Channel
@eco_diary
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
76,537subscribers
-1,522 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001813471525 |
|---|---|
| Type | Channel |
| Username | @eco_diary |
| Description | Канал для тех, кто стремится к финансовой независимости. Анализируем тренды, делимся инсайтами и вдохновляем на умные вложения! Сотрудничество: @dashafinance РКН: https://clck.ru/3GUDMr |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 2 September 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 2 September 2026 |
| On Telegram | t.me/eco_diary |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Sept 2026, 07:17 | 76,537 | +1,523 |
| 1 Sept 2026, 04:47 | 75,014 | +2,659 |
| 31 Aug 2026, 06:45 | 72,355 | -1,912 |
| 30 Aug 2026, 05:56 | 74,267 | +693 |
| 29 Aug 2026, 06:25 | 73,574 | -3,746 |
| 28 Aug 2026, 07:23 | 77,320 | +573 |
| 27 Aug 2026, 04:47 | 76,747 | -2,991 |
| 26 Aug 2026, 03:54 | 79,738 | +6,152 |
| 25 Aug 2026, 04:22 | 73,586 | -1,890 |
| 23 Aug 2026, 20:56 | 75,476 | -6,522 |
| 22 Aug 2026, 02:47 | 81,998 | +2,702 |
| 20 Aug 2026, 21:58 | 79,296 | -1,269 |
| 19 Aug 2026, 21:47 | 80,565 | +976 |
| 18 Aug 2026, 20:37 | 79,589 | +564 |
| 17 Aug 2026, 20:35 | 79,025 | -734 |
| 16 Aug 2026, 18:58 | 79,759 | +42 |
| 15 Aug 2026, 08:58 | 79,717 | +104 |
| 14 Aug 2026, 00:13 | 79,613 | +4,775 |
| 12 Aug 2026, 18:06 | 74,838 | -836 |
| 11 Aug 2026, 16:55 | 75,674 | first reading |
25 posts held, back to 24 May 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 58 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 31 August 2026 |
|---|---|
| Posts held | 25 (24 May 2026 – 31 August 2026) |
| Views total | 205,800 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 16:44 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.
Lifetime counters from Telegram’s own channel header, read 2 September 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.
⁉️ Устал искать интересные каналы с новостями мира финансов? 📁 ПАПКА С КАНАЛАМИ В этой папке собраны каналы про бизнес и экономику, которые помогают быстрее разобраться в сфере, находить идеи и экономить время на поиске информации. 🔥 Каналы ведут лучшие знатоки своего дела: 🤩 БОДРУМ . ДОМ У МОРЯ - 📍Лицензированное АН в Бодруме 𝐖𝐚𝐛𝐢 𝐆𝐫𝐨𝐮𝐩 ✅Премиальные объекты от застройщиков . ✅ Брендированная недвижимость ✅ К…
Доля жилья экономкласса в новостройках России продолжает сокращаться. По данным «Домклик», за год она снизилась с 19% до 16,2% от общего объёма предложения. Единственным регионом, где бюджетные проекты занимают большую часть рынка, остаётся Самарская область. Сокращение предложения связывают с ростом стоимости строительства, дорогими кредитами и ужесточением требований к девелоперам. На этом фоне застройщики всё чаще…
Каждое десятое рабочее место в России находится в зоне высокого риска из-за развития искусственного интеллекта. Внедрение ИИ может существенно изменить рынок труда и повлиять на занятость в ряде профессий.
Российская экономика снова перешла к росту после спада, который стал первым за последние три года. Показатели экономической активности начали восстанавливаться после периода снижения.
До 10 лет жизни можно провести в смартфоне, если пользоваться им по 4 часа в день. При 8 часах ежедневного экранного времени на смартфон уйдёт уже около 21 года - почти треть жизни.
Частные инвесторы стали крупнейшими покупателями коммерческой недвижимости. По данным Nikoliers, в первом полугодии 2026 года на них пришлось 51% всех вложений. В сегментах торговых центров и гостиниц их доля достигла 70% и 68% соответственно.
Продавцы вторичного жилья в России чаще всего изначально завышают стоимость квартир. По данным SRG, в городах-миллионниках цену в итоге снижают в 74–85% случаев. В среднем собственники готовы уступить около ₽240 тысяч.
За последние 24 года государственный долг крупнейших экономик заметно вырос. Больше всего - в Великобритании: на 801%. В США рост составил 557%, во Франции - 285%, а в Германии - 125%.
Китайская ИИ-модель Moonshot Kimi K3 обвалила акции производителей чипов и ИИ-компаний. Азиатский индекс полупроводников рухнул на 6%, а фьючерсы на Nasdaq 100 просели на 2%. Модель имеет 2,8 трлн параметров и контекстное окно на 1 млн токенов.
Спрос на литий к 2040 году вырастет в 3,5 раза - почти до 1 млн тонн. Из-за стремительного роста рынка электромобилей литий стал самым быстрорастущим металлом в мире, считают в МЭА.
Выпускники магистратуры Центрального университета в среднем зарабатывают 315 тысяч рублей. По данным вуза, это на 37% выше среднерыночного уровня IT-специалистов в Москве. За время обучения доходы студентов выросли в среднем в 2,4 раза, а более 87% выпускников заканчивают программу уже с работой.
Вторичное жильё в России за последние пять лет подорожало в среднем на 87%, а аренда - на 81%. В ряде крупных городов рост оказался ещё выше: лидируют Челябинск (+148%), Чебоксары (+136%) и Киров (+134%).
Showing the 12 most recent of 25 posts we hold for @eco_diary. 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 — 1,016,968 of 1,629,571 entries 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.
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.
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 2 September 2026 — this entry's latest reading, not the date you are reading this.
“Дневник Экономиста” (@eco_diary), 76,537 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/eco_diary.
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.