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Channel

Санэпидконтроль. Охрана труда

@profiz_sec

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,013subscribers

-8 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001264150357
TypeChannel
Username@profiz_sec
Created5 November 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded8 August 2026
Last confirmed live24 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 24 August 2026
On Telegramt.me/profiz_sec

Growth

1,0131,0211,0177 August 2026 — 1,021 subscribers8 August 2026 — 1,021 subscribers11 August 2026 — 1,020 subscribers15 August 2026 — 1,019 subscribers18 August 2026 — 1,018 subscribers20 August 2026 — 1,015 subscribers24 August 2026 — 1,013 subscribers7 August 202624 August 2026
7 measurements spanning 17 days, net -8. 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 1,012–1,022 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Aug 2026, 09:321,013-2
20 Aug 2026, 22:181,015-3
18 Aug 2026, 04:321,018-1
15 Aug 2026, 01:261,019-1
11 Aug 2026, 13:371,020-1
8 Aug 2026, 00:311,021no change
7 Aug 2026, 15:371,021first reading

Engagement

19 posts held, back to 30 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.46%
avg views ÷ 1,013 subscribers
Avg views / post
65.5
19 posts measured
Reaction rate
1.16%
reactions ÷ views · ER floor
Posts in window
19
of 19 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 9 of 19 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held19 (30 July 20267 August 2026)
Views total1,244
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 00:31 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.

Reaction mix

9 reactions across 9 posts, in 3 distinct kinds. The most used accounts for 77.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍777.8%
111.1%
💯111.1%

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 9 of the 19 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 30 July 2026 to 7 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.

Recent posts

7 Aug 2026, 09:59 UTC37 viewsread 8 August 2026
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📝 Личная медицинская книжка у лиц, имеющих контакт с пищевыми продуктами

7 Aug 2026, 07:59 UTC38 viewsread 8 August 2026
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📍 Мы обновили бесплатный ознакомительный номер журнала «Санэпидконтроль. Охрана труда»! В этом номере — курс «молодого бойца» и статья из серии, посвященной выстраиванию СУОТ, всё о новшествах в проведении проверок Роспотребнадзором и в выдаче санитарных заключений, алгоритм действий на случай, если работник не прошел обучение по охране труда, рекомендации по определению холодного периода года для выдачи зимней спец

6 Aug 2026, 12:00 UTC48 viewsread 8 August 2026
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‼️ Роспотребнадзор предупреждает о фейковых уведомлениях о проверках‼️ Ведомство фиксирует массовую рассылку ложных писем о внеплановых проверках по Федеральному закону № 294-ФЗ с требованием оплаты по ссылке или QR-коду. Это мошенничество. Настоящие уведомления: – направляются в рамках Федерального закона № 248-ФЗ; – размещаются в личном кабинете ЕПГУ и дублируются на электронную почту; – содержат уникальный номер

6 Aug 2026, 10:04 UTC42 viewsread 8 August 2026
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📎 В условиях регулярного поступления оповещений о беспилотной опасности работодателям необходимо определить, требуется ли пересматривать карты профессиональных рисков и включать в них риск повреждения здоровья работников вследствие падения БПЛА. Согласно разъяснениям Роструда профессиональный риск представляет собой вероятность причинения вреда жизни и (или) здоровью работника в результате воздействия вредного и (ил

6 Aug 2026, 07:59 UTC44 viewsread 8 August 2026
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‼️ Подписка на «Санэпидконтроль. Охрана труда» на 2027 год: 2 года по цене 1 года + бонусы‼️ Добрый день! Мы знаем, как важно для специалистов по охране труда и санэпидбезопасности держать руку на пульсе: правильно трактовать новые нормы, быстро найти нужный документ, не пропустить сроки отчетности и вовремя получить экспертную оценку спорной ситуации. Поэтому в подписной кампании на 2027 год мы сделали предложение

5 Aug 2026, 09:59 UTC52 viewsread 8 August 2026
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🔍 В конце сентября вступят в силу санитарные МУ о профилактике стрептококковой, группы А, инфекции (СГА, СГА-инфекция) (Методические указания МУ 3.1.4215-25). Подробнее

5 Aug 2026, 07:59 UTC59 viewsread 8 August 2026
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🎙 СУОТ. Реагирование на несчастные случаи, профзаболевания и аварии Программа вебинара: ✅ Место процедур реагирования в структуре СУОТ. ✅ Отличие реактивного управления (когда уже случилось) от проактивного (оценка рисков). ✅ Порядок реагирования на несчастные случаи (НС). ✅ Порядок реагирования при выявлении профзаболевания. ✅ Порядок реагирования на техногенные аварии. ✅ Корректирующие действия и профилактика. ✅

4 Aug 2026, 12:18 UTC62 viewsread 8 August 2026
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📎 Гражданам пояснили, как получить соответствующий документ через ЕПГУ. Подробную инструкцию подготовили в СФР. В Фонде напомнили, что электронная трудовая книжка является форматом привычного документа, выписка из нее содержит данные о трудовой деятельности. Она формируется онлайн на портале госуслуг. Подробнее

4 Aug 2026, 09:59 UTC61 viewsread 8 August 2026
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🔍 Как хранить СИЗ на складе? Места хранения СИЗ должны обеспечивать: защиту от атмосферных осадков; отсутствие прямого солнечного света; защиту от воздействия агрессивных химических веществ; соблюдение температурного режима, указанного производителем; нормативную влажность воздуха. Неправильное хранение уничтожает СИЗ быстрее активной эксплуатации. Архитектурно-планировочные и санитарно-эпидемиологические требования

4 Aug 2026, 08:12 UTC93 views1 reactionsread 8 August 2026
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📎 С 1 сентября 2026 г. вводятся новые правила лицензирования деятельности по сбору, транспортированию, обработке, утилизации, обезвреживанию, размещению отходов I-IV классов опасности, осуществляемой юридическими лицами и индивидуальными предпринимателями. Они заменят положение 2020 г. (Постановление Правительства РФ от 02.06.2026 № 675). Подробнее

1

3 Aug 2026, 14:35 UTC69 views1 reactionsread 8 August 2026

📌Зачем врачу-рентгенологу МРТ выдавать фартук и перчатки? Зачем врачу-рентгенологу МРТ, который сидит в кабинете (некоторые вообще удаленно у нас работают), фартук и перчатки? Они работают на компьютере. Читать ответ на вопрос

👍1

Showing the 12 most recent of 19 posts we hold for @profiz_sec. 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 — 733,133 of 1,603,376entries 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.

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 24 August 2026 — this entry's latest reading, not the date you are reading this.

“Санэпидконтроль. Охрана труда” (@profiz_sec), 1,013 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/profiz_sec.

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.