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Channel

Все в ШАД!

@vse_v_shad

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

10,884subscribers

+399 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-1001820144498
TypeChannel
Username@vse_v_shad
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/vse_v_shad

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 11 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

10,48510,88410,684.56 August 2026 — 10,485 subscribers6 August 2026 — 10,488 subscribers7 August 2026 — 10,492 subscribers8 August 2026 — 10,496 subscribers9 August 2026 — 10,504 subscribers10 August 2026 — 10,511 subscribers12 August 2026 — 10,522 subscribers13 August 2026 — 10,523 subscribers14 August 2026 — 10,537 subscribers16 August 2026 — 10,550 subscribers17 August 2026 — 10,566 subscribers18 August 2026 — 10,594 subscribers19 August 2026 — 10,613 subscribers20 August 2026 — 10,643 subscribers21 August 2026 — 10,647 subscribers23 August 2026 — 10,657 subscribers24 August 2026 — 10,672 subscribers25 August 2026 — 10,679 subscribers26 August 2026 — 10,690 subscribers28 August 2026 — 10,692 subscribers29 August 2026 — 10,695 subscribers30 August 2026 — 10,706 subscribers31 August 2026 — 10,705 subscribers1 September 2026 — 10,716 subscribers3 September 2026 — 10,729 subscribers4 September 2026 — 10,739 subscribers7 September 2026 — 10,766 subscribers10 September 2026 — 10,811 subscribers12 September 2026 — 10,823 subscribers14 September 2026 — 10,826 subscribers15 September 2026 — 10,849 subscribers18 September 2026 — 10,884 subscribers6 August 202618 September 2026
32 measurements spanning 43 days, net +399. 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 10,425–10,944 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
18 Sept 2026, 06:1810,884+35
15 Sept 2026, 22:2210,849+23
14 Sept 2026, 07:5810,826+3
12 Sept 2026, 15:0110,823+12
10 Sept 2026, 14:4010,811+45
7 Sept 2026, 10:1610,766+27
4 Sept 2026, 13:0010,739+10
3 Sept 2026, 00:0310,729+13
1 Sept 2026, 19:0810,716+11
31 Aug 2026, 18:3510,705-1
30 Aug 2026, 15:0510,706+11
29 Aug 2026, 18:3510,695+3
28 Aug 2026, 22:0710,692+2
26 Aug 2026, 18:5310,690+11
25 Aug 2026, 19:5710,679+7
24 Aug 2026, 20:1510,672+15
23 Aug 2026, 07:2810,657+10
21 Aug 2026, 18:5410,647+4
20 Aug 2026, 16:5410,643+30
19 Aug 2026, 19:3310,613first reading

Engagement

32 posts held, back to 15 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 39 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
33.8%
avg views ÷ 10,884 subscribers
Avg views / post
3,680
9 posts measured
Reaction rate
1.16%
reactions ÷ views · ER floor
Posts in window
9
of 32 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 8 of 9 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 1 September 2026
Posts held32 (15 July 20261 September 2026)
Views total33,140
Reactions total341
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Sept 2026, 20:26 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
2m 37s
Average length
1m 19s

Measured directly from 2 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

2,061 reactions across 30 posts, in 29 distinct kinds. The most used accounts for 31.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
64731.4%
custom 519272058448357055242220.5%
🔥31315.2%
👍2019.75%
❤‍🔥1858.98%
🎉562.72%
😁411.99%
🥰341.65%
281.36%
🏆231.12%
😭150.728%
😎120.582%
🤪120.582%
🤓100.485%
👀90.437%
80.388%
😍80.388%
👎60.291%
🥱50.243%
👨‍💻40.194%
9 further kinds221.07%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.

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 30 of the 32 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 2,061 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 15 July 2026 to 1 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.

Recent posts

1 Sept 2026, 14:23 UTC≈1,830 views34 reactionsread 1 September 2026
Photo

Сегодня мы празднуем День знаний и предлагаем встретить его вместе с ШАДом. Впереди новый семестр, знания и задачи. А начать его можно вместе со студентами ШАДа на неделе онбординга. Перед каждым семестром мы проводим серию полезных лекций по хардам и софтам. В этом году приглашаем вас присоединиться онлайн к двум из них: 7️⃣ сентября, 18:00 МСК — «Резильентность: как повысить свои шансы на успех в учёбе» Поговорим

🔥207👀4custom 51927205844835705523

30 Aug 2026, 14:36 UTC≈3,020 views51 reactionsread 1 September 2026
Photo

⚡ С днем рождения, Лицей 🎉 30 августа 2016 года открылся приём в первую четвёрку городов Яндекс Лицея — Саратов, Пенза, Калуга, Тамбов. Двухгодичную программу построили вокруг Python для школьников 8 и 9 классов: сначала теория и небольшие проекты, потом — настоящие технологии на практике. Сегодня Лицею десять лет, и за эти годы через него прошли 50 000+ подростков, а площадки открылись в 150 городах — от Калинингр

