Film & TV — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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
35 measurements spanning 44 days, net -1,230. 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 372,406–374,319 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
19 Sept 2026, 00:59
372,627
-84
16 Sept 2026, 17:18
372,711
-116
14 Sept 2026, 23:02
372,827
-171
13 Sept 2026, 10:40
372,998
-103
11 Sept 2026, 16:19
373,101
-211
9 Sept 2026, 05:17
373,312
-213
5 Sept 2026, 18:19
373,525
-179
3 Sept 2026, 19:40
373,704
-72
2 Sept 2026, 10:55
373,776
-24
1 Sept 2026, 09:25
373,800
-72
31 Aug 2026, 08:38
373,872
-69
30 Aug 2026, 09:47
373,941
+13
29 Aug 2026, 06:47
373,928
-61
28 Aug 2026, 03:34
373,989
-84
27 Aug 2026, 03:05
374,073
-25
26 Aug 2026, 00:22
374,098
+541
24 Aug 2026, 22:44
373,557
+209
23 Aug 2026, 06:07
373,348
-177
21 Aug 2026, 16:07
373,525
-102
20 Aug 2026, 12:24
373,627
first reading
Engagement
348 posts held, back to 5 August 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 93 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.28%
avg views ÷ 372,627 subscribers
Avg views / post
19,700
240 posts measured
Reaction rate
1.34%
reactions ÷ views · ER floor
Posts in window
240
of 348 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 19 September 2026
Posts held
348 (5 August 2026 – 19 September 2026)
Views total
4,725,930
Reactions total
63,233
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
20 Sept 2026, 05:50 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
≈52,600
Videos
≈5,340
Links
≈3,950
Lifetime counters from Telegram’s own channel header, read 20 September 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
1h 33m
Average length
1m 00s
Measured directly from 94 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
94,341 reactions across 344 posts, in 23 distinct kinds. The most used accounts for 45.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
42,497
45.0%
🔥
14,271
15.1%
😁
9,143
9.69%
👍
6,114
6.48%
❤🔥
5,061
5.36%
💔
4,336
4.60%
👎
2,643
2.80%
💯
2,415
2.56%
🙈
1,363
1.44%
👏
1,233
1.31%
🙏
817
0.866%
👀
774
0.82%
😱
650
0.689%
💋
582
0.617%
🤯
534
0.566%
😎
425
0.45%
🤝
410
0.435%
👌
386
0.409%
🤷♀
232
0.246%
🎉
167
0.177%
3 further kinds
288
0.305%
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 348 of the 348 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 95,188 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 348 most recent posts we hold, published 5 August 2026 to 19 September 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.
Advertising
Ad load
3.74%
13 of 348 posts carry an ad marker
Regulatory tokens
13
posts carrying an erid · 13 distinct tokens
Median views · ads
18,800
over 13 measured posts
Median views · rest
19,200
over 335 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2Vfnxva9X1V
1
5 August 2026
5 August 2026
2VfnxvePxd2
1
3 September 2026
3 September 2026
2VfnxwEMwRE
1
30 August 2026
30 August 2026
2VfnxwX5Tbh
1
19 August 2026
19 August 2026
2VfnxxLCAQ4
1
18 September 2026
18 September 2026
2VfnxxX3wf2
1
17 September 2026
17 September 2026
2VfnxyCouaT
1
12 August 2026
12 August 2026
2VtzqwtTPX1
1
7 August 2026
7 August 2026
2VtzqxCpXw9
1
14 August 2026
14 August 2026
2VtzqxE53NC
1
7 September 2026
7 September 2026
2VtzqxNecLs
1
29 August 2026
29 August 2026
2Vtzqxet2K6
1
11 September 2026
11 September 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it. 1 further token is held for this entry and not listed here.
