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Channel

Proeconomics

@proeconomics

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Stars · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

68,730subscribers

+341 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001364672287
TypeChannel
Username@proeconomics
DescriptionМакроэкономика, финансы, тренды, аналитика. Реклама @Kursistka @netovetz Регистрация в РКН №4830975469
Created10 December 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held58
Confirmed unchanged3 times, most recently 6 November 2026
On Telegramt.me/proeconomics

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 66% 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@proeconomics/20080 · this entry5 Aug 2026, 14:47 UTC@business_geny/32045 Aug 2026, 14:48 UTC1.002 minutes
@proeconomics/20081 · this entry6 Aug 2026, 09:58 UTC@business_geny/32076 Aug 2026, 10:01 UTC1.004 minutes
@proeconomics/20086 · this entry6 Aug 2026, 13:04 UTC@business_geny/32086 Aug 2026, 13:06 UTC1.002 minutes
@proeconomics/20090 · this entry7 Aug 2026, 09:33 UTC@business_geny/32167 Aug 2026, 09:39 UTC1.005 minutes
@proeconomics/20093 · this entry7 Aug 2026, 15:00 UTC@business_geny/32227 Aug 2026, 15:13 UTC1.0013 minutes
@proeconomics/20094 · this entry7 Aug 2026, 18:29 UTC@business_geny/32237 Aug 2026, 18:34 UTC1.005 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@business_geny6 (6/6 hand-verifiable sample passed)1.004 minutesthis entry (6–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 30 comparable posts for this entry, running 2 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @proeconomics — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

68,32568,73068,527.55 August 2026 — 68,389 subscribers6 August 2026 — 68,389 subscribers6 August 2026 — 68,374 subscribers7 August 2026 — 68,371 subscribers8 August 2026 — 68,368 subscribers9 August 2026 — 68,370 subscribers10 August 2026 — 68,360 subscribers11 August 2026 — 68,352 subscribers12 August 2026 — 68,332 subscribers13 August 2026 — 68,329 subscribers14 August 2026 — 68,325 subscribers16 August 2026 — 68,364 subscribers17 August 2026 — 68,388 subscribers18 August 2026 — 68,385 subscribers19 August 2026 — 68,381 subscribers20 August 2026 — 68,398 subscribers23 August 2026 — 68,396 subscribers24 August 2026 — 68,381 subscribers25 August 2026 — 68,384 subscribers26 August 2026 — 68,366 subscribers27 August 2026 — 68,364 subscribers28 August 2026 — 68,385 subscribers29 August 2026 — 68,393 subscribers30 August 2026 — 68,409 subscribers31 August 2026 — 68,399 subscribers1 September 2026 — 68,386 subscribers2 September 2026 — 68,391 subscribers4 September 2026 — 68,387 subscribers6 September 2026 — 68,371 subscribers9 September 2026 — 68,343 subscribers12 September 2026 — 68,335 subscribers13 September 2026 — 68,377 subscribers15 September 2026 — 68,376 subscribers17 September 2026 — 68,378 subscribers26 September 2026 — 68,532 subscribers4 October 2026 — 68,595 subscribers9 October 2026 — 68,601 subscribers13 October 2026 — 68,651 subscribers14 October 2026 — 68,671 subscribers15 October 2026 — 68,672 subscribers16 October 2026 — 68,713 subscribers17 October 2026 — 68,705 subscribers18 October 2026 — 68,710 subscribers19 October 2026 — 68,709 subscribers20 October 2026 — 68,697 subscribers21 October 2026 — 68,687 subscribers22 October 2026 — 68,691 subscribers23 October 2026 — 68,689 subscribers24 October 2026 — 68,691 subscribers25 October 2026 — 68,701 subscribers26 October 2026 — 68,690 subscribers29 October 2026 — 68,705 subscribers30 October 2026 — 68,691 subscribers31 October 2026 — 68,696 subscribers1 November 2026 — 68,704 subscribers2 November 2026 — 68,705 subscribers3 November 2026 — 68,710 subscribers4 November 2026 — 68,730 subscribers5 August 20264 November 2026
58 measurements spanning 91 days, net +341. 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 68,264–68,791 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)SubscribersChange
4 Nov 2026, 23:2668,730+20
3 Nov 2026, 21:4768,710+5
2 Nov 2026, 22:0768,705+1
1 Nov 2026, 22:2068,704+8
31 Oct 2026, 20:1968,696+5
30 Oct 2026, 23:0868,691-14
29 Oct 2026, 04:2768,705+15
26 Oct 2026, 23:3668,690-11
25 Oct 2026, 22:5168,701+10
24 Oct 2026, 21:5668,691+2
23 Oct 2026, 18:3768,689-2
22 Oct 2026, 21:5168,691+4
21 Oct 2026, 21:2168,687-10
20 Oct 2026, 16:2068,697-12
19 Oct 2026, 14:4968,709-1
18 Oct 2026, 12:4668,710+5
17 Oct 2026, 15:1768,705-8
16 Oct 2026, 15:1568,713+41
15 Oct 2026, 17:2868,672+1
14 Oct 2026, 19:5668,671first reading

