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Channel

Академия Эдюсон (Eduson)

@edusondaily

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

20,313subscribers

-244 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001405613880
TypeChannel
Username@edusondaily
Created1 April 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/edusondaily

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.

Growth

20,31320,55720,4356 August 2026 — 20,557 subscribers6 August 2026 — 20,557 subscribers7 August 2026 — 20,549 subscribers8 August 2026 — 20,536 subscribers9 August 2026 — 20,531 subscribers10 August 2026 — 20,524 subscribers11 August 2026 — 20,519 subscribers12 August 2026 — 20,517 subscribers14 August 2026 — 20,502 subscribers15 August 2026 — 20,497 subscribers16 August 2026 — 20,488 subscribers17 August 2026 — 20,482 subscribers19 August 2026 — 20,477 subscribers19 August 2026 — 20,475 subscribers22 August 2026 — 20,466 subscribers24 August 2026 — 20,460 subscribers25 August 2026 — 20,452 subscribers26 August 2026 — 20,447 subscribers27 August 2026 — 20,441 subscribers28 August 2026 — 20,439 subscribers29 August 2026 — 20,427 subscribers30 August 2026 — 20,424 subscribers30 August 2026 — 20,419 subscribers1 September 2026 — 20,414 subscribers2 September 2026 — 20,404 subscribers3 September 2026 — 20,394 subscribers5 September 2026 — 20,393 subscribers8 September 2026 — 20,380 subscribers11 September 2026 — 20,358 subscribers13 September 2026 — 20,345 subscribers14 September 2026 — 20,337 subscribers16 September 2026 — 20,324 subscribers18 September 2026 — 20,313 subscribers6 August 202618 September 2026
33 measurements spanning 43 days, net -244. 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 20,276–20,594 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 16:4020,313-11
16 Sept 2026, 09:3820,324-13
14 Sept 2026, 16:2020,337-8
13 Sept 2026, 01:3820,345-13
11 Sept 2026, 03:5920,358-22
8 Sept 2026, 07:3920,380-13
5 Sept 2026, 01:5820,393-1
3 Sept 2026, 09:4920,394-10
2 Sept 2026, 01:4320,404-10
1 Sept 2026, 00:2420,414-5
30 Aug 2026, 23:0420,419-5
30 Aug 2026, 02:1520,424-3
29 Aug 2026, 03:0320,427-12
28 Aug 2026, 02:3520,439-2
27 Aug 2026, 03:0620,441-6
26 Aug 2026, 03:3420,447-5
25 Aug 2026, 03:5120,452-8
24 Aug 2026, 00:4720,460-6
22 Aug 2026, 07:1720,466-9
19 Aug 2026, 22:5320,475first reading

Engagement

36 posts held, back to 29 July 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 57 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.45%
avg views ÷ 20,313 subscribers
Avg views / post
295
11 posts measured
Reaction rate
2.87%
reactions ÷ views · ER floor
Posts in window
11
of 36 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 2 September 2026
Posts held36 (29 July 2026 – 2 September 2026)
Views total3,246
Reactions total93
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 00:16 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

266 reactions across 34 posts, in 9 distinct kinds. The most used accounts for 40.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10840.6%
🔥8933.5%
👍4818.0%
🤓72.63%
👏51.88%
🙏51.88%
✍20.752%
👌10.376%
🤝10.376%

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 36 of the 36 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 280 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 36 most recent posts we hold, published 29 July 2026 to 2 September 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
2.78%
1 of 36 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
231
over 1 measured post
Median views · rest
414
over 35 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
LdtCKXSTq128 August 202628 August 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 36 most recent posts we hold, published 29 July 2026 to 2 September 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

