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Channel

Netflix в сфере образования

@edunetflix

On this record: Growth · Engagement · Reactions · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

7,664subscribers

-21 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001104011392
TypeChannel
Username@edunetflix
Created1 May 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live27 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 27 August 2026
On Telegramt.me/edunetflix

Growth

7,6617,6857,6736 August 2026 — 7,685 subscribers6 August 2026 — 7,685 subscribers9 August 2026 — 7,681 subscribers12 August 2026 — 7,669 subscribers15 August 2026 — 7,663 subscribers17 August 2026 — 7,661 subscribers20 August 2026 — 7,667 subscribers24 August 2026 — 7,663 subscribers27 August 2026 — 7,664 subscribers7,6646 August 202627 August 2026
9 measurements spanning 21 days, net -21. 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 7,657–7,689 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Aug 2026, 03:567,664+1
24 Aug 2026, 13:427,663-4
20 Aug 2026, 17:127,667+6
17 Aug 2026, 20:177,661-2
15 Aug 2026, 03:147,663-6
12 Aug 2026, 05:557,669-12
9 Aug 2026, 00:557,681-4
6 Aug 2026, 03:067,685no change
6 Aug 2026, 01:127,685first reading

Engagement

14 posts held, back to 20 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.20%
avg views ÷ 7,664 subscribers
Avg views / post
628
10 posts measured
Reaction rate
1.43%
reactions ÷ views · ER floor
Posts in window
10
of 14 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
WindowRolling 30 days · latest post in window 21 August 2026
Posts held14 (20 July 202621 August 2026)
Views total6,281
Reactions total90
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Aug 2026, 04:53 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

142 reactions across 14 posts, in 6 distinct kinds. The most used accounts for 33.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4733.1%
🔥4028.2%
2920.4%
🤔2014.1%
👎53.52%
😢10.704%

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 14 of the 14 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 142reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 20 July 2026 to 21 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.

Advertising

Ad load
21.4%
3 of 14 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
754
over 3 measured posts
Median views · rest
690
over 11 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.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqwiNHY7114 August 202614 August 2026
2W5zFGUf4Gq123 July 202623 July 2026
2W5zFHum56q130 July 202630 July 2026

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 14 most recent posts we hold, published 20 July 2026 to 21 August 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

21 Aug 2026, 06:09 UTC308 views3 reactionsread 25 August 2026
Photo

3000+ учебных центров используют CRM «Мой Класс» — и вот в чём тут дело У любого образовательного бизнеса есть два состояния: то, что видно, и то, что происходит на самом деле. Разрыв между «видно» и «на самом деле» особенно заметен осенью, когда продажи выходят из летней спячки. Причём это касается не только детского EdTech — ДПО, языковые школы и SaaS-продукты Симптомы: заявки идут из десятка каналов одновременно

👍2🔥1

19 Aug 2026, 11:26 UTC392 views9 reactionsread 25 August 2026

Прошло больше полугода 2026-го — самое время свериться с прогнозами EdTech В начале года РБК Тренды вместе с GetCourse выкатили разбор, каким будет EdTech в 2026-м. Сейчас, когда больше полгода позади, любопытно посмотреть — что из предсказанного действительно случилось. И порассуждать 1️⃣ Покупательная способность правда просела Это не абстрактный тезис из статьи, а уже наблюдаемый факт: люди реже готовы разом отд

🔥7👍2

17 Aug 2026, 11:37 UTC474 views13 reactionsread 25 August 2026

Первый раз участвовал в дебатах — вау! Обсуждали геймификацию. Когда ты в материале, ты понимаешь неоднозначность темы. И потому так интересно оказаться в роли, которая транслирует только аргументы «за» и должна отвечать на все аргументы «против». Тем более, до начала самих дебатов доводы оппонента я не знал Мой оппонент — Евгений Клещ, руководитель отдела по работе с партнёрами «Мастерской новых медиа». После съём

🔥9👍4

14 Aug 2026, 11:07 UTC623 views2 reactionsread 25 August 2026
Advertisementerid 2VtzqwiNHY7Photo

Образование меняется — можно ли работать как прежде? Бесплатный гайд для методистов, кураторов и педагогов о том, куда расти дальше За последние 4 года в образовании стало очевидно: просто хорошо делать контент недостаточно. И начинающие методисты, кураторы, педагоги и авторы программ всё чаще упираются в ощущение профессионального тупика. Причём, не только начинающие ИИ, новые форматы, запрос на индивидуальные тра

👍1🔥1

11 Aug 2026, 05:55 UTC729 views23 reactionsread 25 August 2026

50% преподавателей Skyeng подключили чаевые от учеников Сервис Нетмонет — до этого работавший с чаевыми в HoReCa — запустил в онлайн-школе Skyeng функцию благодарности учителям деньгами (ссылка). Ученик в личном кабинете может оставить чаевые и увидеть, на какую цель копит конкретный преподаватель. Больше половины педагогов Skyeng уже подключили опцию Я, если честно, споткнулся об эту новость дважды Сначала обрадов