Engagement

528 posts held, back to 2 August 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 188 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
14.4%
avg views ÷ 68,730 subscribers
Avg views / post
9,910
142 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
142
of 528 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. It is computed over the 4 of 142 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 November 2026
Posts held528 (2 August 2026 – 7 November 2026)
Views total1,406,690
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 20:37 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
≈10,600
Videos
≈62
Links
≈4,530

Lifetime counters from Telegram’s own channel header, read 7 November 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.

Video runtime
2m 42s
Average length
41s

Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Telegram Stars

Stars received
89
across the posts below
Posts paid on
14
of 528 we hold a reading for · 3%
Most on one post
53
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @proeconomics. 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 528 most recent posts we hold for this entry, published 2 August 2026 to 7 November 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.

Advertising

Ad load
0.947%
5 of 528 posts carry an ad marker
Regulatory tokens
5
posts carrying an erid · 5 distinct tokens
Median views · ads
6,410
over 5 measured posts
Median views · rest
7,130
over 523 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqvY7wB9128 August 202628 August 2026
2VtzqvvdSnX113 August 202613 August 2026
2W5zFHwG6Rf14 September 20264 September 2026
2W5zFJ8okMp127 October 202627 October 2026
2W5zFJGiKxD114 August 202614 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 528 most recent posts we hold, published 2 August 2026 to 7 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 4 of 142 posts held from the last 30 days (2.82%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

7 Nov 2026, 17:31 UTC≈3,340 viewsread 7 November 2026
Photo

Экономика Канады больше похожа на европейские экономики, особенно Франции или Бельгии. Или России. Экономический рост Канады обусловлен государственным долгом. С 2019 года экономика Канады выросла на 11,7%. При этом государственные инвестиции +22,9%, а инвестиции в бизнес только +2,7%. Госсектор или частно-государственные партнёрства растут, частный сектор - нет.

7 Nov 2026, 15:13 UTC≈4,340 viewsread 7 November 2026

В России сегодня много говорят о необходимости долгосрочного планирования, и вот Москва выходит на 6-летний план развития города, вместо прежнего 3-летнего. Адресная инвестиционная программа (АИП) Москвы теперь утверждена с 2026 по 2031 год. На 2027 год в бюджете развития, в том числе на АИП, предусмотрено почти 2,9 трлн руб. Долгосрочный план поможет рациональнее распорядиться финансами, занятостью рабочих коллекти…

7 Nov 2026, 12:39 UTC≈7,670 viewsread 7 November 2026
Photo

И в американской, и теперь в российской общественной среде существует устойчивый миф о «золотом времени 1950-60-х в США», когда якобы жизнь простых людей была наилучшей. Например, часть этого мифа – когда один работающий муж мог позволить купить дом и машину, содержать жену и троих детей. На самом деле такой стандарт распространялся не более, чем на 40% домохозяйств, а их подушевое потребление товаров и услуг было в …

