О прививках. Понятно. Логично. Этично
Для тех, кто хочет и готов разбираться
Автор — О́бласова Антонина, директор АНО Коллективный иммунитет
💸vaccina.info/donate
✉️vk.com/ninavaccina
Правила t.me/ninavaccina/1350
Гл.админ @qriver
YMReferral
Created
8 February 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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
54 measurements spanning 86 days, net +913. 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 89,295–90,482 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 54
Measured (UTC)
Subscribers
Change
30 Oct 2026, 23:50
90,345
+18
28 Oct 2026, 21:46
90,327
+8
27 Oct 2026, 20:46
90,319
+18
26 Oct 2026, 20:44
90,301
-7
25 Oct 2026, 21:19
90,308
+64
24 Oct 2026, 22:26
90,244
+1
24 Oct 2026, 00:36
90,243
+5
23 Oct 2026, 01:39
90,238
-7
22 Oct 2026, 03:59
90,245
-13
20 Oct 2026, 20:25
90,258
+21
19 Oct 2026, 19:27
90,237
+16
18 Oct 2026, 16:31
90,221
+7
17 Oct 2026, 17:39
90,214
-5
16 Oct 2026, 15:54
90,219
+4
15 Oct 2026, 17:57
90,215
+3
14 Oct 2026, 18:19
90,212
+19
13 Oct 2026, 08:47
90,193
+11
9 Oct 2026, 07:56
90,182
+16
5 Oct 2026, 00:21
90,166
+122
27 Sept 2026, 21:17
90,044
first reading
Engagement
87 posts held, back to 18 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 174 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.8%
avg views ÷ 90,345 subscribers
Avg views / post
12,400
26 posts measured
Reaction rate
3.21%
reactions ÷ views · ER floor
Posts in window
27
of 87 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
Window
Rolling 30 days · latest post in window 29 October 2026
Posts held
87 (18 July 2026 – 29 October 2026)
Views total
323,160
Reactions total
10,387
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
31 Oct 2026, 05:52 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
≈1,060
Videos
≈77
Links
≈1,110
Lifetime counters from Telegram’s own channel header, read 31 October 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
1m 05s
Average length
16s
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
37,065 reactions across 85 posts, in 14 distinct kinds. The most used accounts for 49.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
18,467
49.8%
🔥
4,514
12.2%
👍
4,479
12.1%
😭
3,802
10.3%
😱
1,931
5.21%
🤬
1,104
2.98%
🙏
720
1.94%
🤯
663
1.79%
🎉
470
1.27%
😁
285
0.769%
💯
274
0.739%
😍
235
0.634%
✍
87
0.235%
🤔
34
0.092%
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 85 of the 87 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 37,065 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 87 most recent posts we hold, published 18 July 2026 to 29 October 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.
Telegram Stars
Stars received
86
across the posts below
Posts paid on
21
of 85 we hold a reading for · 25%
Most on one post
50
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ninavaccina. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 87 most recent posts we hold for this entry, published 18 July 2026 to 29 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Advertising
Ad load
1.15%
1 of 87 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
15,000
over 1 measured post
Median views · rest
15,000
over 84 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2Vtzqwm9A4u
1
4 October 2026
4 October 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 87 most recent posts we hold, published 18 July 2026 to 29 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Отпуск закончился. Отдых с детьми — это оксюморон, поэтому не могу сказать, что отдохнула, но
⭐ омеги запасла на год вперёд (каждый день на обед и ужин была чудесная свежая рыба).
⭐ Познакомилась с классными ребятами, с которыми надеюсь ещё когда-нибудь увидеться 🔥
⭐ Первый раз воспользовалась медицинской страховкой в путешествии: прокатились на првивику от бешенства (аж 2 раза успели). Будем продолжать в России.
