Channel

К-А: Фактчекинг

@covifakes

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

15subscribers

+0 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID	-1001719892778
Type	Channel
Username	@covifakes
Description	Анализ и аргументированная деконструкция заблуждений и фейков о COVID-19. Принципы медиаграмотности. Ссылки на полезные ресурсы.
Created	Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded	12 August 2026
Last confirmed live	12 August 2026
Measurements held	2
On Telegram	t.me/covifakes

Growth

2 measurements spanning 3 days. 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 14–16 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
12 Aug 2026, 00:16	15	no change
8 Aug 2026, 22:01	15	first reading

Engagement

20 posts held, back to 23 October 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 8 July 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos: ≈609
Videos: ≈64
Links: ≈1,680

Lifetime counters from Telegram’s own channel header, read 12 August 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 47s
Average length: 54s

Measured directly from 2 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.

Recent posts

8 Jul 2025, 16:59 UTC29 viewsread 12 August 2026

Forwarded from @furherringPhoto

на картинке — вовсе не окна панельной многоэтажки. это кессонная иллюзия*, на которой жители «цивилизованных» обществ, выросшие среди ортогональных углов, домов, коридоров и улиц, обычно видят квадраты и прямоугольники. но здесь же можно рассмотреть и ряды окружностей — для этого рекомендуют, например, сконцентрироваться на крестике, обозначенном в центре именно их на том же изображении различают** представители изо…

24 Jun 2025, 14:46 UTC29 viewsread 12 August 2026

https://www.youtube.com/watch?v=W5xmLqBDmjQ&list=WL&index=1

5 Jun 2025, 14:23 UTC31 viewsread 12 August 2026

https://globalfactchecking.com/prostranstvo-pravdy-novye-media-tehnologii-faktcheking-pryamaya-translyacziya-s-globalnogo-czifrovogo-foruma

15 May 2025, 15:32 UTC28 viewsread 12 August 2026

Forwarded from @vaccines_truth

Когда антивакцинаторы оказываются правы: вирус SV40 https://telegra.ph/Kogda-antivakcinatory-okazyvayutsya-pravy-virus-SV40-04-06

15 May 2025, 15:28 UTC19 viewsread 12 August 2026

Forwarded from @kidsplusmore

Почему перед прививками необходимо подписать добровольное согласие и берут ли тем самым родители на себя всю ответственность «за последствия»: «Родители не должны нести ответственность за вакцинацию»

15 May 2025, 15:27 UTC11 viewsread 12 August 2026

Forwarded from @kidsplusmore

Статья в тему⬆️ Она больше про ненужные анализы перед прививками, однако про правила вакцинации и противопоказания там тоже есть информация. Будьте здоровы! © С медицинского на русский

15 May 2025, 15:26 UTC10 viewsread 12 August 2026

Forwarded from @kidsplusmore

«Кто колется, тот гриппом и болеет!»: отношение к противогриппозным прививкам в нашей стране, скорее, скептическое. Многие сомневаются, что вакцина будет эффективна, потому что вирусы гриппа быстро мутируют. Возможно, эти люди просто боятся прививок, однако подобные опасения не лишены оснований. Мало того, такое уже случалось: в 1947 году в США обнаружили, что противогриппозные вакцины, разработанные в 1945 году, пер…

17 Mar 2025, 14:16 UTC24 viewsread 12 August 2026

Немецкая разведка выяснила происхождение коронавируса https://youtu.be/mUNnfldHROQ?si=lWK63yXxAU8Mg58M В пятилетие ковидных карантинов две большие немецкие газеты, Süddeutsche Zeitung и Die Zeit, вышли с материалами, в которых рассказывают о данных немецкой разведки, доказывающих, что коронавирус сбежал из лаборатории. Что это за данные? Неужели всё это время сторонники версии искусственного происхождения были правы…

18 Feb 2025, 12:20 UTC25 viewsread 12 August 2026

Разговор о важном. Век информации. Проверяем информацию с А. Пушным 5-7 классы 9 сентября https://youtu.be/lVjCfPnSLeo?si=9QdRtlzRMceijWOY

4 Feb 2025, 12:55 UTC29 viewsread 12 August 2026

Forwarded from @vaccines_truth

Влияние программ вакцинации на заболеваемость и смертность от кори: сравнительный исторический анализ Препринт: https://zenodo.org/records/14776013 В дискуссии к заметке @ninavaccina о Червонской оппоненты прививок утверждали, что снижение смертности в прошлом связано не столько с вакцинацией, сколько с улучшением условий жизни, а доказательств эффективности вакцин, по их мнению, недостаточно. Некоторые участники …

4 Feb 2025, 12:54 UTC17 viewsread 12 August 2026

Forwarded from @ninavaccina

Г-жа Червонская — любимица пабликов, которые придерживаются антипрививочной риторики. Вот она, герой нашего времени, учёный, правдоруб! Давайте проанализируем ее высказывания, например то, что на видео. Прием, которым пользуется Червонская, называется в пропаганде "апелляция к общеизвестным истинам", будто бы то, что она говорит очевидно для всех. И действительно кажется логичным, если бы у всех была одинаковая чувс…

4 Feb 2025, 12:54 UTC12 viewsread 12 August 2026

Forwarded from @ninavaccinaVideo

Комментарии к видео тут. #nv_бабуля 24.01.25 by @ninavaccina

Showing the 12 most recent of 20 posts we hold for @covifakes. 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 — 879,766 of 1,151,006entries 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.

С медицинского на русский
@kidsplusmore · 5163 posts Truth about Vaccines
@vaccines_truth · 7893 posts ninavaccina
@ninavaccina · 89,4822 posts Селедка над шубой
@furherring · 5,8821 post Вован и Лексус
@Russiacalling · 174,8201 post

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 1 registered channel — 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.

Named by

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

Ковид-Аналитик
@CovidAnalityc · 1421 post

Names

Channels on the register whose handles appear in this channel's posts.

ninavaccina
@ninavaccina · 89,4823 posts С медицинского на русский
@kidsplusmore · 5162 posts Вован и Лексус
@Russiacalling · 174,8201 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“К-А: Фактчекинг” (@covifakes), 15 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/covifakes.

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.