6 Nov 2026, 17:52 UTC≈7,540 viewsread 7 November 2026
Photo

Военный конфликт в Ормузском заливе и ужесточение американских санкций привели к разрушительным последствиям для Ирана. Потребительская инфляция в Иране выросла примерно до 90% в годовом исчислении, что значительно выше предыдущих пиков около 50%, наблюдавшихся в 2019-20 и 2022 годах. Инфляция росла и до конфликта, но темпы её ускорения резко возросли с его начала. Курс риала находится в свободном падении. На откры…

6 Nov 2026, 14:52 UTC≈5,810 viewsread 7 November 2026
Photo

(к предыдущему посту, данные из того же исследования) Судя по упрощению рынка труда, упрощается и экономика России – ей больше не нужно столько офисного и административного персонала, т.е. белых воротничков. Основной спрос на низко- и среднеквалифицированный персонал: продавцы, работники на склад и на завод. Авторы исследования приводят пример: в среднем рабочему персоналу сейчас предлагают 120 тыс. руб., а юристу – …

6 Nov 2026, 14:41 UTC≈5,270 viewsread 7 November 2026

HR-эксперты Наталья Дарина и Марина Львова, исследование «Рынок труда. Осень 2026. Что изменилось с июня, что происходит с карьерой и чего ждать дальше»: «Российская модель: в кризис уменьшают зарплату и часы, а не людей. Как это было в кризис, 2015 год: реальная зарплата упала на 9%, а безработица выросла только на 0,4 п.п. Сейчас тот же сценарий: безработица стоит, а 80% компаний замораживают зарплаты».

6 Nov 2026, 12:50 UTC≈5,150 viewsread 7 November 2026

(продолжение предыдущего поста) Начальник аналитического отдела инвесткомпании «Риком-Траст», к.э.н. Олег Абелев: ЦБ просто сузил траекторию изменения ключевой ставки на следующий год. Прогнозный диапазон её на 2027-й сужается - среднее значение 13%. Всего лишь на 100 б. пунктов ниже, чем текущее. Пока нужно проводить жёсткую политику, тренды на рост инфляционных ожиданий остаются актуальными. Если инфляция будет …

6 Nov 2026, 12:46 UTC≈4,740 viewsread 7 November 2026

Повышение прогнозной траектории ключевой ставки на 2027-2028 годы позволит обеспечить возвращение инфляции к 4% в 2027 году, сообщается в резюме обсуждения ключевой ставки Банка России. Но как этот взгляд ЦБ соотносится с практикой, ведь он в течение всего 2026 года повышал прогнозы по траектории ключевой ставки, а инфляция в течение года только росла, достигнув более 7% к настоящему моменту? Сработает ли эта стратег…

6 Nov 2026, 11:28 UTC≈5,240 viewsread 7 November 2026

Интересный случай описывает «Зерно-онлайн», как розница торгует «социально (значимыми) продуктами» себе в убыток. По итогам 2026 года в России будет собран самый низкий за последние 12 лет урожай гречихи: «в 2026 году 728,8–841,7 тыс. т против 926 тыс. т в 2025 году». Оптовые цены на гречку росли в течение всего года, в сентябре она подорожала на 48%. Но в магазинах с гречкой всё обстояло иначе: «Примечательно, что …

6 Nov 2026, 10:03 UTC≈8,640 viewsread 7 November 2026
Photo

По предварительной оценке Frank RG, в октябре объём выданных кредитов физическим лицам сократился относительно сентября текущего года на 22,1% (-293,9 млрд руб. к сентябрю 2026). Объем кредитования составил 1 трлн 033,9 млрд рублей, что на 2,8% ниже, чем в октябре 2025 года. Такое снижение произошло в основном за счёт обвала ипотечного кредитования. Показатели октября 2026 на 49,2% ниже сентября 2026 года и на 36,2%…