…
Можно 200 раз сказать ребенку «не трогай кошек», а то придется ехать делать прививку от бешенства, если укусит или поцарапает. И потом все равно поехать делать прививку от бешенства :))
На территории нашего отеля есть небольшой кошачий приют. Это кошки с улицы, у них есть прививки, но в случае с бешенством это не повод расслабляться. Вакцинация нужна все равно.
У меня страховка от банка. Я написала в чат, сообщила …
Прививки — это не смешно, но даже о серьезных темах можно говорить легко :) Сходила в гости к звезде женского стендапа Ярославе Тринадцатко. Обсудили грипп, чуму, ветрянку, секс и разбили пару розовых очков мужу Ярославы :)
А вы привились?! 💉
Осень это сезон не только тыквенного латте, но еще и простуд. Поэтому в «совершенно декретно» мы позвали Антонину Обласову, биолога и популяризатора вакцинации ❤️ а также моего супруга Андрея Салеева 💫
Пишите в комментариях под выпуском ваши любимые болезни! Обнимаем всех, без кашля!
Выпуск про вакцины 💉
Жертвы клещевого энцефалита
28-летняя Анастасия Ширяева из Новосибирска много лет борется за жизнь после укуса клеща. Он укусил девушку в ногу во время прогулки в парке, но, когда Настя приехала в больницу, врачи сделали укол иммуноглобулина и отпустили девушку домой (а что они еще могли сделать?). Клеща на анализ не взяли — сослались на то, что после выходных понять, зараженный он или нет, уже не удастся. А как мы …
Как отключить возможность автоматического добавления вас в какие-либо чаты в настройках телеграм:
1. Зайдите в настройки
2. Найдите пункт "Конфиденциальность"
3. Скролльте вниз до строки "Приглашения"
4. Выберите пункт:"Никто" и при желании пропишите пользователей, которые смогут закидывать вас в чаты (не рекомендуем, взломать можно любого)
После подобных изменений добавить вас без вашего участия куда-то не выйдет,…
Уважаемые друзья!
Какой-то демон спам-бот добавляет участников нашего канала в подозрительный чат, который ЯКОБЫ привязан к нашему каналу. Это выглядит максимально похоже на него, но это не мы!
Проверьте, пожалуйста, свои подписки! Рекомендуем отключить возможность автодобавления вас в какие-либо чаты в настройках телеграма!
Если вы видите подобное приглашение - выходите.
Мы не собираем никаких средств и не прода…
👩⚕️Неочевидная педиатрия: курс для детских врачей
В работе педиатра на первый взгляд нет ничего сложного, ведь дети в основном болеют чем-то тривиальным: банальные ОРВИ, кишечные расстройства. То, что и лечить то особо не надо. Но именно в этой простоте и таится главная ловушка: есть риск не расслышать стук копыт зебры, если вы понимаете о чем я.
🕵️Разобраться в неочевидных вопросах и пересмотреть устаревшие подхо…
🧪 Наш новый Viewpoint о том, как нерецензированное исследование стало политическим аргументом
9 сентября 2025 года подкомитет Сената США провёл слушания под названием «Как коррупция науки повлияла на общественное восприятие и политику в отношении вакцин». Центральным аргументом стал документ, которого не существовало в научной литературе - анализ медицинских записей 18 468 детей, родившихся с 2000 по 2016 год в одно…
Жертвы клещевого энцефалита
В 2016 году врачам Екатеринбурга удалось спасти подростка, которого укусили сразу два клеща — в шею и подмышку. Вместе с отцом Артем отдыхал в лагере на природе и не придал значения укусам, а когда появились первые признаки заражения — пил аспирин и жаропонижающие. Когда состояние ухудшилось, родители отвезли парня в больницу, далее 12 суток за Артема дышал аппарат искусственной вентиляци…
😭320❤111👍31🙏7😱1
Showing the 12 most recent of 87 posts we hold for @ninavaccina. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@ninavaccina edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
12 August 2026
Most recent edit