🔥30❤‍🔥96custom 51927205844835705524🎉1👍1

28 Aug 2026, 12:36 UTC≈3,460 views20 reactionsread 1 September 2026
Photo

Лето заканчивается, а значит, впереди новый сезон подготовки к ШАДу, мероприятий и полезного контента. Спасибо, что участвовали в опросах во время набора, но в течение учёбы интересы могут измениться. Чтобы в этом году канал был максимально полезным, нам важно понять — кто вы и чего вам не хватает? Ниже будет пара быстрых опросов, выберите нужный вариант. А в комментариях к этому посту устроим брейншторм: 1️⃣ Что б

11😭71custom 51927205844835705521

27 Aug 2026, 09:45 UTC≈4,380 views74 reactionsread 1 September 2026
Photo

На связи — Питерский ШАД В этом году здесь собрались участники и менторы международной Летней школы ШАДа. Она прошла совместно с Yandex Research и была посвящена эффективной работе больших языковых моделей — LLM Efficiency. К студентам ШАДа присоединились ребята из ML School Uzbekistan. Перед школой все участники прошли отбор и собеседование с ментором на английском языке: нужно было показать не только знание теории

43🔥15❤‍🔥8custom 51927205844835705524😎3🤪1

26 Aug 2026, 13:53 UTC≈3,820 views15 reactionsread 1 September 2026
Photo

До начала первого семестра осталось совсем чуть-чуть. Но вместо того, чтобы сидеть и ждать старта осенней рутины, предлагаем тебе вместе с нами посмотреть на учёбу по-новому. 💙 Мы в Яндекс Образовании предлагаем тебе посмотреть на будущее не как на туманное «потом», а увидеть его во всём новом, что происходит с тобой прямо сегодня. Поймать драйв самого процесса учёбы: азарта новых задач, волнения перед экзаменом, эк

9👍3🔥3

25 Aug 2026, 14:43 UTC≈4,710 views49 reactionsread 1 September 2026
Photo

Как собрать AI-агента, если не хочется разбираться с кодом и архитектурой для выполнения задачи? Студенты ШАДа попробовали решить эту задачу привычным для пользователей способом — с помощью общения на естественном языке. В рамках проектного курса Серёжа Растворов и Женя Усков вместе с менторами от Яндекса Анной Коковиной и Серёжей Нарбутом разработали Agent Builder в формате чата. Пользователь описывает, что долже

😁23🤪119🔥3❤‍🔥1👀1👨‍💻1

24 Aug 2026, 07:20 UTC≈4,710 views96 reactionsread 1 September 2026
Photo

Математика — основа обучения в ШАДе 🙂 У каждого абитуриента альтернативного трека поступления и направления «ИИ в естественно-научных исследованиях» свой опыт, поэтому в ШАДе для них начинается с августовского месячного курса-интенсива «Математика для Data Science» (по 3 сдвоенных занятия в неделю, то есть это полноценный семестровый курс) — он помогает подровнять уровень подготовки и уверенно влиться в обучение. К

62🥰13👍9🔥4🤗4custom 51927205844835705524

20 Aug 2026, 12:40 UTC≈5,950 views49 reactionsread 1 September 2026
Photo

🛡Магические шестиугольники? Нет, не слышали История этого материала очень забавна. В преддверии девятнадцатилетия ШАД в чате выпускников обсуждали особенности числа 19. Такое приятное времяпрепровождение для любителей математики. 😁 Кто-то заметил, что 19 — это простое число-близнец. Кто-то другой ответил, что 19 — это количество ячеек в единственном нетривиальном нормальном магическом шестиугольнике. Тут и начинает

custom 51927205844835705522220👨‍💻3👍2🔥2

19 Aug 2026, 13:53 UTC≈5,220 views91 reactionsread 1 September 2026
Photo

Преподаватели курса по рекомендательным системам в ШАД участвовали в работе над Sona — единой моделью для рекомендательного стека Яндекс Музыки ⚡ Команда опубликовала Sona Technical Report — итог целого года работы, в результате которой удалось заменить весь стек рекомендаций Яндекс Музыки единой моделью. Внутри репорта — много деталей об архитектуре и инфраструктуре, а также многочисленные аблейшны. Sona заменила

👍3627🔥17👀4🎉32❤‍🔥2

18 Aug 2026, 12:36 UTC≈5,400 views29 reactionsread 1 September 2026
Video

DATA DOJO от Y&&Y в Санкт-Петербурге ⚡️ Скоро новый учебный год, а с ним и множество интересных и полезных мероприятий. И вот наш первый анонс на сентябрь 👀 9 сентября собираем data-самураев в офлайне: обсудим ML-тренды, разберём реальные случаи из практики яндексоидов, поделимся опытом. В программе — кейсы и разборы задач от ML-экспертов Яндекса: 🔵Антон Клочков из команды ML-разработки Фотоинпута расскажет, поче

17🔥8😍4

Showing the 12 most recent of 32 posts we hold for @vse_v_shad. 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 4 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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Все в ШАД!” (@vse_v_shad), 10,884 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/vse_v_shad.

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.