Politics & activism — 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 22 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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
6 measurements spanning 35 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 322–328 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Sept 2026, 21:00
323
-1
2 Sept 2026, 18:16
324
-2
27 Aug 2026, 15:37
326
+1
21 Aug 2026, 09:07
325
-2
8 Aug 2026, 07:19
327
no change
7 Aug 2026, 19:53
327
first reading
Engagement
5 posts held, back to 5 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 5 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
34s
Average length
34s
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
18 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 88.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
16
88.9%
💯
1
5.56%
🔥
1
5.56%
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 5 of the 5 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 18 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 5 July 2026 to 4 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.
⚡️ Владимир Путин подписал закон о поддержке детских и молодёжных НКО
Возможности для развития детей и молодёжи — приоритет, которому Президент уделяет постоянное внимание. Только вчера он встретился с финалистами конкурса «Большая перемена», поддержал ребят и их стремление двигать страну вперед.
И вот сегодня ещё один шаг: закон о поддержке тысяч детских и молодёжных НКО стал результатом нашей многолетней работы в…
История про смыслы и их проводников
В эти дни в Ханты-Мансийске проходит заключительная смену Всероссийского форума развития гражданского общества "Добрино".
Смена «Проводники смыслов: масштабирование опыта» - это почти 100 лидеров социальных проектов, представителей молодежных и общественных организаций, авторов добровольческих инициатив из регионов России и зарубежных стран. Все вместе они развивают навыки публич…
А у нас в академии "Добрино" началась вторая смена Всероссийского форума развития гражданского общества. На одной площадке - лидеры Добро.Центров, ресурсных центров НКО и те, кто отвечает за поддержку добровольчества и гражданской активности в регионах нашей страны. Работаем)))
#МолодëжьЮгры #Добрино
История про новые смыслы, которые появились после форума «Добрино»
В Академии «Добрино» 1-5 июля прошла первая смена Всероссийского форума развития гражданского общества, собравшая 150 самых активных представителей некоммерческого сектора со всей страны.
Главная задача смены — дать помощь на старте тем, кто делает первые осознанные шаги в третьем секторе, помочь им прокачать базу знаний и обрести уверенность в свое…
❤6
Showing the 5 most recent of 5 posts we hold for @khlebnikov_ugra. 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.
Forward network
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.
Mentions
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.
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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“Иван Хлебников | Истории” (@khlebnikov_ugra), 323 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/khlebnikov_ugra.
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.