🤔16👎42👍1

10 Aug 2026, 06:59 UTC836 views9 reactionsread 25 August 2026

7,4%: на сколько чаще покупают те, кто играет в приложении магазина X5 и «Магнит» отчитались (ссылка) о своих игровых механиках в приложениях: пользователи, которые играют в мини-игры за бонусы и купоны, покупают в среднем на 7,4% чаще тех, кто в игры не играет. А по прогнозам ритейлеров, аудитория этих игровых модулей вырастет ещё на 40% к концу года / сохраняю в том числе для себя, когда надо резко вспомнить прим

👍7🤔2

6 Aug 2026, 06:29 UTC651 views2 reactionsread 25 August 2026

Ещё 5 прямых эфиров в Точка Банке Занимательная арифметика: между 1 и 10 эфиром — 4 месяца Первую пятёрку собирал в отдельном дайджесте — если пропустили, там тоже есть на что посмотреть Напомню: записи эфиров, презентации и другие материалы от спикеров — всё это доступно по ссылкам бесплатно (но с регистрацией) 6️⃣ Бизнес в 2026: как перестать терять до 20% выручки О чём: как QR-сервисы — меню, оплата, обратная с

👍1🔥1

4 Aug 2026, 08:51 UTC690 views12 reactionsread 25 August 2026

Компании переходят от экспериментов с ИИ к системной трансформации В Ведомостях по следам экспертной дискуссии «Люди, технологии и изменения в эпоху AI» вышла статья — итог обсуждения. Мой комментарий тоже засветился Григорий Волчков <...> отметил, что в эпоху ИИ можно выделить три ключевые компетенции: адаптивность, умение формулировать цели и способность проверять работу ИИ. «Нельзя просто делегировать умственную

👍9🔥3

31 Jul 2026, 11:10 UTC824 views11 reactionsread 25 August 2026
Photo

Фонд, который помогает молодым учителям войти в профессию Благотворительный фонд «Новый учитель» развивает программу привлечения талантливых учителей в школы. В этом году — в Нижегородской области А Т-Банк поддерживает с 1 июня по 31 июля удваивает все пожертвования своих клиентов на помощь фонду Если вы тоже хотите поддержать школьников и преданных делу учителей, переходите по ссылке

6🔥4👍1

30 Jul 2026, 12:38 UTC754 views6 reactionsread 25 August 2026
Advertisementerid 2W5zFHum56qPhoto

Как российскому EdTech выйти на ру-аудиторию TikTok за рубежом TikTok в России для рекламы закрыт. Но русскоязычная аудитория за границей активна и готова платить за обучение. Родители ищут занятия для детей на русском. Подростки — репетиторов и подготовку к экзаменам. Взрослые - языковые и профессиональные курсы Для образовательных проектов оптимальная посадка — пробный урок, консультация, тестирование или форма з

👍2🤔21🔥1

28 Jul 2026, 11:52 UTC692 views21 reactionsread 25 August 2026

Проектная vs Продуктовая команда Я поработал по несколько лет и в проектном бюро, и в продуктовых командах. И пришла мысль о ключевом, на мой взгляд, отличии. Особенно актуально кажется в контексте турбулентного времени В агентстве... Зачастую ты не знаешь наверняка, каким проектом будешь заниматься через несколько месяцев. А по нынешним временам — будут ли проекты вообще. Но пока у тебя есть проект, ты чётко знаеш

🔥116👍4

23 Jul 2026, 06:28 UTC834 views5 reactionsread 25 August 2026
Advertisementerid 2W5zFGUf4GqPhoto

Как ускорить разработку курсов в 3 раза? И в продолжение дискуссии об ИИ — это ускорение всего и вся. Начиная с скорости выхода на самоокупаемость новых бизнесов и заканчивая скоростью работы специалиста. И понимание, где надо включаться «мозгами» и вниманием, а какие задачи можно смело передавать нейросетям Мы выделили 3 ключевые черты (довольно ожидаемые) 1️⃣ Адаптивность — концепция LifeLong Learning теперь не о

👍21👎1🔥1

Showing the 12 most recent of 14 posts we hold for @edunetflix. 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 — 619,874 of 1,620,455entries 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 1 registered channel — 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Вакансии в образовании
@edujobs · 65,458
Telegram ranks this channel #8 of 99 here — alongside 98 others — read 21 August 2026
Вакансии для своих✨
@cozy_hr · 51,637
Telegram ranks this channel #16 of 100 here — alongside 99 others — read 25 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Netflix в сфере образования” (@edunetflix), 7,664 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/edunetflix.

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.