2 Sept 2026, 16:01 UTC151 views8 reactionsread 3 September 2026
Photo

📊 9 из 10 компаний ищут сотрудников с навыками работы с нейросетями, — данные Resume Builder. Разрыв между теми, кто уже применяет ИИ в работе, и теми, кто только присматривается, продолжает расти. Всё ещё сомневаетесь, нужно ли вам обучение? Тогда ловите ответы на самые популярные вопросы про курс по ИИ: Подойдёт ли курс, если опыта работы с нейросетями нет? Да, программа рассчитана на новичков. Начинается с осно…

❤3🔥3👍2

2 Sept 2026, 14:40 UTC208 views9 reactionsread 3 September 2026
Photo

Мария рисовала с детства, но с дизайном не сложилось — вместо этого поступила на художника-мастера и потом преподавала в художественной школе. А в 22 года она зашла в веб-дизайн после курса Эдюсон и получила первые заказы уже через три месяца. В Эдюсон есть курсы по веб- и графическому дизайну, дизайну интерьеров, презентаций и другим направлениям. Выбирайте то, что ближе вам, и начинайте с практики. 👇 📌 Веб-дизай…

❤3👍3🔥3

1 Sept 2026, 15:40 UTC294 views10 reactionsread 3 September 2026
Photo

Не умеете писать код, но давно хотите собрать своё приложение или сайт? 3 сентября покажем, как это сделать без навыков программирования. Уже в этот четверг мы проведём Eduson AI Forum и разберём, как внедрять ИИ в бизнес. А в конце наши эксперты в реальном времени создадут приложение с помощью нейросетей. В карточках — подробнее о формате, регистрация — по ссылке: https://eduson.academy/ai-forum

🔥5👍3❤2

31 Aug 2026, 15:15 UTC347 views10 reactionsread 3 September 2026
Photo

Одни компании внедряют ИИ хаотично: сотрудники заводят собственных агентов, загружают рабочие документы в разные сервисы и автоматизируют процессы без общих правил. Другие пытаются всё регламентировать, но забывают проверить, какие данные вообще можно передавать ИИ и где они потом обрабатываются. В результате проблема может обнаружиться уже постфактум: когда процесс зависит от одного сотрудника или данные ушли в сто…

🔥5❤3👍2

29 Aug 2026, 08:51 UTC414 views7 reactionsread 2 September 2026
Photo

Как ex-CFO с 20-летним стажем поняла, что финансам пора меняться Марина Одинова 20 лет проработала финансовым директором в производственных холдингах с оборотом до 3 млрд рублей. Прошла путь от бухгалтера до CFO и застала все ключевые процессы финансового блока изнутри. Три года назад Марина начала разбираться, как искусственный интеллект применяется в финансах. Сегодня она полтора года учит финансистов и топ-менед…

❤3🔥3👍1

28 Aug 2026, 14:35 UTC346 views9 reactionsread 2 September 2026
Photo

💡 3 промпта под ваши рабочие задачи Промпт для перевода слова с полным разбором «Сначала спроси у меня исходный и целевой язык, и дождись ответа. Дальше каждый раз я буду присылать слово. Дай картинки, которые передают его значение. Затем перечисли все значения слова и отметь частоту использования каждого звёздами от 1 до 5 (5 — говорят каждый день, 1 — редкое или устаревшее), с примером на каждое значение. В конце…

👍4❤3🔥2

28 Aug 2026, 12:31 UTC274 views8 reactionsread 1 September 2026

Согласны с Ярославом? Какой навык вы переоценили за последний год — делитесь в комментариях. А если чувствуете, что пора перейти от интуитивных решений к системному управлению финансами и стратегией, приходите на курс «Финансовый директор». На реальных кейсах «Северстали», «Магнита», «РусАла» и других компаний разберётесь, как управлять бюджетом, строить финансовые модели, оценивать бизнес и планировать налоги с уч…

🔥4❤3👍1

28 Aug 2026, 12:30 UTC231 views7 reactionsread 1 September 2026
Advertisementerid LdtCKXSTqForwarded from @malinovsky_career