5 Nov 2026, 17:43 UTC≈17,600 viewsread 7 November 2026
Photo

Одним из первых и главных последствий взятия под контроль Демпартией обеих палат Конгресса может быть приостановка строительства новых дата-центров. В зависимости от штатов, от 60 до 80% американцев выступают против строительства новых ЦОДов, и Демпартия намерена прислушаться к простым американцам. В среднесрочной перспективе наибольшей проблемой рынка может стать ИИ; почти все основные местные инициативы, направлен…

5 Nov 2026, 17:09 UTC≈14,200 viewsread 7 November 2026
Photo

Польша стала самой успешной развитой экономикой с 2019 года и по номинальному, и по подушевому росту. Впору говорить о «польском экономическом чуде», а вовсе не о китайском – особенно применительно к России, где власти и эксперты который год ищут, какую бы ролевую модель роста скопировать. Тем более что Польша социально-культурно гораздо ближе к России, чем Китай или Южная Корея. Один из пунктов польского роста – эт…

Showing the 12 most recent of 528 posts we hold for @proeconomics. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republished by 90 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

СТРАТАГЕМА
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14 posts
Толкователь
@tolk_tolk · 126,363
13 posts
Эксперт
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9 posts
Темы. Главное (ГлавМедиа)
@glavmedia · 77,060
7 posts
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@great_russia_forever · 42
7 posts
Градостроительство
@gradpotentsial · 37
5 posts
Давыдов.Экономика
@davydovineconomics · 1,065
4 posts
Климовский | экономь и инвестируй
@kliminvestor · 319
4 posts
Хомяк-инвестор
@Hamster_investor0 · 76
3 posts
Цена жизни
@Price_Life · 69
3 posts
AAMCR | all about macro
@aamacro · 1
3 posts
Деньги и песец
@moneyandpolarfox · 50,933
3 posts
Антропологика🧠💵🌍
@myAntropologica · 34
3 posts
Временное правительство 2.0
@neoreshkins · 28,817
3 posts
Управление Потоком Задач (УПЗ) для Управления Сложностью Организации (УСО). УПРАВЛЯЕМЫЙ МОДЕЛЬЮ МЕНЕДЖМЕНТ (УММ)
@potokzadach2022 · 159
3 posts
Девчонки с Тверской
@tverskaya13 · 18
3 posts
Александр Бобылев Народ
@AleksandrBobylev · 16,646
2 posts
ЭкономистUA
@EconomistUA · 213
2 posts
Klimanov.ru
@Klimanov_ru · 1,325
2 posts
Сергей Алексашенко
@NewsAboutCrisis · 14,401
2 posts
Экономика Brief
@briefeconomics · 6,531
2 posts
BusinesStat
@businestat · 598
2 posts
Экономический Обозреватель
@economicscolumnist · 340
2 posts
Экономика 24/7
@economika24_7 · 308,413
2 posts
Ингосстрах - Инвестиции
@ingosinvest · 2,482
2 posts
Экономичность ЭлектроХозяйств (ЭЭХ)
@kwexpert2022 · 18
2 posts
MATHEMAX
@mathemax · 36
2 posts
Подгорнов.Экспертиза
@npodgornov · 12,742
2 posts
Димитриев
@russ_orientalist · 129,246
2 posts
Siu
@siu1310 · 62
2 posts
Сплетни с рынка
@spletnymarket · 479
2 posts
Обычное необычное
@AvivaEnglish · 66
1 post
Буровая
@Burovaia · 40,832
1 post
CRC (Центр исследований и консалтинга)
@CeReCo · 103
1 post
Нейросети со Станиславом Киреевым
@ai_kireev · 1,776
1 post
Make Sense with Anastasia
@anastasia_make_sense · 91
1 post
Юрист Андрей Черников
@axiomaprolifehack · 723
1 post
БП онлайн
@bponline · 111,499
1 post
Brave New World
@bravenewworldblog · 244
1 post
Будьте здоровы! А.Редько
@budte_zdorovi_vse · 33,571
1 post
The Burgholzli Institute 🇨🇭
@burghoelzli · 2
1 post
Русские деньги
@cashruss · 118,306
1 post
Центр развития коммуникаций ТЭК
@center_esipova · 12
1 post
Инвестиции в монеты и драгметаллы
@coinsuniverse · 255
1 post
Блохи в свитере
@cyberfreek · 85,336
1 post
Доллар-прогноз
@dollar_hot · 4
1 post
Восточный ветер
@east_veter · 4,956
1 post
ЕБИТДА
@ebitdaebitda · 33,651
1 post

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 70 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.