Measured over the 348 most recent posts we hold, published 5 August 2026 to 19 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Масс-маркет продолжает стратегию дозированного «внедрения люкса». Коллаборации с модными домами от H&M, сотрудничество ZARA с Гальяно, а теперь ASOS захантили точно самого звездного стилиста прямо сейчас, Лоу Роуча, в качестве своего резидента. Он будет задействован в креативной части рекламных кампанией, продумывать стилистику продвижения интернет-магазинов ASOS, стилизовать некоторые съемки, например, для периодики…
В Монако князь Альбер II отметил важную веху — двадцатилетие своего правления — в окружении княгини Шарлен и целой плеяды звезд.
Кристина Агилера, Моника Беллуччи, Изабель Юппер, Ричард Гир, Ева Герцигова — вот некоторые из гостей вечера.
Агилера, конечно, останавливаться с глоу-апом не собирается.
Спасибо моим друзьям и партнёрам Ире и Боре Зарьковым за такой красивый и вкусный праздник! 15 лет кормить и поить нас — дело непростое😂😂😂
И отдельное спасибо за дресс-код «ретрокосмофутуризм» — нам было где разгуляться и замешать редкие коллекционные вещи Миуччи и Матье 😉
на мне:
total look — Prada
сапоги — Saint Laurent
серьги — Dries Van Noten
сумка — Chanel
Я, конечно, не перестаю удивляться, сколько возможностей для школьников дарят современные технологии обучения. То, что казалось в годы моей учебы чем-то из фантастических книг для нынешнего поколения — реальность.
Причем, для вовлечения в классные проекты вовсе не надо идти в какие-то элитные школы и тратить сотни тысяч на дополнительное образование.
Вот сейчас Сферум проводит Всероссийский хакатон «Идея Фикс» для …
Не так часто в качестве приглашения мне устраивают целые необычные перфомансы, но вот вчера открываю дверь — а на лестнице меня ждет шаман (слава богу настоящий😂). В общем, было понятно, что вечер обещал быть интересным)
Так и получилось, когда я приехала в wellness-комплекс Тенгри. Он пропитан атмосферой Алтая, которая чувствуется буквально во всем — от архитектуры и ароматов до бань и бассейнов. Их, кстати, два — …
Перестановки не отпускают никого. Сегодня стало известно, что Гленн Мартенс уходит из Diesel после шести лет работы в бренде.
Его последний показ для бренда состоится уже на грядущей неделе в Милане. В Diesel Мартенс пришел в 2020 году и довольно быстро превратил деним из просто продукта в полноценное культурное высказывание, а его шоу постоянно становились виральными и обсуждались в прессе.
Теперь Гленн сосредоточ…
Скажу честно — очень удобно с наступлением холодов идти за новыми теплыми и уютными вещами к себе же в магазин😉❤️
Вам, друзья, в sbchk.ru тоже советую заглянуть❤️
Самый большой русский режиссёр, мой любимый режиссёр, русский гений Звягинцев — иноагент.
Позор, вредительство, выстрел в сердце российской культуры.
😎 Кровавая барыня в MAX
Ида Галич давно «дружит» с модой, поэтому её попадание в рубрику #взвешиваемлук было неизбежно 😁
Для разбора взяла образ, собранный Идой вместе со стилистом Олегом Горчаниным, в котором они совместили архивные айтемы с новыми.
Кстати, Олег не только стилизовал лук, но и выступил дизайнером юбки, так что это кастом, цена по запросу 😁😉
Акцент образа, который сразу привлекает внимание, — куртка с мехом, это архивный …
Легендарный образ Alexander McQueen с показа Plato’s Atlantis ушел с молотка за 1,3 миллиона долларов на аукционе Fair Warning.
Ранее комплект из туфель и платья принадлежал Наоми Кэмпбелл — она в нем даже появлялась на Fashion for Relief в 2010 году.
Изначальная оценка составляла 600 тысяч, но итоговая цена поднялась до 1,3 млн. Вполне оправданная сумма за такой лот.
❤109🔥65👍22👎5💔5👏3⚡2
Showing the 12 most recent of 348 posts we hold for @ksbchk. 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.
