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Channel

Влюбленные в образование. Канал бюро "Розетка"

@obrazovantsy

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

4,289subscribers

-14 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001589345119
TypeChannel
Username@obrazovantsy
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/obrazovantsy

Growth

4,2894,3064,297.56 August 2026 — 4,303 subscribers6 August 2026 — 4,306 subscribers10 August 2026 — 4,294 subscribers13 August 2026 — 4,289 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net -14. 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 4,286–4,309 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 08:244,289-5
10 Aug 2026, 02:014,294-12
6 Aug 2026, 17:104,306+3
6 Aug 2026, 06:344,303first reading

Engagement

11 posts held, back to 14 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 5 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.8%
avg views ÷ 4,289 subscribers
Avg views / post
676
8 posts measured
Reaction rate
2.58%
reactions ÷ views · ER floor
Posts in window
8
of 11 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 8 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 8 August 2026
Posts held11 (14 July 20268 August 2026)
Views total5,406
Reactions total137
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 11:50 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
13m 37s
Average length
4m 32s

Measured directly from 3 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

162 reactions across 10 posts, in 8 distinct kinds. The most used accounts for 60.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9860.5%
🔥3521.6%
116.79%
🥰53.09%
😁42.47%
❤‍🔥31.85%
💅31.85%
🕊31.85%

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 10 of the 11 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 162reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 14 July 2026 to 8 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.

Recent posts

8 Aug 2026, 11:08 UTC87 viewsread 8 August 2026
Photo

Вы месяц готовили презентацию инициативы: посчитали, продумали, подготовили аргументы — а на защите слышите, что надо докрутить, понизить сложность и вообще пока не время? Первым делом начинаете сомневаться в самой идее. Хотя обычно принимающему решение просто не хватает двух моментов: чего от него хотят в первую очередь и что это даст. 12 августа в 18:00 Артем Гусев, основатель бюро Глагол, проводит открытый онлай

5 Aug 2026, 14:30 UTC323 views13 reactionsread 8 August 2026
Photo

Стартуем 15 августа! 🔸 Программа «Искусство в образовании. Екатеринбург» уже готова: встречи, воркшопы, маршруты и продуманная программа каждого дня. Читайте в карточках ❤️ Группа почти укомплектована, но есть 2–3 места для тех, кто всё ещё раздумывает. Если вы хотели присоединиться, но откладывали — сейчас самое время сказать «да». В понедельник, 10 августа, мы закроем набор окончательно. Детали: 🗓️ 15–19 август

7🔥6

3 Aug 2026, 17:06 UTC931 views21 reactionsread 8 August 2026
Video

Тревожитесь, что скоро снова на работу? Тогда это ненемое! кино для вас! Разобрали проявления тревоги в коротком видео, а решать связанные с ними проблемы будем на нашем онлайн-интенсиве 15–16 августа. Вижу себя — вижу тебя: рефлексия, агентность и авторство в образовании и жизни. Это программа для тех, кто хочет подготовиться к учебному году без потери себя! Выгорание и усталость — это нормально. Это не слабость.

12🥰5😁4

29 Jul 2026, 09:37 UTC470 views24 reactionsread 8 August 2026
Photo

Собрались как-то на берегу Финского залива два фрилансера, психолог, ведущая обучающих курсов для владельцев собак (!), географ, биолог, историк и педагоги разных сфер и отлично провели целых 4 дня вместе! А все почему? Потому что вовремя подали заявки! 😁 Мы это к чему. Завершился «Кэмп* у моря» 🎆✨ и мы готовы поделиться яркими моментами и инсайтами с рефлексии программы. ✳️ Вау-метч «Для меня было самым ярким то,

12🔥7❤‍🔥32

23 Jul 2026, 08:04 UTC≈1,300 views19 reactionsread 8 August 2026
Video

Хочешь на Ателье непрофессиональных исследований, но не знаешь, какую тему взять? Лови вдохновение от автора программы Жени Рзаевой 🔥 Главное, чтобы тема была интересна тебе, остальное родится в процессе исследования. Вот как все будет происходить: 1️⃣ неделя. Догадка — 1 августа, 12:00–14:30 2️⃣ неделя. Собери — 3 августа, 18:00–20:00 3️⃣ неделя. Собери — 8 августа, 12:00–14:30 4️⃣ неделя. Разложи — 15 августа, 12

