Telegram RegisterThe public register of Telegram

Channel

ECONS

@Econsonline

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

13,130subscribers

-3 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001322105980
TypeChannel
Username@Econsonline
DescriptionОткрытый портал в экономику. Пишем об актуальных экономических исследованиях и о том, как они повлияют на жизнь. https://econs.online Регистрация в перечне РКН: https://gosuslugi.ru/snet/67a1f971b4d68432fca12333
Created16 June 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held9
Confirmed unchanged2 times, most recently 14 August 2026
On Telegramt.me/Econsonline

Growth

13,12013,13313,126.56 August 2026 — 13,133 subscribers6 August 2026 — 13,133 subscribers7 August 2026 — 13,132 subscribers8 August 2026 — 13,130 subscribers8 August 2026 — 13,125 subscribers10 August 2026 — 13,123 subscribers10 August 2026 — 13,120 subscribers12 August 2026 — 13,126 subscribers13 August 2026 — 13,130 subscribers13,1306 August 202613 August 2026
9 measurements spanning 7 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 13,118–13,135 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 03:4813,130+4
12 Aug 2026, 00:4113,126+6
10 Aug 2026, 21:3413,120-3
10 Aug 2026, 01:0113,123-2
8 Aug 2026, 21:5713,125-5
8 Aug 2026, 00:1513,130-2
7 Aug 2026, 00:0613,132-1
6 Aug 2026, 02:3213,133no change
6 Aug 2026, 02:0713,133first reading

Engagement

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

ERR · 30 days
32.8%
avg views ÷ 13,130 subscribers
Avg views / post
4,310
14 posts measured
Reaction rate
0.962%
reactions ÷ views · ER floor
Posts in window
14
of 23 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 14 August 2026
Posts held23 (1 July 202614 August 2026)
Views total60,320
Reactions total580
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 23:52 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
361
Videos
23
Links
1,710

Lifetime counters from Telegram’s own channel header, read 14 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

870 reactions across 21 posts, in 19 distinct kinds. The most used accounts for 34.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍29634.0%
🔥26730.7%
11112.8%
👏303.45%
🦄303.45%
💯252.87%
222.53%
🤔222.53%
👎151.72%
😁111.26%
❤‍🔥101.15%
🆒91.03%
80.92%
😢40.46%
🤓40.46%
😡30.345%
👌10.115%
🙏10.115%
🤯10.115%

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 23 of the 23 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 969reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 1 July 2026 to 14 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

14 Aug 2026, 10:53 UTC≈1,540 views44 reactionsread 14 August 2026
Photo

Все слышали о «волке с Уолл-стрит», а что вы знаете о «волчицах»? Паулина Брен, историк и профессор гендерных исследований в колледже Вассар, написала о них книгу. «Волчицы с Уолл-стрит» – книга о том, как первое поколение женщин боролось за право работать в финансовом секторе наравне с мужчинами: брокерами, аналитиками, партнерами и руководителями инвестиционного бизнеса – а не только секретаршами и посыльными. В

👍159😁7🔥6🦄32🤔2

12 Aug 2026, 09:39 UTC≈4,260 views37 reactionsread 14 August 2026
Photo

Говоря об экономическом росте, часто имеют в виду одно число – на сколько вырос ВВП. Однако гораздо важнее понимать, за счет чего этот рост происходит. Экономика может расти потому, что больше людей выходит на работу; потому, что бизнес устанавливает больше оборудования; потому, что простаивавшие мощности снова загружаются заказами; или потому, что те же люди и оборудование начинают производить больше благодаря улуч

👍18🔥133🤓21

11 Aug 2026, 10:46 UTC≈6,060 views48 reactionsread 14 August 2026

Исторический опыт последних 70 лет опровергает тезис о том, что старение населения всегда ведет к снижению ВВП, показал в новой работе нобелевский лауреат Дарон Аджемоглу с соавторами. Старение населения и грядущее сокращение населения мира часто вызывают пессимизм в отношении перспектив экономического роста. Например, и МВФ, и ОЭСР предсказывают его замедление из-за демографических изменений. Однако за последние с

👍18🔥14👏86🤔1😁1

8 Aug 2026, 08:37 UTC≈2,340 views25 reactionsread 14 August 2026

🌐🌐🌐🌐🌐🌐🌐🌐🌐🌐 Топ-10 исследований, которые редакция «Эконс» обсуждала на этой неделе 1⃣ФРБ Ричмонда: волатильность рынка увеличивает операционные потери банков (убытки от внутренних сбоев). Увеличение «индекса страха» VIX – показателя волатильности фондового рынка – на одно стандартное отклонение (8,4 пункта) связано с ростом операционных потерь американских банков на 23%, или в среднем на $80 млн. Механизмы: стресс ра

