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 20 August 2026 and assigned it the closest of 31 fixed categories, at 37% 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
33 measurements spanning 43 days, net +119. 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 65,274–65,801 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
17 Sept 2026, 19:58
65,740
+55
15 Sept 2026, 17:40
65,685
+64
14 Sept 2026, 04:39
65,621
+186
12 Sept 2026, 09:36
65,435
+54
10 Sept 2026, 09:37
65,381
+46
7 Sept 2026, 05:35
65,335
-19
4 Sept 2026, 13:57
65,354
-17
3 Sept 2026, 01:47
65,371
-17
1 Sept 2026, 00:58
65,388
-8
31 Aug 2026, 01:23
65,396
+49
30 Aug 2026, 00:25
65,347
-14
28 Aug 2026, 21:27
65,361
-18
27 Aug 2026, 21:25
65,379
+2
26 Aug 2026, 19:55
65,377
-17
25 Aug 2026, 19:05
65,394
-22
24 Aug 2026, 20:26
65,416
-20
23 Aug 2026, 05:57
65,436
-50
21 Aug 2026, 14:57
65,486
-10
20 Aug 2026, 15:42
65,496
-25
19 Aug 2026, 16:05
65,521
first reading
Engagement
249 posts held, back to 30 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 108 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
33.5%
avg views ÷ 65,740 subscribers
Avg views / post
22,000
136 posts measured
Reaction rate
1.99%
reactions ÷ views · ER floor
Posts in window
136
of 249 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 26 September 2026
Posts held
249 (30 July 2026 – 26 September 2026)
Views total
2,992,200
Reactions total
59,489
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 14:42 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
≈4,060
Videos
≈283
Links
≈1,920
Lifetime counters from Telegram’s own channel header, read 27 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
23m 31s
Average length
59s
Measured directly from 24 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
110,715 reactions across 242 posts, in 11 distinct kinds. The most used accounts for 31.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
35,305
31.9%
😁
24,974
22.6%
👍
17,921
16.2%
😱
9,788
8.84%
🔥
6,374
5.76%
👏
5,959
5.38%
😭
5,175
4.67%
🤷♂
3,332
3.01%
🤝
1,417
1.28%
🥰
432
0.39%
😘
38
0.034%
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 249 of the 249 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 114,589 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 249 most recent posts we hold, published 30 July 2026 to 26 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.
Telegram Stars
Stars received
109
across the posts below
Posts paid on
40
of 249 we hold a reading for · 16%
Most on one post
50
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bozhenabozhenabozhena. 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 249 most recent posts we hold for this entry, published 30 July 2026 to 26 September 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.
Прекрасный Денис Драгунский:
ГОРЬКИЙ, ЛЕНИН И СОВРЕМЕННОСТЬ
В школе нам говорили, что Ленин высоко ценил роман Горького "Мать", и сказал: "очень своевременная книга". Мы, ученики 10-го класса, закладывали пальцы за проймы воображемого жилета, и говорили откровенно, просто, чисто по-ленински: "Да-с, батенька, книжечка у вас вышла агхидегьмовая, но очень своевгеменная и нужная пголетагиату!"
Похожие отзывы — на самы…
В фейсбуке притащили цитату из воспоминаний Марины Влади о Высоцком.
"Рождение двух сыновей, навязанное хитростями твоей жены, которая сообщала тебе об этом лишь тогда, когда уже было поздно что-либо предпринимать, привело тебя в отчаяние".
Это Влади о первой жене Людмиле Абрамовой.
Жены вообще такие хитрые. Самовольно беременеют без участия мужчин и их разрешения. Вот и Высоцкого постигла эта участь: как-то хитро…
📌The Atlantic опубликовал новые подробности о предупреждениях, которые Израиль получал перед 7 октября 2023 года. И там есть вот такой абзац. Он важный.
«Один из бывших высокопоставленных американских чиновников вспоминает: "Они были уверены — даже самоуверенны до наглости, — что ситуация у них под контролем"».
Сейчас евреи меня опять разлюбят, но молчать не могу, скажу. У меня создалось точно такое же впечатление …
Депутат Европарламента Рихард Колс упрекнул россиян, переехавших после 2022 года в Европу в отсутствии протестов.
Зато страны Балтии, Эстония особенно, с 1946 по 1987 так протестовали, так протестовали. Прям пример мужественного сопротивления нам показали. Жаль, их мужественная освободительная борьба все 50 лет советской оккупации нас так ничему и не научила.
Я уже как-то раз писала, что среди иранцев очень много здравомыслящих людей, анти-палестински настроенных. Вот выдающийся хирург иранского происхождения в ужасе от того, что каждый четвертый берлинец проголосовал за левых. «Берлин пойдет ко дну», — предупреждает он.
