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Channel

Politeconomics

@politeconomics

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

21,005subscribers

-14 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001117685649
TypeChannel
Username@politeconomics
DescriptionMacroeconomics, MMT Купить рекламу: https://telega.in/c/politeconomics Реестр РКН: https://clck.ru/3HWUk4
Created24 March 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held6
Confirmed unchanged4 times, most recently 12 August 2026
On Telegramt.me/politeconomics

Growth

21,00521,02021,012.55 August 2026 — 21,019 subscribers6 August 2026 — 21,019 subscribers6 August 2026 — 21,020 subscribers7 August 2026 — 21,015 subscribers8 August 2026 — 21,013 subscribers9 August 2026 — 21,005 subscribers5 August 20269 August 2026
6 measurements spanning 3 days, net -14. 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 21,003–21,022 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 09:1121,005-8
8 Aug 2026, 07:0121,013-2
7 Aug 2026, 07:1321,015-5
6 Aug 2026, 07:2021,020+1
6 Aug 2026, 02:0521,019no change
5 Aug 2026, 22:2221,019first reading

Engagement

32 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
18.5%
avg views ÷ 21,005 subscribers
Avg views / post
3,900
32 posts measured
Reaction rate
1.95%
reactions ÷ views · ER floor
Posts in window
32
of 32 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 12 August 2026
Posts held32 (2 August 202612 August 2026)
Views total124,660
Reactions total2,429
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 23:17 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
4,880
Videos
375
Links
7,650

Lifetime counters from Telegram’s own channel header, read 12 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

1,827 reactions across 26 posts, in 13 distinct kinds. The most used accounts for 26.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🌚48626.6%
💯34819.0%
👍23112.6%
19210.5%
🔥1819.91%
🫡1779.69%
😢854.65%
🎉482.63%
❤‍🔥341.86%
🍾321.75%
👌60.328%
🙏40.219%
30.164%

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 32 of the 32 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 2,429reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 2 August 2026 to 12 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

12 Aug 2026, 17:14 UTC≈1,500 views35 reactionsread 12 August 2026
Photo

По оценке Росстата, ВВП России во 2кв26 вырос на 1,3% г/г. Министерство экономразвития оценивало рост в 0,9%.

🌚229😢4

12 Aug 2026, 16:45 UTC≈1,680 views17 reactionsread 12 August 2026
Forwarded from @mspiridonov

“Нейросеть захотела жить и начала шантажировать создателей” – заголовки такого сорта в последнее время выходят с завидной регулярностью. Мой новый гость в подкасте “Визионеры” реагирует на них пожатием плеч. Сергей Марков – директор по развитию технологий ИИ Сбербанка, архитектор GigaChat и автор главной русскоязычной монографии об ИИ “Охота на электроовец”. Пожалуй, самый невозмутимый технооптимист из всех, с кем я

🌚85👍4

12 Aug 2026, 06:34 UTC≈2,810 views146 reactionsread 12 August 2026
Photo

Посмотрим…

👍82🌚43💯12🫡5😢21👌1

12 Aug 2026, 05:38 UTC≈2,910 views48 reactionsread 12 August 2026

Китай сделал еще один шаг к интернационализации юаня Народный банк Китая впервые назначил европейский банк, Deutsche Bank, клиринговым банком по юаню во Франкфурте. До сих пор такие функции в Европе выполняли подразделения китайских госбанков. Financial Times⁠

30🌚10🔥8

11 Aug 2026, 11:23 UTC≈3,000 views25 reactionsread 12 August 2026
Forwarded from @Econsonline

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

👍16🌚54

11 Aug 2026, 09:54 UTC≈2,940 views66 reactionsread 12 August 2026
Photo

Маятник экономической политики. Он качнулся вниз от крайностей Вашингтонского консенсуса. Теперь движется вверх, к крайностям демократической социалистической повестки. Центристы, вроде меня, хотели бы остановить его где-то посередине. Но, боюсь, маятники так не работают. Центристы хотят и рыбку съесть, и на елку влезть.

💯47🌚17🔥2

11 Aug 2026, 07:13 UTC≈2,980 views21 reactionsread 12 August 2026
Forwarded from @truevaluePhoto

СБЕРЕЖЕНИЯ НАСЕЛЕНИЯ остаются на высоком уровне при любой ставке процента. Но их структура существенно меняется, в том числе под воздействием ставки и сигналов от ДКП. При снижении ставки уменьшились вложения в депозиты, увеличились - в облигации и наличные рубли. В июне-июле распродажа на фондовом рынке существенно снизили сбережения в ценных бумагах и фондах облигаций. Данные из обзора рисков финрынков подтвержда

14👍4🔥3

10 Aug 2026, 14:04 UTC≈9,220 views200 reactionsread 12 August 2026
Photo

Как похорошела Северная Корея при Ким Чен Ыне

🔥134👍30🌚21🫡11😢31

10 Aug 2026, 12:55 UTC≈3,160 views91 reactionsread 12 August 2026
Forwarded from @bbbreaking

❗️Если не планировать деньги на дороги, они быстро развалятся, и так с любой сферой — Путин

🫡45🌚28💯10🍾6👌1😢1

10 Aug 2026, 10:59 UTC≈3,540 views167 reactionsread 12 August 2026
Forwarded from @dataecons

Австралиец Эндрю поручил ИИ-агенту записать его на тренировку в спортзал. Агент подошел к задаче максимально ответственно, нашел уязвимость в системе бронирования, хакнул ее и удалил другого клиента из листа ожидания, чтобы освободить место своему владельцу. При этом сам пользователь ничего подобного ИИ не поручал.

🫡102🌚35🔥14❤‍🔥7👍4🍾32

10 Aug 2026, 08:31 UTC≈3,670 views29 reactionsread 12 August 2026
Forwarded from @centralbank_russia

📃 Банк России рекомендовал кредиторам поддержать предпринимателей, пострадавших от терактов Малые и средние предприятия, которые пострадали в результате террористических актов на территориях логистических центров, складских, производственных, торговых, офисных и других помещений, смогут обратиться за реструктуризацией своих кредитов и займов. Об этом говорится в информационном письме Банка России. Кредиторам рекоме

🌚235💯1

10 Aug 2026, 06:37 UTC≈3,870 views65 reactionsread 12 August 2026

Корпоративный энтузиазм вокруг AI-агентов столкнулся с экономикой их использования. Согласно опросу KPMG, 49% руководителей компаний уже сократили внедрение AI-агентов, потому что фактические расходы оказались выше ожидаемой отдачи.

🌚49👍13💯3

Showing the 12 most recent of 32 posts we hold for @politeconomics. 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 — 43,342 of 1,151,006entries 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 27 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

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

Names

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

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

“Politeconomics” (@politeconomics), 21,005 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/politeconomics.

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.