13:17
8,907
-31
8 Sept 2026, 03:21
8,938
-23
2 Sept 2026, 15:28
8,961
-20
30 Aug 2026, 21:37
8,981
-5
27 Aug 2026, 20:37
8,986
-13
24 Aug 2026, 19:48
8,999
-26
21 Aug 2026, 05:54
9,025
-17
18 Aug 2026, 11:42
9,042
-17
15 Aug 2026, 17:46
9,059
-36
12 Aug 2026, 02:32
9,095
-19
8 Aug 2026, 15:44
9,114
-2
7 Aug 2026, 16:15
9,116
first reading
Engagement
31 posts held, back to 29 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 30 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.33%
avg views ÷ 8,893 subscribers
Avg views / post
652
8 posts measured
Reaction rate
4.57%
reactions ÷ views · ER floor
Posts in window
8
of 31 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 28 August 2026
Posts held
31 (29 July 2026 – 28 August 2026)
Views total
5,213
Reactions total
238
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 15:49 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
1m 50s
Average length
28s
Measured directly from 4 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
1,520 reactions across 31 posts, in 9 distinct kinds. The most used accounts for 27.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5280786797238973708
420
27.6%
💘
406
26.7%
😍
347
22.8%
custom 5235896327342141160
115
7.57%
👏
61
4.01%
💯
56
3.68%
😢
45
2.96%
💔
43
2.83%
😁
27
1.78%
Custom emoji. 2 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 are 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 31 of the 31 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 1,520 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 29 July 2026 to 28 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
17
across the posts below
Posts paid on
10
of 31 we hold a reading for · 32%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kxrpovaa. 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 31 most recent posts we hold for this entry, published 29 July 2026 to 28 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.
Если вы думаете, что я не знаю,
о чём говорю, то я знаю
(к сожалению)
Когда я жила в Доминикане, то ходила там в один из лучших салонов, где мне ТАКОЕ творили на ногтях, что ни в одном салоне Москвы такого не видела.
У меня были свои длинные ногти, но мне их срезали, наклеивали типсы, которые были слишком широкими для моего ногтевого ложе, покрывали их гелем (который просвечивал), и под ногтями между типсой и моим…
Кайфую так от своего образа сегодня 💔
Особенно после того, как заметила, что полоски от джинсовки продолжаются на спортивных штанах! Считаю это гениальной случайностью.
Ах да, за два месяца моего отсутствия у нас в лифтах наконец сняли картонные обшивки, так что лифтолукам быть!!!
Явки-пароли на образ:
• джинсовка Adidas Originals (эксклюзив Китая)
• спортивные штаны Tatika Wear
• сумка Louis Vuitton
• кроссовки O…
Проснулись-улыбнулись!
Встала в 7 утра по мск, то есть по Гонконгу в 12 часов. Эта разница вообще очень легко переносится почему-то - просто чуть раньше клонит в сон вечером, и рано встаешь утром. Это ли не способ перейти на идеальное расписание сна? 😂
Погода прекрасная, мне сегодня предстоит разбирать мой 25-килограмовый чемодан, и пытаться запихнуть всю свою одежду в один шкаф))) поэтому, как я уже говорила в сто…
Вот такая, назовём её, ✨комфортная✨ подборка фотографий из вчерашнего вечера.
А что я всегда к вам лезу с этими эстетичными сериями? Нет, это, конечно, тоже прекрасно, но именно сейчас мне захотелось выложить вот что-то передающее эту атмосферу августа в Китае))
Мы в районе 7-ми часов вечера на катере отправились снова на другой берег, там забронировали столик в такерии (мексиканский бар с тако), где у нас был пунк…
Просто ужасно грустно осознавать, насколько скоротечно время. Как все мы взрослеем, стареем.. родители, бабушки, дедушки.
А самое грустное - ты не можешь их видеть так часто, как хотел бы. Законы природы не обманешь, но от подобного напоминания об этом в моей ленте мне снова будто обухом стукнули по голове, и вот я уже сижу и реву.
День приключений сегодня получился - мы ездили на катере на противоположную сторону Гонконга.
Вообще, это так классно: за 10 минут и символическую цену в ~100 руб вы можете получить кучу эмоций и впечатлений от поездки на этой лодке) весь день мы гуляли, зашли в местный храм (до сих пор в голове и волосах этот запах благовоний), просто разглядывали местный колорит. Ооочень много аутентичных мест - кофеен, барахолок,…
Showing the 12 most recent of 31 posts we hold for @kxrpovaa. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“ксюшкина жизнь” (@kxrpovaa), 8,893 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/kxrpovaa.
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.