Names

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

Инго Банк
@ingobankru · 23,099
25 posts
Столыпин 2.0
@stolypin2 · 35,936
25 posts
Климовский | экономь и инвестируй
@kliminvestor · 319
18 posts
Финам Инвестиции
@finam_invest · 27,051
14 posts
СТРАТАГЕМА
@stratagempro · 9,284
13 posts
Ингосстрах - Инвестиции
@ingosinvest · 2,482
10 posts
РИКОМ-ТРАСТ Инвестиции
@ricom_trast · 4,130
8 posts
Артем Кирьянов (ГД РФ)
@artem_kirianov · 7,100
7 posts
СВОЙ
@svoi_fintech_group · 328
7 posts
Эксперт РА
@expert_ra · 14,739
5 posts
Экономика | Глазами эксперта
@expertview_main · 323
5 posts
Klimanov.ru
@Klimanov_ru · 1,325
5 posts
Нефть и Капитал I Новости Нефтегазовой отрасли
@oil_capital · 22,296
5 posts
Владимир Кошелев
@koshelevvladimir · 34,461
4 posts
Мобилизационная экономика
@wareconomic · 12,000
4 posts
Вадим Попов Мнение
@popovopinionlive · 4,032
3 posts
DELYAGIN's special
@delyagin · 137,546
2 posts
Кадры. Деньги. Два блина
@hrwithpolarfox · 515
2 posts
Константин Двинский
@Kdvinsky · 29,814
2 posts
Алексей Куринный
@kurennyy · 4,786
2 posts
Мэр Москвы Сергей Собянин
@mos_sobyanin · 368,015
2 posts
Синара Инвестбанк
@sinara_finance · 6,245
2 posts
Заметки высокого директора
@zametkivysokogodirektora · 98
2 posts
Мастерская агротрендов | Николай Лычев
@agrofarming · 536
1 post

