Marketing & affiliate — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 43% 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 44 days, net -85. 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 14,328–14,466 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
19 Sept 2026, 01:58
14,365
+21
16 Sept 2026, 15:38
14,344
-8
14 Sept 2026, 17:57
14,352
-1
13 Sept 2026, 05:17
14,353
-2
11 Sept 2026, 08:57
14,355
-11
8 Sept 2026, 13:19
14,366
-1
5 Sept 2026, 09:56
14,367
-8
3 Sept 2026, 12:40
14,375
-6
2 Sept 2026, 08:04
14,381
+2
1 Sept 2026, 11:34
14,379
-3
31 Aug 2026, 11:04
14,382
-2
30 Aug 2026, 09:56
14,384
-1
28 Aug 2026, 11:56
14,385
-2
27 Aug 2026, 14:05
14,387
-2
26 Aug 2026, 10:56
14,389
-4
25 Aug 2026, 10:59
14,393
-7
24 Aug 2026, 08:39
14,400
-1
22 Aug 2026, 19:47
14,401
-6
21 Aug 2026, 10:53
14,407
-3
20 Aug 2026, 12:03
14,410
first reading
Engagement
30 posts held, back to 14 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 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.99%
avg views ÷ 14,365 subscribers
Avg views / post
1,440
7 posts measured
Reaction rate
3.54%
reactions ÷ views · ER floor
Posts in window
7
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 2 September 2026
Posts held
30 (14 July 2026 – 2 September 2026)
Views total
10,049
Reactions total
356
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 19:02 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
50s
Average length
25s
Measured directly from 2 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
1,513 reactions across 30 posts, in 15 distinct kinds. The most used accounts for 23.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
359
23.7%
❤
290
19.2%
👍
279
18.4%
😁
249
16.5%
🤣
228
15.1%
💯
47
3.11%
👌
22
1.45%
🥰
14
0.925%
👎
7
0.463%
😢
5
0.33%
🙈
4
0.264%
🤔
4
0.264%
👏
3
0.198%
✍
1
0.066%
🎄
1
0.066%
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 1,513 reactions 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 14 July 2026 to 2 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.
🟥🟥🟥🟥🟥
Торжественные линейки позади — можно спокойно подумать о ближайших планах. У нас много полезных мероприятий для вас ⬆️
🔴2 сентября в 14:00 — вебинар «Каналов больше, а смысла меньше? Как разорвать порочный круг внутрикома».
🔴3 сентября с 11:00 до 14:30 — онлайн-митап «Оценка руководителей: подходы, решения, результаты». Методологическая экспертиза ЭКОПСИ и кейсы компаний «Солар», «Самокат» и «Норникель Спут…
02.09.26 Улыбаемся и плачем. И зарабатываем
Наверняка вы видели этого человека в мемах.
Пожилой мужчина улыбается в камеру. Рот говорит: "всё хорошо". А глаза - "мне очень больно, но я держусь".
Так появился один из самых известных интернет-мемов "Hide the Pain Harold" (Гарольд, прячущий Боль).
Есть и дополнительная деталь, особенно забавная для людей из мира менеджмента.
"Гарольд" удивительно похож на Маршалла Го…
1.09.26 Первое Сентября
У меня как учащегося, всегда были непростые отношения с официальной системой образования.
В основном потому, что мне было не интересно. Я не понимал, зачем мне все эти предметы.
Чуть проще было, если преподавателю нравился его предмет, самому было в кайф. Тогда это противоречие было менее болезненным. И сложнее было, когда наоборот.
В школе у меня была очень слабая и не любящая свой предмет…
28.08.26 Должен ли руководитель быть предсказуемым
Я часто слышу: «хороший руководитель должен быть последовательным».
И это правда важно
Если руководитель сегодня требует одного, завтра - другого, а послезавтра делает вид, что вчерашнего разговора не было, команда быстро перестаёт понимать, на что вообще можно опираться
Последовательность создаёт доверие.
