Telegram RegisterThe public register of Telegram

Channel

Kartaev Macro

@kartaevmacro

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

1,648subscribers

+6 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003070266434
TypeChannel
Username@kartaevmacro
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/kartaevmacro

Growth

1,6421,6481,6457 August 2026 — 1,642 subscribers7 August 2026 — 1,642 subscribers8 August 2026 — 1,644 subscribers11 August 2026 — 1,645 subscribers15 August 2026 — 1,648 subscribers7 August 202615 August 2026
5 measurements spanning 8 days, net +6. 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 1,641–1,649 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 10:081,648+3
11 Aug 2026, 15:441,645+1
8 Aug 2026, 16:011,644+2
7 Aug 2026, 21:031,642no change
7 Aug 2026, 18:021,642first reading

Engagement

14 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
72.8%
avg views ÷ 1,648 subscribers
Avg views / post
1,200
6 posts measured
Reaction rate
3.04%
reactions ÷ views · ER floor
Posts in window
6
of 14 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 7 August 2026
Posts held14 (1 July 20267 August 2026)
Views total7,200
Reactions total219
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 21:03 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.

Reaction mix

624 reactions across 14 posts, in 19 distinct kinds. The most used accounts for 46.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
29146.6%
🔥13922.3%
👍9915.9%
❤‍🔥182.88%
💘172.72%
🥴111.76%
💅81.28%
60.962%
👀60.962%
🗿60.962%
💯50.801%
🤝40.641%
💊30.481%
🤔30.481%
🏆20.321%
😐20.321%
🙏20.321%
🆒10.16%
🕊10.16%

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 14 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 624reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 1 July 2026 to 7 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

7 Aug 2026, 15:16 UTC603 views45 reactionsread 7 August 2026

Я в этом году обещал писать про поведенческую макроэкономику (и, кстати, вполне выполняю обещание). Тут как раз хороший повод: С 24 августа по 6 сентября пройдет бесплатная онлайн-школа по современным методам в поведенческой экономике и финансах, подробная программа доступна здесь Школу делает команда энтузиастов из МГУ имени М.В. Ломоносова, НИУ ВШЭ, МФТИ, Университета Боккони, EPFL, Банка России, Сбера и Т-Банка.

💘17🥴9🔥6👍53🗿3💊2

4 Aug 2026, 05:39 UTC≈1,150 views45 reactionsread 7 August 2026
Photo

Разгадка «загадки цен» (часть 3 из 3) Чтобы оценить влияние изменения ключевой ставки на инфляцию, стоит учесть влияние прочих важных факторов, динамика которых также связана с инфляцией и процентными ставками. В одной из самых цитируемых ранних работ нобелевского лауреата Симса (Sims, 1992) применен метод векторной авторегрессии (VAR) к данным США, Японии и некоторых европейских стран. Планируя оценить работу проц

24👍12🔥6👀2💊1

4 Aug 2026, 05:25 UTC864 views39 reactionsread 7 August 2026
Photo

Разгадка «загадки цен» (часть 2 из 3) Чтобы проиллюстрировать абсурдность вывода на основе одной картинки, можно привести этот график. Он отражает связь между количеством судей всех уровней в штате Индиана и количеством просмотров сериала Теория большого взрыва. Коэффициент корреляции между этими переменными примерно равен 0,9, что свидетельствует об очень тесной связи. Но вряд ли кто-то будет всерьез утверждать, чт

16👍8🔥7💯5🏆2🗿1

4 Aug 2026, 05:18 UTC883 views37 reactionsread 7 August 2026
Photo

Разгадка «загадки цен» (часть 1 из 3) В соответствии с механизмом процентного канала увеличение ключевой ставки замедляет инфляцию. На этот механизм опирается Банк России и другие центральные банки при принятии решений по денежно-кредитной политике. Логика работы процентного канала такова: увеличение процентной ставки снижает совокупный спрос, что ведет к падению равновесного уровня цен. Тем не менее, такая логика

