Other / unclassifiable — 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 45% 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
14 measurements spanning 43 days, net -73. 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 9,541–9,652 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 04:18
9,554
-4
14 Sept 2026, 03:17
9,558
-23
10 Sept 2026, 10:37
9,581
-35
5 Sept 2026, 05:16
9,616
+8
1 Sept 2026, 01:49
9,608
-8
28 Aug 2026, 23:14
9,616
-21
25 Aug 2026, 20:24
9,637
-2
22 Aug 2026, 23:17
9,639
+47
19 Aug 2026, 10:57
9,592
-14
16 Aug 2026, 07:04
9,606
-8
12 Aug 2026, 15:16
9,614
-16
9 Aug 2026, 16:23
9,630
-9
7 Aug 2026, 03:04
9,639
+12
6 Aug 2026, 04:21
9,627
first reading
Engagement
26 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 37 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 26 posts for this entry, the most recent from 28 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
237 reactions across 23 posts, in 6 distinct kinds. The most used accounts for 42.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
101
42.6%
👍
68
28.7%
❤
50
21.1%
❤🔥
11
4.64%
💯
5
2.11%
👌
2
0.844%
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 25 of the 26 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 253 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 8 July 2026 to 28 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
2
of 26 we hold a reading for · 8%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @PeopleManagementTech. 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 26 most recent posts we hold for this entry, published 8 July 2026 to 28 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.
Advertising
Ad load
19.2%
5 of 26 posts carry an ad marker
Regulatory tokens
5
posts carrying an erid · 5 distinct tokens
Median views · ads
455
over 5 measured posts
Median views · rest
487
over 21 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
2VSb5wdFSdg
1
18 August 2026
18 August 2026
2VSb5ySTCpr
1
28 July 2026
28 July 2026
2VSb5yx9yo8
1
4 August 2026
4 August 2026
2VSb5zBVsLE
1
11 August 2026
11 August 2026
2VtzqwdeLBj
1
8 July 2026
8 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.
Measured over the 26 most recent posts we hold, published 8 July 2026 to 28 August 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.
Когда новые сотрудники начинают стоить дешевле
После предыдущего поста на тему денег сотрудников легко сделать вывод: рынок теперь всегда будет заставлять компании переплачивать новичкам и экономить на имеющихся сотрудниках. Не совсем так. Ведь инверсия зарплат (так называется этот эффект) возникает только при определённом состоянии рынка труда.
Давайте поговорим с вами именно о цене найма/вознаграждении, а не о по…
Знаете, чем отличается кризисный менеджмент от нормальной жизни? В кризис многие тушат пожары, а антихрупкая компания перестраивается.
70% проблем с текучкой и медленными изменениями — из-за намертво склеенных ролей. Но эту ситуацию можно исправить, не ломая сложившуюся систему целиком.
27 августа в 19:00 приглашаем на онлайн-мастер-класс «LEGO-система как основа для быстрой перестройки» от «Земля Стратега» – конса…
Сильные сотрудники тоже становятся пассажирами
В предыдущем посте серии мы говорили о том, как компании сами выращивают пассивность. Теперь посмотрим весьма неприятный вариант: когда в пассажиров постепенно превращаются те, кто когда-то был сильным сотрудником.
Вы удивитесь, наверное, но это происходит чаще, чем хочется признавать. Как оно обычно происходит?
Однажды мы уже разбирали этот процесс: сильного человека…
Небольшое напоминание о том, что 9 сентября в Москве стартует «HR-СТРАТЕГИЯ 2027». Обсудим оптимизацию, производительность, ИИ и автоматизацию, развитие персонала и реальные кейсы HRD крупнейших компаний
Управление людьми дошло до ГОСТов
В поле зрения попали сразу три ГОСТа: Р ИСО 45001-2020, Р ИСО 45003-2026 и Р 72465-2025. Первые два относятся к охране труда и здоровья, а третий задаёт требования к качеству и эффективности работы ТОПов.
Пока эти стандарты добровольные, но я бы не рассчитывал, что так будет всегда.
Что в этих ГОСТах примечательно:
1️⃣ Качество управления связывают с качеством конкретных решений.…
🔼 Производство не ждёт: как выстроить обучение, которое работает быстро, эффективно и с результатом?
