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Channel

ВРАЧИ ЗА ПРАВДУ

@vzpinfo

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

33,080subscribers

-328 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001297463542
TypeChannel
Username@vzpinfo
DescriptionСообщество думающих врачей и медработников
Created24 September 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held57
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/vzpinfo

Topic

Health & wellness — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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

33,08033,40833,2446 August 2026 — 33,408 subscribers6 August 2026 — 33,406 subscribers7 August 2026 — 33,408 subscribers9 August 2026 — 33,398 subscribers10 August 2026 — 33,396 subscribers11 August 2026 — 33,394 subscribers12 August 2026 — 33,392 subscribers13 August 2026 — 33,388 subscribers14 August 2026 — 33,373 subscribers16 August 2026 — 33,369 subscribers17 August 2026 — 33,366 subscribers18 August 2026 — 33,364 subscribers19 August 2026 — 33,363 subscribers20 August 2026 — 33,353 subscribers21 August 2026 — 33,348 subscribers24 August 2026 — 33,345 subscribers25 August 2026 — 33,340 subscribers26 August 2026 — 33,339 subscribers27 August 2026 — 33,335 subscribers28 August 2026 — 33,364 subscribers29 August 2026 — 33,360 subscribers30 August 2026 — 33,356 subscribers31 August 2026 — 33,354 subscribers1 September 2026 — 33,358 subscribers4 September 2026 — 33,362 subscribers6 September 2026 — 33,346 subscribers10 September 2026 — 33,333 subscribers12 September 2026 — 33,308 subscribers13 September 2026 — 33,298 subscribers15 September 2026 — 33,291 subscribers17 September 2026 — 33,278 subscribers27 September 2026 — 33,255 subscribers4 October 2026 — 33,237 subscribers9 October 2026 — 33,238 subscribers13 October 2026 — 33,223 subscribers14 October 2026 — 33,215 subscribers15 October 2026 — 33,208 subscribers16 October 2026 — 33,203 subscribers17 October 2026 — 33,202 subscribers18 October 2026 — 33,193 subscribers19 October 2026 — 33,187 subscribers22 October 2026 — 33,184 subscribers23 October 2026 — 33,176 subscribers24 October 2026 — 33,172 subscribers25 October 2026 — 33,166 subscribers26 October 2026 — 33,162 subscribers27 October 2026 — 33,156 subscribers29 October 2026 — 33,150 subscribers30 October 2026 — 33,147 subscribers31 October 2026 — 33,139 subscribers1 November 2026 — 33,138 subscribers2 November 2026 — 33,126 subscribers3 November 2026 — 33,125 subscribers4 November 2026 — 33,113 subscribers5 November 2026 — 33,107 subscribers6 November 2026 — 33,087 subscribers7 November 2026 — 33,080 subscribers6 August 20267 November 2026
57 measurements spanning 93 days, net -328. 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 33,031–33,457 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)SubscribersChange
7 Nov 2026, 06:5433,080-7
6 Nov 2026, 08:0733,087-20
5 Nov 2026, 11:0533,107-6
4 Nov 2026, 10:3633,113-12
3 Nov 2026, 13:3233,125-1
2 Nov 2026, 15:4633,126-12
1 Nov 2026, 12:2033,138-1
31 Oct 2026, 10:0733,139-8
30 Oct 2026, 10:3133,147-3
29 Oct 2026, 12:3533,150-6
27 Oct 2026, 12:0633,156-6
26 Oct 2026, 10:1833,162-4
25 Oct 2026, 08:5033,166-6
24 Oct 2026, 10:5933,172-4
23 Oct 2026, 07:2633,176-8
22 Oct 2026, 06:3833,184-3
19 Oct 2026, 19:5833,187-6
18 Oct 2026, 19:0033,193-9
17 Oct 2026, 16:2933,202-1
16 Oct 2026, 15:0733,203first reading

Engagement

16 posts held, back to 25 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 167 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.5%
avg views ÷ 33,080 subscribers
Avg views / post
3,810
1 post measured
Reaction rate
9.66%
reactions ÷ views · ER floor
Posts in window
1
of 16 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 5 November 2026
Posts held16 (25 December 2025 – 5 November 2026)
Views total3,810
Reactions total368
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 19:08 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
109
Videos
177
Links
366

