Автор — Ксения, фанат гранжа, свободы вкуса и выбора.
Связь: @kseniyaprp
Если вы писали на старый pr-аккаунт, пожалуйста, продублируйте сюда 👆🏽
Ro8t33LFBpU1VUBV9SBgsdBgMPBRQEBQJVGlcDBw8dBFEHVlUBU1pTBAEG
Created
19 June 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Memes & entertainment — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 58% 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
26 measurements spanning 92 days, net -335. 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 6,731–7,166 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
7 Nov 2026, 00:31
6,781
-9
4 Nov 2026, 05:27
6,790
-4
1 Nov 2026, 00:44
6,794
-5
29 Oct 2026, 08:31
6,799
-5
26 Oct 2026, 02:17
6,804
-8
23 Oct 2026, 12:39
6,812
-8
20 Oct 2026, 07:16
6,820
-9
17 Oct 2026, 15:45
6,829
-21
15 Oct 2026, 02:07
6,850
-19
12 Oct 2026, 07:16
6,869
-17
5 Oct 2026, 07:42
6,886
-30
26 Sept 2026, 21:21
6,916
-47
15 Sept 2026, 03:41
6,963
-20
11 Sept 2026, 18:16
6,983
-29
7 Sept 2026, 15:21
7,012
-25
2 Sept 2026, 14:28
7,037
-27
30 Aug 2026, 13:38
7,064
-12
27 Aug 2026, 10:15
7,076
+2
24 Aug 2026, 10:02
7,074
-10
20 Aug 2026, 13:02
7,084
first reading
Engagement
19 posts held, back to 21 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 22 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.6%
avg views ÷ 6,781 subscribers
Avg views / post
717
8 posts measured
Reaction rate
7.27%
reactions ÷ views · ER floor
Posts in window
8
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 23 October 2026
Posts held
19 (21 July 2026 – 23 October 2026)
Views total
5,734
Reactions total
417
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Nov 2026, 01:37 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.
What this channel posts
Photos
≈4,090
Videos
≈115
Links
≈421
Lifetime counters from Telegram’s own channel header, read 9 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
41s
Average length
8s
Measured directly from 5 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
897 reactions across 19 posts, in 20 distinct kinds. The most used accounts for 59.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
531
59.2%
💋
205
22.9%
custom 5420199790694645379
26
2.90%
custom 5424720200824013319
16
1.78%
custom 5249458760321090906
14
1.56%
custom 5397905659138157874
14
1.56%
custom 5348396733598548602
13
1.45%
custom 5422525133233341274
9
1.00%
custom 5251368156752000758
8
0.892%
custom 5377704203152014220
8
0.892%
custom 5197368580911415534
7
0.78%
custom 5278693748006477255
7
0.78%
custom 5199696440300949584
6
0.669%
custom 5386545844302399947
6
0.669%
custom 5197340938501897447
5
0.557%
custom 5258196394543434043
5
0.557%
custom 5415700550459083235
5
0.557%
custom 5434051296447456764
5
0.557%
custom 5258133778215225464
4
0.446%
custom 5321554674057230556
3
0.334%
Custom emoji. 18 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 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 897 reactions 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 21 July 2026 to 23 October 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 8 posts held from the last 30 days (12.5%) 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).
извините, я задолжала фото Японии всем (и своим подругам), но мне нужен отдельный день, чтобы перебрать все фотодампы. в поездке телефон брать в руки, кроме как в качестве камеры, совсем не хотелось
у нас случился день в Катаре (трансфер), перевариваю Токио на пляже Дохи, морально готовлюсь к защите диплома и работе!
Япония — официально страна альтернативных хобби, такого количества физических приколов я не видела нигде!
в любой точке Осаки: фигурки аниме, фигурки marvel, cd, dvd. я вспомнила даже о существовании тамагочи, а Максим — о гейм бой (без понятия, что это)
во-первых, я в восторге.