1-2 октября в Москве состоится VIII Всероссийский Форум директоров по обучению «ОБУЧЕНИЕ ПРОИЗВОДСТВЕННОГО ПЕРСОНАЛА 2026»
Что вас ждет?
⚪️ более 80 директоров по обучению персонала производственных компаний
⚪️ 4 дискуссии о развитии производственного персонала, наставничестве и применении ИИ в обучении
⚪️ Более 20 …
Программировать стало дёшево. Думать — пока нет
Недавно я писал про то, куда можно пускать ИИ, а куда пока рано. Продолжу конкретным примером.
Мы с партнёром делаем небольшой программный продукт, технологическую часть которого партнёр ведёт как CTO. Только привычной команды разработчиков у нас почти нет — вместо неё несколько ИИ-агентов на разных моделях.
Процесс разработки разложили на этапы. Одни агенты помогают…
Компании всегда так делали. Что изменилось?
Высокий результат никогда не давал пожизненной гарантии: бизнес закрывал направления, продавал активы и менял структуру задолго до наблюдаемых сейчас волн сокращений. Кто-то может начать рассказывать про новую реальность, но объявлять происходящее новой экономикой не вполне верно.
Необходимость расставлять приоритеты, давление ограниченных ресурсов и сложный выбор между а…
🚀 Как выйти на новый уровень в эпоху ИИ и оптимизации?
29-30 сентября в Москве состоится XV Всероссийский Форум по цифровизации корпоративного обучения «ЦИФРОВОЕ ОБУЧЕНИЕ 2026». Более 80 руководителей по дистанционному обучению встретятся, чтобы переосмыслить подходы к корпоративному обучению в условиях оптимизации бюджетов, высокой нагрузки на команды и стремительного развития технологий
В деловой программе:
➡️ 2 …
Компании сами выращивают пассивность
Недавно мы говорили о просиживателях штанов, которые хорошо маскируются под нормальный рабочий процесс. Теперь неприятный поворот: часть такого поведения появляется не из личной корысти или лени, а потому, что компания сама очень хорошо этому обучает. Не на курсах, а ежедневной практикой, и по сути, объясняет людям, как здесь безопаснее работать.
Как это обычно происходит?
Снач…
Куда можно пускать ИИ, а куда пока не надо
Gartner оценил влияние ИИ на 25 HR-процессов по трём параметрам: насколько он меняет процесс, улучшает решения и насколько зрелые решения уже есть на рынке. Хорошее сравнение, очень показательно и подтверждает уже мною сказанное.
Автоматизация с помощью ИИ следует за наведением порядка с процессами. Похожий вывод делает и Gartner: 72% HR-руководителей считают, что для полу…
❓ Как мотивировать и поддерживать вовлеченность сотрудников, когда реальность не оставляет запаса прочности?
10-11 сентября в Москве состоится XXII Всероссийский Саммит по мотивации персонала C&B Russia Summit 2026. Более 150 директоров по мотивации и директоров по персоналу встретятся, чтобы обсудить, как добиваться большей эффективности при меньших ресурсах, выстроив жизнеспособную стратегию мотивации в условиях 2…
👍4❤3🔥3
Showing the 12 most recent of 26 posts we hold for @PeopleManagementTech. 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
@PeopleManagementTech 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
9 August 2026
Most recent edit
18 August 2026
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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 8 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.
Про Проекты и карьеру в ИТ | Романова @proProject1 · 37,537 Telegram ranks this channel #23 of 97 here — alongside 96 others — read 1 September 2026
Диссертация | Наталья Киреева | О научных статьях и диссертациях @kireeva_science · 20,893 Telegram ranks this channel #29 of 96 here — alongside 95 others — read 25 September 2026
Про Управление @ProYpravlenca · 32,601 Telegram ranks this channel #32 of 99 here — alongside 98 others — read 6 September 2026
Эйчаргейт| Перезагрузка @hrgate · 57,023 Telegram ranks this channel #35 of 93 here — alongside 92 others — read 28 August 2026
Вакансии в Рязани @rabota_Ryazann · 38,856 Telegram ranks this channel #50 of 76 here — alongside 75 others — read 31 August 2026
Пригодится! 🍎 Библиотека для HR @savetoreadlater · 22,278 Telegram ranks this channel #69 of 100 here — alongside 99 others — read 21 September 2026
This channel appears in 6 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“People Management Tech” (@PeopleManagementTech), 9,554 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/PeopleManagementTech.
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.