Канал для кадровиков, бухгалтеров и всех, кто принимает иностранных граждан на работу или планирует их принимать без нарушений и штрафов
🗳Подписаться в MAX — https://max.ru/migration_expert
📱Подписаться на ВК — https://vk.com/rma_mig
Created
25 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
7 measurements spanning 6 days, net -11. 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 11,115–11,138 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 16:55
11,118
-2
11 Aug 2026, 20:22
11,120
-9
9 Aug 2026, 15:17
11,129
-3
8 Aug 2026, 16:05
11,132
-3
7 Aug 2026, 14:06
11,135
+6
6 Aug 2026, 12:41
11,129
no change
6 Aug 2026, 05:52
11,129
first reading
Engagement
30 posts held, back to 23 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 16 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
6.93%
avg views ÷ 11,118 subscribers
Avg views / post
770
30 posts measured
Reaction rate
1.45%
reactions ÷ views · ER floor
Posts in window
30
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. It is computed over the 29 of 30 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
30 (23 July 2026 – 12 August 2026)
Views total
23,098
Reactions total
330
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 04:23 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
≈1,180
Videos
≈350
Links
≈573
Lifetime counters from Telegram’s own channel header, read 13 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
4m 22s
Average length
1m 06s
Measured directly from 4 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
327 reactions across 28 posts, in 13 distinct kinds. The most used accounts for 37.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
122
37.3%
❤
107
32.7%
❤🔥
32
9.79%
👍
21
6.42%
🙏
19
5.81%
💯
6
1.83%
🐳
5
1.53%
😍
4
1.22%
🤩
4
1.22%
🥴
3
0.917%
👏
2
0.612%
👻
1
0.306%
🤝
1
0.306%
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 29 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 330reactions 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 23 July 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.
🤩🤩🤩🤩
А те, кто уже зарегистрировался на интенсив, начали получать свои подарки 😉🎁
В этот раз мы впервые подготовили для вас не один подарок за регистрацию, а целых ПЯТЬ! И получать их вы будете постепенно по мере приближения к интенсиву.
И первые два уже доступны:
🎁 Подарок № 1
Инструкция «Как проверить иностранного гражданина в РКЛ»
🎁 Подарок № 2
Видео-урок «Реестр контролируемых лиц: как не попасть в ситуацию, к…
Цифровой профиль иностранного гражданина — одна из самых громких тем этого лета. И мы продолжаем разбираться в ней со всех сторон🔥
Совсем недавно я говорила об этом в подкасте, 21–22 августа обязательно будем подробно разбирать на наших бесплатных вебинарах, а уже сегодня меня пригласили поговорить об этом ещё и на радио😁
Я недавно рассказывала вам, что меня всё чаще приглашают выступать и делиться своей экспертизо…
«Мы уже несколько лет так работаем, и никаких проблем не было» — одна из фраз, которая сейчас настораживает меня больше всего🫣
Потому что отсутствие проблем ещё не означает отсутствие ошибок.
Недавно на одной из консультаций мы разбирали ситуацию, которая очень хорошо это показывает.
Вроде бы всё работает.
Документы подаются.
Сотрудники трудоустроены.
Налоги платятся.
И можно ещё несколько лет работать точно так ж…
Записали для вас пошаговую видео инструкцию, как пройти регистрацию на интенсив, если вдруг у вас не получается открыть ссылку, непонятно куда и что нажимать, то посмотрите пожалуйста, команда подготовили видео для вас 😉
Вот это да! 😳🔥
Меньше чем за сутки на интенсив зарегистрировалось уже 409 человек!
Ну что… начинается новая игра 😎
Сможем в этот раз побить наш рекорд?😉
🎉 Вчера мы открыли регистрацию на бесплатный интенсив!
И многие из вас уже знают, какие у меня вебинары 😁
Да, без зазрения совести скажу: они действительно крутые! Потому что я сама кайфую от возможности делиться с вами тем, что знаю и использую в своей практике.
Именно поэтому такие большие бесплатные вебинары я провожу всего два раза в год. Мы с командой вкладываемся в них не на 100%, а на все 1000% ❤️🔥
И для м…
🎙 Наконец-то могу поделиться с вами подкастом, который мне самой очень понравился 😁
Недавно меня пригласили в Qugo на подкаст «Занятые люди» поговорить о миграционном законодательстве и работе с иностранными гражданами.
И я вообще кайфую от того, что меня всё чаще приглашают на такие разговоры💙 Значит, тема миграционного законодательства становится заметнее и всё больше работодателей понимают, насколько важно в ней…
🎉 Открываю регистрацию на большой бесплатный двухдневный интенсив!
РАБОТА С ИНОСТРАННЫМИ ГРАЖДАНАМИ 2026-2027
«Как разобраться в актуальных изменениях и не допускать ошибок, которое могут привести к штрафам»
📅 21 и 22 августа в 13:00 МСК
Участие бесплатное.
Я провожу такие большие бесплатные вебинары всего два раза в год. И каждый раз мы с командой готовимся к ним практически два месяца.
Почему?
Потому что миграц…
🎬 Закулисье подготовки наших бесплатных вебинаров 😎
Когда вы приходите на вебинар, кажется, что это всего лишь два эфира по несколько часов. Но за ними стоят почти два месяца подготовки и работа целой команды 💙
Только за последние недели мы:
📌 провели десятки планёрок по подготовке вебинаров;
📌 3 больших созвона общей продолжительностью более 10-ти часов посвятили исключительно наполнению программы — обсуждали, как…
Showing the 12 most recent of 30 posts we hold for @migration_expert. 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 — 409,324 of 1,151,006entries 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.
Mentions
Named by 10 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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Ольга Вьюник/ все о трудовой миграции” (@migration_expert), 11,118 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/migration_expert.
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.