Telegram RegisterThe public register of Telegram
Telegram profile photo for Моспредпроф

Channel

Моспредпроф

@mospredprof

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

6,832subscribers

+11 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001641654148
TypeChannel
Username@mospredprof
DescriptionВсе о предпрофессиональных классах в столичных школах.
Created2 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live8 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/mospredprof

Topic

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 the other topics.

Growth

6,7927,0566,9247 August 2026 — 6,821 subscribers7 August 2026 — 6,821 subscribers10 August 2026 — 6,817 subscribers14 August 2026 — 6,814 subscribers17 August 2026 — 6,824 subscribers20 August 2026 — 6,792 subscribers24 August 2026 — 6,821 subscribers27 August 2026 — 6,816 subscribers30 August 2026 — 6,850 subscribers2 September 2026 — 6,841 subscribers6 September 2026 — 6,825 subscribers11 September 2026 — 6,985 subscribers14 September 2026 — 7,056 subscribers18 September 2026 — 7,055 subscribers28 September 2026 — 7,035 subscribers5 October 2026 — 7,018 subscribers12 October 2026 — 6,985 subscribers15 October 2026 — 6,974 subscribers18 October 2026 — 6,964 subscribers21 October 2026 — 6,950 subscribers24 October 2026 — 6,947 subscribers27 October 2026 — 6,920 subscribers30 October 2026 — 6,899 subscribers2 November 2026 — 6,872 subscribers5 November 2026 — 6,850 subscribers8 November 2026 — 6,832 subscribers6,8327 August 20268 November 2026
26 measurements spanning 93 days, net +11. 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 6,752–7,096 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
8 Nov 2026, 11:456,832-18
5 Nov 2026, 09:066,850-22
2 Nov 2026, 15:396,872-27
30 Oct 2026, 05:316,899-21
27 Oct 2026, 10:386,920-27
24 Oct 2026, 08:006,947-3
21 Oct 2026, 15:106,950-14
18 Oct 2026, 11:206,964-10
15 Oct 2026, 15:066,974-11
12 Oct 2026, 14:386,985-33
5 Oct 2026, 18:377,018-17
28 Sept 2026, 15:577,035-20
18 Sept 2026, 23:397,055-1
14 Sept 2026, 22:597,056+71
11 Sept 2026, 08:376,985+160
6 Sept 2026, 09:016,825-16
2 Sept 2026, 06:046,841-9
30 Aug 2026, 08:576,850+34
27 Aug 2026, 01:396,816-5
24 Aug 2026, 03:276,821first reading

Engagement

36 posts held, back to 22 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 24 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.32%
avg views ÷ 6,832 subscribers
Avg views / post
295
17 posts measured
Reaction rate
1.86%
reactions ÷ views · ER floor
Posts in window
17
of 36 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. It is computed over the 16 of 17 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held36 (22 July 2026 – 11 November 2026)
Views total5,014
Reactions total89
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 03:19 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

Photos
≈7,480
Videos
≈364
Links
≈1,880

Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
42s
Average length
21s

Measured directly from 2 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

261 reactions across 35 posts, in 12 distinct kinds. The most used accounts for 23.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6223.8%
🔥6223.8%
👍3613.8%
custom 5291808104227306506238.81%
😍218.05%
custom 5292185056327005992176.51%
🏆124.60%
💯114.21%
👏83.07%
🤩51.92%
🥰31.15%
🤔10.383%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 35 of the 36 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 261 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 36 most recent posts we hold, published 22 July 2026 to 11 November 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

Telegram’s own ‘edited’ marker: 1 of 17 posts held from the last 30 days (5.88%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 16:21 UTC103 views3 reactionsread 12 November 2026
Photo

Придумать стартап, рассчитать прибыль и защитить свою разработку перед экспертами — все это могут московские школьники! Стартовал седьмой сезон Чемпионата предпринимательских идей. К участию приглашают учеников 8–11-х классов. Что ждет участников? 🧐 Онлайн-марафон с бизнес-кейсами и проверкой предпринимательских навыков 🥰 Командная работа по одному из семи направлений: от технологий и экологии до здоровья, спорта и…

❤3

11 Nov 2026, 11:50 UTC131 views5 reactionsread 12 November 2026
Photo

Как школьники учат город экономить ⚙️ Фонари загораются только при появлении машин, а трансформаторы не расходуют лишнюю энергию в часы низкой нагрузки. Сценарий для фильма о будущем? Лучше: реальные решения учеников инженерных классов. Делимся разработками в честь Международного дня энергосбережения 🧐 ➡️ Ученик школы № 2000 Арсений Яновский разработал алгоритм, который анализирует нагрузку на трансформаторные под…

🔥3❤1🏆1

10 Nov 2026, 15:05 UTC183 views4 reactionsread 12 November 2026
Photo

От школьных защит — к Большому финалу 🧐 В школах прошли защиты проектов в рамках программы «Технологическое предпринимательство». Команды из учеников инженерных, предпринимательских и ИТ-классов представили свои идеи и первые результаты работы наставникам и экспертам. 📖 Масштаб программы — 1347 школьников из 30 школ, объединившихся в 296 команд. Вместе они разрабатывали технологические решения для реальных задач: о…