Lifetime counters from Telegram’s own channel header, read 7 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
1h 51m
Average length
22m 20s

Measured directly from 5 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

8,381 reactions across 16 posts, in 25 distinct kinds. The most used accounts for 35.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💯2,99535.7%
🔥96311.5%
❤94811.3%
👍88910.6%
😱7649.12%
🤬6217.41%
😢4495.36%
🙏2643.15%
🤔1782.12%
🤯1191.42%
👏350.418%
😁320.382%
💔260.31%
⚡190.227%
😡190.227%
😭160.191%
👎110.131%
🤝110.131%
🎉60.072%
🥰50.06%
5 further kinds110.131%

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 16 of the 16 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 8,381 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 25 December 2025 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: 0 of 1 post held from the last 30 days (0%) 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, 21:00 UTC≈3,810 views368 reactionsread 7 November 2026
Forwarded from @Galina_Tsareva_officialPhoto

Швеция отказывается от мРНК-вакцин в рамках своей национальной программы, в то время как остальному миру по-прежнему говорят, что это единственный вариант. Швеция планирует заменить мРНК-вакцины на белковые вакцины в своей национальной кампании вакцинации против COVID-19 в 2027/28 годах. Они заявляют, что это первая страна, которая отказывается от мРНК-продуктов Pfizer/Moderna в рамках своей национальной программы.…

👍201💯111🔥18🤔17😢11❤8😈2

20 Sept 2026, 17:46 UTC≈10,400 views518 reactionsread 7 November 2026
Forwarded from @logos_timeVideo

Миллиардер-онколог произнес слова, которые ждали миллионы людей . Доктор Патрик Сун-Шонг, хирург, который изобрел наночастичную химиотерапию Abraxane, продал компании за миллиарды долларов и теперь владеет газетой LA Times, был гостем в специальном выпуске новостей NewsNation "Борьба с раком: сила внутри" с Крисом Куомо. Он посмотрел прямо в камеру и сказал: "Когда мы проводим биопсию этих новых агрессивных опухоле…

🔥272🤔83😢77👍40❤35💯5💔4👨‍💻2

8 Jul 2026, 15:54 UTC≈22,500 views581 reactionsread 7 November 2026

В каждом мед. заведении уже давно стоят компьютеры и все данные пациентов заносятся в них. Получается де-факто всё уже оцифровано. Вопрос просто сведения всего в одну базу. Но какова цель и риски? ➕Плюсы - пациенту не нужно будет брать выписки, таскать с собой историю болезни и т.д. Все будет доступно лечащему врачу и профильному специалисту при обращении. ➖Минусы - стирание понятия медицинской тайны и вероятные з…

💯447👍83❤33👎8👏5🥴5

10 May 2026, 17:40 UTC≈18,700 views542 reactionsread 7 November 2026
Forwarded from @FactCheckDreamWidthPhoto

Поул Торсен, один из ключевых авторов канонического датского исследования, на которое ссылаются абсолютно все утверждающие, что детские вakцuны не вызывают аутизм.... арестован за то, что воровал средства, выделяемые ему на исследование аутизма. Это не шутка, а официальный пресс-релиз Минюста США! https://www.justice.gov/usao-ndga/pr/autism-researcher-extradited-germany-face-federal-charges-stealing-cdc-grant-money

🤬272🤯119🔥49😁29🤔15😢13👍12❤11

15 Apr 2026, 13:37 UTC≈85,000 views451 reactionsread 7 November 2026
Video

На видео Патрик Сун-Шионг (родился 29 июля 1952 года) — южноафриканский и американский бизнесмен, инвестор, медицинский исследователь и хирург-трансплантолог. 26 марта 2025 года вышло интервью доктора Патрика Сун-Шионга с Такером Карлсоном под названием «Dr. Patrick Soon-Shiong: You’re Being Lied to About Cancer, How It’s Caused, and How to Stop It» (Видео на ЮТУБ) В ходе разговора Сун-Шионг выразил серьёзную обес…