Минутка образования к 1 сентября В Академии Эдюсон, где я преподаю на курсе «Финансовый директор с ИИ», запустился проект Back to School В этом проекте эксперты Академии делятся историями, которые сильно повлияли на ход их карьеры Команда Академии попросила меня принять участие и поделиться опытом. Вот какой вопрос достался мне 👇 Какое профессиональное убеждение за последний год вам пришлось полностью пересмотрет…

🔥4❤2👍1

28 Aug 2026, 12:30 UTC248 views11 reactionsread 1 September 2026
Photo

Даже эксперты с 20-летним опытом продолжают учиться #backtoschool_эдюсон Мы запускаем спецпроект Back to School. Попросили экспертов Эдюсон — топ-менеджеров, предпринимателей и лидеров индустрий — поделиться историями о переоцененных навыках, ошибках и главных карьерных поворотах. Открывает нашу серию постов история Ярослава Малиновского. Ярослав — эксперт курса «Финансовый директор», инвестиционный стратег с опы…

🔥6❤3👍2

27 Aug 2026, 14:45 UTC358 views10 reactionsread 1 September 2026
Photo

«После работы посмотрю курс» — а в итоге вечер снова уходит на что угодно, кроме учёбы. Мы не говорим, что учиться вечером или на выходных нельзя. Есть другой подход — встроить обучение в рабочий процесс. В карточках разобрали, как это сделать и что об этом говорят исследования. Не откладывайте обучение на «когда появится время». Выберите навык, который пригодится вам уже сейчас, и начните применять его в работе. П…

❤4👍3🔥3

26 Aug 2026, 15:15 UTC375 views4 reactionsread 31 August 2026
Photo

Мечтаете внедрить ИИ в свои бизнес-задачи? Сначала найдите процессы, которые регулярно отнимают у команды время или деньги: обработка обращений, анализ звонков, подготовка отчетов, работа с базой клиентов. В карточках собрали 5 направлений, где стоит поискать задачи для ИИ уже сейчас 👉 А 3 сентября на бесплатном Eduson AI Forum разберём реальные кейсы внедрения ИИ в маркетинг, продажи и операционку. Региструйтесь…

❤2👌1🔥1

Showing the 12 most recent of 36 posts we hold for @edusondaily. 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.

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 3 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.

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.

Creative Asia
@we_project · 72,367
Telegram ranks this channel #21 of 90 here — alongside 89 others — read 20 August 2026
EDUgrant - стипендии/форумы/стажировки
@edugrant_kg · 23,833
Telegram ranks this channel #26 of 87 here — alongside 86 others — read 17 September 2026
studroad
@studroad · 21,471
Telegram ranks this channel #32 of 75 here — alongside 74 others — read 23 September 2026
Стадика — стажировки, стипендии, обучение
@studyqa · 157,327
Telegram ranks this channel #44 of 88 here — alongside 87 others — read 12 August 2026
Гранты/Стипендии
@grantscholar · 45,731
Telegram ranks this channel #51 of 88 here — alongside 87 others — read 2 September 2026
Soft Skill | Навыки
@iAmbitious · 126,259
Telegram ranks this channel #61 of 95 here — alongside 94 others — read 13 August 2026
No Borders for Women: карьера для женщин
@noborders_forwomen · 22,144
Telegram ranks this channel #68 of 95 here — alongside 94 others — read 21 September 2026
Английский с Курчановым
@kurchanov · 24,502
Telegram ranks this channel #69 of 77 here — alongside 76 others — read 16 September 2026
grants.kz
@grants_scholarships · 53,321
Telegram ranks this channel #75 of 85 here — alongside 84 others — read 24 August 2026
Возможности в устойчивом развитии
@check_opportunities · 22,940
Telegram ranks this channel #76 of 93 here — alongside 92 others — read 19 September 2026

This channel appears in 10 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Академия Эдюсон (Eduson)” (@edusondaily), 20,313 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/edusondaily.

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.