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 18 September 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
14 measurements spanning 52 days, net +158. 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 1,022–1,228 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
27 Sept 2026, 08:00
1,204
+12
15 Sept 2026, 18:59
1,192
+35
11 Sept 2026, 21:21
1,157
+29
7 Sept 2026, 20:41
1,128
+43
2 Sept 2026, 20:09
1,085
+13
30 Aug 2026, 07:54
1,072
+2
27 Aug 2026, 16:04
1,070
+1
25 Aug 2026, 01:25
1,069
+4
21 Aug 2026, 14:07
1,065
+7
15 Aug 2026, 20:22
1,058
+9
12 Aug 2026, 13:15
1,049
+2
9 Aug 2026, 12:33
1,047
+1
6 Aug 2026, 12:52
1,046
no change
6 Aug 2026, 11:19
1,046
first reading
Engagement
7 posts held, back to 19 June 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 7 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
155 reactions across 7 posts, in 8 distinct kinds. The most used accounts for 64.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
100
64.5%
❤🔥
19
12.3%
🔥
14
9.03%
😈
12
7.74%
💘
4
2.58%
👾
3
1.94%
👍
2
1.29%
😐
1
0.645%
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 155 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 19 June 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.
👩❤️👨🤳 Станьте частью медиатусовки ЦПМ!
🧡 Такого еще не было — отдел медиасопровождения ЦПМ и Креативная мастерская Ассоциации победителей олимпиад проведет медиаинтенсив!
💯 Это будет неделя, за которую вы освоите съемку современного контента и создадите собственные материалы об олимпиадам движении. Каждый день вас ждут занятия от экспертов и много практики!
🧡 В сентябре мы будем делиться лучшими материалами в со…
Снова рады порекомендовать наших друзей и коллег из команды проекта «В центре науки» — у них есть замечательное предложение по исследовательской работе:
Мечтаете побывать в лучших лабораториях страны? Мы знаем, как воплотить мечту в жизнь.
Именно это ждёт участников «Научного ускорителя». Школьники смогут поработать в современных лабораториях, познакомиться с университетами и научными институтами изнутри и вместе с…
🌷 Репортаж о международной олимпиаде по географии
🌎 В МГУ прошла Открытая Международная географическая олимпиада (OpenGeo). В этом году географический факультет посетили команды из 25 стран-участниц.
👀 В этом видео участники из Москвы рассказали о любви к географии, своем опыте участия в международной олимпиаде и подготовке, а тренер национальной сборной — о важнейших качествах кандидатов в сборную.
Михаил Балабан — в гостях у сборной по испанскому!
🇪🇸 Сборная Москвы по испанскому языку проводит летний лекторий по лингвострановедению. Последнее июньское занятие лектория в ближайшую субботу проведёт Михаил Олегович Балабан — тренер нашей сборной и соавтор курса «Страноведение».
⛰ Тема лекции — «Пампа, сельва, пуна: уникальные пейзажи Латинской Америки»
⏰ Начало — в 16:00 (27 июня)
Послушать лекцию может любой…
🥇 4 москвича = 4 золота 🥇
Михаил Пустынный, Степан Клепов, Энжелина Гаязова и Тихон Пуляев — золотые медалисты OpenGeo!
Международная олимпиада для участников из команды Москвы прошла триумфально — ребята взяли 4 золота из 4. Отметим также, что Тихон Пуляев показал абсолютный результат среди участников из стран Европы.
Поздравляем наших чемпионов!
На связи наши друзья и коллеги из команды проекта «В центре науки»:
Даже если в этом году ты не стал ПиПом ВсОШ, это не значит, что путь в топовый вуз закрыт.
Одна из самых недооценённых возможностей — участие в научных конкурсах и конференциях. Победа во многих из них даёт поступление без вступительных испытаний или дополнительные баллы!
В карточках собрали конкурсы и конференции, на которые вы можете податься в …
Москвичи на международной олимпиаде
Сегодня стартовала OpenGeo — Открытая Международная географическая олимпиада. Второй год подряд площадкой проведения выступил географический факультет МГУ им. Ломоносова, а участвовать приехали команды из 25 стран.
В сборной России из шести человек четверо представляют Москву — Тихон Пуляев, Энжелина Гаязова, Степан Клепов и Михаил Пустынный. Также за нашу страну выступят Данила …
❤30🔥4👾3
Showing the 7 most recent of 7 posts we hold for @geo_cpm. 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
Named by 3 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@geo_cpm named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@creative_apo named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 26 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 27 September 2026 — this
entry's latest reading, not the date you are reading this.
“География | Сборная Москвы” (@geo_cpm), 1,204 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/geo_cpm.
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.