Иногда кажется, что образование меняется очень быстро. Но если заглянуть в историю, окажется, что многие современные подходы появились еще более двух тысяч лет назад. 📚 Как учились дети в Древней Греции? 🏛 С раннего возраста дети изучали музыку и занимались гимнастикой. Считалось, что образование должно развивать не только ум, но и тело. ✍️ Позже к обучению добавлялись чтение и письмо под руководством учителя-грам…

Channel
Образование и технологии
@EduBlog
On this record: Growth · Engagement · What this channel posts · Advertising · Posts · Citations · Cite this entry
1,552subscribers
-3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001116307582 |
|---|---|
| Type | Channel |
| Username | @EduBlog |
| Created | 12 February 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/EduBlog |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 11:23 | 1,552 | -1 |
| 9 Aug 2026, 12:51 | 1,553 | -1 |
| 6 Aug 2026, 16:01 | 1,554 | -1 |
| 6 Aug 2026, 07:34 | 1,555 | no change |
| 6 Aug 2026, 02:44 | 1,555 | first reading |
Engagement
20 posts held, back to 1 April 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.11%
- avg views ÷ 1,552 subscribers
- Avg views / post
- 48.2
- 10 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 10
- of 20 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.
| Window | Rolling 30 days · latest post in window 27 July 2026 |
|---|---|
| Posts held | 20 (1 April 2024 – 27 July 2026) |
| Views total | 482 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 18:07 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
- 34s
- Average length
- 34s
Measured directly from 1 video 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.
Advertising
- Ad load
- 5.00%
- 1 of 20 posts carry an ad marker
- Regulatory tokens
- 1
- posts carrying an erid · 1 distinct token
- Median views · ads
- 618
- over 1 measured post
- Median views · rest
- 78.0
- over 19 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 2VtzqxHD6SP | 1 | 7 August 2024 | 7 August 2024 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 20 most recent posts we hold, published 1 April 2024 to 27 July 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Недавно «Фоксфорд» выпустил ролик, где ученица домашней школы рассказывает, что благодаря такому формату у нее появилось больше времени на хобби и любимые занятия. И это, кажется, очень показательный сигнал. Еще несколько лет назад образовательные компании обещали: «Получите новую профессию.» «Увеличьте доход.» «Постройте карьеру.» Сегодня в школьном образовании все чаще звучит другое обещание: «Вернем ребенку…
ИИ становится одним из самых востребованных направлений дополнительного образования Программы обучения работе с искусственным интеллектом вошли в число самых популярных направлений профессионального и дополнительного образования в России. По данным аппарата вице-премьера Татьяны Голиковой, среди наиболее востребованных программ оказались: — «Специалист по работе с системами искусственного интеллекта»; — «Помощник по…
File, posted without a caption
Кто сейчас работает с ИИ в России В Высшей школе экономики проанализировали более 15 тыс. вакансий на hh.ru и сделали несколько интересных выводов о рыночных трендах. ☝️Большинство (80%) вакансий, в которых от кандидатов ждут ИИ-компетенций, запрашивают их на базовом уровне. Работодатели хотят, чтобы сотрудники умели пользоваться цифровыми инструментами, но не требуют от них уровня разработчиков ИИ-решений. ☝️Боле…
Не позволяйте ИИ воспитывать ваших детей Автор Джеки Мадер В новой книге «Воспитание человеком» профессор Чикагского университета Дана Сускинд утверждает, что в раннем детстве развитие ребенка должно основываться прежде всего на живом человеческом общении, а не на взаимодействии с ИИ. История с роботом Moxie, к которому дети сильно привязались, а затем тяжело переживали его отключение, иллюстрирует риски эмоциональ…
Создание обучающего ИИ: чему меня научили девять лет работы в Coursera о масштабировании обучающих систем Автор: Рохан Бенкар Опираясь на девятилетний опыт разработки обучающих систем в Coursera, Рохан утверждает, что образовательный ИИ требует совершенно иных инженерных принципов, чем потребительский ИИ. Главная причина — цена ошибки: неверная рекомендация в обучении может стоить человеку месяцев потерянного време…
📚 OECD: успех ребенка во взрослой жизни зависит не только от знаний Есть устойчивое мнение, что главная задача школы — дать знания. Но крупнейшее международное исследование OECD показывает более сложную картину. Оказывается, на будущую карьеру, уровень дохода, удовлетворенность работой и даже субъективное ощущение счастья влияют не только академические знания, но и социально-эмоциональные навыки. Например: ✔️ ум…
File, posted without a caption
«100балльный репетитор» и Mindscapes выяснили, какие инструменты школьники используют при подготовке к экзаменам и отличается ли поведение одиннадцатиклассников и девятиклассников. — 54% школьников считают свой уровень подготовки к ЕГЭ «средним». Учеников, которые характеризуют его как очень слабый — 8%, а тех, кто квалифицирует его как отличный — 0%. — 54% опрошенных родителей считают, что готовиться к ЕГЭ нужно на…
Курс «Маркетолог онлайн-школ» Вы узнаете: ▪️Введение в профессию — маркетолог онлайн-школ. Задачи и обязанности. ▪️Создание лендингов и наполнение сайтов контентом, который будет привлекать потенциальных клиентов. ▪️Анализ рынка. Разработка УТП и продающего оффера. ▪️Боли клиента и путь клиента. Создание воронки продаж. ▪️Монетизация знаний. Заработок на маркетинге в интернете. Подробнее
Курс «Профессия: 3d artist» Вы узнаете: ▪️Основы дизайна и анимации. Как создавать 3d в специализированных программах. ▪️Этапы разработки проектов. Практическая работа над персонажами и сценами. ▪️Специализация: 3d generalist. Рекламные ролики с применением трендовых и оригинальных идей. ▪️Углубленное изучение 3d в играх. Модели антуража и героев, адаптация под разное ПО. ▪️Houdini—приложение для кино и сложных прое…
Showing the 12 most recent of 20 posts we hold for @EduBlog. 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 — 1,065,881 of 1,160,990entries 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 2 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.
“Образование и технологии” (@EduBlog), 1,552 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/EduBlog.
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.