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 21 August 2026 and assigned it the closest of 31 fixed categories, at 48% 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
16 measurements spanning 16 days, net -125. 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 59,759–59,924 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
22 Aug 2026, 15:03
59,780
+2
21 Aug 2026, 05:52
59,778
-47
20 Aug 2026, 08:58
59,825
-17
19 Aug 2026, 07:35
59,842
-26
18 Aug 2026, 10:56
59,868
-14
17 Aug 2026, 13:48
59,882
-7
16 Aug 2026, 07:26
59,889
-2
14 Aug 2026, 21:08
59,891
+90
13 Aug 2026, 09:15
59,801
-29
12 Aug 2026, 08:11
59,830
-10
11 Aug 2026, 09:02
59,840
-8
10 Aug 2026, 11:10
59,848
-8
9 Aug 2026, 11:34
59,856
-15
8 Aug 2026, 13:16
59,871
-9
7 Aug 2026, 13:08
59,880
-25
6 Aug 2026, 16:06
59,905
first reading
Engagement
30 posts held, back to 11 June 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 35 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
18.2%
avg views ÷ 59,780 subscribers
Avg views / post
10,900
13 posts measured
Reaction rate
5.73%
reactions ÷ views · ER floor
Posts in window
13
of 30 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 21 August 2026
Posts held
30 (11 June 2026 – 21 August 2026)
Views total
141,470
Reactions total
8,102
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Aug 2026, 13:21 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
3m 41s
Average length
1m 14s
Measured directly from 3 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
24,349 reactions across 30 posts, in 4 distinct kinds. The most used accounts for 46.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
11,427
46.9%
🤣
10,796
44.3%
😢
1,298
5.33%
🤔
828
3.40%
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 30 of the 30 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 24,349reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 11 June 2026 to 21 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
2
across the posts below
Posts paid on
1
of 30 we hold a reading for · 3%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @AleksBessonov. 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 30 most recent posts we hold for this entry, published 11 June 2026 to 21 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.
Наш рейс задержали на полдня! Казалось бы неприятно, но городом, из которого мы вылетали с коллегой, оказался – Сочи! Мы не сильно расстроились. Мы вообще не расстроились! «Люди годами копят на билеты сюда! Везение! Чистое везение!» – подумал я. Мы пошли гулять по Сириусу. Был прекрасный солнечный день.
На мне были штаны и куртка. Типичная одежда для Новосибирска. Прекрасный солнечный день становился невыносимым. По…
13.09.2026 в Новосибирск прилетает мой друг из Владикавказа писатель Сослан Плиев. Он привезет спектакль «Иногда нам снятся старые собаки».
Информация здесь:
Моноспектакль
"Иногда нам снятся старые собаки"
13 сентября - Новосибирск!
26 сентября - Воронеж!
23 декабря - Москва!
https://mertshow.com/event/sobaki
14.09.2026 он покажет свой знаменитый «Не стендап» в Академе. Еле уговорил его. Зал маленький( Билеты зд…
Август
В небольшом кафе под названием «Пивное искушение» шёл оживлённый разговор:
– Не вижу смысла жизни! Каждый день всё хуже и хуже… – устало рассуждала девушка и отпила из кружки, видимо, того самого «Искушения».
– А какие ещё новости?
– Ночью мужа крот укусил.
– Вот это интересно. Как?
– Петя возвращался ночью домой из этого же заведения и, вдруг видит, на проезжей дороге «мышонок не может залезть на бордюр». Е…
Во дворе. Два выпивших мужчины разговариваривают. С третьего этажа женский голос:
– Вы можете или тише или громче разговаривать?
– Зачем?
– Я заснуть не могу! И слова не разобрать!
(с) Александр Бессонов
Сегодня сказала парню, что люблю каждый его седой волос.
А он улыбается и говорит:
Каждый творец радуется своему творению!
