Григорий Баженов - к.э.н., научный сотрудник ЭФ МГУ, препод ВШЭ. Веду блог об экономике.
Макро, экон. история, экономика стран
Сотрудничество: @Oneggin @ads_alina @bajenof
РКН: https://gosuslugi.ru/snet/67afd0aa6411ff7853910712
Реклама ≠ рекомендация.
Created
27 September 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 69% 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.
Growth
61 measurements spanning 97 days, net -410. 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 28,123–28,656 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
10 Nov 2026, 17:50
28,184
-13
9 Nov 2026, 08:09
28,197
-2
7 Nov 2026, 23:17
28,199
-2
6 Nov 2026, 21:41
28,201
-3
5 Nov 2026, 21:56
28,204
-2
4 Nov 2026, 20:10
28,206
+2
3 Nov 2026, 21:51
28,204
+1
1 Nov 2026, 19:26
28,203
-4
31 Oct 2026, 21:29
28,207
-2
30 Oct 2026, 19:58
28,209
-4
29 Oct 2026, 17:37
28,213
-8
28 Oct 2026, 15:37
28,221
-3
27 Oct 2026, 17:28
28,224
-7
25 Oct 2026, 19:58
28,231
-3
24 Oct 2026, 19:08
28,234
-5
23 Oct 2026, 15:47
28,239
-12
22 Oct 2026, 15:57
28,251
-15
21 Oct 2026, 10:16
28,266
-4
20 Oct 2026, 07:40
28,270
-16
19 Oct 2026, 09:19
28,286
first reading
Engagement
77 posts held, back to 7 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 162 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
24.4%
avg views ÷ 28,184 subscribers
Avg views / post
6,880
16 posts measured
Reaction rate
1.26%
reactions ÷ views · ER floor
Posts in window
16
of 77 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
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
77 (7 July 2026 – 10 November 2026)
Views total
110,150
Reactions total
1,392
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 14:00 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
≈1,300
Videos
≈139
Links
≈1,810
Lifetime counters from Telegram’s own channel header, read 11 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
4h 26m
Average length
29m 35s
Measured directly from 9 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.
Reaction mix
7,140 reactions across 77 posts, in 17 distinct kinds. The most used accounts for 35.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
2,496
35.0%
❤
1,726
24.2%
🔥
983
13.8%
custom 5224708023435404637
775
10.9%
👍
492
6.89%
🥰
121
1.69%
🍾
110
1.54%
💯
81
1.13%
🫡
77
1.08%
🤔
70
0.98%
✍
65
0.91%
👎
50
0.7%
👏
41
0.574%
🤷♂
24
0.336%
😎
20
0.28%
🤩
7
0.098%
custom 5386776488341160794
2
0.028%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 77 of the 77 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 7,140 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 77 most recent posts we hold, published 7 July 2026 to 10 November 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.
Telegram Stars
Stars received
27
across the posts below
Posts paid on
1
of 77 we hold a reading for · 1%
Most on one post
27
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @furydrops. 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 77 most recent posts we hold for this entry, published 7 July 2026 to 10 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
2.60%
2 of 77 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
2,950
over 2 measured posts
Median views · rest
7,690
over 75 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. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzqwP9ZY1
1
22 October 2026
22 October 2026
CQH36pWzJqVJCAGJgtUdbBhUh6ybmVxhDdgeguubYFfjuP
1
10 November 2026
10 November 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 77 most recent posts we hold, published 7 July 2026 to 10 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: 3 of 16 posts held from the last 30 days (18.8%) 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).
Чем заканчивались научные споры в средневековье? Отнюдь не баном в комментариях…
Астроном Тихо Браге поспорил с троюродным братом, кто лучше разбирается в математике. Дошло до дуэли, на которой Браге лишился кончика носа.
Моё увожение к научной дискуссии.
Историю узнал из канала «Зачем мне эта математика?». Кроме таких сюжетов, там решают задачи, говорят о влиянии вездесущего ИИ и показывают, как математика шифруе…
Турецкий ответ диктатору Мбаппе - генсек, предсовнарком, предсовмин и генерелассимус Батраков.
Лёшу в Локо болельщики называют маленьким принцем, некоторые фаны Галатасарая русским князем, но слопа, как на пикрил, гораздо больше. Призрак коммунизма все никак не успокоится: пришли как-то tovarisch, bolshevik и apparatchik в Politburo, хотели про glasnost узнать, а там nomenklatura в ushanka на двух стульях сидит, тре…
А всего-то нужно было сидеть тихо и не бухтеть. Была же инфа от знающего человека, а мы и не верили!
https://t.me/gus_vasili/8212
Кстати, неудивительно, что не поверили тогда. Михаил Хазин все это время был Евгением.
Новая траектория ключевой ставки в прогнозе Банка России предполагает снижение до 11.25% к концу 2027 и до 8.25% к концу 2028.
