Education — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far below this size band
43.0 average views per post against 10,399 subscribers — an engagement rate of 0.413%. Across the 21,335 registered channels in the same cohort — 10,000–31,621 subscribers, posting mainly in Russian — the middle half sit between 5.84% and 23.6%, with a median of 12.1%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
11 of 11 published in the window (11 exact, 0 rounded by Telegram)
Views totalled
473
Mature posts only
0.413% over 11 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_low, last confirmed 5 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
57 measurements spanning 92 days, net -1,659. 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 7,648–17,681 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)
Subscribers
Change
7 Nov 2026, 16:48
10,196
-58
6 Nov 2026, 15:57
10,254
-65
5 Nov 2026, 17:48
10,319
-80
4 Nov 2026, 14:21
10,399
-69
3 Nov 2026, 16:36
10,468
-52
2 Nov 2026, 16:25
10,520
-120
1 Nov 2026, 17:35
10,640
-330
31 Oct 2026, 16:29
10,970
-186
30 Oct 2026, 14:50
11,156
-591
29 Oct 2026, 14:37
11,747
-764
28 Oct 2026, 15:16
12,511
-543
27 Oct 2026, 13:54
13,054
-709
26 Oct 2026, 11:30
13,763
-654
25 Oct 2026, 08:50
14,417
-570
24 Oct 2026, 12:16
14,987
-730
23 Oct 2026, 15:17
15,717
-806
22 Oct 2026, 17:46
16,523
+6,718
19 Oct 2026, 18:50
9,805
-308
18 Oct 2026, 21:35
10,113
-385
17 Oct 2026, 22:30
10,498
first reading
Engagement
47 posts held, back to 8 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 56 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.408%
avg views ÷ 10,196 subscribers
Avg views / post
41.6
11 posts measured
Reaction rate
14.6%
reactions ÷ views · ER floor
Posts in window
11
of 47 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 6 November 2026
Posts held
47 (8 July 2026 – 6 November 2026)
Views total
458
Reactions total
67
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 09:08 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
1m 36s
Average length
16s
Measured directly from 6 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
378 reactions across 47 posts, in 9 distinct kinds. The most used accounts for 40.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
153
40.5%
❤
119
31.5%
👍
81
21.4%
🤩
11
2.91%
💯
7
1.85%
👌
3
0.794%
🤣
2
0.529%
😁
1
0.265%
🙏
1
0.265%
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 47 of the 47 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 378 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 47 most recent posts we hold, published 8 July 2026 to 6 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 11 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🎙 Новый выпуск подкаста МАБЛ уже на канале!
Как принимать сложные решения, когда вокруг неопределённость, привычные стратегии перестают работать, а цена ошибки становится всё выше?
Гость нового выпуска — Лиана Шакирова, эксперт по вопросам бизнеса и управления.
Вместе с Анной Малаевой, руководителем кафедры осознанного управления МАБЛ, обсудили, почему даже опытные руководители попадают в ловушки собственного мышл…
Сотрудники уходят не только из-за денег🤝
Можно регулярно пересматривать зарплаты, предлагать бонусы и улучшать условия. Но при этом продолжать терять сильных специалистов.
Почему?
Потому что людям важно не только сколько они зарабатывают, но и:
— слышат ли их мнение;
— доверяют ли им решения;
— есть ли возможности для роста;
— чувствуют ли они свою ценность для команды.
Удержание начинается не только с дополните…
Настроение руководителя — тоже инструмент управления🧠
Замечали, как меняется атмосфера в команде, когда руководитель раздражён, тревожен или постоянно торопится?
Люди начинают осторожнее высказываться, реже предлагать идеи и чаще ждать указаний.
А теперь представьте обратную ситуацию: руководитель умеет управлять своими эмоциями, слышит сотрудников и создаёт пространство для самостоятельных решений.
Это и есть од…
Почему после обучения в бизнесе ничего не меняется? 🎓
Руководитель прошёл курс, получил сертификат, вдохновился новыми идеями. А через неделю вернулся к привычным процессам.
