Telegram RegisterThe public register of Telegram
Telegram profile photo for Центр непрерывного образования ФКН НИУ ВШЭ

Channel

Центр непрерывного образования ФКН НИУ ВШЭ

@cshsedpo

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

5,964subscribers

-49 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001531228913
TypeChannel
Username@cshsedpo
Created8 August 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/cshsedpo

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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 the other topics.

Growth

5,9616,0546,007.55 August 2026 — 6,013 subscribers6 August 2026 — 6,013 subscribers9 August 2026 — 6,007 subscribers12 August 2026 — 6,013 subscribers16 August 2026 — 6,018 subscribers18 August 2026 — 6,027 subscribers22 August 2026 — 6,037 subscribers25 August 2026 — 6,040 subscribers28 August 2026 — 6,028 subscribers3 September 2026 — 6,054 subscribers9 September 2026 — 6,043 subscribers13 September 2026 — 6,029 subscribers17 September 2026 — 6,019 subscribers27 September 2026 — 6,009 subscribers5 October 2026 — 5,999 subscribers11 October 2026 — 5,986 subscribers15 October 2026 — 5,982 subscribers17 October 2026 — 5,978 subscribers20 October 2026 — 5,979 subscribers23 October 2026 — 5,984 subscribers27 October 2026 — 5,979 subscribers30 October 2026 — 5,966 subscribers2 November 2026 — 5,961 subscribers5 November 2026 — 5,964 subscribers5,9645 August 20265 November 2026
24 measurements spanning 92 days, net -49. 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 5,947–6,068 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
5 Nov 2026, 13:575,964+3
2 Nov 2026, 17:265,961-5
30 Oct 2026, 14:465,966-13
27 Oct 2026, 05:295,979-5
23 Oct 2026, 21:365,984+5
20 Oct 2026, 21:595,979+1
17 Oct 2026, 22:475,978-4
15 Oct 2026, 01:555,982-4
11 Oct 2026, 13:565,986-13
5 Oct 2026, 10:165,999-10
27 Sept 2026, 02:416,009-10
17 Sept 2026, 21:386,019-10
13 Sept 2026, 16:206,029-14
9 Sept 2026, 12:386,043-11
3 Sept 2026, 20:586,054+26
28 Aug 2026, 08:476,028-12
25 Aug 2026, 13:126,040+3
22 Aug 2026, 11:576,037+10
18 Aug 2026, 20:076,027+9
16 Aug 2026, 05:546,018first reading

Engagement

38 posts held, back to 8 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 11 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.8%
avg views ÷ 5,964 subscribers
Avg views / post
821
16 posts measured
Reaction rate
0.955%
reactions ÷ views · ER floor
Posts in window
16
of 38 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 12 of 16 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 2 November 2026
Posts held38 (8 July 2026 – 2 November 2026)
Views total13,129
Reactions total103
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 01:06 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

462 reactions across 32 posts, in 8 distinct kinds. The most used accounts for 33.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤15433.3%
🔥14331.0%
👍10422.5%
custom 5393478312360169122296.28%
🍾255.41%
👏30.649%
🎉20.433%
😎20.433%

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 34 of the 38 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 476 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 38 most recent posts we hold, published 8 July 2026 to 2 November 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

Telegram’s own ‘edited’ marker: 5 of 16 posts held from the last 30 days (31.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

2 Nov 2026, 15:43 UTC346 views4 reactionsread 5 November 2026
Photo

⚙ Строить прогнозы на основе данных или обучить нейросеть распознавать изображения? Для таких задач применяют методы машинного обучения, в том числе классические алгоритмы и глубинные нейросети. Мы подготовили две программы, на которых вы сможете освоить эти методы на практике. Для участия в обеих программах нужно владеть Python. Для курса «Машинное обучение» также понадобятся базовые знания высшей математики. ➡️…

❤4

30 Oct 2026, 09:41 UTC541 viewsread 5 November 2026
Poll

Какие темы об ИИ вам хотелось бы чаще видеть в канале?

  1. Как составлять запросы и инструкции для ИИ32%
  2. Помощники на основе ИИ для сложных задач, состоящих из нескольких этапов61%
  3. Автоматизация повторяющихся рабочих процессов с помощью ИИ50%
  4. Применение ИИ в программировании и анализе данных54%
  5. Как проверять точность и полноту ответов ИИ45%
  6. Защита данных и контроль за использованием ИИ48%
  7. Сравнение возможностей и ограничений разных моделей36%
  8. Как выбирать задачи для применения ИИ и оценивать результат50%

The shares total 376%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

30 Oct 2026, 09:38 UTC501 viewsread 5 November 2026
Poll

Для каких задач вы уже используете ИИ?

