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Channel

✝️🇬🇹🔥 CONTRAAGENDA 2030🔥

@covid19guate

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

840subscribers

+1 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001377074220
TypeChannel
Username@covid19guate
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/covid19guate

Growth

839840839.57 August 2026 — 839 subscribers8 August 2026 — 839 subscribers15 August 2026 — 840 subscribers7 August 202615 August 2026
3 measurements spanning 8 days, net +1. 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 839–840 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 11:18840+1
8 Aug 2026, 01:21839no change
7 Aug 2026, 12:27839first reading

Engagement

18 posts held, back to 6 August 2026the 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
4.48%
avg views ÷ 840 subscribers
Avg views / post
37.7
15 posts measured
Reaction rate
4.35%
reactions ÷ views · ER floor
Posts in window
18
of 18 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. It is computed over the 1 of 15 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 August 2026
Posts held18 (6 August 20268 August 2026)
Views total565
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 01:21 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
16m 23s
Average length
16m 23s

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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 18 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 6 August 2026 to 8 August 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

8 Aug 2026, 00:20 UTC41 viewsread 8 August 2026

Este tip sinceramente va a cambiar tu vida y es garantizado. Aprendí algo importante: las Escrituras dicen que "el amor cubrirá multitud de pecados" (1 Pedro 4:8). También dice que cuando el Señor venga a juzgarnos, nos juzgará por el amor que dimos. Esto se refleja claramente en Mateo 25, donde Jesús explica que al ayudar al menesteroso, a la viuda, al huérfano, al desvalido, al enfermo o al encarcelado, lo estamos

8 Aug 2026, 00:19 UTC5 viewsread 8 August 2026

Saludos. Este tip sinceramente va a cambiar tu vida y es GARANTIZADO. Aprendí algo, escritura dice que el amor cubrirá multitud de pecados. También dice que cuando el señor venga a juzgarnos nos va a juzgar por el amor que dimos, en su último se ha referido en Mateo 25 cuando dice que ayudamos al menesteroso ayudamos a la viuda ayudamos al huérfano visitamos al desvalido visitamos al enfermo o al encarcelado y a su

7 Aug 2026, 15:26 UTC22 viewsread 8 August 2026
Forwarded from @liusivayaPhoto

Financial Times: Cientos y miles de ciudadanos colombianos están luchando en el ejército ucraniano en la guerra contra Rusia, pero ha resultado que muchos de ellos son soldados de cárteles colombianos y fueron enviados para recibir entrenamiento en el uso de drones, con el objetivo de mejorar sus capacidades en la lucha contra el ejército colombiano. Para la sorpresa de nadie… 😀 @LiuSivaya Redes | Apoya | Canal

7 Aug 2026, 13:18 UTCviews —

✝️🇬🇹🔥 CONTRAAGENDA 2030🔥 pinned «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…»

7 Aug 2026, 13:18 UTC23 views1 reactionsread 8 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

1

7 Aug 2026, 13:16 UTC20 viewsread 8 August 2026

¿Por qué quitaron el único ventilador que enfría gratis? No fue por lo que crees - YouTube https://m.youtube.com/watch?v=QC_MCKUDu8k&pp=ugUEEgJlcw%3D%3D

7 Aug 2026, 06:55 UTCviews —

✝️🇬🇹🔥 CONTRAAGENDA 2030🔥 pinned «ESTO ES UNA VERDADERA BOMBA!!! #SecretosDeJardineria #FertilizanteNatural #IndependenciaAlimentaria El Cubo Coreano que Produce Estimulantes Naturales para Plantas sin Fin — Se Duplica Cada 48 Horas explora un fascinante método tradicional de jardinería…»

7 Aug 2026, 06:49 UTC23 viewsread 8 August 2026
Forwarded from @maestreoscart

Trump se muestra cada vez más inseguro por los informes sobre la disminución de municiones, creyendo que esto lo debilita en las negociaciones con Irán, según informa CNN. Una serie de informes sobre la disminución de los interceptores Patriot y THAAD ha enfurecido a Trump, quien afirma que estas filtraciones proyectan debilidad mientras él amenaza con tomar más medidas contra Irán. Él insiste públicamente en que E

7 Aug 2026, 04:01 UTC23 viewsread 8 August 2026

ESTO ES UNA VERDADERA BOMBA!!! #SecretosDeJardineria #FertilizanteNatural #IndependenciaAlimentaria El Cubo Coreano que Produce Estimulantes Naturales para Plantas sin Fin — Se Duplica Cada 48 Horas explora un fascinante método tradicional de jardinería inspirado en la fermentación natural y las técnicas biológicas de cultivo. En este video descubrirás cómo los jardineros utilizan ingredientes simples y un sistema b

7 Aug 2026, 04:01 UTC24 viewsread 8 August 2026
Video

ASÍ se FABRICÓ el ODIO MUNDIAL contra el MUNDO HISPANO 🎥https://youtube.com/watch?v=2Yzy_CtftXs&is=XAWcwF94Hfhilhpw ​#ConocimientoYVerdad #Hispanidad #VerdadHistórica #LeyendaNegra #Propaganda #ImperioBritánico #HistoriaReal #AméricaHispana #GuerraPsicológica #Hispanoterapia Si quieres aprender la historia de verdad suscríbete a nuestro canal . @HispanidadConocimientoyVerdad Conocimiento y Verdad 🇪🇸

Showing the 12 most recent of 18 posts we hold for @covid19guate. 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

Names

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

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

“✝️🇬🇹🔥 CONTRAAGENDA 2030🔥” (@covid19guate), 840 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/covid19guate.

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.