во-вторых, как ребенок, конца нулевых и начала десятых не могла пройти мимо Дотонбори! для меня это Jetix + золотое время рекламы, которое здесь продолжается💔
📌Осака, Дотонбори, вывеска geico
топ моих любимых хорроров:
1. мигрень
2. галопирующая инфляция
3. новости
4. видео «я покупала билет до Берлина в 2018 году за 500 руб»
5. «Обсессия» и «Мы»
про учебу в вышке:
❣️я очень люблю учиться и умею это делать. я понимаю правила академической игры, понимаю, зачем нужны курсовые и дипломы. более того, в эпоху повального сдвг любые длинные работы — наше спасение
❣️учусь на проф переподготовке по маркетингу у хэдов крупных компаний; по факту нам дали программу магистратуры, упаковали ее в год и назвали это доп проф образованием!))
❣️к ВШЭ вопросов нет, учеба нрав…
в лесу выпила капучино на кокосовом, вместо фильтра, и я имею на это право
❤24💋15custom 51973685809114155347
Showing the 12 most recent of 19 posts we hold for @ksyuovs. 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
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
В женской шкуре @elya_bulochka · 48,310 Telegram ranks this channel #1 of 89 here — alongside 88 others — read 25 August 2026
Бьюти Блажь @womensabode · 18,374 Telegram ranks this channel #13 of 88 here — alongside 87 others — read 5 October 2026
Модная Курочка @ya_b_kupila · 22,227 Telegram ranks this channel #19 of 86 here — alongside 85 others — read 19 September 2026
Зашиваюсь, но пишу @zakharova_studio · 26,344 Telegram ranks this channel #26 of 90 here — alongside 89 others — read 17 September 2026
Встала и пошла! @vstalaipohla · 32,715 Telegram ranks this channel #27 of 83 here — alongside 82 others — read 4 September 2026
жопа луковичкой @dash_kupi_garazh · 30,845 Telegram ranks this channel #30 of 90 here — alongside 89 others — read 6 September 2026
Ненудный нюд @makeup_stories · 26,749 Telegram ranks this channel #31 of 88 here — alongside 87 others — read 11 September 2026
Без принципов, но с сумкой @kudriashovaa · 22,818 Telegram ranks this channel #35 of 80 here — alongside 79 others — read 18 September 2026
Искусство есть @artfoodjoy · 24,983 Telegram ranks this channel #35 of 94 here — alongside 93 others — read 14 September 2026
С прямой спиной @harnomy · 20,214 Telegram ranks this channel #38 of 89 here — alongside 88 others — read 29 September 2026
Мне только кончики @kkkmarya · 23,762 Telegram ranks this channel #46 of 87 here — alongside 86 others — read 16 September 2026
Красавица и Уходище @beautybyliza · 21,738 Telegram ranks this channel #50 of 88 here — alongside 87 others — read 23 September 2026
Визуальная манка @storiesMKramer · 27,698 Telegram ranks this channel #51 of 90 here — alongside 89 others — read 9 September 2026
бьютисóфия @beautysophia · 19,272 Telegram ranks this channel #54 of 89 here — alongside 88 others — read 2 October 2026
Патч на все лицо @po_krassote · 28,225 Telegram ranks this channel #59 of 85 here — alongside 84 others — read 30 September 2026
Бабское коммьюнити @community43 · 69,946 Telegram ranks this channel #59 of 91 here — alongside 90 others — read 20 August 2026
Сначала крем, потом поем @snachalakrem · 21,889 Telegram ranks this channel #60 of 87 here — alongside 86 others — read 22 September 2026
Мы вам не перезвоним @callme_back · 24,950 Telegram ranks this channel #79 of 92 here — alongside 91 others — read 16 September 2026
Каша в голове @kashapisha · 19,695 Telegram ranks this channel #84 of 91 here — alongside 90 others — read 29 September 2026
This channel appears in 19 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Кидаю стрелки” (@ksyuovs), 6,781 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/ksyuovs.
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.