Telegram RegisterThe public register of Telegram

Channel

Колаборатория

@colaboratoria

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

1,398subscribers

+2 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001598365476
TypeChannel
Username@colaboratoria
Created22 September 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/colaboratoria

Growth

1,3961,3981,3976 August 2026 — 1,396 subscribers7 August 2026 — 1,396 subscribers13 August 2026 — 1,398 subscribers6 August 202613 August 2026
3 measurements spanning 6 days, net +2. 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 1,396–1,398 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 03:061,398+2
7 Aug 2026, 06:351,396no change
6 Aug 2026, 17:331,396first reading

Engagement

18 posts held, back to 17 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
16.5%
avg views ÷ 1,398 subscribers
Avg views / post
231
18 posts measured
Reaction rate
6.52%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 6 August 2026
Posts held18 (17 July 20266 August 2026)
Views total4,158
Reactions total271
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 17:33 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

271 reactions across 18 posts, in 7 distinct kinds. The most used accounts for 31.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 52628246899563239748631.7%
custom 54180662785752806347025.8%
custom 52607306399964505184416.2%
custom 5260517077042623840228.12%
custom 5262523629928742660228.12%
custom 5260653480908978405197.01%
custom 526067022698646369482.95%

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 18 of the 18 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 271reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 17 July 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 18 we hold a reading for · 11%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @colaboratoria. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 18 most recent posts we hold for this entry, published 17 July 2026 to 6 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

6 Aug 2026, 13:10 UTC63 views7 reactionsread 6 August 2026
Photo

Обзор новостей из мира ИИ и технологий 1️⃣ Разработчики из Бразилии создали шрифт, понятный людям, но не читаемый ИИ. ShieldFont сохраняет привычное отображение текста в браузере, но подменяет его содержание при анализе HTML-кода. По замыслу авторов, это должно усложнить массовый сбор материалов для обучения ИИ без согласия владельцев сайтов. 2️⃣ Google начнёт проверять разработчиков приложений вне Play Store. С 30

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4 Aug 2026, 11:05 UTC131 views12 reactionsread 6 August 2026
Photo

Почему «ИИ для всех» от Цукерберга вызывает и одобрение, и подозрения — комментарий RT en Español Марк Цукерберг опубликовал манифест, в котором он выступает против концентрации передовых технологий в руках нескольких компаний, продвигает идею персонального ИИ для широкой аудитории и представляет Meta* как сторонника более открытой модели развития отрасли. ИИ, по его версии, должен расширять возможности человека, а

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3 Aug 2026, 14:52 UTC332 views18 reactionsread 6 August 2026
Photo

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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1 Aug 2026, 07:00 UTC212 views12 reactionsread 6 August 2026
Photo

Обзор новостей из мира ИИ и технологий 1️⃣ Более тысячи сотрудников крупнейших ИИ-компаний призвали правительства усилить международное управление развитием передового ИИ. В открытом обращении представители OpenAI, Anthropic, Google DeepMind, Microsoft и других компаний-разработчиков предупредили о рисках стремительного развития frontier-моделей и заявили, что государства уже сейчас должны начать формировать междуна

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29 Jul 2026, 13:55 UTC250 views16 reactionsread 6 August 2026
Forwarded from @pokoleniebrics

Глава Экспертного совета БРИКС–Россия Виктория Панова в интервью Ahram Online рассказала, куда движется валютная архитектура Глобального Юга. 📊 Что уже работает: валютные свопы, прямые корреспондентские связи банков, стандартизированный клиринг. Эти механизмы — готовые "строительные блоки" для масштабирования на весь блок и страны Азиатско-Тихоокеанского региона (их обсуждали на Финансовом конгрессе Банка России в С

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29 Jul 2026, 13:55 UTC241 views17 reactionsread 6 August 2026

Цифровые валюты постепенно становятся частью новой мировой финансовой архитектуры Какую роль в этом процессе играют страны БРИКС и почему развитие трансграничных расчетов сегодня выходит на первый план — в интервью главы Экспертного совета БРИКС–Россия Виктории Пановой ⬇️ 🌐 #colab_рекомендация

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29 Jul 2026, 08:45 UTC210 views17 reactionsread 6 August 2026
Forwarded from @kvsspb78Photo

#35КВС Директор АНО «Координационная лаборатория» Анна Николаевна Сытник поздравила КВС с 35-летием.

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28 Jul 2026, 13:50 UTC254 views15 reactionsread 6 August 2026
Video

В эфире Соловьёв.LIVE о регулировании ИИ в России Важно, что новый, только что принятый закон вводит различие между национальными и суверенными большими фундаментальными моделями. Теперь мы четко понимаем, что такое технологический суверенитет, а компании понимают, каким правилам им нужно следовать дальше. 🔵 Суверенная модель — это самый высокий уровень технологического контроля в России. Её разработка на всех стад

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27 Jul 2026, 07:14 UTC242 views13 reactionsread 6 August 2026
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Обзор новостей из мира ИИ и технологий 1️⃣ Владимир Путин подписал закон, который закладывает правовую основу для развития искусственного интеллекта в России. Документ вводит понятия суверенных и национальных больших фундаментальных моделей, определяет правила их разработки и применения, а также меры государственной поддержки. Разработчики таких моделей смогут получать доступ к данным государственных информационных

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23 Jul 2026, 16:11 UTC267 views13 reactionsread 6 August 2026
Forwarded from @zvezda_analyticsVideo

Цифровые платформы превращаются в инструмент тотального контроля. Миллиардные убытки – результат нажатия нескольких клавиш на компьютере. Банковский сектор, социальная инженерия, дипфейки, подделка документов и кибератаки – не полный список целей и современных способов воровства и мошенничества. Главная цель транснациональных корпораций — уничтожение национальных государств и замена их цифровыми платформами. Россия

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23 Jul 2026, 15:15 UTC245 views15 reactionsread 6 August 2026
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Программа «Стратегия национальной безопасности» на радио «Звезда» Обсудили с радиоведущей «Звезды» Анной Шафран ключевые вызовы эпохи искусственного интеллекта: 🔵 как искусственный интеллект меняет процесс принятия решений и где проходит граница между помощью алгоритмов и ответственностью человека; 🔵 зачем России нужны национальные и суверенные большие фундаментальные модели, чем они отличаются и почему законодате

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22 Jul 2026, 09:45 UTC209 views13 reactionsread 6 August 2026
Forwarded from @pokoleniebrics

Когда технологии становятся политическим рычагом: ИИ в американской предвыборной гонке Искусственный интеллект давно вышел за рамки лабораторий и новостных заголовков — сегодня он становится мощным инструментом влияния на политические процессы. В США эта тенденция обретает особенно четкие очертания: за кулисами предвыборной борьбы все громче звучит голос технологических лоббистов. Цифры Федеральной избирательной ко

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Showing the 12 most recent of 18 posts we hold for @colaboratoria. 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 — 193,275 of 1,160,990entries 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

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 9 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Колаборатория” (@colaboratoria), 1,398 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/colaboratoria.

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.