11🔥71

18 Jul 2026, 09:22 UTC799 views9 reactionsread 8 August 2026
Video message

Video message, posted without a caption

54

18 Jul 2026, 09:22 UTC≈1,000 views26 reactionsread 8 August 2026

9 недель на то, что ты любишь. Без экспертизы, зато с душой. Есть тема, на которую ты смотришь годами и всё равно мало? Мода, запахи детства, старые мультфильмы, шрифты или город, который не объяснить словами? «Ателье непрофессиональных исследований» — это 9 недель, чтобы наконец разобраться в том, что тебя по-настоящему цепляет. Без оценок «правильно/неправильно». Без диплома в конце. Зато с живым интересом и подд

🔥1094💅3

17 Jul 2026, 06:38 UTC625 views5 reactionsread 8 August 2026
Forwarded from @rozetka_to_businessPhoto

Люди, технологии и изменения в эпоху AI Искусственный интеллект всё чаще становится частью рабочих процессов. Компании запускают пилотные проекты, тестируют новые инструменты, перестраивают отдельные функции. Но главный вопрос сегодня уже не в технологиях. Как встроить изменения в работу организации так, чтобы они действительно приносили результат? 21 июля образовательное бюро «Розетка» и Центр ДПО НИУ ВШЭ приглаш

5

17 Jul 2026, 06:38 UTC473 views4 reactionsread 8 August 2026

Галя, у нас отмена! Отменяем все дела на вторник, 21 июля, чтобы проникнуться «Кодом компетенций будущего» от ДПО НИУ «ВШЭ»! Образовательное бюро «Розетка» совместно с коллегами из «Вышки» проведут экспертную дискуссию «Люди, технологии и изменения в эпоху AI». Подробности и ссылка на регистрацию в посте ниже.

4

14 Jul 2026, 13:55 UTC618 views16 reactionsread 8 August 2026
Video

У программы Кэмп* у моря сегодня сразу два праздничных события — старт программы, а еще день рождения у одного из организаторов, замечательной и опытной Саши Парфёновой 🔸❤️🔥 По этому случаю Полина Важова и Саша поговорили о выходе за рамки аудиторий в своем образовательном опыте, а еще поделились красотой места, где проходит программа 🔥 Смотрим, завидуем и записываемся на следующие программы Кэмпа* *Розетка Кэмп —

16

Showing the 11 most recent of 11 posts we hold for @obrazovantsy. 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.

Citation-graph rank

Citation-graph rank — 32,367 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 26 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

Happymaary
@Happpymaaary · 209
2 posts
Встречи Насти Живых✨Друг с Другом
@meetinspb · 290
2 posts
Образовательная урбанистика
@obrurb · 773
2 posts
Sci_Create
@scicreate · 5,897
2 posts
В поиске Бенуа
@apollo_abenois · 264
1 post
БЕРЁЗОВЫЙ БЛОК | русская словесность
@bereza_blok · 1,735
1 post
Лиза Чернягина | Опережая тренды
@cherniagina · 1,261
1 post
Город за стеной
@cozyfirelink · 91
1 post
МАГАЗИН НА ДИВАЙНЕ
@designdivine · 184
1 post
Михаил Мясоедов, Brinstaar и хор голосов в голове
@ere_brinstaar · 43
1 post
всё предельно
@everything_is_eventual · 1,749
1 post
Клуб добрых друзей города
@klubddg · 286
1 post
Светлана Кузнецова | Методология для бизнеса
@kuzsvprof · 145
1 post
Матфак внеучебка
@mathhse · 1,162
1 post
MORAKH
@morakhmusic · 108
1 post
Научили - подкаст про онлайн-образование
@nauchili · 412
1 post
nikalexxx
@nik_alex_flow · 480
1 post
NØ DANCE NØ CHANCE
@nodancenochance · 163
1 post
Пипл Френдли. Канал о коммуникациях
@people_friendly · 719
1 post
Podcastjob.ru
@podcastjob · 1,985
1 post
Розетка Lab x Владивосток
@rozetkalab_vladivostok · 35
1 post
Розетка Lab x Батуми
@rozetkalabbatumi · 11
1 post
Розетка Lab x Москва
@rozetkalabmsk · 439
1 post
СФЕРА ДАЙСОНА
@thedysonspheres · 2,114
1 post

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Влюбленные в образование. Канал бюро "Розетка"” (@obrazovantsy), 4,289 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/obrazovantsy.

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.