National news — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 64% 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
62 measurements spanning 93 days, net +6,076. 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 47,123–55,182 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
6 Nov 2026, 17:55
54,229
-3
4 Nov 2026, 00:36
54,232
-5
2 Nov 2026, 22:11
54,237
-14
1 Nov 2026, 18:49
54,251
-1
31 Oct 2026, 18:38
54,252
+10
30 Oct 2026, 20:51
54,242
-7
29 Oct 2026, 23:20
54,249
+72
29 Oct 2026, 02:08
54,177
+21
28 Oct 2026, 00:20
54,156
-14
27 Oct 2026, 02:09
54,170
-5
26 Oct 2026, 00:45
54,175
-1
24 Oct 2026, 21:10
54,176
+2
23 Oct 2026, 21:05
54,174
-3
22 Oct 2026, 23:29
54,177
-16
21 Oct 2026, 21:36
54,193
-12
20 Oct 2026, 15:48
54,205
+47
19 Oct 2026, 13:39
54,158
+14
18 Oct 2026, 12:28
54,144
+2
17 Oct 2026, 13:08
54,142
-5
16 Oct 2026, 12:08
54,147
first reading
Engagement
520 posts held, back to 4 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 189 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
35.8%
avg views ÷ 54,229 subscribers
Avg views / post
19,400
97 posts measured
Reaction rate
5.21%
reactions ÷ views · ER floor
Posts in window
97
of 520 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 6 November 2026
Posts held
520 (4 August 2026 – 6 November 2026)
Views total
1,881,190
Reactions total
97,940
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 14:08 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
Video runtime
1h 10m
Average length
57s
Measured directly from 74 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
463,976 reactions across 511 posts, in 69 distinct kinds. The most used accounts for 20.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤬
93,154
20.1%
🤡
79,860
17.2%
👍
50,375
10.9%
🤣
49,267
10.6%
😁
48,429
10.4%
💯
27,297
5.88%
🤮
18,293
3.94%
🤔
17,875
3.85%
🔥
15,931
3.43%
❤
8,593
1.85%
😡
7,627
1.64%
💩
6,239
1.34%
👏
5,112
1.10%
😱
4,504
0.971%
💊
3,901
0.841%
🤯
3,281
0.707%
🙈
3,118
0.672%
😢
2,455
0.529%
🤷♂
2,370
0.511%
🥴
1,746
0.376%
49 further kinds
14,549
3.14%
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 520 of the 520 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 471,190 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 520 most recent posts we hold, published 4 August 2026 to 6 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
140
across the posts below
Posts paid on
50
of 520 we hold a reading for · 10%
Most on one post
40
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mgnzecon. 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 520 most recent posts we hold for this entry, published 4 August 2026 to 6 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 97 posts held from the last 30 days (2.06%) 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).
Поразительно, как они в заголовке называют это мерами поддержки семей
И главное зачем лишать молодых семей итак скудных мер поддержки? По данным минфина, мера сбережёт 12 миллиардов рублей федерального бюджета. Для бюджета это ничто, зато реальные люди, молодые семьи, где родители тяжело работают и пытаются выживать в сложных условиях, этих денег не получат, а они им очень нужны, потому что с рождением ребёнка появл…
SpaceX уже второй раз нырнул ниже цены IPO ($135), остальные бигтехи тоже валятся.
Зато растут американские госбонды, доходности десятилеток упали с максимумов почти на 0.5%.
Подписаться | Предложить новость
Минфин нарастит покупки валюты ноябре
С 9 ноября по 4 декабря Минфин купит валюту и золото в рамках бюджетного правила на 391,16 млрд рублей. Ежедневный объем покупок составит в итоге 15,6 млрд рублей. Для понимания, в октябре Минфин покупал валюту на 12,7 млрд в день.
Также ЦБ параллельно ежедневно до конца года продает валюту на 0,58 млрд.
В итоге, нетто-покупки составят 15,02 млрд в день против 12,12 млрд месяц…
Таджик Лутфуллоев мог стать новым крупным акционером девелопера «Самолет»
Об этом сообщил Forbes со ссылкой на источники.
В конце июля 2026 года крупнейшим владельцем «Самолета» с долей в 18% стал Fonte Inceptia Alpha Fund OEIC Limited, которому свои акции передал фонд наследников бывшего акционера Михаила Кенина «Горизонт». Однако к октябрю доля владения Fonte Inceptia Alpha Fund сократилась до нуля, пишут, что её…
Цены на нефть упали почти на 10% за день. Лидер демократов в Сенате Чак Шумер пообещал закончить войну в Иране.
Он говорит, что эпоха Трампа закончилась. Верим или воздух?
Подписаться | Предложить новость
Роботы-гуманоиды Xiaomi впервые отработали 8 часовую смену на заводе.
Роботы CyberOne 02 впервые справилась с объемом работы, рассчитанным на полную дневную смену. Во время испытания робот также самостоятельно исправлял возникающие ошибки и взаимодействовал с производственной линией.
Подписаться | Предложить новость
На фоне падения на всех мировых рынках — рекордный спрос на государственные облигации США
Министерство финансов США продало рекордные 839 млрд долларов долговых обязательств за одну неделю. Это побило предыдущий рекорд в 834 млрд.
Подписаться | Предложить новость
Картинка для тех кто считает, что банки зарабатывают на высоких ставках
Данные из МСФО Сбера за 3 квартал 2026.
Чистые процентные доходы Сбера за последний год растут в основном за счёт того, что банк меньше платит по средствам клиентов. Средняя доходность кредитного портфеля Сбера — около 15%, а срочные вклады физлиц обходятся Сберу примерно в 11% годовых. Продолжают работу.
Подписаться | Предложить новость
Самые богатые россияне с начала 2026 года обеднели сразу на $24,56 млрд
Об этом свидетельствуют данные "Индекса миллиардеров" от агентства Bloomberg:
— Наибольшее снижение зафиксировано у президента "Норникеля" Владимира Потанина – на $8,1 миллиарда, до $21,6 миллиарда;
— Состояние основателя Telegram Павла Дурова* сократилось на $2,61 миллиарда, до $12,1 миллиарда;
— У Михаила Прохорова капитал уменьшился на $4,…
Более тысячи золотых слитков и монет изъяли у экс-председателя Краснодарского краевого суда Александра Чернова.
В апреле 2026 года, суд обратил в доход государства имущество семьи Чернова почти на 1 миллиард рублей.
Среди изъятых активов по делу о незаконной предпринимательской деятельности - 36 килограмм золота в слитках и монетах, шесть земельных участков, 106 нежилых помещений - и два жилых дома.
Подписаться | …
🤬1,140🔥165🙈116😱46👍32🤣31😁17❤12
Showing the 12 most recent of 520 posts we hold for @mgnzecon. 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.
Posts recorded as deleted after publishing
We recorded 4 posts on @mgnzecon 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
13 August 2026
Most recent seen missing
7 October 2026
Median time before seen missing
34 hours
Seen missing in the last 30 days
0
Polls
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is 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 520 most recent posts we hold, published 4 August 2026 to 6 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 33 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@mgnzecon named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@mnogonazi named in 16 posts, 31 August 2026 – 30 October 2026 · confirmed gone 18 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Многонационал. Экономика” (@mgnzecon), 54,229 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/mgnzecon.
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.
