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Telegram profile photo for Звони Родионовой 📞

Channel

Звони Родионовой 📞

@call_Rodionova

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Declared links · Cite this entry

754subscribers

-4 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002629111429
TypeChannel
Username@call_Rodionova
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live16 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/call_Rodionova

Growth

7547587568 August 2026 — 758 subscribers8 August 2026 — 758 subscribers16 August 2026 — 754 subscribers8 August 202616 August 2026
3 measurements spanning 9 days, net -4. 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 753–759 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 20:34754-4
8 Aug 2026, 02:20758no change
8 Aug 2026, 02:19758first reading

Engagement

20 posts held, back to 20 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.0%
avg views ÷ 754 subscribers
Avg views / post
98.3
20 posts measured
Reaction rate
5.70%
reactions ÷ views · ER floor
Posts in window
20
of 20 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
WindowRolling 30 days · latest post in window 7 August 2026
Posts held20 (20 July 20267 August 2026)
Views total1,966
Reactions total112
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 02:20 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
23s
Average length
23s

Measured directly from 1 video 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

112 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 30.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3430.4%
🔥3329.5%
💯1816.1%
😁1210.7%
👍119.82%
💔32.68%
🐳10.893%

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 20 of the 20 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 112reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 20 July 2026 to 7 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.

Recent posts

7 Aug 2026, 16:06 UTC41 views3 reactionsread 8 August 2026

Уж дышит август сентябрём, И календарь тасует масти, А мы всегда чего-то ждём: То лета, то зимы, то счастья....

3

Signed Svetlana Rodionova

7 Aug 2026, 06:04 UTC59 views3 reactionsread 8 August 2026
Photo

Посмотрела вебинар Джоша Берсина про HR 2030. Обычно в таких материалах я заранее готовлюсь к знакомому набору слов: трансформация, будущее работы, агенты, навыки, новая роль HR. Всё правильное, но иногда звучит так, будто один и тот же слайд просто переехал из одной презентации в другую. Берсин говорит, что AI не уничтожает рабочие места как таковые (перекличка с постом выше). Он убирает задачи, меняет роли и оче

👍21

Signed Svetlana Rodionova

6 Aug 2026, 06:52 UTC66 views2 reactionsread 8 August 2026

Неоднократно удивлялась тому, как активно в стране начали вводить ГОСТы, от мороженного, до карандаша. И вот настал тот час 🤣 С 1 августа вступил в силу ГОСТ оценки качества и порядка её измерения внедрения технологий ИИ. Всем качественного ИИ! И один день до пятницы!

1👍1

Signed Svetlana Rodionova

6 Aug 2026, 06:00 UTC72 views2 reactionsread 8 August 2026

Один день из жизни стартапа. Вчера утром обсуждали, как должна выглядеть нормальная речевая аналитика для компании. С прикладным использованием: колл-центры, продажи, оценка качества, обратная связь сотрудникам, отчёты для руководителей. Потом посмотрели конкурентов. Их, кстати, не так много, как может показаться. И стало ещё понятнее, куда мы не хотим идти. У одних всё очень технологично: много настроек, сложная

2

Signed Svetlana Rodionova

5 Aug 2026, 16:36 UTC68 views5 reactionsread 8 August 2026
Photo

Дело было вечером, и мне подумалось... мало кто любит читать, но многие любят хорошую инфографику. Так за чем дело стоит, сказано - сделано!

🔥5

Signed Svetlana Rodionova

5 Aug 2026, 05:45 UTC106 views5 reactionsread 8 August 2026

В HBR вышел материал о том, как ИИ меняет ожидания работодателей от новых сотрудников. Зацепилась за мысль: многие стартовые задачи, через которые люди раньше входили в профессию, теперь всё чаще можно отдать ИИ. И это правда важная тема. Раньше младшие специалисты учились через не самую вдохновляющую работу: собрать данные, подготовить первый черновик, сверить источники, сделать краткое резюме, оформить материал. Сн

💯5

Signed Svetlana Rodionova

3 Aug 2026, 06:26 UTC83 views6 reactionsread 8 August 2026

Есть одна вещь, которую я всё чаще замечаю в рабочих коммуникациях. ИИ действительно помогает людям писать быстрее, но не всегда помогает говорить точнее и по делу. В результате появляется много текстов, которые вроде бы выглядят нормально: аккуратные письма, резюме встреч, описания проектов, посты, выводы по исследованиям. Всё грамотно, вежливо, структурировано. Но читаешь и понимаешь: внутри почти ничего не произо

💯6

Signed Svetlana Rodionova

31 Jul 2026, 06:18 UTC131 views8 reactionsread 8 August 2026
File

Есть интересный парадокс во внедрении ИИ. С одной стороны, он действительно снимает много рутинных задач. Это хорошо: меньше ручной работы, быстрее подготовка материалов, проще собрать первый вариант решения. С другой стороны, появляется риск, о котором пока говорят заметно тише: если слишком часто отдавать ИИ не только выполнение, но и само мышление, часть навыков начинает проседать. Даже ленность появляется, когд

🔥6💯2

Signed Svetlana Rodionova

30 Jul 2026, 06:04 UTC113 views10 reactionsread 8 August 2026
Photo

Photo, posted without a caption

😁6🔥4

Signed Svetlana Rodionova

29 Jul 2026, 07:02 UTC109 views3 reactionsread 8 August 2026
File

В корпоративной культуре до сих пор часто ценится героизм. Человек всегда на связи. Быстро отвечает. Берёт на себя больше, чем должен. Спасает проект в последний момент. Все понимают, что без него было бы сложно. Звучит как комплимент. Но я всё чаще думаю, что это не всегда про сильного сотрудника. Иногда это просто симптом плохо настроенной системы. В выпуске СберУниверситета “Больше чем менеджмент” есть хорошая

3

Signed Svetlana Rodionova

28 Jul 2026, 05:58 UTC103 views7 reactionsread 8 August 2026

Если в компании непонятно, кто отвечает за результат, где лежит источник правды и зачем вообще существует процесс, нейросеть это не исправит. Она просто масштабирует путаницу — быстрее, красивее и иногда заметно дороже. Поэтому я с осторожностью отношусь к фразе «давайте внедрим ИИ». Иногда сначала приходится внедрять здравый смысл. А уже потом — технологию.

6🔥1

Signed Svetlana Rodionova

27 Jul 2026, 07:03 UTC105 views7 reactionsread 8 August 2026
File

Кажется, у нас появилась новая корпоративная игра. Называется: “Мы AI-first компания”. Правила простые: купить пару нейросетевых инструментов, провести воркшоп, заставить сотрудников написать по одному промпту и срочно обновить стратегию. Всё. Можно идти на конференцию. Однако, WEF в свежем отчёте аккуратно напоминает неприятную вещь: AI-first — это не когда у вас ChatGPT в каждом отделе. Это когда без ИИ у вас ре

3👍2🔥2

Signed Svetlana Rodionova

Showing the 12 most recent of 20 posts we hold for @call_Rodionova. 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

Citation-graph rank — 685,213 of 1,481,306entries 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.

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 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.

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.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Звони Родионовой 📞” (@call_Rodionova), 754 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/call_Rodionova.

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.