(c) amuratovna_
АФИША НА НАШ ЛЕТНИЙ ТУР «ПОЧЕМУ ДЕВУШКИ ВЫБИРАЮТ ПЛОХИХ ПАРНЕЙ»:
МОСКВА
11 августа 19:00
Новая программа «Бессонов. Лирика»
Glavstandup Hall
Садовая-Спасская, 21/1
🎟️ БИЛЕТЫ: bessonov11aug.ticketscloud.org/
ВОРОНЕЖ
12 августа 19:00
Eventuki
Средне-Московская, 5
🎟️ БИЛЕТЫ: vr26…
Доминику надо корм заказать! Да какой корм?! Хватит думать о других! Ну хорошо, о чем тогда? Что я оставил после себя? Квартира недостроенная, машина… Стоп! Это тебе зачем? Думай! Не наслаждаться же глотком свежего воздуха?! Синевой неба! Это такая стереотипная чушь! А если я успею добежать… Нет! Всего минута! Тогда что… Буду вспоминать счастливые моменты. Прям прокручивать в голове. Первый глоток колы… Еще подумаю, …
Покупали черешню
Вчера с женой покупали черешню у уличных торговцев возле дома. Жена вела обстоятельный диалог с продавщицей. Я стоял рядом, строил умное лицо и держал пакеты. Мне казалось, мое умное лицо как-то должно было помочь моей жене в переговорах. Потом мой взгляд зацепился за персики на прилавке. Они были настолько хороши, что тут же перебил двух дам и громко спросил:
- А персики хорошие?
- Рано для персик…
Позвонил сегодня мошенник. Знает полное ФИО.
Говорит: Вам сейчас курьер передаст посылку для вашего мальчика. Продиктуйте код. Я отвечаю: Знаете, у меня нет никакого кода. Не переживайте, говорит мне молодой человек, я сейчас вам его пришлю. Вы только прочитайте. Я говорю: Ну вы же знаете, что никому нельзя диктовать коды. Он так уверенно:
Конечно. Только мне. Присылает. Я диктую ему) Он говорит: Мы вам не тот код от…
Аляска
Когда мне было 22 года, я поехал работать на Аляску. На корабле. В Датч-Харбор. Это гавань на острове Амакнак в составе Алеутских островов. И это не начало рассказа Джека Лондона. У нас в университете была такая программа «Work and travel». Подразумевалось, что студенты могли подработать на низкоквалифицированной работе в Штатах, а потом заработанные деньги потратить на путешествие по стране. И по идее я долж…
Был в командировке с коллегой в одном южном городе. Вспомнил, что в этом городе у меня живет товарищ по университету. Набрал ему. Он ответил:
– О, это ты! Давай встречаться! Бар?
– Я – за! Но я с коллегой.
– Давай с ним. Я на тренировке сына. Ща скину адрес, сюда приезжайте. Потом сына домой закинем – ну, и…
Мы приехали в детскую спортивную школу. Там было несколько футбольных полей. Везде играли дети. Рядом тренеры.…
Сегодня был совершен лучший подкат в моей жизни.
Стою в кофейне, рядом стоит мальчик, лет 8, с мамой. У мальчика солнцезащитные очки, бейсболка, козырьком назад.
Он смотрит на меня, происходит следующий диалог:
М: От Вас так вкусно пахнет
Я: Спасибо
М: Аромат такой знакомый, не могу вспомнить. Понял, так пахла моя первая любовь, но у меня ее еще не было.
Он стоит улыбается, мама извиняется, а я влюбилась!
(с) babbl…
Кит и слон
У входа в продуктовый магазин можно было наблюдать такую картину: разъярённая мама пыталась вытащить из игрального автомата игрушечного слоненка. Рядом с ней была коляска, в которой сидела маленькая девочка с небольшим серым китом в руках. Она так же, как и мама, орала на автомат с игрушками. Еще рядом стоял маленький мальчик, сын разъярённой мамы и брат девочки в коляске. Слон, которого пыталась вытащить…
❤832🤣219🤔30😢20
Showing the 12 most recent of 30 posts we hold for @AleksBessonov. 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.
Citation-graph rank
Citation-graph rank — 161,838 of 1,583,249entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 3 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 22 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.
Дмитрий Кравченко | Писатель @dominickrow_blog · 69,502 Telegram ranks this channel #20 of 67 here — alongside 66 others — read 20 August 2026
5 умных мыслей @worldthought · 178,114 Telegram ranks this channel #47 of 77 here — alongside 76 others — read 12 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. 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 22 August 2026 — this
entry's latest reading, not the date you are reading this.
“Александр Бессонов” (@AleksBessonov), 59,780 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/AleksBessonov.
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.