  1. Поиск и обобщение информации73%
  2. Создание и редактирование текстов, документов и презентаций59%
  3. Создание и редактирование текстов, документов и презентаций53%
  4. Программирование: написание, проверка и исправление программного кода69%
  5. Автоматизация повторяющихся рабочих задач45%
  6. Пока не использую ИИ в рабочих задачах6%

The shares total 305%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

30 Oct 2026, 09:28 UTC477 viewsread 5 November 2026

Сегодня хотим узнать, как вы используете ИИ, какие задачи решаете с его помощью и какие темы об ИИ хотели бы чаще видеть в нашем канале 👆

30 Oct 2026, 09:28 UTC497 views0 reactionsread 5 November 2026
Poll

Как вы используете ИИ сейчас?

  1. Пока только знакомлюсь с возможностями ИИ19%
  2. Использую готовые ИИ-сервисы для отдельных задач33%
  3. Регулярно применяю ИИ в работе50%
  4. Настраиваю автоматизацию рабочих задач и создаю решения на основе больших языковых моделей33%
  5. Разрабатываю или поддерживаю решения на основе ИИ, которыми пользуются сотрудники или клиенты33%

The shares total 168%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

26 Oct 2026, 10:22 UTC743 views6 reactionsread 5 November 2026

🔄 Сегодня стартует онлайн-программа «Основы ИИ-агентов для автоматизации процессов» Участники освоят инструменты для разработки ИИ-агентов, научатся выстраивать сценарии их работы и автоматизировать процессы без написания кода. Результатом обучения станет самостоятельная сборка работающего ИИ-агента на low-code платформе (Nodul) с демонстрацией результата в формате питч-дека К программе ещё можно присоединиться в …

❤2👍2🔥2

21 Oct 2026, 13:30 UTC≈1,010 views13 reactionsread 5 November 2026
File

⏲ Как создать собственного ИИ-агента за 10 минут? ИИ-агенты умеют не только отвечать на вопросы, но и самостоятельно выполнять задачи: искать информацию, работать с документами и взаимодействовать с внешними сервисами. И для их создания необязательно уметь программировать. На прошедшем вебинаре «GigaPlatform AI Studio от Сбера: как собирать ИИ-агентов за 10 минут» эксперт ЦНО ФКН НИУ ВШЭ Маргарита Бурова показала, …

🔥7👍4❤2

20 Oct 2026, 14:02 UTC814 views8 reactionsread 5 November 2026

✈️ Встречаемся уже через час Сегодня вместе с Маргаритой Буровой разберёмся, как собрать собственного ИИ-агента в GigaPlatform AI Studio из готовых блоков. Покажем процесс создания на практике, обсудим, какие рабочие задачи можно делегировать агенту — от контента до аналитики — и как проверять результаты его работы. 🔊 Начинаем в 18:00 Если планировали присоединиться, самое время зарегистрироваться ⬇️ 🔗 Зарегистр…

❤5🔥3

19 Oct 2026, 10:57 UTC≈2,080 views12 reactionsread 5 November 2026
Photo

⚙ 20 октября в 18:00 приглашаем на вебинар «GigaPlatform AI Studio: собираем ИИ-агента для рабочих задач». На вебинаре Маргарита Бурова покажет, как собрать ИИ-агента из готовых блоков в GigaPlatform AI Studio. Что вас ждёт? 🔹 Познакомимся с возможностями платформы. 🔹 Посмотрим, как собирают агента из готовых блоков. 🔹 Разберём, какие задачи можно ему поручить. 🔹 Обсудим примеры применения для создания контента и а…

🔥6❤4👍2

16 Oct 2026, 12:32 UTC903 views12 reactionsread 5 November 2026
File

⚙ Как объяснить нейросети, какое изображение вы хотите получить? Хорошее изображение начинается с точного описания задачи. Чем яснее вы сформулируете запрос, тем ближе результат будет к вашей задумке. На прошедшем вебинаре «Анатомия визуального промпта» эксперт ЦНО ФКН НИУ ВШЭ Маргарита Бурова поделилась практическими приёмами генерации изображений. Собрали пять советов, которые стоит сохранить: 🔹 Начинайте с гла…

❤8🔥4

15 Oct 2026, 11:01 UTC860 views13 reactionsread 5 November 2026
Video message

Video message, posted without a caption

❤8🔥5

Showing the 12 most recent of 38 posts we hold for @cshsedpo. 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.

