Education — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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
33 measurements spanning 43 days, net +2,149. 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 21,098–24,158 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
19 Sept 2026, 17:17
23,805
+108
17 Sept 2026, 06:59
23,697
+507
15 Sept 2026, 04:59
23,190
+489
13 Sept 2026, 13:37
22,701
+1,250
11 Sept 2026, 17:36
21,451
-19
9 Sept 2026, 03:36
21,470
-6
5 Sept 2026, 17:54
21,476
-7
3 Sept 2026, 19:18
21,483
-30
2 Sept 2026, 08:33
21,513
-18
1 Sept 2026, 07:38
21,531
-23
31 Aug 2026, 11:04
21,554
-93
30 Aug 2026, 09:43
21,647
-11
29 Aug 2026, 06:34
21,658
-7
28 Aug 2026, 04:08
21,665
-12
27 Aug 2026, 02:15
21,677
-13
25 Aug 2026, 23:34
21,690
-13
24 Aug 2026, 22:47
21,703
-7
23 Aug 2026, 09:48
21,710
-8
21 Aug 2026, 17:36
21,718
-13
20 Aug 2026, 12:38
21,731
first reading
Engagement
7 posts held, back to 11 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 57 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.16%
avg views ÷ 23,805 subscribers
Avg views / post
2,180
1 post measured
Reaction rate
0.642%
reactions ÷ views · ER floor
Posts in window
1
of 7 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 30 August 2026
Posts held
7 (11 July 2026 – 30 August 2026)
Views total
2,180
Reactions total
14
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 14:52 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
10s
Average length
10s
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
354 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 59.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😍
209
59.0%
💔
145
41.0%
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 7 of the 7 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 354 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 11 July 2026 to 30 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.
🌼🌼 этот день навсегда закроет
все твои вопросы по блогу.
родные, скажите честно..
сколько раз вы гуглили «как вести блог», смотрели десятки роликов, покупали разрозненные курсы, но в вашем контенте так ничего и не изменилось?
сегодня снимаешь рилс, завтра подключаешь нейросети, послезавтра пытаешься понять воронки и в итоге ни один навык не доведён до конца.
этот этап проходили многие из нас, но спустя 7 лет опыт…
🧑🦳 факты о контенте, которые
многие узнают слишком поздно.
если ты давно ведёшь блог — ты обязана знать эти три факта по алгоритмам и контенту, чтобы вести блог правильно, иначе он просто не будет расти.
/факт первый.
наверняка ты уже знаешь, что алгоритм Instagram оценивает твой пост в первые 90 минут после публикации, но не по лайкам — по тому сколько времени люди провели внутри контента. пост который листают з…
😽 как расти на неподписчиках, понимая метрики каруселей?
есть один из семи разделов в статистике Instagram, который большинство авторов никогда не открывают.
именно в нём живёт
самая страшная правда
о твоих каруселях.
называется — «просмотры в динамике». там показано
главное: сколько процентов от всех, кто посмотрел пост, были неподписчиками.
что значит и как отслеживать:
если в первые 3 часа после публикации не…
😳 тестируем кое-что новенькое.
сейчас разрабатываем стильного клод-агента, который не просто пишет прогревы и раскладывает ваши мысли в сторис, но и оформляет их — сразу с дизайном, готовые к публикации.
хотим узнать насколько это
было бы актуально вам в работе
с блогом ↓
ставьте 💔 если такой инструмент для прогревов будет для вас ценным.
🛀 новая кнопка в instagram
делает твои сторис вирусными.
очень нравится что сейчас
инстик внедряет в обновлениях:
💬 сторис теперь можно оставлять на 48 часов и делать первыми в ленте твоих подписчиков одной кнопкой.
💬 теперь есть легальный просмотр статистики постов чужих акаунтов, ты можешь спокойно зайти и узнать какой контент приносит подписчиков твоим конкурентам.
💬 можно анонимно просматривать сторис бывших …
🤨 как сегодня взломать набор аудтиории через ai карусели?
— нейро дизайн каруселей
не работает, говорили они.
тем временем Катерина в свой блог о женском здоровье на нейро-каруселях набрал 4 300 новых подписок за две недели лета.
её блогу 9 лет, у Кати крутая экспертиза в нутрициологии и биохакинге, но мало опыта в продвижении и правильном контенте.
блог она, как и многие из нас, вела периодами так как на контент…
😍76💔1
Showing the 7 most recent of 7 posts we hold for @agcontent. 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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“блог полюбви.” (@agcontent), 23,805 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/agcontent.
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.