Дочь моих друзей оказалась в Париже в университете. Клиническая психология. Была в ужасе от засилья левацких настроений, от того, что им преподаватели н…
ПОПУГАЙ, КОТОРОГО НИКТО НЕ ЗВАЛ
А кто у нас живет в Испании или просто любит там бывать? Знаете ли вы, кто такой Которра? Как не знаете? Ай-яй-яй, за вас я краснею. Можно квокку не знать, тутуару или белоголового сипа, но нельзя же не знать, кто такой которра!
Которра это зелёный попугай. Точнее, зеленая попугаиха. В Испанию ее никто не приглашал: прилетела из дальних стран, освоилась и теперь смотрит на испанцев с…
🪦А Сергей Соседов ваш, по которому вся лента скорбит, — лютая пидовка, ватник, Пугачеву подтравливал, и вообще, человек-дрянцо. Так что, скатертью дорожка, его там чан с кипящей смолой уже заждался.
🤝475👍216😱134🔥66😭56🤷♂41😁38❤24
Showing the 12 most recent of 249 posts we hold for @bozhenabozhenabozhena. 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.
Posts edited after publishing
@bozhenabozhenabozhena edited 19 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
23 August 2026
Most recent edit
18 September 2026
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 13 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.
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.
Голос Израиля | Израиль Новости @voiceofisrael · 269,949#96
Read from Telegram’s recommendation API, most recently 21 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.
Зинаида Пронченко @ZinaidaPronchenko · 74,310 Telegram ranks this channel #3 of 97 here — alongside 96 others — read 19 August 2026
Героиня Татлера @tatlersheroine · 100,724 Telegram ranks this channel #4 of 93 here — alongside 92 others — read 15 August 2026
YUNA / Юния Пугачева @yunapugacheva · 28,237 Telegram ranks this channel #12 of 93 here — alongside 92 others — read 9 September 2026
Георгиева Снежанна @marvelous2309 · 38,269 Telegram ranks this channel #12 of 90 here — alongside 89 others — read 31 August 2026
Беляков @bellochkin · 28,999 Telegram ranks this channel #14 of 95 here — alongside 94 others — read 9 September 2026
Vsya takaya Mongayt @vsyatakayamongayt · 33,011 Telegram ranks this channel #14 of 93 here — alongside 92 others — read 4 September 2026
Миллиарды @overbillions · 31,402 Telegram ranks this channel #19 of 89 here — alongside 88 others — read 6 September 2026
Кровавая барыня @bloodysx · 1,178,521 Telegram ranks this channel #19 of 92 here — alongside 91 others — read 8 August 2026
Лиля Ким | Сторителлинг и блог @lilia_kim_story · 23,295 Telegram ranks this channel #21 of 93 here — alongside 92 others — read 18 September 2026
АДАГАМОВ @adagamov_online · 27,441 Telegram ranks this channel #23 of 93 here — alongside 92 others — read 10 September 2026
СОБЧАК @ksbchk · 381,978 Telegram ranks this channel #24 of 92 here — alongside 91 others — read 10 August 2026
🐍МОСКВИЧКА🐍 @glavmoskvichka · 34,917 Telegram ranks this channel #25 of 89 here — alongside 88 others — read 2 September 2026
Сотникова пишет @elenasotnikovaletters · 20,640 Telegram ranks this channel #27 of 93 here — alongside 92 others — read 26 September 2026
Анастасия Волочкова @volochkova_anastasiya · 25,628 Telegram ranks this channel #27 of 51 here — alongside 50 others — read 13 September 2026
Доктор Щербатова @JuliaSherbatova · 38,651 Telegram ranks this channel #27 of 90 here — alongside 89 others — read 31 August 2026
Вестник Мракобеса @nikabelonika · 66,859 Telegram ranks this channel #27 of 93 here — alongside 92 others — read 20 August 2026
НЕБОЖЕНА @imnotbozhena · 504,326 Telegram ranks this channel #27 of 90 here — alongside 89 others — read 9 August 2026
Рената Литвинова @renatalitvinova · 87,163 Telegram ranks this channel #30 of 79 here — alongside 78 others — read 18 August 2026
Сергей Григорьев-Апполонов @greywiese · 113,795 Telegram ranks this channel #31 of 63 here — alongside 62 others — read 15 September 2026
НЕПРОЗАМУЖ @mortalbeauty · 46,391 Telegram ranks this channel #32 of 89 here — alongside 88 others — read 27 August 2026
Алена и Америка @alena_america · 27,657 Telegram ranks this channel #36 of 80 here — alongside 79 others — read 10 September 2026
Юлия Высоцкая Official @vysotskayaofficial · 62,305 Telegram ranks this channel #36 of 91 here — alongside 90 others — read 21 August 2026
Патриаршие @patriarshie · 26,987 Telegram ranks this channel #37 of 93 here — alongside 92 others — read 11 September 2026
Оксана Лаврентьева @OxanaLavretieva · 39,016 Telegram ranks this channel #37 of 91 here — alongside 90 others — read 30 August 2026
This channel appears in 84 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.
Cross-platform identity — Wikidata
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.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“БОЖЕНА” (@bozhenabozhenabozhena), 65,740 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/bozhenabozhenabozhena.
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.