👍10🔥762

7 Aug 2026, 10:25 UTC≈2,520 views54 reactionsread 14 August 2026

Спустя десятилетие после принятия Парижского соглашения вредные выбросы продолжают расти, общество недооценивает масштабы рисков, принимаемые меры запаздывают, а климатические риски усиливаются. Большинство ключевых климатических индикаторов не просто растут, но растут с увеличивающейся скоростью. Если эти тенденции сохранятся, климатический кризис может стать неуправляемым, считают эксперты ЕЦБ. Они называют сложи

👍23🔥12💯103👎3🤓2🤯1

6 Aug 2026, 10:39 UTC≈2,500 views36 reactionsread 14 August 2026
Photo

Вопреки ожиданиям о «сворачивании» глобальных производств и их возвращении «домой», ОЭСР фиксирует: глобальные цепочки создания стоимости не сокращаются – они становятся сложнее. Глобальные цепочки создания стоимости (ГЦС) – это международный процесс производства товаров и услуг, в котором разные этапы создания продукта, от идеи до производства и маркетинга, распределены по разным странам. В докладе, посвященном те

👍15🔥9💯75

4 Aug 2026, 10:49 UTC≈7,320 views37 reactionsread 14 August 2026
Photo

Кризисы на рынке акций обычно воспринимаются как внезапные обвалы – «черные лебеди». Но это лишь часть истории. Не менее важно, насколько быстро стоимость активов возвращается к уровню, который был до спада. Если измерять кризис не только глубиной падения, но и продолжительностью восстановления до пика, «черные лебеди» превращаются в «черных индеек» – перестают быть внезапными, но становятся длительными, растянутыми

👍16👏6🔥63🦄3❤‍🔥2🤔1

1 Aug 2026, 09:52 UTC≈3,010 views32 reactionsread 14 August 2026

🌐🌐🌐🌐🌐🌐🌐🌐🌐🌐 Топ-10 исследований, которые редакция «Эконс» обсуждала на этой неделе 1⃣Покупка акций центробанком через биржевые фонды – инструмент нетрадиционной монетарной политики, призванный стабилизировать рынки, – может иметь побочный эффект: снижение качества корпоративного управления, показывают экономисты на примере Банка Японии, который стал одним из крупнейших институциональных акционеров в мире. Центробанк

12🔥8👍54🦄3

31 Jul 2026, 13:17 UTC≈5,730 views71 reactionsread 14 August 2026

Posted without readable text

🔥30👍1711🤔7👏5👎1

30 Jul 2026, 10:33 UTC≈2,800 views26 reactionsread 14 August 2026

Повысить качество корпоративной отчетности, но при этом подорвать доверие кредиторов – как такое возможно? Чем активнее компании используют ИИ в подготовке своих отчетов, тем неохотнее банки выдают им кредиты и тем выше ставка по кредиту, выяснили китайские экономисты на данных китайских публичных компаний. Переход от минимального к максимальному использованию ИИ в выборке увеличивает ставку по кредиту почти на трет

👍11🔥1022😁1

28 Jul 2026, 10:42 UTC≈8,520 views35 reactionsread 14 August 2026

ИИ способен кардинально изменить экономическую науку в ближайшие десятилетия. Президент CEPR Беатрис Ведер ди Мауро выделяет три движущие силы этих изменений: 🔘 «Инволюция» в науке. ИИ уже умеет неплохо писать добротные научные статьи. Поток публикаций растет, а топовых журналов мало. Бессмысленная конкуренция будет истощать ученых, не создавая новых знаний. А «сигнал» о ценности работы сместится с текста статьи на

👍157👏4🤔3👎2💯2🔥2

24 Jul 2026, 08:54 UTC≈4,130 views61 reactionsread 14 August 2026

Экономика учит, что деньги взаимозаменяемы. Рубль из зарплаты равен рублю из кешбэка. Однако поведенческая экономика утверждает обратное. Согласно концепции ментального учета, разработанной Ричардом Талером, деньги из разных источников и для разных расходов имеют для человека разную субъективную ценность: 🔘 Люди мысленно распределяют деньги по разным «счетам»: зарплата – «серьезные деньги», на важные расходы; кешбэ

🔥29👍13🦄108🤔1

Showing the 12 most recent of 23 posts we hold for @Econsonline. 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 — 66,662 of 1,350,102entries 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 4 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.

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.

Банк России
@centralbank_russia · 245,104
Telegram ranks this channel #33 of 92 here — alongside 91 others — read 11 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“ECONS” (@Econsonline), 13,130 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Econsonline.

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.