HR-канал (трудовое законодательство, разбор судебной практики)
Автор - ЕЛЕНА ШЕБАШОВА:
• HR - 25 лет
• Эксперт в области трудового законодательства
• Кадровый аудитор
• Преподаватель, бизнес-тренер
• Председатель Правления Самарского кадрового клуба
Created
Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
3 measurements spanning 4 days, net +19. 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 8,346–8,380 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 14:01
8,369
-7
8 Aug 2026, 07:31
8,376
+26
7 Aug 2026, 16:02
8,350
first reading
Engagement
44 posts held, back to 4 August 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 11 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
1.65%
avg views ÷ 8,369 subscribers
Avg views / post
138
44 posts measured
Reaction rate
4.13%
reactions ÷ views · ER floor
Posts in window
44
of 44 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. It is computed over the 43 of 44 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
44 (4 August 2026 – 12 August 2026)
Views total
6,090
Reactions total
247
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 16:28 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
Photos
≈2,800
Videos
≈395
Links
≈1,190
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1m 25s
Average length
28s
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
247 reactions across 43 posts, in 12 distinct kinds. The most used accounts for 26.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
66
26.7%
👍
57
23.1%
❤
44
17.8%
🤣
29
11.7%
😁
21
8.50%
💯
20
8.10%
⚡
4
1.62%
🙏
2
0.81%
✍
1
0.405%
👌
1
0.405%
🤔
1
0.405%
🥰
1
0.405%
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 43 of the 44 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 247reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 4 August 2026 to 12 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.
С понедельника иду учиться на авторский курс Вадима Заводюка
«БЛИЦ-ОЦЕНКА ПЕРСОНАЛА».
Знаю Вадима много лет. За плечами у него 25+ лет в HR, имеет высокую экспертизу в области оценки персонала и assessment руководителей. Кроме того, Вадим Заводюк - автор методологии оценки VIEWA, имеет сертификацию SHL и ЭКОПСИ.
Программа — 12 занятий по 1,5 часа.
Группа стартует 17.08.2026.
Все вопросы можно задать Вадиму в личк…
«Сейчас не время учиться, нам бы выжить»
— фразу, которую я всё чаще слышу от бизнеса в последние месяцы.
Но парадокс в том, что именно обучение сейчас помогает бизнесу не просто выживать, а адаптироваться и сохранять костяк команды.
21 августа на Фестивале образовательных решений я буду выступать с темой, которая сейчас болит у многих: как сохранить процессы обучения в условиях кризиса и урезанных бюджетов.
Что …
Для педагогов ввели новые гарантии. Что нужно знать HR в образовании
20 июля 2026 года Президент подписал Указ № 498 «О дополнительных мерах поддержки учителей». Документ закрепляет особый статус педагога и вводит ряд новых гарантий. Рассказываем, что изменится для образовательных организаций и их HR-служб.
Что меняется
🔹 Наставничество для начинающих — обязательно для педагогов, впервые приступающих к работе, сро…
Аудит персональных данных в компании. Как организовать, чтобы не было мучительно больно за каждый процесс
Если в вашей компании есть HR-процессы, то персональные данные сотрудников обрабатываются ежедневно. И рано или поздно возникает вопрос: «А всё ли у нас в порядке с точки зрения 152-ФЗ?». Простой ответ — провести аудит.
Этапы аудита
1. Сбор информации — интервью с владельцами процессов, запрос документов.
2. З…
Вместо штрафа — соглашение об устранении нарушений. Новый инструмент с 26 июля
С 26 июля 2026 года в КоАП РФ заработал механизм, который позволяет работодателю избежать административного штрафа, если он заключит с контрольным органом соглашение об устранении нарушений и добросовестно его исполнит (Федеральный закон от 26.07.2026 № 250-ФЗ).
Вместо денежного взыскания компания получает чёткий план исправления недочёт…
Отклик на job-сайте ≠ заявление о приёме на работу. Суды подтверждают
Вы нажали «Откликнуться», вас не пригласили, и вы решили, что это дискриминация? Суд скажет: нет.
Разберём реальную историю, которая прогремела недавно, и важный урок для HR и соискателей.
Суть истории
Соискатель увидел вакансию, откликнулся (без сопроводительного письма). Ему ответили, что рассмотрят. Он напомнил о себе, получил отказ: «мы не …
Поддельный диплом, который не требовался, стал причиной увольнения через 4 года. Суд подтвердил: законно.
При приеме на работу специалист по промбезопасности принес диплом о высшем образовании «на всякий случай». Хотя по его должности высшее образование не требовалось. Работодатель, как аккуратный человек, снял копию и положил в личное дело.
Прошло 4 года. Сотрудник попросил перевести его на должность заместителя д…
ROPA — реестр обработки персональных данных. Что это и зачем HR
Если вы работаете с персональными данными сотрудников (а вы работаете), то рано или поздно столкнётесь с понятием ROPA. Это не страшно, но важно.
Что такое ROPA?
ROPA (Record of Processing Activities) — это реестр процессов обработки персональных данных. Документ, в котором фиксируются все процессы: цели, перечни данных, категории субъектов, сроки хра…
Справка об инвалидности и ИПРА не дают права увольнять работника
Второй кассационный суд общей юрисдикции отменил решения нижестоящих инстанций и направил на новое рассмотрение дело об увольнении работника-инвалида по п. 8 ч. 1 ст. 77 ТК РФ.
Суть спора
Сотрудник представил работодателю справку об инвалидности I группы и индивидуальную программу реабилитации (ИПРА). Работодатель отстранил его, уведомил об отсутстви…
👍4❤2🔥2
Showing the 12 most recent of 44 posts we hold for @elena_shebashova. 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 — 469,274 of 1,183,361entries 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
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“Елена Шебашова | ЗА КАДРОМ” (@elena_shebashova), 8,369 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/elena_shebashova.
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.