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 9 August 2026 and assigned it the closest of 31 fixed categories, at 73% 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 52 days, net -366. 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 138,242–138,718 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
26 Sept 2026, 15:57
138,297
-28
17 Sept 2026, 11:16
138,325
-11
15 Sept 2026, 09:37
138,336
-22
13 Sept 2026, 16:36
138,358
+22
12 Sept 2026, 00:57
138,336
-31
9 Sept 2026, 16:56
138,367
-3
6 Sept 2026, 12:19
138,370
-10
4 Sept 2026, 03:20
138,380
+1
2 Sept 2026, 19:49
138,379
-19
1 Sept 2026, 16:54
138,398
-22
31 Aug 2026, 15:34
138,420
-15
30 Aug 2026, 16:58
138,435
-16
29 Aug 2026, 15:53
138,451
-13
28 Aug 2026, 18:27
138,464
-12
27 Aug 2026, 15:35
138,476
-37
26 Aug 2026, 16:12
138,513
-23
25 Aug 2026, 16:18
138,536
-5
24 Aug 2026, 15:57
138,541
-17
22 Aug 2026, 21:34
138,558
+9
21 Aug 2026, 08:37
138,549
first reading
Engagement
124 posts held, back to 24 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 114 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
25.3%
avg views ÷ 138,297 subscribers
Avg views / post
35,000
64 posts measured
Reaction rate
2.87%
reactions ÷ views · ER floor
Posts in window
64
of 124 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 29 September 2026
Posts held
124 (24 July 2026 – 29 September 2026)
Views total
2,242,700
Reactions total
64,392
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Sept 2026, 12:26 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
≈5,550
Videos
≈452
Links
≈1,760
Lifetime counters from Telegram’s own channel header, read 29 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
10m 49s
Average length
50s
Measured directly from 13 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
109,259 reactions across 118 posts, in 55 distinct kinds. The most used accounts for 40.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
43,913
40.2%
🔥
29,689
27.2%
❤
10,440
9.56%
😁
7,651
7.00%
💯
5,646
5.17%
🤣
2,846
2.60%
🤡
1,578
1.44%
🙈
941
0.861%
🎉
867
0.794%
🫡
714
0.653%
👎
619
0.567%
👀
614
0.562%
👏
579
0.53%
🤔
542
0.496%
❤🔥
434
0.397%
✍
416
0.381%
😢
302
0.276%
🤬
236
0.216%
😱
166
0.152%
🤓
122
0.112%
35 further kinds
944
0.864%
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 124 of the 124 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 115,780 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 124 most recent posts we hold, published 24 July 2026 to 29 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
19.4%
24 of 124 posts carry an ad marker
Regulatory tokens
24
posts carrying an erid · 17 distinct tokens
Median views · ads
39,200
over 24 measured posts
Median views · rest
36,600
over 100 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
2Vtzqwe6p2o
8
24 July 2026
27 August 2026
2VSb5yD4ybx
1
7 September 2026
7 September 2026
2VtzqujvmKz
1
16 September 2026
16 September 2026
2VtzqurDLu1
1
2 September 2026
2 September 2026
2VtzqvBUV9n
1
25 September 2026
25 September 2026
2VtzqviH2Gj
1
28 August 2026
28 August 2026
2VtzqvsR7Ti
1
28 September 2026
28 September 2026
2VtzqvxzraG
1
21 September 2026
21 September 2026
2Vtzqw5Y538
1
26 July 2026
26 July 2026
2Vtzqx1t4AP
1
19 August 2026
19 August 2026
2Vtzqx7p1Hm
1
31 August 2026
31 August 2026
2VtzqxJ7GG2
1
29 July 2026
29 July 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. 5 further tokens are held for this entry and not listed here.
Measured over the 124 most recent posts we hold, published 24 July 2026 to 29 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.
Броненосный крейсер Жанна д' Арк - типичный/нетипичный француз.
Детище главного кораблестроителя Франции Эмиля Бертена и верфи в Тулоне. Типичный он потому, что всë не как у всех - обычная история для французов.
Не типичный, от того, что даже для Республики крейсер получился из ряда вон.