❤4

10 Nov 2026, 10:17 UTC199 views5 reactionsread 12 November 2026
Photo

Главная проверка предпрофессиональной подготовки — регистрация на экзамен открыта 📖 Для выпускников предпрофессиональных классов это один из ключевых этапов обучения. Экзамен «Интеллектуальный мегаполис. Потенциал» позволяет показать, чему ребята научились за годы профильной подготовки, и проверить свои знания в решении практических задач. Что будет? Школьники смогут продемонстрировать компетенции в выбранном напра…

👍2❤1💯1🔥1

9 Nov 2026, 13:26 UTC233 views5 reactionsread 12 November 2026
Photo

Как все успеть и не выгореть? Четыре приема тайм-менеджмента, которые помогут школьникам: 🍅 Техника помидора: 25 минут сосредоточенной работы, затем короткий перерыв. 🎰 Правило Парето: 20 % усилий могут приносить 80 % результата. Ищите задачи, которые действительно двигают вас к цели. 📌 Расстановка приоритетов: определяйте, что важно сделать сейчас, а что можно отложить или делегировать. ⏳ Буферное время: не заполня…

🔥2❤1👍1🤩1

6 Nov 2026, 13:52 UTC312 views6 reactionsread 12 November 2026

Posted without readable text

🔥3👍1🤩1😍1

4 Nov 2026, 08:02 UTC236 viewsread 12 November 2026
Forwarded from @mos_sobyaninVideo

С Днём народного единства! Этот государственный праздник напоминает нам о героических страницах отечественной истории и вдохновляет на новые свершения. Любовь к Родине и сплочённость делают нас сильнее, а наши цели — безусловно достижимыми. Вместе мы преодолеем все испытания, выстоим и победим. Желаю вам, дорогие москвичи, крепкого здоровья, благополучия и новых достижений на благо любимой России. Подписаться на …

3 Nov 2026, 12:59 UTC346 views9 reactionsread 12 November 2026

Posted without readable text

❤3👍3custom 52921850563270059923

2 Nov 2026, 13:05 UTC324 views5 reactionsread 12 November 2026
Photo

Наука на каникулы не уходит🌱 Пока одни отдыхали от уроков, восьмиклассники естественно-научной вертикали исследовали почву, изучали бактерии и проверяли качество хлеба. Вместо привычных уроков — лаборатории, эксперименты и работа с современными технологиями. 100 школьников приняли участие в профильной смене «Иннагрики» на базе РГАУ-МСХА имени К. А. Тимирязева. За время интенсива ребята попробовали себя в разных на…

❤2👍2custom 52921850563270059921

30 Oct 2026, 13:00 UTC336 views3 reactionsread 10 November 2026
Photo

Код на вырост — от основ программирования к сложным задачам ➡️ Представьте, что нужно написать программу, которая сортирует список покупок, ищет нужное слово или помогает обработать большой объем данных. Для этого недостаточно знать язык программирования — важно еще продумать алгоритм и выбрать способ хранения информации. Этому учатся школьники на новом курсе программирования от экспертов «Яндекса». Его начали изуч…

👍1🔥1custom 52921850563270059921

28 Oct 2026, 09:54 UTC364 views4 reactionsread 10 November 2026
Photo

Предпрофессиональное образование: делимся опытом и ищем новые решения 📖 Открыт прием заявок на Международную научно-практическую конференцию «Теория и практика предпрофессионального образования»! ➡️ Кого приглашаем? Педагогов и кураторов предпрофессиональных классов и образовательных вертикалей, преподавателей колледжей и вузов, управленческие команды школ и представителей индустриальных партнеров. ➡️ О чем будем …

custom 52921850563270059923💯1

27 Oct 2026, 14:30 UTC306 views4 reactionsread 10 November 2026
Photo

«Мы не можем ждать милостей от природы, взять их у нее — наша задача» — эта известная фраза Ивана Мичурина отражает саму суть селекции: наблюдать за растениями, изучать их свойства и искать способы улучшить их рост. Сегодня московские школьники продолжают эту традицию, используя экспериментальные методы и знание современной биологии. ➡️ Анжелина Фульга из медицинского класса школы № 1747 разработала биоленту для выр…

❤1👍1💯1custom 52921850563270059921

Showing the 12 most recent of 36 posts we hold for @mospredprof. 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

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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Московское образование
@depobr_mos · 200,868
Telegram ranks this channel #11 of 97 here — alongside 96 others — read 11 August 2026
Москва о важном
@social_mos_news · 110,907
Telegram ranks this channel #44 of 93 here — alongside 92 others — read 13 August 2026
Россия — мои горизонты
@russia_my_horizons · 20,716
Telegram ranks this channel #48 of 94 here — alongside 93 others — read 25 September 2026
Колледжи Москвы
@collegemoscow · 36,848
Telegram ranks this channel #56 of 85 here — alongside 84 others — read 30 August 2026
Просвещение. Педагоги
@prosv_pedagogi · 19,261
Telegram ranks this channel #85 of 92 here — alongside 91 others — read 2 October 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“Моспредпроф” (@mospredprof), 6,832 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/mospredprof.

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.