Polls

The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

30 Oct 2026, 09:41 UTCAnonymous Poll56 voters

Какие темы об ИИ вам хотелось бы чаще видеть в канале?

  1. Как составлять запросы и инструкции для ИИ32%
  2. Помощники на основе ИИ для сложных задач, состоящих из нескольких этапов61%
  3. Автоматизация повторяющихся рабочих процессов с помощью ИИ50%
  4. Применение ИИ в программировании и анализе данных54%
  5. Как проверять точность и полноту ответов ИИ45%
  6. Защита данных и контроль за использованием ИИ48%
  7. Сравнение возможностей и ограничений разных моделей36%
  8. Как выбирать задачи для применения ИИ и оценивать результат50%

The shares total 376%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

30 Oct 2026, 09:38 UTCAnonymous Poll49 voters

Для каких задач вы уже используете ИИ?

  1. Поиск и обобщение информации73%
  2. Создание и редактирование текстов, документов и презентаций59%
  3. Создание и редактирование текстов, документов и презентаций53%
  4. Программирование: написание, проверка и исправление программного кода69%
  5. Автоматизация повторяющихся рабочих задач45%
  6. Пока не использую ИИ в рабочих задачах6%

The shares total 305%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

30 Oct 2026, 09:28 UTCAnonymous Poll52 voters

Как вы используете ИИ сейчас?

  1. Пока только знакомлюсь с возможностями ИИ19%
  2. Использую готовые ИИ-сервисы для отдельных задач33%
  3. Регулярно применяю ИИ в работе50%
  4. Настраиваю автоматизацию рабочих задач и создаю решения на основе больших языковых моделей33%
  5. Разрабатываю или поддерживаю решения на основе ИИ, которыми пользуются сотрудники или клиенты33%

The shares total 168%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

13 Oct 2026, 11:56 UTCAnonymous Poll105 voters

Какие инструменты вы используете в работе с данными? Можно выбрать несколько вариантов ⬇️

  1. SQL53%
  2. Python73%
  3. pandas61%
  4. Excel62%
  5. BI-системы23%
  6. R15%
  7. Другое9%

The shares total 296%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 38 most recent posts we hold, published 8 July 2026 to 2 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

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 7 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.

HSE Career
@hsecareer · 51,242
Telegram ranks this channel #15 of 96 here — alongside 95 others — read 26 August 2026
Вышка для своих
@hse_live · 27,428
Telegram ranks this channel #17 of 90 here — alongside 89 others — read 11 September 2026
Т-Образование
@tbank_education · 113,579
Telegram ranks this channel #19 of 91 here — alongside 90 others — read 14 August 2026
8БИТ. Журнал Яндекс Образования
@journal_yandex_education · 18,803
Telegram ranks this channel #21 of 97 here — alongside 96 others — read 4 October 2026
Яндекс Образование
@Education_Yandex · 38,058
Telegram ranks this channel #22 of 96 here — alongside 95 others — read 31 August 2026
Stepik – онлайн-курсы
@stepik_courses · 28,903
Telegram ranks this channel #26 of 93 here — alongside 92 others — read 16 September 2026
Альфа-Будущее
@alfafuture · 51,909
Telegram ranks this channel #29 of 99 here — alongside 98 others — read 26 August 2026
Высшая школа экономики
@hse_official · 30,042
Telegram ranks this channel #31 of 86 here — alongside 85 others — read 8 September 2026
Sci_Career
@sci_career · 30,658
Telegram ranks this channel #34 of 92 here — alongside 91 others — read 7 September 2026
Школа 21
@school21sber · 53,607
Telegram ranks this channel #39 of 94 here — alongside 93 others — read 19 August 2026
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 47,077
Telegram ranks this channel #40 of 90 here — alongside 89 others — read 28 August 2026
Поступашки - Олимпиады, ЕГЭ, ДВИ
@postupashki · 31,887
Telegram ranks this channel #42 of 80 here — alongside 79 others — read 6 September 2026
inside hse
@inside_hse · 22,418
Telegram ranks this channel #52 of 79 here — alongside 78 others — read 25 September 2026
FutureToday
@futru · 36,443
Telegram ranks this channel #63 of 99 here — alongside 98 others — read 2 September 2026
Young&&Yandex
@Young_and_Yandex · 112,984
Telegram ranks this channel #64 of 92 here — alongside 91 others — read 14 August 2026

This channel appears in 15 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“Центр непрерывного образования ФКН НИУ ВШЭ” (@cshsedpo), 5,964 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/cshsedpo.

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.