Заложен в 1896, сдан в 1902. 145.4 м. при 19.5 м. ширины. С бронепоясом в 150 мм. нëс 2 194 мм. пушки в двух башнях и 14 пушек 13…
Что делали европейские державы, когда Китай отказывался покупать их товары? Присваивали его секреты силой и хитростью.
В торговле с Поднебесной европейцам долгое время было просто нечего предложить взамен. Шелк, фарфор и чай пользовались в Европе колоссальным спросом, а главным средством расчета выступало серебро. В результате на протяжении почти трех веков драгоценный металл со всего Старого Света лавиной утекал в …
👀Поясни за жупан! Cредневековый гардероб без прикрас
Как наши предки встречали гостей по одежке, чем отличался костюм состоятельного гражданина и почему предметы гардероба охотно передавали по наследству - обсуждаем в совместном видео с Комнатным Рыцарем. В общем, обстоятельно поясняем за средневековый шмот!
►Немедленно стать рыцарем! Скачивай бесплатно.
►Купить тюменские роботы-пылесосы напрямую у разработчика. Пр…
Война Камбрейской лиги (1508-1516) своими словами, или почему я люблю Возрождение.
Итальянские войны, как известно, растянулись на цельных восемь войн с 1494 до 1559.
Две первые войны прошли зажигательно.
И вот, папа Юлий II, взобравшись на место вовремя помершего Александра Борджиа, оглядевшись внимательно по сторонам, обратился к честнОму собранию.
- Послушайте, господа! А чего бы нам не собраться и не навалять В…
Период между Первой и Второй мировыми войнами выдался не очень большим, но богатым на события. Во время интербеллума развитие танков не останавливалось: появлялись огнеметные и химические машины, продолжались эксперименты с калибрами, количеством орудийных башен, танками прорыва и сопровождения пехоты…
О чем все это говорит? Конечно же о том, что мы с коллегой-историком Алексеем Исаевым продолжаем праздновать день р…
❗️Разыгрываем пять двухтомников «Берлин 1945»
➖Фонд «Я помню» разыгрывает пять комплектов двухтомника «Берлин 1945 с подписями авторов.
➖Каждый победитель получит сразу две книги:
▪️«Берлин 1945. Прорыв к городу» — о наступлении Красной Армии на подступах к немецкой столице.
▪️«Берлин 1945. Последний бой» — о последних днях сражения: уличных боях, штурме Рейхстага и завершении битвы за Берлин.
⭐ Как получить дву…
Напоминаю, в среду 30-го!
Хроники революции в легендарном Доме Книги Санкт-Петербурга!
30 сентября в Санкт Петербургском Доме Книги — в самом сердце колыбели трех революций — Клим Жуков и Александр Васнев! Они представят книгу «Революционный террор: от „Народной воли“ до Боевой организации эсеров» — первый выпуск серии «Хроники революции».
Живой, острый разговор о времени, когда судьба страны решалась в подпольных…
Каролингский меч из Барабинского могильника, Западная Сибирь.
В 1976 г. экспедицией Сибирского Отделения АН СССР под руководством Вячеслава Молодина в 120 км от Новосибирска нашли каролинский меч в идеальной сохранности.
Всë бы ничего, но могильник относился к андроновской культуре 16-12 вв. до н.э. А меч - 11 века вполне нашей эры.
Дело было так. Ученик Молодина Александр Липатов ошибся, закладывая планшеты раско…
Ещё одна загадка:
Применяя ЕИ (Естественный Интеллект), переведите надпись в доле меча.
Для облегчения: только на одной стороне, и вот вам буквенная расшифровка:
NOMENE.
Да, меч позднекаролингский, относится к второй половине XI века.
Реннен - турнир войны.
Для него было положено специальное снаряжение, начисто гарантирующее от серьëзных травм.
Но, всë таки, когда в тебя на полном скаку тыкают острым копья - это бодрит.
🔥426👍196❤24😁15💯7🏆5
Showing the 12 most recent of 124 posts we hold for @klimzhukoff. 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
@klimzhukoff edited 1 post 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
12 August 2026
Most recent edit
12 August 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 23 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.
