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Channel
@institut_gaidara
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cross-platform identity · Cite this entry
825subscribers
+14 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002482834104 |
|---|---|
| Type | Channel |
| Username | @institut_gaidara |
| 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 | 13 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 13 September 2026 |
| On Telegram | t.me/institut_gaidara |
Other / unclassifiable — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 38% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Sept 2026, 17:00 | 825 | +4 |
| 6 Sept 2026, 05:16 | 821 | +1 |
| 28 Aug 2026, 07:57 | 820 | +1 |
| 21 Aug 2026, 08:17 | 819 | +5 |
| 13 Aug 2026, 13:58 | 814 | +3 |
| 6 Aug 2026, 15:21 | 811 | no change |
| 6 Aug 2026, 01:14 | 811 | first reading |
15 posts held, back to 20 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 3 August 2026. An engagement rate over an empty window would be a number about nothing.
114 reactions across 14 posts, in 10 distinct kinds. The most used accounts for 29.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 34 | 29.8% | |
| 👍 | 30 | 26.3% | |
| 🔥 | 28 | 24.6% | |
| 👌 | 8 | 7.02% | |
| 💯 | 6 | 5.26% | |
| 🤩 | 3 | 2.63% | |
| 🏆 | 2 | 1.75% | |
| ❤🔥 | 1 | 0.877% | |
| 👎 | 1 | 0.877% | |
| 👏 | 1 | 0.877% |
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 14 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 114 reactions 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 20 July 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.
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📇 Данные — ресурс, который может использоваться бесконечно для разных целей. Но доступ к ним регулируется странами по-разному в зависимости от сложившегося национального подхода. 😎 Ольга Солдаткина, к.ю.н., научный сотрудник лаборатории анализа лучших международных практик Института Гайдара, в видеокружке сравнила подходы Китая, США и России и обозначила вопрос, который ещё предстоит решить нашей стране👇 #Институт_…
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💬 Вчера в «Библиотеке на Газетном» прошла публичная лекция «Китай на пороге перемен: внутренние дисбалансы и принципиальные развилки»🇨🇳 😎 Лектор Ольга Пономарева, эксперт Фонда экономической политики, рассказала о внутренних дисбалансах китайской экономики: демографических, структурных, социально-экономических. Вместе со слушателями поговорили о том, какие сдвиги уже происходят в китайской экономике, а какие только…
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🔴 Ведём онлайн-трансляцию публичной лекции «Китай на пороге перемен: внутренние дисбалансы и принципиальные развилки» Начало в 19:00, подключайтесь! #Институт_Гайдара 🧐 Подписывайтесь на канал Института Гайдара | Читайте нас в Max
👍👍👍👍👍👍👍👍Зарплаты «синих воротничков» как маркер состояния реального сектора экономики Заведующая лабораторией анализа лучших международных практик Института Гайдара Антонина Левашенко в авторской колонке специально для «Суверенной экономики»: Во время пресс-конференции Банка России Эльвира Набиуллина после оглашения ключевой ставки в очередной раз отметила, что основой для роста экономики должна быть производительн…
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⏬Цикл смягчения продолжается: ключевая ставка снижена до 14% 😎 Евгений Горюнов, к.э.н., заведующий лабораторией денежно-кредитной политики Института Гайдара, прокомментировал для News.ru решение Банка России. Ожидания рынка оправдались: ключевая ставка снижена на 25 базисных пунктов — до 14,00% годовых. В пресс-релизе ЦБ отмечается удорожание моторного топлива как фактор текущего роста потребительских цен. Однако …
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⛽️ Инфляция в России ускорилась до 6% В новом номере Мониторинга экономической ситуации №15(229) в России эксперты проанализировали динамику цен и факторы, повлиявшие на рост инфляции. Авторы выпуска: 🔹 Глеб Барабанов, научный сотрудник лаборатории денежно-кредитной политики; 🔹 Евгений Горюнов, к.э.н., заведующий лабораторией денежно-кредитной политики; 🔹 Павел Трунин, д.э.н., ведущий научный сотрудник научного на…
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🇨🇳📉 Что стоит за рекордным замедлением китайской экономики? Где сформировались ключевые барьеры для роста? Оставляет ли Китай экспортоориентированную модель и переходит ли от производства «сделано в Китае» к роли «изобретено в Китае»? Ольга Пономарева, эксперт Фонда экономической политики, приглашает на публичную лекцию «Китай на пороге перемен: внутренние дисбалансы и принципиальные развилки», где обсудим все эти в…
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📑 Госдума приняла законопроект о криптовалютах На этой неделе ГД РФ в III чтении приняла законопроект о цифровых валютах и цифровых правах, который был внесен ещё в апреле. Дискуссий было много, в ряде из них участвовали научные сотрудники лаборатории анализа лучших международных практик Института Гайдара в качестве членов Рабочей группы при ЦБ РФ. В результате принятия закона в стране появятся 4 профессиональных у…
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Showing the 12 most recent of 15 posts we hold for @institut_gaidara. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 10 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.
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.
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
| Label | Gaidar Institute for Economic Policy |
|---|---|
| Description | research institute in Moscow, Russia |
| X / Twitter | @Gaidar_Institut |
| YouTube | UCfKDcOg363kT2gf8x6wLBUg |
| Official site | https://iep.ru/ru |
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 September 2026 — this entry's latest reading, not the date you are reading this.
“Институт Гайдара” (@institut_gaidara), 825 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/institut_gaidara.
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.