30 October 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 55 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 22 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@ninavaccina named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@ninavacina named in 2 posts, 25 August 2026 – 29 August 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 17 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Доктор Неешпапа 🫁 /doctor_neeshpapa/ @doctor_neeshpapa · 31,852 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 5 September 2026
MAMA_SINKA @mama_sinka · 40,732 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 29 August 2026
Doctor_marusenyka @sovetdaymotiv · 23,842 Telegram ranks this channel #2 of 97 here — alongside 96 others — read 17 September 2026
doctor_annamama @doctor_annamama · 82,454 Telegram ranks this channel #3 of 90 here — alongside 89 others — read 18 August 2026
ImmunoBee @immunobee1 · 103,976 Telegram ranks this channel #3 of 95 here — alongside 94 others — read 16 August 2026
Шура, выручай! @shura_help · 34,526 Telegram ranks this channel #4 of 95 here — alongside 94 others — read 3 September 2026
Помощник педиатра | МедикУм @pomoshnik_pediatra · 23,767 Telegram ranks this channel #5 of 94 here — alongside 93 others — read 17 September 2026
Клинфарм замес | Евгений Никитин @tgnikitin · 44,178 Telegram ranks this channel #5 of 87 here — alongside 86 others — read 28 August 2026
Справочник педиатра @pediatrhelp · 19,290 Telegram ranks this channel #7 of 92 here — alongside 91 others — read 2 October 2026
Намочи манту @namochimanturu · 56,257 Telegram ranks this channel #7 of 95 here — alongside 94 others — read 23 August 2026
ДОКТОРБЛОГЕР @doctorbloger_live · 38,717 Telegram ranks this channel #8 of 72 here — alongside 71 others — read 1 September 2026
Пей таблетки! | MedIQLab @mediq · 65,631 Telegram ranks this channel #8 of 93 here — alongside 92 others — read 21 August 2026
Федиатрия @fediatrix · 53,954 Telegram ranks this channel #11 of 96 here — alongside 95 others — read 24 August 2026
👋Osokina_doc детский стоматолог @osokina_doc · 29,466 Telegram ranks this channel #12 of 81 here — alongside 80 others — read 9 September 2026
Педиатр Римма Зарипова @rimmapediatr · 26,664 Telegram ranks this channel #14 of 76 here — alongside 75 others — read 11 September 2026
ДОКТОР ВАРНАВСКИЙ @doctor_varnavskiy · 24,762 Telegram ranks this channel #15 of 82 here — alongside 81 others — read 13 September 2026
Профессия – педиатр @profpediatrician · 19,639 Telegram ranks this channel #16 of 98 here — alongside 97 others — read 1 October 2026
Доктор Молодой @doctor_dmolodoy · 61,531 Telegram ranks this channel #19 of 94 here — alongside 93 others — read 22 August 2026
Смотровая Военврача @dr_voenvrach · 45,153 Telegram ranks this channel #22 of 98 here — alongside 97 others — read 28 August 2026
MD.school | Медицинский онлайн-университет | Доказательная медицина @medicina_discendi · 21,243 Telegram ranks this channel #23 of 98 here — alongside 97 others — read 25 September 2026
Страшная химия @chemistrybyolga · 33,651 Telegram ranks this channel #25 of 91 here — alongside 90 others — read 4 September 2026
Эффект Бочковой @OlgaBochkovaAcademy · 19,473 Telegram ranks this channel #27 of 92 here — alongside 91 others — read 29 September 2026
Дневник доктора Белолипецкой @dr_belolipetskaia · 44,308 Telegram ranks this channel #27 of 90 here — alongside 89 others — read 27 August 2026
Дерматоонколог Бейнусов @dmitry_beinusov · 31,356 Telegram ranks this channel #28 of 95 here — alongside 94 others — read 6 September 2026
This channel appears in 83 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 30 October 2026 — this
entry's latest reading, not the date you are reading this.
“ninavaccina” (@ninavaccina), 90,345 subscribers as measured 30 October 2026. Telegram Register, tgregister.com/channel/ninavaccina.
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.