Education — 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 21 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 50 days, net -808. 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 50,527–51,577 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
25 Sept 2026, 15:21
50,648
-83
19 Sept 2026, 00:15
50,731
-38
16 Sept 2026, 14:37
50,769
-29
14 Sept 2026, 19:40
50,798
-25
13 Sept 2026, 07:15
50,823
-41
11 Sept 2026, 06:36
50,864
-62
8 Sept 2026, 06:56
50,926
-28
5 Sept 2026, 04:01
50,954
-31
3 Sept 2026, 12:37
50,985
-19
2 Sept 2026, 08:24
51,004
-17
1 Sept 2026, 08:17
51,021
-21
31 Aug 2026, 06:37
51,042
-14
30 Aug 2026, 03:08
51,056
-19
29 Aug 2026, 02:37
51,075
-9
28 Aug 2026, 02:48
51,084
-18
27 Aug 2026, 04:25
51,102
-11
26 Aug 2026, 06:13
51,113
-21
25 Aug 2026, 04:43
51,134
-4
24 Aug 2026, 04:03
51,138
-30
22 Aug 2026, 09:25
51,168
first reading
Engagement
83 posts held, back to 29 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 102 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.25%
avg views ÷ 50,648 subscribers
Avg views / post
1,650
41 posts measured
Reaction rate
1.54%
reactions ÷ views · ER floor
Posts in window
41
of 83 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 24 September 2026
Posts held
83 (29 July 2026 – 24 September 2026)
Views total
67,589
Reactions total
1,042
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Sept 2026, 05:30 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
8m 05s
Average length
1m 01s
Measured directly from 8 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
2,626 reactions across 83 posts, in 15 distinct kinds. The most used accounts for 51.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,357
51.7%
🔥
582
22.2%
😁
220
8.38%
👍
189
7.20%
🎉
84
3.20%
❤🔥
52
1.98%
👏
52
1.98%
💯
24
0.914%
🥰
18
0.685%
🤩
14
0.533%
💔
12
0.457%
⚡
9
0.343%
🐳
6
0.228%
😍
4
0.152%
🤗
3
0.114%
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 83 of the 83 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 2,626 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 83 most recent posts we hold, published 29 July 2026 to 24 September 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.
🎙️Почему мы начинаем оправдываться, хотя нас ещё ни в чём не обвинили?
Разбираем вопрос из утреннего видео: «А вы уверены, что справитесь?»
В аудио тренер по голосу и речи показывает, как уточнить причину сомнений и что ответить дальше. Ведь за этой фразой может стоять и вопрос по делу, и попытка вас задеть.
Послушайте и сравните со своей первой реакцией. Что теперь хочется ответить?
В сегодняшнем разборе мы взял…
🔔Представьте: вы предложили взять на себя задачу, а в ответ слышите этот вопрос.
Послушайте, как он звучит в двух вариантах. Слова одни и те же, а ответить хочется по-разному.
Что вы сказали бы обоих случаях? Пишите первую фразу, которая пришла в голову ↪️
Чуть позже выложим разбор, что происходит в таком разговоре и как ответить, когда чувствуете давление.
Когда волнение мешает показать, на что вы способны
Когда голос дрожит, мысли путаются, а нужные слова приходят уже после разговора — сложно отстоять свою позицию и донести главное.
🔼У Елены Ефименко долго было именно так.
Елена — специалист по ценообразованию в строительстве. При волнении у неё дрожал голос, мысли было сложно собирать в понятную структуру, а профессиональные вещи — объяснять простым и понятным язы…
Как собеседник понял о вас все в первую секунду еще до того, как вы заговорили?
Прежде чем сказать хоть слово, тело уже сообщило собеседнику половину информации о вас. Сгорбленные плечи, зажатая челюсть, взгляд в пол, — и человек напротив ещё до содержания разговора решает, как к вам относиться.
Состояние — это то, с чего всё начинается, задолго до слов и структуры речи. Можно выучить идеальную формулировку самопре…
Пять стадий принятия офисной работы 😁
🔠Отрицание: «Я никогда не буду работать в офисе!»
🔢 Гнев: «Это всё ужасно, почему я вообще здесь?!»
🔠 Торг: «Ну, максимум годик».
🔢Депрессия: «Я здесь навсегда».
🔢Принятие: «Принёс в офис свою чашку».
Какая у вас стадия принятия в этот понедельник? 😁
7 ключей устойчивости
С завтрашнего дня в канале интенсива начинается серия подкастов «7 ключей устойчивости» — разбор того, из чего складывается человек, которого слышат, ценят и не сдвигают с места ни критика, ни давление, ни чужое мнение:
🔢Состояние - с чего вообще всё начинается, до слов и до речи.
🔢Самопрезентация - почему это не хвастовство, а взрослая позиция.
🔢Речь, от которой невозможно оторваться.
🔢Реакци…
Почему ваш опыт часто играет против вас?
Стараясь показать свою экспертность, чтобы точно никто не подумал, что вы «какой-то недоспециалист», вы проваливаетесь в позицию, как в ролике выше ↪️
«Я и маркетолог, и коуч, и наставник, а ещё немного юрист, проджект и чуть-чуть разбираюсь в дизайне».
Когда в самопрезентации «всё обо всём», происходит неприятная штука:
🔢Размывается фокус
Собеседнику тяжело зацепиться за …
Кем вы на самом деле работаете, и совпадает ли это с тем, как вы сами о себе рассказываете?
Спросите себя: какая у вас сейчас роль? Мастер, который делает работу своими руками. Руководитель, Топ-менеджер, управляющий процессом, в котором задействованы другие люди.
Часто эти роли расходятся с тем, как человек сам себя описывает. Кто-то формально руководитель, а в голове до сих пор ощущает себя мастером — тем, кто пр…
Showing the 12 most recent of 83 posts we hold for @golos_SedaKasparova. 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 edited after publishing
@golos_SedaKasparova edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
12 August 2026
Most recent edit
11 September 2026
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
🎙️Вас просят представиться, рассказать о своём опыте, презентовать себя. Ваши мысли в этот момент?
➡️В голове шум, не могу собраться27%
➡️Я ничего особенного не сделал, никому не интересно41%
➡️Я и шью и вышиваю и художник и электрик40%
➡️Начну готовить, сочтут выскочкой8%
➡️Пожалуй промолчу5%
The shares total 121%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 83 most recent posts we hold, published 29 July 2026 to 24 September 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 2 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.
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Коммуникативный интеллект” (@golos_SedaKasparova), 50,648 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/golos_SedaKasparova.
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.