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 98% 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.
Growth
57 measurements spanning 92 days, net +74. 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 12,762–12,929 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)
Subscribers
Change
5 Nov 2026, 21:54
12,882
-5
4 Nov 2026, 20:28
12,887
-2
3 Nov 2026, 22:00
12,889
-1
2 Nov 2026, 20:20
12,890
-1
1 Nov 2026, 20:19
12,891
-1
31 Oct 2026, 19:29
12,892
-1
30 Oct 2026, 22:20
12,893
-1
30 Oct 2026, 00:00
12,894
-6
28 Oct 2026, 23:56
12,900
+2
27 Oct 2026, 23:39
12,898
-2
26 Oct 2026, 23:27
12,900
-2
25 Oct 2026, 21:56
12,902
-1
25 Oct 2026, 01:30
12,903
-3
24 Oct 2026, 02:40
12,906
-2
23 Oct 2026, 03:00
12,908
+2
22 Oct 2026, 00:46
12,906
-4
20 Oct 2026, 18:39
12,910
+5
19 Oct 2026, 18:18
12,905
+2
18 Oct 2026, 14:37
12,903
+12
17 Oct 2026, 17:47
12,891
first reading
Engagement
56 posts held, back to 29 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 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.95%
avg views ÷ 12,882 subscribers
Avg views / post
895
5 posts measured
Reaction rate
2.97%
reactions ÷ views · ER floor
Posts in window
6
of 56 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 October 2026
Posts held
56 (29 June 2026 – 29 October 2026)
Views total
4,474
Reactions total
133
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 18:46 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
2m 19s
Average length
1m 10s
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
1,029 reactions across 53 posts, in 20 distinct kinds. The most used accounts for 35.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
366
35.6%
❤
237
23.0%
❤🔥
233
22.6%
💯
44
4.28%
👍
24
2.33%
🤝
24
2.33%
👏
23
2.24%
🤣
16
1.55%
🙈
15
1.46%
😁
12
1.17%
🎉
9
0.875%
⚡
6
0.583%
🥰
5
0.486%
👀
3
0.292%
🤗
3
0.292%
🤩
3
0.292%
✍
2
0.194%
👌
2
0.194%
😍
1
0.097%
🙏
1
0.097%
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 54 of the 56 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 1,040 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 56 most recent posts we hold, published 29 June 2026 to 29 October 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: 2 of 6 posts held from the last 30 days (33.3%) 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).
Сколько стоит кадровая ошибка? 💸
Соскучились по бесплатным полезным эфирам? 😁
Значит, скоро увидимся!! 🔥
#главкадр_выступает
Штрафы, проигранные трудовые споры, ответственность руководителей.
О нарушениях в кадровых процессах обычно узнают во время проверки или спора с работником, когда исправлять уже поздно 🫠
⭐ 11 ноября выступаю на бесплатном вебинаре от Астрала:
«Цена кадровой ошибки: что выявит аудит и как …
То чувство, когда ничего продавать не надо, но #главкадр_отзывы_обучение - в наличии 😀
Персональные данные - сложная для многих тема.
Но не дадут соврать мои впускники - стоит только раз разобраться!)
Давайте так.
Кому в Новом 2027-м году хочется разобраться с темой - проверют свои подписки в одном из вариантов и следят за новостями-анонсами.
Кто хочет разобраться в базе по кадрам - оставляет контакты в предзапис…
Даже самых мощных людей обстоятельства могут выбивать из колеи.
Заранее заготовленные посты закончились, и здесь должны были быть отчёты о конференциях, на которых #главкадр_выступает
А точнее, уже выступил неделю назад.
И перваЯ из них была конференция по воинскому учёту, где во втором зале был минимум людей. Такое распределение – прямая иллюстрация что такое « целевая аудитория» и её фокус внимания))
Но те, кто…
С Днём кадровика! Подарок, который поможет в работе 💙
А вот и сам файлик)))
(описание выше)
======
📎Базовый кадровый интенсив (предзапись!)
✨ КАДРОЛОГИЯ (предзапись!)
======
💙 Канал во вКонтакте https://vk.com/im/channels/-236733837
💙 4 урока по базовой кадровой безопасности доступны вКонтакте
📲 Канал в Макс https://max.ru/glavkadry
📧Старый-добрый имейл: подписаться
С Днём кадровика! Подарок, который поможет в работе 💙
Дорогие мои читатели, раз вы здесь, то тема кадров вам близка!
Всех причастных поздравляю с профессиональным праздником!
Кадровая работа — одна из самых трудозатратных (и увы, часто недооценённых).
Кроме нас нашу работу часто никто и не видит (но наша задача - показывать!!)
Если вы совмещаете кадры еще с чем-то — вам сегодня отдельное поздравление и двойная по…
Куча справочников по должностям, куда что прислонять?
Психанула
Сделала в конспекте для этого потока Кадрологии в теме про должностные инструкции вот такую табличку конце.
Ибо...Особенно новичкам разобраться - прям наморщить мозг 🙊
#главкадр_ди - публикации по теме должностных.
На Кадрологию набора уже нет
⚡️Программа, отзывы и предзапись на следующий поток для лучшей цены на сайте: 👉 www.kadrologia.ru
========…
⭐️Личная встреча в октябре!) Кто в деле?))
