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Channel

Точки взаимодействия СПО

@tochkavzaimodeystviyaspo

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

6,951subscribers

-179 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-1001572976796
TypeChannel
Username@tochkavzaimodeystviyaspo
Description🔹VK: https://vk.com/tochkispo 🔹МАКС https://max.ru/tochkispo 🔹Навигатор СПО: https://t.me/navigator_spo_bot 🔹Навигатор ФГОС СПО: https://t.me/navigator_fgos_bot 📩 Консультационно-методическая поддержка системы СПО при реализации ОП: [email protected]
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/tochkavzaimodeystviyaspo

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 100% 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

6,9517,1317,0417 August 2026 — 7,130 subscribers7 August 2026 — 7,130 subscribers7 August 2026 — 7,131 subscribers10 August 2026 — 7,121 subscribers14 August 2026 — 7,109 subscribers17 August 2026 — 7,102 subscribers20 August 2026 — 7,088 subscribers24 August 2026 — 7,077 subscribers27 August 2026 — 7,079 subscribers30 August 2026 — 7,072 subscribers2 September 2026 — 7,059 subscribers6 September 2026 — 7,050 subscribers11 September 2026 — 7,047 subscribers14 September 2026 — 7,040 subscribers24 September 2026 — 7,024 subscribers4 October 2026 — 7,010 subscribers11 October 2026 — 6,995 subscribers14 October 2026 — 6,991 subscribers17 October 2026 — 6,984 subscribers20 October 2026 — 6,983 subscribers23 October 2026 — 6,982 subscribers26 October 2026 — 6,977 subscribers29 October 2026 — 6,974 subscribers1 November 2026 — 6,966 subscribers5 November 2026 — 6,956 subscribers8 November 2026 — 6,951 subscribers7 August 20268 November 2026
26 measurements spanning 93 days, net -179. 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 6,924–7,158 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, 03:066,951-5
5 Nov 2026, 00:266,956-10
1 Nov 2026, 14:316,966-8
29 Oct 2026, 15:546,974-3
26 Oct 2026, 17:316,977-5
23 Oct 2026, 09:466,982-1
20 Oct 2026, 15:496,983-1
17 Oct 2026, 23:076,984-7
14 Oct 2026, 21:586,991-4
11 Oct 2026, 13:556,995-15
4 Oct 2026, 18:027,010-14
24 Sept 2026, 23:597,024-16
14 Sept 2026, 23:207,040-7
11 Sept 2026, 01:367,047-3
6 Sept 2026, 01:387,050-9
2 Sept 2026, 03:377,059-13
30 Aug 2026, 03:147,072-7
27 Aug 2026, 07:137,079+2
24 Aug 2026, 05:127,077-11
20 Aug 2026, 13:077,088first reading

Engagement

42 posts held, back to 28 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 23 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.67%
avg views ÷ 6,951 subscribers
Avg views / post
394
17 posts measured
Reaction rate
0.41%
reactions ÷ views · ER floor
Posts in window
17
of 42 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 7 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 5 November 2026
Posts held42 (28 July 2026 – 5 November 2026)
Views total6,697
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 21:03 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
489
Videos
274
Links
890

Lifetime counters from Telegram’s own channel header, read 9 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
9m 40s
Average length
1m 37s

Measured directly from 6 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

64 reactions across 21 posts, in 6 distinct kinds. The most used accounts for 45.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2945.3%
❤2132.8%
🔥1015.6%
✍23.13%
custom 547214646236204881811.56%
👏11.56%

Custom emoji. One row above is a 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 count beside it is 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 23 of the 42 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 64 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 42 most recent posts we hold, published 28 July 2026 to 5 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).

5 Nov 2026, 06:04 UTC233 viewsread 9 November 2026
Photo

#Вопрос_Ответ В рамках рубрики продолжаем освещать актуальные вопросы, связанные с разработкой ОПОП, ОПОП-П и работой с Цифровым конструктором компетенций (ЦКК) 🎓 Сегодня рассмотрим особенности работы с общими компетенциями (ОК) при разработке ОПОП-П в ЦКК ➡️ ОК формируются на Шаге 5 «Общие компетенции» Вопрос 1 ❓ Как изменить наименование общей компетенции? ✅ Изменение наименований, добавление или удаление ОК не …

3 Nov 2026, 12:15 UTC276 viewsread 9 November 2026
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Обеспечиваем технологическое лидерство страны вместе — обновляем программы СПО! Приглашаем педагогов и методистов изучить проекты примерных рабочих программ модулей для подготовки кадров и поделиться профессиональным мнением 💡 Задача этих программ — сформировать у студентов профессиональные компетенции с учетом задач нацпроектов технологического лидерства и запросов работодателей ✉️ Ознакомиться с проектами и оста…

2 Nov 2026, 13:25 UTC302 viewsread 9 November 2026
Photo

#Вопрос_Ответ В рамках рубрики продолжаем освещать актуальные вопросы, связанные с разработкой ОПОП, ОПОП-П и работой с Цифровым конструктором компетенций (ЦКК) 🎓 Сегодня рассмотрим общие вопросы, касающиеся Сборника профилей компетенций выпускников Сборник – это сводный документ по 24 отраслям, состоящий из профилей компетенций Кластеров, разработанных, начиная с 2022 года ➡️ Сборник ПК составлен по отраслям: ⏺️ о…

