3 measurements spanning 3 days, net -5. 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 2,189–2,196 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 22:42
2,190
-5
7 Aug 2026, 16:32
2,195
no change
7 Aug 2026, 16:23
2,195
first reading
Engagement
10 posts held, back to 3 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
3.26%
avg views ÷ 2,190 subscribers
Avg views / post
71.4
10 posts measured
Reaction rate
8.26%
reactions ÷ views · ER floor
Posts in window
10
of 10 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 7 August 2026
Posts held
10 (3 August 2026 – 7 August 2026)
Views total
714
Reactions total
59
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 16:32 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
1m 51s
Average length
37s
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
59 reactions across 10 posts, in 6 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
❤
22
37.3%
👍
14
23.7%
👏
10
16.9%
🔥
10
16.9%
🤔
2
3.39%
⚡
1
1.69%
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 10 of the 10 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 59reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 3 August 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.
Как писатели видят карьерный путь своих героев? 📚
В художественных книгах нет готовых алгоритмов карьерного роста. Зато есть живые люди, которые ошибаются, выгорают, сомневаются. Профессиональный путь в этих историях — это не просто оттачивание навыков. Это постоянная внутренняя работа, сложные нравственные выборы и умение не опускать руки.
Собрали для вас 6 книг, в которых путь героя в профессии — главная сюжетная…
Если задача кажется слишком простой, присмотритесь внимательнее 🤔
Возможно, вы закладываете на нее меньше времени, чем стоит. Подготовили 5 простых советов о том, как правильно оценить сложность работы и грамотно распределить свой ресурс ⏬
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✔Добавьте еще +20% к итогу, чтобы был зап…
Заглянем в мастерскую станков с программным управлением "Профессионала"⚡️
Слушатели программы "Оператор станков с ЧПУ" за шесть с половиной недель осваивают оборудование, на котором сегодня строится большая часть промышленности — работают на фрезерных и лазерных станках.
Каждый осваивает ⏬
✔Устройство станков
✔Чтение чертежей
✔Программирование G-кодов
✔Работу в САМ-системах
Обзор мастерской смотрите в видео ✨
Под…
Правильный ответ: тракторист 👏
Освоить эту профессию можно на нашем тренировочном полигоне за 5 недель.В программе ⏬
✔Устройство и принцип работы трактора
✔Правила работы с грузами и прицепными устройствами
✔Техническое обслуживание и устранение неисправностей
✔ПДД
✔Управление трактором
Подать заявку на обучение можно в центрах "Профессии будущего"📚
Минуточку внимания 🔥
На карточке спрятали профессию, которую можно освоить в нашем центре. Найдите инструменты и предметы, которые связаны с работой этого специалиста. Отмечайте реакцией правильный ответ ⏬
❤️ - бариста
👍 - сантехник
👏 - тракторист
🤔 - токарь
В столярном деле профессионализм – попасть тютелькой в тютельку 👍
Раньше "тютелькой" называли точный удар топором в одно и то же место. А двойной удар превратился в устойчивое выражение "тютелька в тютельку", которое означает высочайшую точность исполнения.
Если все замеры сошлись тютелька в тютельку, столяр по праву может считать себя мастером ✨
#ПРОФсленг
В детстве мечтали управлять стихией? Освоив профессию монтажника систем кондиционирования, подчините себе самую капризную – стихию воздуха 🌪
Плохая вентиляция приводит к постоянному дискомфорту. Особенно важны качественные системы на производстве, в медицинских учреждениях и в местах проведения крупных мероприятий. Научиться монтировать надежные вентиляционные системы можно в "Профессионале" 💫
После обучения сможет…
Вам легко работать как с людьми, так и с документами? Тогда эти вакансии для вас ⏬
Изучайте подборку вакансий от наших партнеров – они ищут специалистов в административной и финансовой сферах.
Каждая вакансия проверена экспертами "Профессионала".
✔Специалист по кадровому делопроизводству
з/п: до 110 000 ₽
Работодатель: ООО Предприятие "АЛИДИ"
✔Менеджер по продажам
з/п: от 100 000 ₽
Работодатель: ООО "ПК Лайф-Элект…
От вождения мотоциклов к сварке: история выбора профессии ⚡️
Таисия давно увлекается мотоциклами — сама водит, болеет за участников мотоджимханы и мечтает найти работу, связанную с этой техникой. Около года она занималась кастомизацией мотоциклов. Сейчас хочет научиться чинить технику или создавать запчасти для нее.
Для этого она решила освоить сварку и обратилась в службу занятости населения. Консультант направил …
5⃣ лет добрых дел!
❤️ Первый в России социальный маркетплейс «Москва — добрый город» отмечает юбилей. За эти годы он стал важной опорой для мастеров с особенностями здоровья и некоммерческих организаций, помогая им творить, развиваться и зарабатывать.
«Сегодня в проекте участвуют свыше двух тысяч мастеров — это в десять раз больше, чем на старте. Ассортимент вырос на 12% за год и насчитывает свыше 1,9 тысячи наимен…
❤4🔥2👍1👏1
Showing the 10 most recent of 10 posts we hold for @eduprof_mos. 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 — 982,186 of 1,169,250entries 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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Моя профессия” (@eduprof_mos), 2,190 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/eduprof_mos.
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.