Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 48% 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.
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.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (1 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 21 comparable posts for this entry, running 28 June 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @trudmif — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
3 measurements spanning 4 days, net -6. 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 5,223–5,231 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 02:11
5,224
-5
6 Aug 2026, 23:38
5,229
-1
6 Aug 2026, 05:52
5,230
first reading
Engagement
23 posts held, back to 28 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 8 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
12.1%
avg views ÷ 5,224 subscribers
Avg views / post
630
15 posts measured
Reaction rate
0.764%
reactions ÷ views · ER floor
Posts in window
15
of 23 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 14 of 15 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 11 August 2026
Posts held
23 (28 June 2026 – 11 August 2026)
Views total
9,453
Reactions total
71
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 04:35 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
29
Links
322
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. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
108 reactions across 21 posts, in 5 distinct kinds. The most used accounts for 71.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
77
71.3%
🔥
22
20.4%
❤
7
6.48%
👏
1
0.926%
🙏
1
0.926%
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 22 of the 23 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 113reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 28 June 2026 to 11 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.
⚡Изменения по иностранцам.
В последние годы происходят постоянно.
Успевай только отслеживать.
📝 Принят ещё один Федеральный закон от 26.07.2026 № 241-ФЗ
'О внесении изменений в Федеральный закон "О правовом положении иностранных граждан в Российской Федерации"
Изменений для изучения достаточно.
▶️ Одно изменение уже вступило в силу.
С 10 августа начал работу сервис по автономному принятию МВД решений о признании…
✔️ Рубрика "КАК ПРАВИЛЬНО?"
Когда работодатель вправе уволить сотрудника за прогул?
Чтобы сотрудник не мог оспорить прогул, работодатель должен одновременно соблюсти следующие условия:
▫️причины отсутствия на рабочем месте должны быть уважительными;
▫️работодатель выполнил процедуру и запросил письменные объяснения причин отсутствия на рабочем месте;
▫️ работодатель выждал два рабочих дня по графику сотрудника дл…
🔎 МИФ или ПРАВДА
Если руководитель в соответствии с трудовой функцией оказывает помощь новым сотрудникам, то ему можно не доплачивать за наставничество?
✅ Да
📎Если в трудовом договоре/должностной инструкции указано, что руководитель обучает вновь принятых сотрудников своего подразделения, то такую помощь он осуществляет в рамках установленной ему заработной платы, которая уже должна учитывать данный момент.
💚Если…
✔️ Рубрика "КАК ПРАВИЛЬНО?"
При принятии решения о невыплате или снижении премии в соответствии со статьей 135 Трудового кодекса РФ в связи с связи с применением к сотруднику дисциплинарного взыскания за совершение дисциплинарного проступка, нужно помнить, что 20% считают от заработной платы, а не от премиальной выплаты.
Снизить саму премию можно и более чем на 20%, если месячный заработок от этого не уменьшится бо…
📍Иностранные сотрудники: мифы vs реальность
Работа с иностранцами — это всегда зона повышенного внимания так как миграционное законодательство постоянно изменяется.
Однако фраза "Работать с иностранцами страшно" - это МИФ.
Знания избавляют от любых страхов и повышают Ваш профессионализм перед работодателями, а соответственно и уровень Вашего дохода.
Именно потому я решила разложить вам эту тему в большом практиче…
🔎 МИФ или ПРАВДА
🖍 Сотрудница с детьми до 14 лет решила перейти на неполное рабочее время. Может ли она диктовать работодателю режим работы?
❌Нет.
📎Она может просить об определенном количестве рабочих часов.
Пожелания сотрудника по режиму могут учитываться.
Но окончательно распределить часы: дни недели, время начала и завершения, время перерыва, работодатель вправе исходя из производственного процесса в организ…
🔎 МИФ или ПРАВДА
🖍 Сотруднику обязательно нужно оформлять командировочное удостоверение.
❌✅ И нет и да.
📎Законом требование составлять служебное задание, оформлять командировочное удостоверение и представлять отчет о выполненном в командировке поручении не установлено.
Оформление указанных выше документов, а также их формы и порядок составления работодатель вправе предусмотреть в своем локальном нормативном акте,…
✔️ Рубрика "КАК ПРАВИЛЬНО?"
В какие сроки знакомить с графиками работы?
💚За 1 месяц, по общему правилу, знакомят сотрудников со сменным графиком работы (в соответствии с частью 4 статьи 103 ТК РФ).
💚За срок, установленный в локальном нормативном акте компании, если в компании графики работы (например, можно установить срок за неделю до введения графика работы).
📍А теперь отличия так как их иногда путают
▶ Сменны…
🔎 МИФ или ПРАВДА
🖍 На днях один работодатель заявил мне, что срок хранения графика отпусков 1 год.
❌ Это заблуждение, которое грозит штрафом.
📎Срок хранения документа графика отпусков — 3 года.
Срок хранения исчисляется с
01 января года, следующего за годом окончания его делопроизводства.
График на 2023 год должен храниться по 31.12.2026 и только с 01 января 2027 его можно будет уничтожить.
Источник. Приказ Рос…
✔️ Рубрика "КАК ПРАВИЛЬНО?"
В компании появилась вакансия и объявление о ней опубликовали на работном сайте.
Куда обязательно нужно подать сведения?
Работодатель обязан проинформировать службу занятости о наличии:
▫️свободных рабочих мест и вакантных должностях в течение 5 рабочих дней со дня появления свободных рабочих мест и вакантных должностей.
▫️об изменении предоставленной ранее информации - в течение 5 рабо…
🔎 МИФ или ПРАВДА
🖍Можно ли отказать в приеме заявления на увольнение, представленного не по форме работодателя.
Во многих компаниях есть свои бланки, в том числе, заявлений об увольнении.
Однако собственно разработанные бланки не повод отказывать в приеме заявления, к примеру, если оно написано от руки.
Другой перекос со стороны работодателя - это требование писать заявление полностью от руки. Не принять напеча…
⚖️ Предлагаем вашему вниманию подборку ведущих кадровых каналов в Telegram и MAX
Если вы ищете, какие Telegram и MAX-каналы о трудовом праве и кадровом учете действительно стоит читать в 2026 году, вот практичная подборка без долгих вступлений. Мы собрали в одном посте каналы, которые помогут быть в курсе изменений трудового законодательства и решать рабочие задачи.
▫️Кадровику - Telegram | MAX
▫️Зайдите в кадры! -…
👍5
Showing the 12 most recent of 23 posts we hold for @trudmif. 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 — 113,351 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.
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 6 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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“МИФЫ О ТРУДЕ” (@trudmif), 5,224 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/trudmif.
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.