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Банкста
@banksta · 439,713
#1
Деньги и песец
@moneyandpolarfox · 50,933
#2
MarketTwits
@markettwits · 340,857
#3
Spydell_finance
@spydell_finance · 131,053
#4
Банки, деньги, два офшора
@bankrollo · 461,756
#5
MMI
@russianmacro · 102,047
#6
Экономика долгого времени
@longviewecon · 15,935
#7
Political Animals
@politicanimalis · 17,899
#8
ХОЛОДНЫЙ РАСЧЕТ ∅ 🇷🇺
@c0ldness · 13,912
#9
Коммерсантъ
@kommersant · 295,266
#10
Bloomberg
@BIoomberg · 72,930
#11
Хулиномика
@hoolinomics · 98,634
#12
Kedr to Earth | Земля, я Кедр
@kedr2earth · 10,129
#13
Мятежный капитализм
@moi_misli_vslukh · 13,060
#14
Politeconomics
@politeconomics · 20,973
#15
bitkogan
@bitkogan · 257,445
#16
Григорий Баженов
@furydrops · 28,201
#17
Angry Bonds
@angrybonds · 24,256
#18
ECWORLD: экономика, прогнозы
@ecworld · 64,575
#19
vc.ru
@vcnews · 112,173
#20
Графономика
@topinfographic · 20,124
#21
ФИНАНСОВЫЕ ДУМКИ
@MarketDumki · 52,273
#22
Грокс
@groks · 42,500
#23
Дизраптор
@disruptors_official · 72,566
#24
Киты плывут на вписку с ЛСД
@whalesgohigh · 61,516
#25
Dauphinois
@le_dauphinois · 6,706
#26
TruEcon
@truecon · 26,627
#27
Unexpected Value
@unexpectedvalue · 9,403
#28
Дерипаска
@olegderipaska · 116,058
#29
РынкиДеньгиВласть | РДВ
@AK47pfl · 114,509
#30
Ακαδημία
@akademia_space · 7,275
#31
Банк России
@centralbank_russia · 244,091
#32
Толкователь
@tolk_tolk · 126,363
#33
ЕЖ
@ejdailyru · 664,706
#34
Раньше всех. Ну почти.
@bbbreaking · 1,975,816
#35
Димитриев
@russ_orientalist · 129,246
#36
Mash
@mash · 3,142,546
#37
BRIEFLY RU
@brieflyru · 99,249
#38
РБК. Новости. Главное
@rbc_news · 914,343
#39
Медуза — LIVE
@meduzalive · 1,117,465
#40
НЕЗЫГАРЬ
@russicaru · 418,322
#41
Милитарист
@infantmilitario · 276,039
#42
Анатолий Шарий
@asupersharij · 1,735,583
#43
Китайская угроза
@daokedao · 98,808
#44
Ateo Breaking
@ateobreaking · 741,824
#45
RDVL
@Echtdevol · 14,183
#46
Интуиция подскажет
@intuition2036 · 37,673
#47
МИГ России
@mig41 · 477,158
#48
КОНТЕКСТ
@kontext_channel · 865,494
#49
The Moscow Times | Independent news from Russia since 1992
@moscowtimes_ru · 126,716
#50
Антонов такой Антонов
@auantonov · 321,779
#51
Образ будущего
@obrazbuduschego2 · 163,954
#52
The Bell
@thebell_io · 105,138
#53
КАШИН
@kashinguru · 75,113
#54
Vladimir Pastukhov
@v_pastukhov · 152,047
#55
SVTV NEWS — Либертарианское СМИ
@svtvnews · 112,450
#56
Forbes Russia
@forbesrussia · 235,517
#57
Кровавая барыня
@bloodysx · 1,173,265
#58
Резидент
@rezident_ua · 954,022
#59
headlines
@headlines_for_traders · 114,676
#60
aavst2022
@aavst2022 · 175,279
#61
Пул N3
@dimsmirnov175 · 331,207
#62
Readovka
@readovkanews · 2,011,567
#63
Alex Parker Returns
@apwagner · 313,472
#64
Сигналы РЦБ
@cbrstocks · 117,254
#65
Старше Эдды
@vysokygovorit · 485,341
#66
ЭКОНОМИСТ ИГОРЬ ЛИПСИЦ
@LipsitsIgor · 39,692
#67
ЗеРада
@zerada1 · 423,393
#68
Сталингулаг
@stalin_gulag · 297,933
#69
Галеев
@kamil_galeev · 18,668
#70
addmeto
@addmeto · 72,001
#71
Продукт Медиа
@producttoday · 13,065
#72
ASTRA
@astrapress · 350,160
#73
ТАСС
@tass_agency · 569,194
#74
Пездуза
@pezduzalive · 369,107
#75
Жизнь насекомых
@insect_life · 192,670
#76
Артемий Лебедев
@temalebedev · 968,890
#77
Легитимный
@legitimniy · 1,051,855
#78
Василий Тополев
@vasil_topolev · 44,525
#79
историк-алкоголик
@istrkalkglk · 123,388
#80
ЕЖ LAB
@ejlabru · 50,239
#81
Denis Sexy IT 🤖
@denissexy · 140,483
#82
Временное правительство 2.0
@neoreshkins · 28,817
#83
Экономика
@economika · 146,008
#84
кабачковая икра по акции
@sale_caviar · 192,628
#85
Минута в минуту
@minutavminutu · 167,195
#86
Россия в глобальной политике
@ru_global · 54,960
#87
лидер мнений среди удобрений
@lider · 175,755
#88
Baza
@bazabazon · 1,557,606
#89
Colonelcassad
@boris_rozhin · 751,554
#90
Двач
@dvachannel · 970,017
#91
BBC News | Русская служба
@bbcrussian · 388,888
#92
Политджойстик / Politjoystic ™
@politjoystic · 250,553
#93
Win-Win
@victorstepanych · 155,359
#94
Fighterbomber
@bomber_fighter · 525,743
#95
Военный Осведомитель
@milinfolive · 614,775
#96

