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Channel

К настоящим изменениям

@ngo_changemakers

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

5,538subscribers

-15 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-1002524354786
TypeChannel
Username@ngo_changemakers
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/ngo_changemakers

Growth

5,5385,5535,545.57 August 2026 — 5,553 subscribers7 August 2026 — 5,553 subscribers8 August 2026 — 5,552 subscribers10 August 2026 — 5,542 subscribers14 August 2026 — 5,540 subscribers17 August 2026 — 5,538 subscribers7 August 202617 August 2026
6 measurements spanning 10 days, net -15. 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 5,536–5,555 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 16:175,538-2
14 Aug 2026, 06:585,540-2
10 Aug 2026, 21:435,542-10
8 Aug 2026, 04:525,552-1
7 Aug 2026, 18:465,553no change
7 Aug 2026, 18:355,553first reading

Engagement

13 posts held, back to 23 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 6 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.5%
avg views ÷ 5,538 subscribers
Avg views / post
637
13 posts measured
Reaction rate
1.92%
reactions ÷ views · ER floor
Posts in window
13
of 13 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held13 (23 July 202611 August 2026)
Views total8,283
Reactions total159
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:09 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
3m 42s
Average length
56s

Measured directly from 4 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

159 reactions across 13 posts, in 3 distinct kinds. The most used accounts for 69.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11169.8%
🔥4628.9%
👍21.26%

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 13 of the 13 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 159reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 23 July 2026 to 11 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

11 Aug 2026, 06:00 UTC328 views8 reactionsread 12 August 2026
Photo

🔴 Через час, в 10:00 (мск), встречаемся на вебинаре «От анкеты до базы данных: как выстроить цифровой учет благополучателей в НКО». Разберем, как собрать данные о благополучателях и участниках мероприятий в одну систему — чтобы нужные сведения всегда были под рукой, а перед отчетом их не приходилось заново собирать из чатов, почты и десятка таблиц. После вебинара вы получите гайд «Организация цифрового сбора и хран

8

10 Aug 2026, 07:25 UTC409 views16 reactionsread 12 August 2026

Наталья Резникова, один из спикеров вебинара и руководитель центра развития обучающей среды Школы управления НКО, приглашает присоединиться к встрече 💥 Ждем вас завтра, 11 августа, в 10:00 (мск) на вебинаре «От анкеты до базы данных: как выстроить цифровой учет благополучателей в НКО». После вебинара вы сможете выстроить процесс регистрации и учета для своей организации: 💛 быстрее находить актуальные сведения о бл

16

10 Aug 2026, 07:25 UTC374 views29 reactionsread 12 August 2026
Video message

Video message, posted without a caption

17🔥12

6 Aug 2026, 06:13 UTC553 views15 reactionsread 12 August 2026
Forwarded from @presidentialgrantsVideo

«Мой сын пережил онкологию, а сегодня сам спасает жизни». История Татьяны Сачко «Рак не должен разрушить семью». Так Татьяна Сачко, директор благотворительного движения «Искорка Фонд» из Челябинска, формулирует свой подход к работе. Уже 36 лет организация помогает детям с онкологическими заболеваниями и их родителям, братьям и сестрам вместе проходить через болезнь и восстановление. В 2009 году Татьяна сама была ма

15

5 Aug 2026, 09:00 UTC613 views8 reactionsread 12 August 2026
Photo

Когда данные о благополучателях живут в разных местах 💭 Человек зарегистрировался на мероприятие через форму, но потом написал в чате, что не придет. Кто-то был на встрече, но отметку внесли по памяти. Часть списка участников — в электронной таблице, другая — в почте, еще часть — в личных заметках координатора. Пока проектов немного, можно вручную переносить информацию о благополучателях из одного файла в другой. Н

6👍1🔥1

4 Aug 2026, 09:54 UTC534 views6 reactionsread 12 August 2026
Video

Что вдохновило человека, который пережил рак и пересадку костного мозга, стать онкологом? Полный выпуск — уже на этой неделе. Подписывайтесь на сообщество, чтобы увидеть его первыми ➡️ https://vk.ru/school__pgrants

🔥6

3 Aug 2026, 10:53 UTC652 views17 reactionsread 12 August 2026
Photo

Как НКО навести порядок в данных о благополучателях? Анкеты, таблицы, сообщения в почте, записи в блокноте — сведения о благополучателях часто собираются из разных источников. Пока организация небольшая, это можно делать вручную. Но со временем информации становится больше, и уже сложно быстро понять, кто был на мероприятии, сколько раз человек участвовал в проекте, где хранятся нужные данные и какие показатели поп

🔥134

31 Jul 2026, 07:34 UTC824 views7 reactionsread 12 August 2026
Photo

Спасибо всем командам, которые заполнили анкету на программу «НКО.Коммуникации» и подробно рассказали о задачах своей организации. Мы получили 148 анкет. Впереди непростая работа — выбрать из них 35 команд, которые станут участниками программы. С интересом читаем ответы и приглашаем часть команд на следующий этап — видеоинтервью. На встрече познакомимся ближе и обсудим, что вы хотите изменить в коммуникациях своей

7

30 Jul 2026, 07:53 UTC765 views5 reactionsread 12 August 2026
Video

Как предотвратить выгорание у сотрудников по ОМС? Полный выпуск по ссылке 👉 https://vkvideo.ru/video-143830192_456240875?pl=-143830192_6

5

28 Jul 2026, 08:45 UTC880 views6 reactionsread 12 August 2026
Photo

💥 Завтра, 29 июля — последний день приема анкет на программу «НКО.Коммуникации» На заполнение анкеты запланируйте около 2 часов. Вот сколько времени понадобится на каждый этап: 🧡 5 минут Войдите на платформу «Созидатели» через аккаунт руководителя организации. Основную анкету подает руководитель. 🧡 10 минут Создайте аккаунт руководителя, если его еще нет. 🧡 10–15 минут Откройте анкету и посмотрите вопросы. Так бу

6

27 Jul 2026, 08:44 UTC764 views6 reactionsread 12 August 2026
Photo

«Мы и так ведем соцсети, что еще нужно?». «Надо больше подписчиков, тогда и доноры появятся». «Вот выиграем грант, наймем СММщика, тогда и займемся соцсетями». Такие мысли кажутся логичными. Но из-за них коммуникации отнимают силы и не приносят пользы: публикуете посты, отправляете рассылки, а партнеров и пожертвований не прибавляется. В карточках собрали 6 мифов, которые мешают коммуникациям работать на задачи орг

🔥5👍1

24 Jul 2026, 08:56 UTC928 views23 reactionsread 12 August 2026
Photo

💥 Нейросеть не умеет читать ваши мысли Если не дать достаточных вводных, нейросеть заполнит пробелы сама — и вернет текст с натянутыми метафорами и пустыми словосочетаниями: «эффективные решения», «новые горизонты», «уникальный опыт». Такой пост читатель узнает с первых строк: за ним не чувствуется живой автор. 📌 Чем точнее запрос, тем меньше времени вы тратите на «перепиши», «не так», «давай ещё раз». В карточках

17🔥6

Showing the 12 most recent of 13 posts we hold for @ngo_changemakers. 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 — 341,435 of 1,549,376entries 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 4 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.

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

“К настоящим изменениям” (@ngo_changemakers), 5,538 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/ngo_changemakers.

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.