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Channel

Федеральный регистр доноров костного мозга | Москва

@rdkm_rnimu

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

3,689subscribers

+4 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001755191986
TypeChannel
Username@rdkm_rnimu
Created25 February 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/rdkm_rnimu

Growth

3,6853,6893,6875 August 2026 — 3,685 subscribers6 August 2026 — 3,685 subscribers7 August 2026 — 3,686 subscribers12 August 2026 — 3,689 subscribers5 August 202612 August 2026
4 measurements spanning 7 days, net +4. 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 3,684–3,690 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 14:353,689+3
7 Aug 2026, 00:343,686+1
6 Aug 2026, 04:323,685no change
5 Aug 2026, 22:333,685first reading

Engagement

8 posts held, back to 22 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 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
17.9%
avg views ÷ 3,689 subscribers
Avg views / post
660
8 posts measured
Reaction rate
10.4%
reactions ÷ views · ER floor
Posts in window
8
of 8 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 7 August 2026
Posts held8 (22 July 20267 August 2026)
Views total5,282
Reactions total549
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 22:56 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.

Reaction mix

417 reactions across 6 posts, in 5 distinct kinds. The most used accounts for 50.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
21150.6%
🔥9823.5%
custom 52807021734983313678921.3%
👍122.88%
👏71.68%

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 isTelegram’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 8 of the 8 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 549reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 22 July 2026 to 7 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

7 Aug 2026, 16:19 UTC224 views36 reactionsread 7 August 2026
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Каждая третья суббота – донорская акция в Пироговском Университете Ежегодно около 2 000 человек в России нуждаются в трансплантации костного мозга. Для многих это единственный шанс выжить, но найти совместимого донора сложно из-за уникальности HLA-генотипа. 15 августа мы проводим донорскую акцию. Чтобы вступить в Федеральный регистр доноров костного мозга, нужно будет сдать одну пробирку венозной крови. ➡️ Кто мож

19custom 528070217349833136710🔥7

7 Aug 2026, 10:13 UTC380 views55 reactionsread 7 August 2026
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«Просто человек спасает человека» Для Александры Бирюковой, 129 донора Регистра Пироговского Университета, донорство костного мозга стало возможностью помочь другому ещё до окончания медицинского Университета. Александра – студентка Сеченовского Университета. В Федеральный регистр доноров костного мозга она вступила на акции Российских студенческих отрядов. Сделать этот шаг её вдохновил личный пример Юлии Дрожжино

22custom 528070217349833136717🔥16

6 Aug 2026, 07:10 UTC450 views57 reactionsread 7 August 2026
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Что произошло в июле? VK Fest, ИНВИТРО, форумы Росмолодёжи и 828 пробирок. Рассказываем... ➡️Организовали площадку по вступлению в Федеральный регистр доноров костного мозга на VK Fest. ➡️Работали на форумах «Волга», «Территория смыслов» и фестивале «Больше, чем путешествие». ➡️Провели ежемесячную субботнюю донорскую акцию – к Федеральному регистру присоединились 100 новых потенциальных доноров. ➡️Вместе со Студе

30🔥14custom 528070217349833136713

3 Aug 2026, 09:12 UTC658 views83 reactionsread 7 August 2026
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После ночной смены – на донорскую акцию В 2025 году Елизавета Яшкина увидела публикацию о донорстве костного мозга в канале «Фаустов лес». После ночной смены она приехала на ежемесячную субботнюю акцию и вступила в Федеральный регистр. Елизавета – 128 донор Регистра Пироговского Университета. Она не ожидала, что совпадение с пациентом произойдёт так быстро. Подробнее – в карточках ⬆️ #истории_героев

45custom 528070217349833136721🔥17

28 Jul 2026, 14:17 UTC947 views72 reactionsread 7 August 2026
Photo

Вступить в Федеральный регистр стало проще. Проверьте, есть ли ИНВИТРО в вашем городе Пироговский Университет и ИНВИТРО начали сотрудничество. 📍Теперь вступить в Федеральный регистр можно ещё и в 1 915 медицинских офисах ИНВИТРО – от крупных городов до самых отдалённых точек России. Если вы давно хотели вступить в Регистр, но откладывали, потому что в вашем городе не было партнёрской лаборатории, – самое время про

37🔥20custom 528070217349833136711👍2👏2

27 Jul 2026, 14:17 UTC861 views114 reactionsread 7 August 2026
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«Мой пациент – малыш, родившийся в 2024 году» Эксфузия – метод донации костного мозга, который проводится в 10% случаев. Его выбирают, когда пациент – ребенок весом до 30 кг. 127-й донор Регистра Пироговского Университета Евгений Гапич вступил в Федеральный регистр, сдав пробирку крови в лаборатории KDL. Всего через полгода он получил звонок о совпадении и стал донором костного мозга методом эксфузии. Его история

58🔥24custom 528070217349833136717👍10👏5

23 Jul 2026, 17:40 UTC≈977 views70 reactionsread 6 August 2026
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Только твой Дима Билан донор костного мозга Для большинства участников VK Fest самым ожидаемым человеком фестиваля стал секретный гость. 🤗 Но команда Регистра ждала совсем других людей – тех, кто решится сделать шаг навстречу спасению другой жизни. Спасибо каждому, кто подходил к нашему стенду, интересовался, поддерживал и вступил в Федеральный регистр! 🔴Узнать, где и как вступить в Федеральный регистр доноров ко

22 Jul 2026, 17:20 UTC≈785 views62 reactionsread 6 August 2026
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«Завтра Благовещение – всё будет хорошо» Для Алины Богачевой, 126 донора Регистра Пироговского Университета, совпадение с пациентом произошло спустя три с половиной года после вступления в Федеральный регистр. За день до повторной сдачи крови Алина переживала, подтвердится ли совпадение с пациентом. Тогда папа сказал ей: «Завтра Благовещение – всё будет хорошо». Позже для Алины стало очень символичным, что повторны

Showing the 8 most recent of 8 posts we hold for @rdkm_rnimu. 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 — 66,941 of 1,480,688entries 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

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 12 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Федеральный регистр доноров костного мозга | Москва” (@rdkm_rnimu), 3,689 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/rdkm_rnimu.

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.