Read from Telegram’s recommendation API, most recently 20 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Деньги и песец
@moneyandpolarfox · 50,933
Telegram ranks this channel #1 of 94 here — alongside 93 others — read 25 August 2026
Графономика
@topinfographic · 20,124
Telegram ranks this channel #2 of 96 here — alongside 95 others — read 29 September 2026
Politeconomics
@politeconomics · 20,973
Telegram ranks this channel #3 of 91 here — alongside 90 others — read 25 September 2026
Григорий Баженов
@furydrops · 28,201
Telegram ranks this channel #4 of 81 here — alongside 80 others — read 9 September 2026
Spydell_finance
@spydell_finance · 131,053
Telegram ranks this channel #4 of 92 here — alongside 91 others — read 13 August 2026
Алексей Кричевский | Экономизм
@economismrussia · 19,607
Telegram ranks this channel #5 of 89 here — alongside 88 others — read 1 October 2026
Бла-бла-номика
@blablanomika · 46,655
Telegram ranks this channel #5 of 97 here — alongside 96 others — read 2 September 2026
ЕБИТДА
@ebitdaebitda · 33,651
Telegram ranks this channel #6 of 98 here — alongside 97 others — read 4 September 2026
Столыпин 2.0
@stolypin2 · 35,936
Telegram ranks this channel #6 of 97 here — alongside 96 others — read 2 September 2026
Evening Prophet
@eveningprophet · 19,083
Telegram ranks this channel #7 of 94 here — alongside 93 others — read 5 October 2026
ИНФОГРАФ : Экономика и финансы
@infografo · 21,350
Telegram ranks this channel #7 of 93 here — alongside 92 others — read 23 September 2026
Русский экономизм
@russianeconomism · 76,866
Telegram ranks this channel #7 of 96 here — alongside 95 others — read 15 September 2026
Импорт в Россию
@proimport · 53,002
Telegram ranks this channel #8 of 90 here — alongside 89 others — read 24 August 2026
Пауки в банке
@bankuyte · 59,890
Telegram ranks this channel #10 of 95 here — alongside 94 others — read 16 August 2026
Капитал
@sgcapital · 19,124
Telegram ranks this channel #11 of 95 here — alongside 94 others — read 3 October 2026
Global Economics
@global_economics · 25,071
Telegram ranks this channel #11 of 80 here — alongside 79 others — read 28 September 2026
Karfagen
@karfagen_official_te · 35,331
Telegram ranks this channel #11 of 90 here — alongside 89 others — read 2 September 2026
Толкователь
@tolk_tolk · 126,363
Telegram ranks this channel #11 of 94 here — alongside 93 others — read 13 August 2026
ECWORLD: экономика, прогнозы
@ecworld · 64,575
Telegram ranks this channel #13 of 97 here — alongside 96 others — read 21 August 2026
MMI
@russianmacro · 102,047
Telegram ranks this channel #14 of 96 here — alongside 95 others — read 15 August 2026
ECWORLD NEWS
@ecworldnews · 27,723
Telegram ranks this channel #15 of 94 here — alongside 93 others — read 10 September 2026
Брошка Наебуллиной
@naebrosh · 41,764
Telegram ranks this channel #16 of 93 here — alongside 92 others — read 29 September 2026
TruEcon
@truecon · 26,627
Telegram ranks this channel #16 of 97 here — alongside 96 others — read 12 September 2026
Хулиномика
@hoolinomics · 98,634
Telegram ranks this channel #16 of 97 here — alongside 96 others — read 16 August 2026

This channel appears in 93 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“Proeconomics” (@proeconomics), 68,730 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/proeconomics.

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.