Channel

Колаборатория.Образование

@colaboratoria_edu

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

429subscribers

+3 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID	-1002344957716
Type	Channel
Username	@colaboratoria_edu
Created	Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded	6 August 2026
Last confirmed live	15 August 2026
Measurements held	3
Confirmed unchanged	1 time, most recently 15 August 2026
On Telegram	t.me/colaboratoria_edu

Growth

3 measurements spanning 9 days, net +3. 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 426–429 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
15 Aug 2026, 11:45	429	+3
6 Aug 2026, 19:30	426	no change
6 Aug 2026, 17:34	426	first reading

Engagement

15 posts held, back to 15 June 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days: 24.9%; avg views ÷ 429 subscribers
Avg views / post: 107; 8 posts measured
Reaction rate: 9.03%; reactions ÷ views · ER floor
Posts in window: 8; of 15 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
Window	Rolling 30 days · latest post in window 6 August 2026
Posts held	15 (15 June 2026 – 6 August 2026)
Views total	853
Reactions total	77
Forwards / comments	not exposed by the public surface — not measured, not estimated
Readings taken	6 Aug 2026, 19:30 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

193 reactions across 15 posts, in 6 distinct kinds. The most used accounts for 44.0% of them.

Every reaction kind recorded on the sample, most used first
Reaction	Count	Share
custom 5262824689956323974	85	44.0%
custom 5274249208474406633	42	21.8%
custom 5262623470738504039	39	20.2%
custom 5260653480908978405	21	10.9%
custom 5262523629928742660	3	1.55%
custom 5416132430895550120	3	1.55%

Custom emoji. Every 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 counts beside them areTelegram’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 15 of the 15 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 193reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 15 June 2026 to 6 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.

Recent posts

6 Aug 2026, 09:00 UTC50 views6 reactionsread 6 August 2026

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Как превратить работу с научной литературой в управляемую исследовательскую систему? Знакомим вас со следующим экспертом Летней Колаборатории 2026! ✔️ Александра Бордунос — старший преподаватель кафедры организационного поведения и управления персоналом, руководитель направления «ИИ в образовании» Центра преподавательского мастерства ВШМ СПбГУ. Александра проведёт два мастер-класса, посвящённых работе с научными и…

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5 Aug 2026, 09:00 UTC73 views10 reactionsread 6 August 2026

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Какие данные действительно нужны вашему исследованию и как проверить результат работы LLM? Начинаем знакомить вас ближе с экспертами Летней Колаборатории 2026! ✔️ Юрий Колотаев @splendors_miseries_of_modernity — к. полит. н., старший преподаватель ФМО СПбГУ. Юрий проведёт два мастер-класса, которые помогут выстроить более осознанную и воспроизводимую работу с исследовательскими данными: 1️⃣ Как выбрать подходящие…

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4 Aug 2026, 15:52 UTC113 views7 reactionsread 6 August 2026

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File, posted without a caption

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4 Aug 2026, 15:52 UTC116 views10 reactionsread 6 August 2026

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Полная программа Летней Колаборатории 2026: Digital Boost to Your Research 🏓 С 13 по 16 августа в Санкт-Петербурге мы пройдём полный исследовательский маршрут — от уточнения RQ и работы с научной литературой до сбора данных, применения цифровых методов и презентации результатов. 🔹 Обсудим использование LLM в исследованиях, разберём ИИ-инструменты для подготовки обзоров литературы и научимся выстраивать собственную …

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3 Aug 2026, 14:53 UTC67 views12 reactionsread 6 August 2026

Forwarded from @colaboratoriaPhoto

Дарим учебник для исследователей 🙂 Печатная версия нашего учебника «Исследования в международных отношениях: прикладные методы и цифровые инструменты» уже доступна к заказу в ваших любимых книжных — полный список и ссылки оставили в этом посте. Мы хотим порадовать тех, кто работает над своими исследованиями с помощью нашего «Живого учебника» и использует цифровые методы — дарим печатную версию гайда, чтобы он продо…

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30 Jul 2026, 07:55 UTC150 views13 reactionsread 6 August 2026

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OpenScience: открытая альтернатива Claude Science Недавно мы рассказывали о Claude Science — исследовательской среде Anthropic для работы с научными данными и вычислениями. Теперь у нее появилась open-source альтернатива — OpenScience от компании Synthetic Sciences. Проект представили в июле 2026 года и выпустили под лицензией Apache 2.0, что позволяет свободно использовать, изменять и адаптировать платформу под за…