Read from Telegram’s recommendation API, most recently 13 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.
ЦИФРОВАЯ ИСТОРИЯ – Егор Яковлев @egoryakovleff · 61,687 Telegram ranks this channel #1 of 93 here — alongside 92 others — read 22 August 2026
АГИТПРОП @Agitblog · 109,207 Telegram ranks this channel #7 of 88 here — alongside 87 others — read 14 August 2026
Евгений Спицын @SpicynEY · 28,905 Telegram ranks this channel #10 of 92 here — alongside 91 others — read 9 September 2026
Советские учебники @sovuche · 105,414 Telegram ranks this channel #10 of 94 here — alongside 93 others — read 21 August 2026
Семен Уралов @su2050 · 81,037 Telegram ranks this channel #16 of 89 here — alongside 88 others — read 18 August 2026
Дневник депутата @bondarenko_blog · 48,453 Telegram ranks this channel #19 of 97 here — alongside 96 others — read 17 September 2026
[BadComedian] @TheBadComedian · 605,674 Telegram ranks this channel #21 of 86 here — alongside 85 others — read 8 August 2026
Простые числа @primenumbers2021 · 68,526 Telegram ranks this channel #23 of 92 here — alongside 91 others — read 20 August 2026
РТФ Российский Трудовой Фронт (РОТ ФРОНТ) @RotFront_su · 24,804 Telegram ranks this channel #28 of 93 here — alongside 92 others — read 15 September 2026
MovieChannel @movie7channel · 22,462 Telegram ranks this channel #29 of 80 here — alongside 79 others — read 21 September 2026
Думай сам/Думай сейчас. @dumai_sam_i_sei4as · 29,525 Telegram ranks this channel #38 of 88 here — alongside 87 others — read 8 September 2026
GreenGrass @greengrassreal · 30,580 Telegram ranks this channel #38 of 86 here — alongside 85 others — read 7 September 2026
Tynu40k Goblina (oper.ru) @oper_goblin · 493,692 Telegram ranks this channel #39 of 90 here — alongside 89 others — read 9 August 2026
Олег Ясинский @olegyasynsky · 59,135 Telegram ranks this channel #40 of 95 here — alongside 94 others — read 22 August 2026
Poleznyibes Батины Новости @batyanews · 58,218 Telegram ranks this channel #41 of 83 here — alongside 82 others — read 22 August 2026
Пока вы спали @pvsgns · 27,427 Telegram ranks this channel #42 of 90 here — alongside 89 others — read 10 September 2026
Мы из СССР | История @sssr_history2 · 267,599 Telegram ranks this channel #46 of 91 here — alongside 90 others — read 14 August 2026
THUJOY @TheThujoy · 26,017 Telegram ranks this channel #47 of 81 here — alongside 80 others — read 13 September 2026
НАШЫ ИГРЫ @ixbtnashy · 22,826 Telegram ranks this channel #48 of 94 here — alongside 93 others — read 19 September 2026
ДиШ: фантастика и фэнтези @fantasy_jedi · 28,604 Telegram ranks this channel #49 of 92 here — alongside 91 others — read 13 September 2026
Вселенная Плюс @vselennayaplus · 83,091 Telegram ranks this channel #49 of 95 here — alongside 94 others — read 18 August 2026
Аврора @aurora_network · 30,405 Telegram ranks this channel #53 of 94 here — alongside 93 others — read 7 September 2026
Yuri The Professional @YuriProfessional · 69,821 Telegram ranks this channel #53 of 84 here — alongside 83 others — read 24 August 2026
Шеф-повар Василий Емельяненко / Рецепты @chefvasiliy · 47,710 Telegram ranks this channel #56 of 79 here — alongside 78 others — read 26 August 2026
This channel appears in 48 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.
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.
Премия (фильм, 1974)(ru.wikipedia.org) “…который свернул СССР в 70-х. К сожалению, оставшаяся без внимания"https://t.me/klimzhukoff/7683.
== Примечания ==
{{примечания}}
== Литература ==…” read 20 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Клим Жуков” (@klimzhukoff), 138,297 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/klimzhukoff.
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.