National news — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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 why it has no browse page of its own yet.
Growth
35 measurements spanning 62 days, net +16,038. 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 40,059–62,458 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
8 Oct 2026, 19:58
59,319
+210
4 Oct 2026, 09:18
59,109
-764
25 Sept 2026, 19:37
59,873
+4,255
17 Sept 2026, 07:59
55,618
-115
15 Sept 2026, 08:39
55,733
-134
13 Sept 2026, 16:39
55,867
+1,023
11 Sept 2026, 19:58
54,844
+254
9 Sept 2026, 09:37
54,590
+1,051
6 Sept 2026, 00:17
53,539
+2,025
3 Sept 2026, 21:19
51,514
+1,203
2 Sept 2026, 14:33
50,311
+1,022
1 Sept 2026, 12:57
49,289
+953
31 Aug 2026, 12:38
48,336
+1,014
30 Aug 2026, 09:46
47,322
+961
29 Aug 2026, 12:28
46,361
+894
28 Aug 2026, 13:33
45,467
+2,824
27 Aug 2026, 12:05
42,643
-30
26 Aug 2026, 15:07
42,673
-90
25 Aug 2026, 12:35
42,763
-81
24 Aug 2026, 10:24
42,844
first reading
Engagement
103 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 129 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
27.0%
avg views ÷ 59,319 subscribers
Avg views / post
16,000
46 posts measured
Reaction rate
0.903%
reactions ÷ views · ER floor
Posts in window
46
of 103 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 8 October 2026
Posts held
103 (2 August 2026 – 8 October 2026)
Views total
737,200
Reactions total
6,660
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Oct 2026, 06:04 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
234
Videos
33
Links
10
Lifetime counters from Telegram’s own channel header, read 9 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
4m 24s
Average length
20s
Measured directly from 13 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
21,434 reactions across 102 posts, in 14 distinct kinds. The most used accounts for 28.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
6,011
28.0%
🔥
5,981
27.9%
❤
5,910
27.6%
👌
1,633
7.62%
😱
424
1.98%
😢
423
1.97%
👎
414
1.93%
⚡
185
0.863%
💯
113
0.527%
👀
102
0.476%
✍
100
0.467%
👏
92
0.429%
🤯
36
0.168%
🤔
10
0.047%
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 102 of the 103 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 21,434 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 103 most recent posts we hold, published 2 August 2026 to 8 October 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.
Зарубежная недвижимость у россиян сменила фаворитов: Бали вылетел из топ-10.
Таиланд всё ещё №1, но его доля упала до 17,8%. Турция и ОАЭ набрали 10,2% и 9,8%, а Кипр и Греция — 8,1% и 7,3%. Индонезию в десятке сменила Грузия.
Причина по Бали прозаичная — вопросы с землёй и стройкой. Средний бюджет покупки за год вырос до €298 тыс.
УБЫТОЧНЫХ ОТРАСЛЕЙ В РОССИИ СТАЛО ПОЧТИ В 4 РАЗА БОЛЬШЕ.
За семь месяцев 2026 года в минус ушли уже 11 отраслей против всего 3 годом ранее, пишут «Известия».
🎥 В список проблемных попали металлургия, автопром, деревообработка, страхование, спорт и даже музеи. Сейчас убытки фиксирует примерно каждая третья компания.
Главные причины — дорогие кредиты, рост налоговой нагрузки и увеличение расходов бизнеса.
$1, вложенный в биткоин 17 лет назад, сегодня превратился бы примерно в $112,6 млн.
5 октября 2009-го за доллар давали около 1309 BTC. Сейчас такая пачка стоила бы целое состояние, а доходность составила бы фантастические 11,26 млрд%.
Просто кто-то тогда купил бы «какие-то интернет-монетки», а сегодня уже не знал бы, куда деть $112 млн.
У работодателей появился новый тренд — «гостинг-сокращения». Компании заранее предупреждают о массовых увольнениях, но не сообщают сотрудникам, кого именно сократят и когда это произойдёт. В результате люди продолжают работать неделями или месяцами в состоянии неопределённости и постоянной тревоги. Такой подход уже использовали Nike, Starbucks и Disney.
«Самолёт» вошёл в антирейтинг российского рынка — акции девелопера стали вторыми по падению за девять месяцев, пишет «РБК Инвестиции».
И поводов для нервов хватает: выручка за полугодие рухнула на 31,3%, до 117,5 млрд рублей, вместо прибыли — убыток 22,3 млрд. Плюс запрос господдержки, иск ФНС о банкротстве застройщика «Павелецкая» и просрочка по облигациям в сентябре.
Для «Самолёта» турбулентность уже не только в …
Аргентина начнёт продавать гражданство за инвестиции.
$350 тысяч — и паспорт ваш. Либо можно вложить $800 тысяч в гособлигации. Для семьи из двух взрослых и двух детей цена составит $500 тысяч.
Зато потом — безвизовый въезд в 170 стран. Кандидатов проверят спецслужбы.
Правительству Хавьера Милея деньги нужны особенно кстати: впереди крупные выплаты по долгам и президентские выборы.
В стройке уже 121,9 млн м² жилья — за год объем вырос на 4,5%. В сентябре девелоперы выдали сразу 3,8 млн м², на 42% больше августа.
Основной прирост дали проекты КРТ — плюс 41% за год и 81% всего прироста. Москва при этом просела на 31%.
Строят активнее, но без фанатизма — спрос держат в уме, чтобы не остаться с миллионами непроданных квадратов.
Налог при продаже квартиры хотят резко повысить — Минфин предлагает учитывать доход от продажи жилья вместе с зарплатой.
В таком случае общая сумма может облагаться НДФЛ до 22%. Например, при продаже квартиры за 50 млн рублей налог может вырасти примерно на 1,27 млн. Изменения затронут тех, кто продаёт жильё до истечения минимального срока владения.
Зумеры пытаются закрывать долги ставками и трейдингом, показало исследование. Двое из трёх представителей поколения Z, которые регулярно делают ставки или торгуют на рынке, признались, что рассчитывали таким способом заработать на погашение задолженности. При этом долги есть у 77% молодых людей, а каждый второй заявил, что часть из них появилась из-за трат «ради удобства» — доставок, подписок и покупок через соцсети.
📊 Презентации и коммерческие предложения
Собирайте информацию клиента в понятную презентацию: услуги, цены, преимущества и примеры работ. Здесь важны грамотность, логика и аккуратность.
🧰 Что использовать?
• PowerPoint, Р7-Офис — для слайдов.
• Таблицы — для расчетов и диаграмм.
• Photopea — для подготовки изображений.
⚙️ Как начать?
Сделайте тестовую презентацию на 7–10 слайдов для вымышленного бизнеса. Один слай…
👍41❤39🔥35👌25
Showing the 12 most recent of 103 posts we hold for @zap_eco. 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.
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.
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 8 October 2026 — this
entry's latest reading, not the date you are reading this.
“Записки Эксперта. Экономика, финансы и бизнес” (@zap_eco), 59,319 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/zap_eco.
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.