💯205👍75😢60🔥43❤38🤔18🙏11🦄1

8 Apr 2026, 07:04 UTC≈17,100 views395 reactionsread 7 November 2026
Forwarded from @FactCheckDreamWidth

"К нашему удивлению, максимальная смертность от всех причин в Японии в возрастной группе 20-49 лет была отмечена у тех, кто принял 5 и более доз волшебных эликсиров" https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2026.1795437/abstract

😱184💯136💔22😭16❤14😡9🔥7🤔5

21 Mar 2026, 07:34 UTC≈22,300 views463 reactionsread 7 November 2026
Photo

Вакцины дают осложнения. Однако эта информация редко распространяется, потому что врачи не признают, что источник беды- вакцинация. В этом показательном случае родителям пришлось героически бороться 11 лет, доказывая в судах, что ребенок пострадал именно из-за вакцинации. 🔗Ссылку можно скопировать и открыть в Яндекс браузере, он предложит автоматический перевод на русский. https://childrenshealthdefense.org/defend…

🔥239❤82😢55👍30💯23😱16⚡11🙏4

15 Mar 2026, 10:39 UTC≈21,200 views453 reactionsread 7 November 2026
Forwarded from @anna_kpoPhoto

⚡️Новый анализ данных свидетельств о смерти CDC/NCHS с использованием анализа отклонений от тренда (DFT), проведенный изданием The Ethical Skeptic, выявил тревожное развитие событий: резкий, устойчивый рост младенческой и детской смертности среди тех, кто не болел COVID-19 и не получал вакцину, но чьи родители ранее подвергались инъекциям мРНК. Данные указывают на два риска — ❗️тератогенные эффекты во время беременн…

🤬211🙏99❤64😱30🤔21😢14⚡8🔥3

9 Mar 2026, 17:40 UTC≈19,200 views729 reactionsread 7 November 2026
Forwarded from @poiskistiny8Video

НЕ ДЕЛАЙТЕ ПРИВИВКИ! Леденящий душу фильм. Стерилизация женщин. CHD Films представляет - леденящую душу, страшную историю о том, как эксперимент Всемирной организации здравоохранения (ВОЗ) по контролю численности населения под видом программы вакцинации привел к стерилизации миллионов женщин в Африке без их ведома или согласия. Фильм, снятый удостоенным наград режиссером Энди Уэйкфилдом, Робертом Ф. Кеннеди-младшим…

💯337😱193🔥56😢54🤬37❤29🙏18👍5

3 Mar 2026, 12:04 UTC≈21,900 views738 reactionsread 7 November 2026
Forwarded from @amantonioVideo

Роберт Кеннеди объясняет, почему всей медицинской системе - врачам, фармацевтическим и страховым компаниям - выгодно, чтобы вы болели. Никому кроме вас и ваших близких не выгодно, чтобы вы были здоровы.

💯537👍79🤬52🔥17🤔17❤15🙏8🎉6

19 Jan 2026, 17:03 UTC≈116,000 views748 reactionsread 7 November 2026

То, что многие подписчики замечают среди своих знакомых и близких - зависимость возникновения онкозаболевание от вакцинации против COVID-19 теперь нашло научное подтверждение. Недавно опубликованный систематический обзор в Oncotarget (3 января 2026 года) собрал и проанализировал 69 рецензируемых исследований и отчетов за 2020–2025 годы, выявив последовательные паттерны агрессивного поведения рака в непосредственной …

😱267💯224👍111❤63😢32🤬27🤝9🙏9

15 Jan 2026, 21:38 UTC≈23,600 views982 reactionsread 7 November 2026
Forwarded from @budte_zdorovi_vse

Здравствуйте! Подобные статьи стали появляться всё чаще. Одни авторы клянут ⬇️⬇️⬇️ мРНК вакцины, утверждая, что те, кому повезло (намек на Спутник V и другие вакцины АстраЗенеки), получали безопасную векторную вакцину. Но ведь по векторам также не проведено заключений комиссий по соотношению "Вред/Польза". А наш Минздрав сообщает, что результаты эксперимента на 76 млн наших сограждан — коммерческая тайна. Подождите…

💯617❤160🙏105👍59🔥30👏8😁2👎1

Showing the 12 most recent of 16 posts we hold for @vzpinfo. 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

Named by 7 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“ВРАЧИ ЗА ПРАВДУ” (@vzpinfo), 33,080 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/vzpinfo.

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.