Как обычно не забываю напомнить вам, где #главкадр_выступает
ИТАК!
✔️Москва
✔️17.10.2026
✔️Конференция «Кадровый фокус»!
Я снова пойду вещать про простые варианты эффективного внедрения ИИ в рутину каждого кадровика, бухгалтера или специалиста по миг.учету.
✔️Один из частых запросов мне - "дайте рабочий шаблон ПВТР"
🤓Но я же всегда говорю - к шаблону нужно приложить спер…
"Суд решил" — ещё не значит, что теперь "так можно всем"
(продолжение)
⚠️Но и сама судебная практика бывает разной по своему весу.
✔️Одно решение районного суда — это прежде всего пример того, как разрешили конкретное дело.
Если мы видим много аналогичных решений — уже можно говорить о складывающемся подходе.
✔️А ещё есть Верховный Суд: его постановления Пленума, обзоры судебной практики, правовые позиции по конкр…
"Суд решил" — ещё не значит, что теперь "так можно всем"
На Кадрологии сейчас разбираем иерархию правового регулирования, и от студентов пришёл очень хороший вопрос:
Если судебное решение не является законом, можно ли на неё ссылаться, например, когда споришь с руководителем?
Можно. И нужно.
Но есть нюанс 🙂
Начнём с самого простого.
⚡️Если районный суд где-нибудь рассмотрел спор Иванова с ООО «Ромашка» и решил его…
Говорят, у женщин весь график жизни строится вокруг графика мойки головы 😂
После начала Кадрологии у меня на график мойки влияет и график онлайн-встреч 🤓😀
Сегодня как у Шарика "лохматость повысилась")) #КАДРОЛОГИЯ
Провели первую орг-встречу.
В этом потоке после старта НИКОГО не добираем, продажи закрыты. Теперь только предзапись на сайте на след.поток.
1️⃣Показывала, как устроены конспекты - чтобы убедить, что не …
Когда я уволилась из найма…. Боже мой, в декабре будет семь лет как…
Я испытала какой-то вакуум.
Весь мой путь с кровати до рабочего места составлял два шага. Когда я работала, кровать Манила меня сзади. Когда я отдыхала, компьютер манил меня с кровати.
Первые полгода была в панике – я никак не могла организовать свое рабочее время. Мне все время мешала немытая посуда, неразложеные вещи. В какой-то момент я подума…
❤🔥12🔥10💯9
Showing the 12 most recent of 56 posts we hold for @glavkadry. 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
@glavkadry 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
11 August 2026
Most recent edit
29 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 5 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.
Евгения Мемрук бухгалтер @biznesinalogi_tlg · 81,933 Telegram ranks this channel #12 of 94 here — alongside 93 others — read 18 August 2026
Ряховский: Налоги без фильтра @ryahovskiynalogii · 35,291 Telegram ranks this channel #14 of 91 here — alongside 90 others — read 2 September 2026
Бухэксперт @buhexpert8 · 75,334 Telegram ranks this channel #14 of 94 here — alongside 93 others — read 19 August 2026
Переводчик с бухгалтерского @accwhisper · 50,521 Telegram ranks this channel #15 of 96 here — alongside 95 others — read 25 August 2026
Канал "Учёт без забот" @uchetbezzabot_1c · 39,382 Telegram ranks this channel #21 of 92 here — alongside 91 others — read 30 August 2026
Бухгалтерский квартал @buhgalteriaLL · 22,258 Telegram ranks this channel #33 of 94 here — alongside 93 others — read 20 September 2026
1С для бухгалтера ❤️ @buhi1c · 37,826 Telegram ranks this channel #37 of 89 here — alongside 88 others — read 31 August 2026
Нетипичный бухгалтер 🥇 @netipichniy_buh · 77,976 Telegram ranks this channel #41 of 94 here — alongside 93 others — read 19 August 2026
Оксана Каверина | бухгалтерия, налоги и финансы @upb_nalogi · 36,900 Telegram ranks this channel #43 of 92 here — alongside 91 others — read 1 September 2026
Рабочие лайфхаки: секреты и советы @lifehackoftheday · 25,861 Telegram ranks this channel #54 of 97 here — alongside 96 others — read 13 September 2026
Бухгалтерский юмор 🤪 @buhast · 31,072 Telegram ranks this channel #59 of 82 here — alongside 81 others — read 6 September 2026
ФНС России @nalog_gov_ru · 89,502 Telegram ranks this channel #59 of 96 here — alongside 95 others — read 17 August 2026
Бухучет и налоги от «Клерк.Ру» @klerkonline · 20,474 Telegram ranks this channel #76 of 95 here — alongside 94 others — read 27 September 2026
Зайдите в кадры! @kadrovoedelojournal · 30,654 Telegram ranks this channel #77 of 100 here — alongside 99 others — read 6 September 2026
Типичный Бухгалтер @typical_buh · 19,875 Telegram ranks this channel #78 of 98 here — alongside 97 others — read 29 September 2026
Светлана Беляева | АФиНА @taxrisk · 25,261 Telegram ranks this channel #84 of 95 here — alongside 94 others — read 14 September 2026
This channel appears in 16 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Главкадр вещает 🤓 трудовое право, 👩🎓 обучение” (@glavkadry), 12,882 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/glavkadry.
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.