#ИзФрендЛенты #ПолезноЗнать Ольга Лукинова - о невербалике на экране, очень полезный эфир!
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Channel
@echoporusski
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3,343subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001744959340 |
|---|---|
| Type | Channel |
| Username | @echoporusski |
| Description | Сообщество тех, кто любит поговорить по-русски о важном, интересном, удивительном, о "больном". И тех, кто слушал "Говорим по-русски!" в радиоэфире |
| Created | 7 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/echoporusski |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 15:01 | 3,343 | no change |
| 7 Aug 2026, 14:54 | 3,343 | first reading |
18 posts held, back to 20 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 2 pagesof 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. It is computed over the 17 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 18 (20 July 2026 – 5 August 2026) |
| Views total | 7,094 |
| Reactions total | 219 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 23:27 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 7 August 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.
219 reactions across 17 posts, in 7 distinct kinds. The most used accounts for 41.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 91 | 41.6% | |
| ❤ | 82 | 37.4% | |
| 😁 | 19 | 8.68% | |
| 🔥 | 16 | 7.31% | |
| 👏 | 8 | 3.65% | |
| 😢 | 2 | 0.913% | |
| 💯 | 1 | 0.457% |
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 17 of the 18 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 219reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 20 July 2026 to 5 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.
#ИзФрендЛенты #ПолезноЗнать Ольга Лукинова - о невербалике на экране, очень полезный эфир!
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Невербалика в онлайне. Как управлять впечатлением о себе через экран? Мы привыкли думать, что невербальная коммуникация — это жесты, мимика, взгляд, поза, интонация. Но сегодня значительная часть общения происходит через экран: в зуме, мессенджерах, электронной почте и социальных сетях. Можно ли говорить о невербалике там, где мы не видим друг друга? И если да, то из чего она теперь складывается? В новом выпуске по…
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#Улыбнитесь #ИзФрендЛенты
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#НашеВидео 📺 Сегодня поговорим о гимнографии: о том, как почитают тех, кто не канонизирован Церковью. 📍Священник Максим Плякин рассказывает о трех типах "паралитургики" - молитвенных текстах, прославляющих "хороших людей", тех священослужителей и праведников, которые стоят на пороге канонизации, и "параллельных" образах святых. ◻️ Посмотрев видео, вы узнаете, как быть с благочестивым Иваном Грозным, Сергеем Есенины…
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Photo, posted without a caption
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#ИзЖизниСлов #Сленг #КакПравильно С открытием блогосферы и социальных сетей в русский язык, точнее - в русскую речь! - пришло слово КОНСЕРВА: блогеры варят, например, рыбные супы из КОНСЕРВЫ, а народ делится опытом выживания без готовки - взял на ужин какую-нибудь КОНСЕРВУ - и порядок! 🔺 Не знаю, как вас, а меня КОНСЕРВА веселит. Но для ее приверженцев у меня плохая новость - специалисты справки Грамоты утверждают:…
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А в Воронежской области есть такая станция! Представляете, чем занимались ее прежние жители?🤓🤭
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#ИзЖизниСлов 📒 Сегодня заглянем в историю двух колоритных слов — «брязги» и «дрязги». Они звучат почти как звукоподражание, и в этом есть своя логика: в народной речи такие слова часто передают не только смысл, но и интонацию — в данном случае легкое раздражение, досаду, пренебрежение. 📍Слово «брязги» (в значении «вздор, пустые речи, сплетни») фиксировалось ещё в авторитетных словарях XVIII–XIX веков: в «Словаре Ака…
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Владимир Пахомов напомнил: сегодня 75-летний юбилей обнаружения берестяной грамоты! Безусловно, нужно отпраздновать!
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26 июля — День берестяной грамоты. 75 лет назад, 26 июля 1951 года, в Великом Новгороде была обнаружена первая берестяная грамота. Очень люблю эту лекцию великого лингвиста Андрея Анатольевича Зализняка о берестяных грамотах: https://elementy.ru/nauchno-populyarnaya_biblioteka/432804/Iz_rasskazov_o_berestyanykh_gramotakh
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#НашеВидео📺 Насколько важно грамотно организованное повторение лексики для успешного освоения русского языка как иностранного? Можно ли объективно оценить эффективность современных учебников? И какую роль будет играть преподаватель в эпоху стремительного развития искусственного интеллекта? 📍Об этом мы поговорили с Полиной Дорожкиной, лаборантом-исследователем Лаборатории когнитивных и лингвистических исследований Ин…
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#ИзЖизниСлов Когда я попала в Александринку, одним из ярких, наряду со спектаклем, впечатлений была встреча с капельдинерами - в ливреях, по "театральному статуту"! 📍Что входило в костюм: ◻️Ливрейный фрак. Часто чёрного или тёмно-синего цвета. Иногда с галунами. Ливрейные пуговицы были крупными (золотыми или серебряными) с гербом, короной или монограммой. Иногда добавляли витой погон и аксельбант (на левом плече — …
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Showing the 12 most recent of 18 posts we hold for @echoporusski. 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.
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.
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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“Говорим по-русски! С О.Северской и Ko” (@echoporusski), 3,343 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/echoporusski.
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.