Telegram RegisterThe public register of Telegram

Channel

Облачная дипломатия

@CloudDiplomacy

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

152subscribers

+0 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001112489831
TypeChannel
Username@CloudDiplomacy
DescriptionКанал посвящён вопросам использования цифровых технологий в дипломатии. Посты копируются из одноимённой группы в Фейсбуке https://www.facebook.com/groups/CloudDiplomacy/
Created25 January 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/CloudDiplomacy

Growth

1527 August 2026 — 152 subscribers8 August 2026 — 152 subscribers7 August 20268 August 2026
2 measurements spanning 2 days. 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 151–153 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 19:30152no change
7 Aug 2026, 01:15152first reading

Engagement

18 posts held, back to 24 February 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
12.5%
avg views ÷ 152 subscribers
Avg views / post
19.0
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
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 3 August 2026
Posts held18 (24 February 20263 August 2026)
Views total19
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 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.

What this channel posts

Photos
227
Videos
5
Links
243

Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

42 reactions across 15 posts, in 15 distinct kinds. The most used accounts for 19.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤡819.0%
😁511.9%
🫡511.9%
49.52%
👍49.52%
💊37.14%
🥰37.14%
🔥24.76%
🤝24.76%
👻12.38%
😭12.38%
🤔12.38%
🤣12.38%
🤩12.38%
🤪12.38%

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 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 42reactions 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 24 February 2026 to 3 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

3 Aug 2026, 14:57 UTC19 viewsread 8 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

4 Jun 2026, 17:21 UTC66 views1 reactionsread 8 August 2026
Photo

French Response не избегает драки.

🤡1

3 Jun 2026, 17:46 UTC43 views7 reactionsread 8 August 2026
Forwarded from @colaboratoria_eduPhoto

Открываем набор на Вторую Летнюю Колабораторию — Digital Boost to Your Research 🏓 Если у вас есть исследовательский вопрос, диплом, статья, диссертация или проект, который давно хочется продвинуть дальше, — это знак. С 13 по 15 августа 2026 года в Санкт-Петербурге пройдёт Вторая Летняя Колаборатория — интенсивная программа повышения квалификации по использованию ИИ-инструментов и цифровых методов в исследованиях ме

2👍2🔥2🤡1

29 May 2026, 06:16 UTC56 viewsread 8 August 2026
Forwarded from @redcourrier

В начале нулевых начинающим сотрудникам внешнеполитической службы для перевода какого-нибудь отраслевого документа требовалось хорошенько посидеть со словарем, кучу всего держать в голове. А для подготовки базовой «аналитики для бедных», то есть несекретного сводного материала по теме - покопаться в газетах, послушать радио, помимо прочих источников. Потыкать многократно в спорадически работающий модем, наконец, что

28 May 2026, 19:57 UTC50 views3 reactionsread 8 August 2026
Photo

Заброшенные домены почти неизбежно оказываются используются повторно, чаще всего для какой-нибудь серой рекламы. Бывший сайт (us-russiafuture[.]org) Рабочей группы по будущему российско-американских отношений, действовавшей на базе гарвардского Центра Дэвиса теперь стал дейтинговым (или псевдодейтинговым) сервисом. Очень мило, что создатели сохранили название: US-RU Future.

🤩1🥰1🫡1

18 May 2026, 07:01 UTC72 views1 reactionsread 8 August 2026
Forwarded from @MashaDevRel

Агенты, которые играют в игры Написала, зачем ИИшкам играться в компьютерные игрушки и чему они хотят там научиться — или их хотят там обучить В общем, статья о том, как MMORPG обучают ИИ кооперации, предательству и дипломатии https://habr.com/ru/companies/ru_mts/articles/1035364/

🫡1

30 Apr 2026, 14:26 UTC70 viewsread 8 August 2026
Forwarded from @airi_research_institutePhoto

🚀 Открываем приём заявок на Лето с AIRI 2026! Юбилейная Летняя школа по искусственному интеллекту пройдёт в Первом университетском лицее имени Н.И. Лобачевского при МГУ в городе Усть-Лабинск, Краснодарский край. Даты проведения — с 21 июля по 4 августа. На школе вы сможете лично пообщаться с известными учёными в области ИИ и найти единомышленников, зарядиться вдохновением и получить новые знания для будущих исследо

14 Apr 2026, 20:56 UTC83 views3 reactionsread 8 August 2026
Photo

Я надеюсь, что хоть кто-нибудь это изучает. Бесценные образцы межкультурной коммуникации. Почему-то больше всего «вавилонская рыбка» от Маска сблизила российских пользователей Твиттера с бразильскими.

1🤝1🥰1

14 Apr 2026, 08:15 UTC77 views2 reactionsread 8 August 2026

Ещё про Иран. https://www.nytimes.com/interactive/2026/04/09/business/iran-war-online-influence-propaganda.html

🫡1😁1

12 Apr 2026, 03:08 UTC76 views3 reactionsread 8 August 2026
Photo

Twitter (X) на этой неделе внедрил для всего мира функцию автоматического перевода постов на язык, понятный пользователю. Сначала в марте эту фичу применили к твитам на японском. Одновременно что-то было сделано и с алгоритмами, чтобы пользователям показывались твиты из других стран. Эти нововведения произвели поразительный эффект, люди действительно начали общаться друг с другом на родных языках через автоперевод.

1👍1🤝1

7 Apr 2026, 19:41 UTC84 views2 reactionsread 8 August 2026

Статья про СММ от КСИР. Про дипломатию как таковую нет, но в целом про медийную стратегию Ирана во время войны и тех, кто создаёт вирусные видео. Война ужасна, но, как всегда, даёт богатый материал для исследователей. Для тех, кто интересуется использованием соцсетей в конфликтах, это сейчас самая горячая тема, как со стороны Ирана, так и со стороны США. https://nymag.com/intelligencer/article/iran-revolutionary-gu

👍1🫡1

Showing the 12 most recent of 18 posts we hold for @CloudDiplomacy. 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

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

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

“Облачная дипломатия” (@CloudDiplomacy), 152 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/CloudDiplomacy.

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.