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28 Jul 2026, 13:40 UTC125 views7 reactionsread 6 August 2026

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Anthropic добавила в Claude Cowork функцию Record a skill Данная функция позволяет обучить Claude какой-либо задаче, записав экран во время её выполнения и превратив это в многократно используемый навык. Record a skill объединяет три уровня информации: 1️⃣ Экран и клики: визуальная последовательность действий, какие приложения открывает пользователь и куда кликает. 2️⃣ Набранный текст: значения, которые вводятся,…

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26 Jul 2026, 11:36 UTC159 views12 reactionsread 6 August 2026

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Бесплатный интенсив по безопасности ИИ-агентов от Яндекса По мере того как ИИ-агенты получают доступ к файлам, API и внешним сервисам, безопасность становится отдельным направлением разработки. Этой теме посвящена бесплатная AI Agents Security Week от Школы анализа данных Яндекса. Что разберут на интенсиве: • как устроены современные ИИ-агенты; • какие уязвимости возникают при работе с данными и внешними инструме…

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16 Jul 2026, 14:17 UTC194 views15 reactionsread 6 August 2026

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Программы магистратуры на стыке ИИ и гуманитарных наук Собрали дайджест для тех, кто стал счастливым обладателем «корочки» бакалавриата и хочет продолжить путь по этой траектории! 01. Цифровые методы в гуманитарных исследованиях (ИТМО, г. Санкт-Петербург / очное) Образовательная программа ориентирована прежде всего на студентов, которые стремятся освоить цифровые методы анализа культурных данных (тексты, изображен…

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7 Jul 2026, 14:20 UTC199 views12 reactionsread 6 August 2026

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«Взгляд на рынок ИИ: от глобальных трендов к российской практике» — бесплатный вебинар от Yandex Cloud Если вы следите за цифровой трансформацией, развитием ИИ-технологий и их влиянием на бизнес, обязательно добавляйте эту встречу в свой календарь. О чём будет вебинар? Эксперты рассмотрят, как сегодня оценивают рынок ИИ, какие сегменты растут быстрее всего и как генеративный ИИ меняет рынок ПО. Также сравним росси…

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2 Jul 2026, 11:50 UTC227 views17 reactionsread 6 August 2026

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Основная волна набора на Летнюю Колабораторию закрыта 🏓 Спасибо всем, кто подал заявку на участие в Летней Колаборатории — Digital Boost to Your Research! В этом году мы получили более 60 заявок и сейчас переходим к этапу отбора. Нам очень приятно видеть, сколько сильных исследовательских идей и проектов вы хотите привезти на школу. 💯 В течение двух дней всем, кто подал заявку, придёт письмо на почту с решением по…

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29 Jun 2026, 10:29 UTC191 views14 reactionsread 6 August 2026

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Дайджест мероприятий 🏃‍➡️ Подборка программ для исследователей и преподавателей на это лето, которые точно нельзя пропустить! 01. Вторая Летняя Колаборатория — Digital Boost to Your Research (13–16 августа 2026 г., Санкт-Петербург / онлайн) 💯 Молодые исследователи, не упустите возможность получить грант на бесплатное участие в Летней Школе! Эксперты буквально проведут вас за руку на пути освоения новых цифровых м…

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Showing the 12 most recent of 15 posts we hold for @colaboratoria_edu. 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 — 835,057 of 1,480,944entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Academgram
@academgram · 3491 post Облачная дипломатия
@CloudDiplomacy · 1511 post

Republishes

Channels on the register whose posts this channel has forwarded.

Колаборатория
@colaboratoria · 1,3981 post

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.

Named by

Channels on the register whose posts name this channel's handle.

Academgram
@academgram · 3491 post Облачная дипломатия
@CloudDiplomacy · 1511 post Колаборатория
@colaboratoria · 1,3981 post

Names

Channels on the register whose handles appear in this channel's posts.

Колаборатория
@colaboratoria · 1,3982 posts Блеск и нищета современности
@splendors_miseries_of_modernity · 2391 post

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

“Колаборатория.Образование” (@colaboratoria_edu), 429 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/colaboratoria_edu.

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.