30 Oct 2026, 14:46 UTC374 viewsread 9 November 2026
Video

Как разрабатывать конкурентоспособные образовательные программы СПО с учетом требований ФГОС, профстандартов и запросов работодателей? 29–30 октября в г. Липецк по приглашению Группы НЛМК прошла программа повышения квалификации «Разработка конкурентоспособных программ среднего профессионального образования». Обучение прошло в рамках расширения партнерства крупнейшего работодателя горно-металлургической отрасли для р…

29 Oct 2026, 16:23 UTC934 views3 reactionsread 9 November 2026
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Стартовал прием заявок на Межрегиональный конкурс профессионального мастерства «БЕРЕЖЛИВОЕ БУДУЩЕЕ» Организатор — Колледж автоматизации производства 💡 Участникам предстоит проверить свои силы в решении задач по бережливому производству: сначала на симуляторе, а в финале — на студенческой фабрике процессов в Санкт-Петербурге Конкурс проводится в четыре этапа: 1️⃣ Регистрационный этап (онлайн) — до 13 ноября 2️⃣ Отб…

👍2❤1

29 Oct 2026, 11:48 UTC314 views1 reactionsread 9 November 2026
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#Вопрос_Ответ В рамках рубрики продолжаем освещать актуальные вопросы, возникающие при работе с Цифровым конструктором компетенций (ЦКК) и разработке ОПОП 🎓 Сегодня рассмотрим особенности формирования структуры ОПОП-П на Шаге 8 «Циклы, модули и дисциплины ОП»: добавление профессиональных модулей (ПМ) по дополнительным видам деятельности (ВД), а также общепрофессиональных дисциплин (ОП), в том числе по запросу работ…

👍1

28 Oct 2026, 06:00 UTC310 viewsread 9 November 2026
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Профессиональное обсуждение проектов примерных рабочих программ модулей для подготовки кадров для отраслей технологического лидерства в рамках проекта «Технологический форпост» ⚡️️Приглашаем всех заинтересованных представителей профессионального и экспертного сообщества к участию в обсуждении проектов примерных рабочих программ модулей для включения в образовательные программы СПО Программы разработаны рабочими гру…

27 Oct 2026, 12:35 UTC326 viewsread 9 November 2026
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⚡️️ Приглашаем всех заинтересованных представителей профессионального и экспертного сообщества присоединиться к участию в обсуждении проектов примерных образовательных программ среднего профессионального образования (ПОП СПО), разработанных в 2026 году По профессиям: ⏺️ 08.01.ХХ Мастер строительного 3D принтера ⏺️ 15.01.22 Чертежник-конструктор И специальностям: ⏺️ 11.02.13 Твердотельная электроника ⏺️ 15.02.22 Про…

23 Oct 2026, 12:00 UTC500 viewsread 9 November 2026
Video

Эксперты ИРПО и ФУМО СПО обсудили, как внедрение робототехники меняет подготовку кадров СПО для промышленности Екатерина Бурганова, начальник отдела содержания СПО Управления развития содержания СПО ИРПО, Полина Майкова, председатель ФУМО СПО по УГПС 15.00.00 Машиностроение, и Николай Бурганов, председатель ФУМО СПО по УГПС 27.00.00 Управление в технических системах, провели рабочий визит в Политехническое отделение…

22 Oct 2026, 13:00 UTC447 views1 reactionsread 9 November 2026
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От запроса работодателя — к подготовке востребованных специалистов 📢 Это и многое другое обсудим с 17 по 18 ноября на Всероссийском форуме федеральных учебно-методических объединений в системе среднего профессионального образования 💡 В центре внимания: ⏺️ запросы работодателей и новые квалификации — какие компетенции необходимы экономике и как отразить их в подготовке специалистов ⏺️ обновление содержания СПО — от …

❤1

22 Oct 2026, 11:59 UTC305 viewsread 9 November 2026
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#Вопрос_Ответ В рамках рубрики продолжаем освещать актуальные вопросы, возникающие при работе с Цифровым конструктором компетенций (ЦКК) и разработке ОПОП 🎓 Сегодня рассмотрим особенности формирования матрицы компетенций выпускника, в том числе по дополнительным видам деятельности (ВД) по запросу работодателя ➡️ Формирование матрицы компетенций осуществляется на Шаге 7 «Матрица компетенций выпускника». Здесь отобра…

Showing the 12 most recent of 42 posts we hold for @tochkavzaimodeystviyaspo. 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

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.

Россия — мои горизонты
@russia_my_horizons · 20,723
Telegram ranks this channel #9 of 94 here — alongside 93 others — read 25 September 2026
Сферум
@sferumru · 21,579
Telegram ranks this channel #47 of 95 here — alongside 94 others — read 22 September 2026
Красный Конь | Институт воспитания
@institut_vospitaniya · 31,286
Telegram ranks this channel #47 of 94 here — alongside 93 others — read 5 September 2026
ПЕДАГОГИ РОССИИ: ИННОВАЦИИ В ОБРАЗОВАНИИ
@pedagogi_online · 73,751
Telegram ranks this channel #75 of 86 here — alongside 85 others — read 21 August 2026
Минпросвещения России
@minprosrf · 72,775
Telegram ranks this channel #91 of 97 here — alongside 96 others — read 19 August 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.

“Точки взаимодействия СПО” (@tochkavzaimodeystviyaspo), 6,951 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/tochkavzaimodeystviyaspo.

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.