8 measurements spanning 20 days, net -12. 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 2,193–2,209 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
27 Aug 2026, 05:12
2,195
-2
20 Aug 2026, 18:36
2,197
-2
17 Aug 2026, 16:48
2,199
-1
14 Aug 2026, 09:37
2,200
-5
11 Aug 2026, 09:23
2,205
-1
8 Aug 2026, 13:36
2,206
-1
7 Aug 2026, 14:33
2,207
no change
7 Aug 2026, 14:20
2,207
first reading
Engagement
16 posts held, back to 2 April 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
11.6%
avg views ÷ 2,195 subscribers
Avg views / post
255
2 posts measured
Reaction rate
1.18%
reactions ÷ views · ER floor
Posts in window
2
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
Window
Rolling 30 days · latest post in window 30 July 2026
Posts held
16 (2 April 2026 – 30 July 2026)
Views total
510
Reactions total
6
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 14:33 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
7m 24s
Average length
3m 42s
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.
Reaction mix
64 reactions across 15 posts, in 10 distinct kinds. The most used accounts for 29.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
19
29.7%
❤
15
23.4%
😁
8
12.5%
👏
6
9.38%
🤣
5
7.81%
👎
4
6.25%
🙏
3
4.69%
😴
2
3.13%
😎
1
1.56%
😱
1
1.56%
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 15 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 64reactions 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 2 April 2026 to 30 July 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.
LA NOTICIA DEL DÍA.
En el día en el que uno de los artífices de la "pandemia de COVID", el doctor Fauci, declaraba ante el Congreso de los Estados Unidos de América, Donald J. Trump, compartió este vídeo explicando cómo se fabrica una vacuna, bajo el titular " TODAS son Veneno" y con el subtítulo "Todas y cada una de ellas".
No hay más preguntas, su señoría.
Trump, por ocupar el lugar que ocupa, no puede decir todas las verdades de golpe y lo va haciendo dosificadamente. En su red social este video con un título bien revelador y claro: TODAS LAS VACUNAS SON VENENO, lo que venimos diciendo siempre en Stop Vacunas.
👁 La Alianza para la Vacunación Gavi, impulsada por Bill Gates, ya en 2021 tenía una bola de cristal y apuntaba al hantavirus como la próxima pandemia.
Publicación del 10 de mayo de 2021:
https://www.gavi.org/vaccineswork/next-pandemic/hantavirus
💉 Las vacunas contra el hantavirus se posicionan al menos desde el 30 de enero de 2020:
https://pmc.ncbi.nlm.nih.gov/articles/PMC7002362/
💉 Esta solicitud de patente de va…
La prueba irrefutable de la funesta historia de la vacunación en España, gracias a Silvia Llácer Paz.
En Julio de 2019, la gran investigadora y Biomédica Silvia Llácer Paz analizó pormenorizadamente un artículo del instituto Carlos III sobre la evolución de las enfermedades infecciosas y el impacto de la vacunación en España a lo largo del siglo XX. Ya os adelanto, que Silvia demostró científicamente que las vacunas…
Atención a este BOMBAZO.
El jefe de toxicología de los experimentos de nuevos medicamentos de Pfizer para Europa confiesa ante comisión parlamentaria que conocían los peligros de la vacuna COVID y que nunca debió llegar al mercado.
Máxima difusión.
El FBI ha entrado en las oficinas del doctor Fauci dentro de una operación sobre los orígenes (financiación) del Covid.
https://x.com/i/status/2044168811990135000
👍2👎2❤1🤣1
Signed Lua Català
Showing the 12 most recent of 16 posts we hold for @STOPVACUNAS. 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
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.
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 27 August 2026 — this
entry's latest reading, not the date you are reading this.
“STOP VACUNAS (Canal)” (@STOPVACUNAS), 2,195 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/STOPVACUNAS.
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.