25👍8🔥3🗿1

20 Jul 2026, 15:39 UTC≈2,350 views25 reactionsread 7 August 2026

Очень содержательная серия аж из пяти постов от Unexpected Value по поводу предстоящего решения Банка России по ставке. Зарепостил только первый, но к прочтению советую все пять

🔥20👍5

20 Jul 2026, 15:37 UTC≈1,350 views28 reactionsread 7 August 2026
Forwarded from @unexpectedvaluePhoto

Текущий топливный шок не является стандартным разовым фактором, и у Банка России нет очевидной стратегии, как на него реагировать Вы, наверное, заметили, но инфляция в 2026 году как-то не складывается вблизи таргета Сначала были разовые факторы в виде НДС, туризма и овощей, потом разовые факторы в виде топливного шока из-за перекрытия Ормуза, потом разовый фактор в виде топливного шока из-за прилетов по НПЗ (а еще

22👍6

15 Jul 2026, 07:47 UTC≈1,690 views50 reactionsread 7 August 2026
Photo

Такие категории, как доверие к регуляторам или настроение общества, являются довольно абстрактными, поэтому на первый взгляд вовсе не очевидно, что макроэкономистам следует их моделировать. Тем не менее, модели, опирающиеся на оценку этих настроений (так называемый сентимент), способны приносить вполне конкретную практическую пользу: уточнять прогнозы макроэкономических и финансовых переменных, помогать лучше понимат

26🔥126👍2🥴2💅1🗿1

10 Jul 2026, 07:27 UTC≈1,830 views36 reactionsread 7 August 2026

Выходят ли из моды прогнозы траектории ключевой ставки? Выше я писал, что новый председатель ФРС Кевин Уорш скептически относится к публикации центральными банками прогнозов. А теперь ещё и глава Европейского центрального банка (ЕЦБ) Кристин Лагард высказалась в том же духе, заявив: «In times of uncertainty, forward guidance loses its value». Автоматический переводчик предлагает такой вариант этой фразы на русском:

🔥2011👍5

9 Jul 2026, 09:35 UTC≈4,450 views51 reactionsread 7 August 2026
Photo

Побеседовал на РБК про инфляцию и заодно поддержал позицию Александра Исакова с коллегами по поводу совершенствования бюджетного правила. https://youtu.be/5U4kw_rB1Pk https://vkvideo.ru/video-210986399_456245563

28👍11🔥7💅3🕊1🙏1

8 Jul 2026, 05:10 UTC≈1,570 views27 reactionsread 7 August 2026

Вместе с Павлом Бирюковым обсудили состояние отраслей российской экономики у Андрея Ванина на Радио РБК Запись эфира можно послушать тут: https://investhourrbc.mave.digital/ep-214 https://www.rbc.ru/radio/07/07/2026/6a4d2a619a7947f844f9d4bc

16👍7🔥3🙏1

6 Jul 2026, 09:34 UTC≈1,800 views34 reactionsread 7 August 2026

Планировал написать обзор сессии, где участвовал, но удачно оказалось, что эту работу за меня уже сделали «Ведомости»: https://www.vedomosti.ru/economics/articles/2026/07/03/1211090-tsb-i-ekonomisti-obsudili?utm_source=yxnews&utm_medium=mobile&utm_referrer=https%3A%2F%2Fdzen.ru%2Fnews%2Fsearch

22👍8👀4

3 Jul 2026, 18:48 UTC≈2,390 views87 reactionsread 7 August 2026
Photo

Выступил на Финансовом конгрессе на сессии «Две опоры макроэкономической стабильности». Имелись в виду бюджетно-налоговая политика и денежно-кредитная политика. После в кулуарах подошла Наталья Васильевна Зубаревич и сказала, что ей понравилось. Значит все было не зря! PS: Видеозаписи всех сессий можно найти здесь. Кроме нашей там еще много всего интересного. Среди того, что я успел посетить вживую, мой личный топ

49🔥18❤‍🔥11👍9

Showing the 12 most recent of 14 posts we hold for @kartaevmacro. 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 — 382,604 of 1,478,351entries 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

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.

Mentions

Named by 1 registered channel — 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.

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

“Kartaev Macro” (@kartaevmacro), 1,648 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/kartaevmacro.

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.