Знакомая ситуация?
Проблема часто не в качестве обучения, а в том, что новые знания так и не становятся действиями.
В МАБЛ мы смотрим на образование иначе.
Наш подход — это практический опыт действующих управленцев, реальные бизнес-задачи и …
Как построить пищевое производство, которое не просто выпускает продукт, а действительно зарабатывает?
Какую концепцию выбрать? Где автоматизация действительно необходима? Как подобрать оборудование, контролировать фудкост и подготовить производство к масштабированию?
11–12 ноября МАБЛ проведёт круглый стол «Идея, стратегия и концепция современного пищевого производства».
Это два дня открытого профессионального ди…
🎙Новый выпуск подкаста МАБЛ уже вышел!
🎙 Наши спикеры:
- Анна Малаева — Руководитель кафедры осознанного управления МАБЛ, руководитель центра развития лидеров компаний Нефтьмагистраль и Братья Караваевы.
- Любовь Соболева — Предприниматель и ментор креативных бизнесов.15+ лет опыт: была лидером коммерции в habr.com, главой SMM Mail.Ru Group, лидером PR Ostrovok.
Обсудили, почему микроменеджмент убивает инициативу, …
Делегировать задачу или доверить решение? 🤔
Передать сотруднику конкретную задачу — одно дело.
А позволить ему самостоятельно выбрать способ её выполнения, принять решение и нести ответственность за результат — совсем другое.
Именно на этом этапе у многих руководителей возникают сложности.
Давайте проверим 👇
Провели интенсив «Выход из коробки. Гибкость мышления лидера». Своё мышление на нём прокачивали гости Академии МАБЛ.
💡 Дашборд для поваров, недели традиционной кухни, календарь маркетинговых активностей, умное видеонаблюдение, мерч, связанный дагестанскими бабушками, внутренние амбассадоры бренда — эти и другие идеи родились прямо во время работы.
Участники разбирали ограничивающие убеждения, учились смотреть на пр…
Как понять, что руководитель стал узким горлышком компании?
Парадокс: чем больше руководитель старается всё контролировать, тем медленнее иногда работает его команда.
Представьте ситуацию.
Компания растёт. Сотрудников становится больше, задач тоже. Но практически каждое решение по-прежнему проходит через одного человека.
Согласовать закупку? К руководителю.
Решить конфликт? К руководителю.
Изменить процесс? Снова…
Почему стоит рассмотреть международную стажировку? 🌍
Иногда лучший способ найти новые решения для своего бизнеса — увидеть, как работают другие.
Международные стажировки — это возможность выйти за рамки привычного опыта, познакомиться с другими подходами к управлению и посмотреть на лучшие мировые бизнес-практики изнутри.
Что дают международные стажировки?
🌍 Новый взгляд на привычные процессы
Возможность увидеть,…
🔥4❤3👍2
Showing the 12 most recent of 47 posts we hold for @mablru. 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
@mablru 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
16 August 2026
Most recent edit
16 August 2026
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Дыхание стало поверхностным, участился пульс, напряжены плечи или челюсть67%
Хочется немедленно начать что-то делать, не разбираясь в причинах67%
Забираете работу у команды и начинаете делать все самостоятельно0%
Мысли становятся категоричными: «Все пропало», «Они ничего не понимают», «Так всегда»67%
Первый вопрос — «Кто виноват?», «Где сломался процесс?»33%
The shares total 234%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 47 most recent posts we hold, published 8 July 2026 to 6 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 1 registered channel — 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.
Declared links
2 URLs this entry has put in its own public description, shown exactly as written there. A declaration, not a verified association — we measured that the description contained this text, and nothing more. It is not a claim that this entry owns, runs or is connected to whatever the link resolves to; a description is text anyone controls, and anyone can put anyone else’s URL into it. How this is measured.
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“МАБЛ | Международная Академия Бизнес Лидерства” (@mablru), 10,196 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/mablru.
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.