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Channel

Santa Paciencia Podcast - (Antivacunas Info)

@antivacunas

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry

1,578subscribers

-2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001220967200
TypeChannel
Username@antivacunas
Created21 September 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/antivacunas

Growth

1,5781,5811,579.57 August 2026 — 1,580 subscribers7 August 2026 — 1,580 subscribers7 August 2026 — 1,581 subscribers14 August 2026 — 1,579 subscribers17 August 2026 — 1,578 subscribers7 August 202617 August 2026
5 measurements spanning 11 days, net -2. 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 1,578–1,581 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 14:091,578-1
14 Aug 2026, 10:171,579-2
7 Aug 2026, 11:111,581+1
7 Aug 2026, 01:161,580no change
7 Aug 2026, 01:071,580first reading

Engagement

20 posts held, back to 26 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.27%
avg views ÷ 1,578 subscribers
Avg views / post
51.5
20 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
20
of 20 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 6 August 2026
Posts held20 (26 July 20266 August 2026)
Views total1,031
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:59 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
15m 08s
Average length
15m 08s

Measured directly from 1 video 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

6 Aug 2026, 02:19 UTC13 viewsread 7 August 2026

24-07-2026 A new study followed up on people with breast cancer that had spread to other organs who were fed a whole food vegan diet and the survival difference is shocking. Was it diet? > https://youtu.be/NCJDorIdwhg?si=lvV0DSzQvNa2fNLn Links and Sources - Link Page with eBooks, Patreon, and Socials: https://linktr.ee/micthevegan Support Me Here: https://www.patreon.com/micthevegan Vegan Bootcamp: https://v

Signed Federico Escamilla

5 Aug 2026, 23:53 UTC10 viewsread 7 August 2026

La obsolescencia programada —la práctica deliberada de diseñar un producto para que falle o quede obsoleto después de un tiempo determinado— tiene su origen a principios del siglo XX, aunque se consolidó formalmente en las décadas de 1920 y 1930. El cartel o acuerdo más famoso que institucionalizó esta práctica a nivel industrial se llamó el Cártel Phoebus. 1. El Cártel Phoebus y las bombillas incandescentes (1924) A

Signed Federico Escamilla

5 Aug 2026, 23:16 UTC10 viewsread 7 August 2026
Forwarded from @DrAlarcos

https://www.whitehouse.gov/lab-leak-true-origins-of-covid-19/ La Casa Blanca admite por escrito: 1⃣ Que el SARS-CoV-2 se generó en un laboratorio con una probabilidad altísima. 2⃣ Que todas las COVID19 en humanos parten de un mismo "paciente cero" que probablemente se infectó en el instituto de Virología de Wuhan. 3⃣ Que no existía (ni existe) evidencia científica que avale el uso de las mascarillas. 4⃣ Que no e

Signed Federico Escamilla

5 Aug 2026, 23:10 UTC11 viewsread 7 August 2026
Photo

05-08-2026 "Las tierras argentinas no se venden" Licha martinez jugador de la seleccion argentina > https://www.minutouno.com/deportes/lisandro-martinez-se-pronuncio-la-ley-tierras-y-fue-contundente-no-se-venden-n6307459

Signed Federico Escamilla

5 Aug 2026, 13:55 UTC20 viewsread 7 August 2026

04-12-2025 MONOCULTURA Nickelback, Espiritismo y iPhone. Steve Jobs fue un revolucionario tan gigante que seguimos sin comprender, la enorme mision de darle libertad al mundo ? Nickelback is one of the most commercially successful rock bands of the 21st century, selling more than 50 million records worldwide and dominating radio throughout the 2000s. Despite this success, the group gradually became a cultural punc

Signed Federico Escamilla

3 Aug 2026, 14:40 UTC32 viewsread 7 August 2026

Confirmado: apretaron a los jugadores argentinos y a sus familiares ante... Un cuento de fantasia https://youtube.com/watch?v=AXSnUVPIZ9k&si=jysbgQN51Jbhk1gg

Signed Federico Escamilla

2 Aug 2026, 22:55 UTC137 viewsread 7 August 2026
Video

31-08-2026 El cambio más amplio es real: la radio está convirtiéndose rápidamente en un medio de detección tanto como en un medio de comunicación. Con la IA, la misma infraestructura puede comunicarse con el mundo y también percibirlo, a escala de una habitación, de un edificio e incluso de una ciudad. No se necesitan cámaras. Las inevitables implicaciones de esta tecnología son lo que exploraremos. > https://www.y

Signed Federico Escamilla

2 Aug 2026, 22:31 UTC30 viewsread 7 August 2026

31-07-2026 En vez de dar esta tecnologia a los rescatistas en Venezuela... Por esto el mundo sigue asi... Radio waves were built to carry information. Now AI is learning to read the physical world hidden inside their reflections. The same basic idea behind Call of Duty’s heartbeat sensor already exists in soldiers’ kit bags, Google’s Nest Hub, cheap radar boards—and, at a much larger scale, the cellular networks s

Signed Federico Escamilla

2 Aug 2026, 19:34 UTC134 viewsread 7 August 2026

02-08-2026 – Dr. William Makis ¿Saben por qué odian tanto la ivermectina? Porque en todos los lugares donde la ivermectina se utilizó ampliamente, no obtuvieron la cantidad de muertes que necesitaban desesperadamente. El objetivo de quienes estaban a cargo de la respuesta a la pandemia de COVID-19 era aumentar el número de fallecidos para poder empujar a la gente a vacunarse contra la COVID-19. Nadie que ocupara

Signed Federico Escamilla

2 Aug 2026, 19:32 UTC20 viewsread 7 August 2026

02-08-2026 - Dr. William Makis Do you know why they hate Ivermectin so much? Because everywhere Ivermectin was used widely, they didn't get the death counts they desperately needed. The goal of those in charge of the COVID-19 Pandemic Response was to drive up the death toll so they could herd people into the COVID-19 jabs. No one in any position of power was trying to save lives. No one. They were trying to kill

Signed Federico Escamilla

31 Jul 2026, 18:16 UTC38 viewsread 7 August 2026
Photo

Si Messi fue una e las mechas de la Argentinidad... Preparense, para ser aun mas perseguidos solo por el potencial de nuestra sangre Indio-Argentina. "Faustino Oro volvió a escribir una página dorada para el ajedrez argentino🇦🇷♟ El joven prodigio, logró la victoria frente al Gran Maestro polaco Jan-Krzysztof Duda. El triunfo se dio en el marco de una partida de ritmo rápido (Bullet) y tuvo una repercusión inmensa

Signed Federico Escamilla

31 Jul 2026, 17:49 UTC34 viewsread 7 August 2026
Photo

The Real Anthony Fauci became the #1 non-fiction hardcover bestseller despite being the most censored book of the decade. Bookstores, including national chains, refused to carry it. Libraries refused to carry it. Every major newspaper declined to review it. The New York Times refused to publish a paid advertisement for the book and made it #7 on its bestseller list, even though it outsold any other book by thousands

Signed Federico Escamilla

Showing the 12 most recent of 20 posts we hold for @antivacunas. 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 — 241,158 of 1,548,671entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

“Santa Paciencia Podcast - (Antivacunas Info)” (@antivacunas), 1,578 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/antivacunas.

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.