Posts edited after publishing
@ksbchk edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
25 August 2026
Most recent edit
12 September 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 87 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 73 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 10 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
VOGUE-religion @religion_vogue · 25,744 Telegram ranks this channel #1 of 90 here — alongside 89 others — read 13 September 2026
Мамкина модница @mamkina · 30,156 Telegram ranks this channel #1 of 87 here — alongside 86 others — read 7 September 2026
Sveta Bondarchuk @lovepeacesvet · 54,439 Telegram ranks this channel #2 of 89 here — alongside 88 others — read 23 August 2026
Стрелец-Молодец @strelets_molodec · 355,464 Telegram ranks this channel #2 of 86 here — alongside 85 others — read 10 August 2026
Русская барыня @russkaya_barynya · 43,181 Telegram ranks this channel #3 of 86 here — alongside 85 others — read 28 August 2026
Голубь Мира Яна Рудковская @doveoftheworld · 60,828 Telegram ranks this channel #3 of 91 here — alongside 90 others — read 22 August 2026
Журнал «Москвичка» @moskvichka_mag · 102,398 Telegram ranks this channel #3 of 90 here — alongside 89 others — read 15 August 2026
Бабская курилка @kureelka · 124,870 Telegram ranks this channel #3 of 91 here — alongside 90 others — read 13 August 2026
SERDAR KAMBAROV @serdarkambarov · 24,380 Telegram ranks this channel #4 of 81 here — alongside 80 others — read 16 September 2026
Историк Мод Анатоль Вовк @istorikmod · 25,988 Telegram ranks this channel #4 of 91 here — alongside 90 others — read 13 September 2026
ROGOV.NEWS @rogov_news · 31,060 Telegram ranks this channel #4 of 82 here — alongside 81 others — read 6 September 2026
Печенюшки&Co @pechenuwki · 34,394 Telegram ranks this channel #4 of 84 here — alongside 83 others — read 3 September 2026
СЕЛЕБРИТИ @selebrty · 23,498 Telegram ranks this channel #5 of 87 here — alongside 86 others — read 18 September 2026
Already Famous @alreadyfamous · 26,557 Telegram ranks this channel #5 of 81 here — alongside 80 others — read 12 September 2026
МУД @okeymood · 35,781 Telegram ranks this channel #5 of 88 here — alongside 87 others — read 2 September 2026
KSUSHA SMO @styledbysmo · 38,718 Telegram ranks this channel #5 of 76 here — alongside 75 others — read 31 August 2026
КРАСОТА ТРЕБУЕТ КЭШ @beautycash · 56,962 Telegram ranks this channel #5 of 91 here — alongside 90 others — read 23 August 2026
Lena Perminova @lenaperminova_official · 79,175 Telegram ranks this channel #5 of 79 here — alongside 78 others — read 18 August 2026
A L E K Ó @aleko_n17 · 104,218 Telegram ranks this channel #5 of 88 here — alongside 87 others — read 15 August 2026
РадиоПатрики RadioPatriki @radiopatriki · 23,995 Telegram ranks this channel #6 of 77 here — alongside 76 others — read 17 September 2026
Личное о Наличном @zhidkovskiy_fashion · 67,454 Telegram ranks this channel #6 of 83 here — alongside 82 others — read 20 August 2026
Дневник Лауры Д @Lauradjagadiary · 76,529 Telegram ranks this channel #6 of 87 here — alongside 86 others — read 19 August 2026
Москва носит Биркин @mos_glyanec · 121,985 Telegram ranks this channel #6 of 85 here — alongside 84 others — read 13 August 2026
Валерия Гайя Германика @leragermanica · 23,352 Telegram ranks this channel #7 of 91 here — alongside 90 others — read 18 September 2026
This channel appears in 690 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
8 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Шаргунов, Сергей Александрович(ru.wikipedia.org) “…местами эта конкуренция удерживает нерв книги»{{Cite web |url=https://t.me/ksbchk/8753 |title=Telegram: Contact @ksbchk<!-- Заголовок добавлен ботом…” read 13 September 2026
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“СОБЧАК” (@ksbchk), 372,627 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/ksbchk.
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.