Но есть и обратная сторона
Слишком предсказуемый руководи…
25.08.26 Перестать работать своими руками - не универсальный рецепт
Есть довольно неприятный управленческий парадокс.
Человека повышают именно за то, что он хорошо умеет исполнять работу.
А после повышения именно эти привычки начинают ему мешать.
Исполнитель (не-руководитель) стремится:
- быстрее других разобраться
- найти правильное решение
- проконтролировать и решить возникающие проблемы
- довести до результата
…
19.08.26 Анализ результатов конкурса «Лидеры России. Команда»
Первая и вторая части статьи моих коллег из АНО «РСВ» и ЭКОПСИ
- важно ли для результата - какой в управленческой команде % мужчин и женщин?
- а возраст важен?
- влияет ли образование на бизнес результат?
- результативная команда - более, или напротив - менее конфликтная?
И много других интересных вопросов
https://лидерыроссии.рф/tpost/jyei0ji1n1-kakie…
18.08.26 Адекватно - лояльно
Про феномен личной лояльности есть много разных мнений.
В сильно политизированных организациях - это пожалуй главное качество хорошего подчиненного. Практически «вассальная присяга».
В организациях скорее меритократических (или технократических?) профессионализм ценится несколько выше. Однако и ценность лояльности - вовсе не падает до нуля.
1. Нелояльные
Используют любую ошибку руково…
17.08.26 Профессиональная деформация руководителя
Короткая зарисовка-размышление
Врач везде видит болезнь.
Писатель - сюжет.
Юрист видит риск.
Консультант (часто) модель.
А руководитель видит КПЭ*, процесс, ответственных, сроки и бюджет ))
*или цель, проблему, задачу требующих решения
Почему быть деформированным эффективно?
Как и с любым стереотипом - экономия ментальной и эмоциональной энергии в подходящих к ро…
Showing the 12 most recent of 30 posts we hold for @bezruchko_channel. 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
@bezruchko_channel edited 4 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
18 August 2026
Most recent edit
2 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 4 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.
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.
Филипп Гузенюк I Счастье в деятельности @guzenuk · 22,321 Telegram ranks this channel #11 of 99 here — alongside 98 others — read 21 September 2026
СберУниверситет @sber_university · 24,108 Telegram ranks this channel #16 of 100 here — alongside 99 others — read 17 September 2026
Эйчаргейт| Перезагрузка @hrgate · 54,297 Telegram ranks this channel #21 of 93 here — alongside 92 others — read 28 August 2026
Лидерская позиция | Андрей Шапенко @leadership_position · 27,168 Telegram ranks this channel #23 of 98 here — alongside 97 others — read 11 September 2026
Пригодится! 🍎 Библиотека для HR @savetoreadlater · 22,278 Telegram ranks this channel #38 of 100 here — alongside 99 others — read 21 September 2026
Skolkovo School of Management @skolkovo_channel · 43,165 Telegram ranks this channel #42 of 100 here — alongside 99 others — read 28 August 2026
Зайдите в кадры! @kadrovoedelojournal · 30,922 Telegram ranks this channel #76 of 100 here — alongside 99 others — read 6 September 2026
HR-аналитика @hranalitycs · 34,144 Telegram ranks this channel #79 of 100 here — alongside 99 others — read 3 September 2026
Сергей Иванов из ЭФКО @sergei_ivanov_efko · 64,275 Telegram ranks this channel #92 of 100 here — alongside 99 others — read 21 August 2026
Регулярный менеджмент для руководителей (Евгений Севастьянов) @regularmanagement · 22,896 Telegram ranks this channel #94 of 96 here — alongside 95 others — read 19 September 2026
HR[хаб]вакансии @hrhubvacancy · 22,415 Telegram ranks this channel #99 of 100 here — alongside 99 others — read 20 September 2026
This channel appears in 11 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Канал Павла Безручко” (@bezruchko_channel), 14,365 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/bezruchko_channel.
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.