(простите, но как-то сложно все это комментировать иначе, как мемами)
Алё, бизнес! Ну как там с деньгами? 💸
Если ответ «не очень» — не переживайте! Мы не будем предлагать вам запустить ещё больше рекламы)
Сначала давайте разберёмся, что вообще происходит с бизнесом. Что с продуктом? Клиентами? Продажами? Экономикой? Куда уходят деньги и почему их ну никак не становится больше?
А уже потом решим, нужен ли вам вообще маркетинг. Иногда после всех разборов приходится сказать: «Ребят, не…
Первый научный праздничный прожекторрайангослинг!
Сегодня в 21:10 обсудим Нобелевскую премию по экономике и отпразднуем мой День рождения! Подключайтесь!
Если хотите, чтобы я дал свои гениальные ответы, присылайте ваши бриллиантовые вопросы сюда: https://dalink.to/bajenof
Или сюда: https://www.donationalerts.com/r/bajenof
А стрим здесь: https://youtube.com/live/gmy4_kx0SAc
Upd. Стрим блокировали из-за авторских …
❤55custom 522470802343540463716🔥8🥰3👏1
Showing the 12 most recent of 77 posts we hold for @furydrops. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@furydrops edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
12 October 2026
Most recent edit
24 October 2026
Posts recorded as deleted after publishing
We recorded 6 posts on @furydrops as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
21 August 2026
Most recent seen missing
9 October 2026
Median time before seen missing
9 days
Seen missing in the last 30 days
0
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 107%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 77 most recent posts we hold, published 7 July 2026 to 10 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 31 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.
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.
BBC News | Русская служба @bbcrussian · 388,911#81
Read from Telegram’s recommendation API, most recently 9 September 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 · 50,922 Telegram ranks this channel #6 of 94 here — alongside 93 others — read 25 August 2026
Politeconomics @politeconomics · 20,981 Telegram ranks this channel #15 of 91 here — alongside 90 others — read 25 September 2026
Деньги24 @M24_Dengi · 36,649 Telegram ranks this channel #15 of 94 here — alongside 93 others — read 1 September 2026
Василий Тополев @vasil_topolev · 44,513 Telegram ranks this channel #17 of 84 here — alongside 83 others — read 28 August 2026
Proeconomics @proeconomics · 68,791 Telegram ranks this channel #17 of 96 here — alongside 95 others — read 20 August 2026
Простая экономика @prostoecon · 303,143 Telegram ranks this channel #17 of 95 here — alongside 94 others — read 12 August 2026
Михаил Светов (Комитет по Этике) @mrlibertarian · 29,849 Telegram ranks this channel #27 of 74 here — alongside 73 others — read 7 September 2026
Гусь Василий под тополем @gus_vasili · 38,126 Telegram ranks this channel #30 of 76 here — alongside 75 others — read 31 August 2026
📚 Доказательное Инвестирование @invest_science_channel · 38,572 Telegram ranks this channel #35 of 97 here — alongside 96 others — read 31 August 2026
Redroom Text @redroomtext · 75,870 Telegram ranks this channel #36 of 92 here — alongside 91 others — read 19 August 2026
Роман Юнеман @big3russia · 27,215 Telegram ranks this channel #39 of 82 here — alongside 81 others — read 11 September 2026
Больше, чем экономика @economylive · 670,208 Telegram ranks this channel #39 of 97 here — alongside 96 others — read 12 August 2026
One Big Union @one_big_union · 20,018 Telegram ranks this channel #40 of 94 here — alongside 93 others — read 30 September 2026
Киты плывут на вписку с ЛСД @whalesgohigh · 61,504 Telegram ranks this channel #47 of 86 here — alongside 85 others — read 22 August 2026
Русский экономизм @russianeconomism · 76,655 Telegram ranks this channel #50 of 96 here — alongside 95 others — read 15 September 2026
Александр Штефанов @alexandrshtefanov · 205,137 Telegram ranks this channel #52 of 88 here — alongside 87 others — read 12 August 2026
Прогревочная @progrevg1 · 22,609 Telegram ranks this channel #53 of 76 here — alongside 75 others — read 20 September 2026
Data distributor @sterngang · 21,175 Telegram ranks this channel #60 of 90 here — alongside 89 others — read 2 October 2026
Тупа кволити контент @skazochnoebalie · 22,758 Telegram ranks this channel #60 of 63 here — alongside 62 others — read 19 September 2026
CONWAY @conway671games · 47,472 Telegram ranks this channel #60 of 68 here — alongside 67 others — read 28 August 2026
Хулиномика @hoolinomics · 98,609 Telegram ranks this channel #61 of 97 here — alongside 96 others — read 16 August 2026
Мастриды @mustreads · 44,968 Telegram ranks this channel #62 of 98 here — alongside 97 others — read 27 August 2026
RationalAnswer | Павел Комаровский @RationalAnswer · 110,207 Telegram ranks this channel #65 of 98 here — alongside 97 others — read 15 August 2026
Твердые цифры @xtxixty · 20,209 Telegram ranks this channel #67 of 94 here — alongside 93 others — read 28 September 2026
This channel appears in 39 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.
Cross-platform identity — Wikidata
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.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Григорий Баженов” (@furydrops), 28,184 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/furydrops.
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.