8 measurements spanning 21 days, net +48. 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 1,746–1,808 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
28 Aug 2026, 06:02
1,801
+4
25 Aug 2026, 14:39
1,797
+2
22 Aug 2026, 15:06
1,795
+7
19 Aug 2026, 15:52
1,788
+4
13 Aug 2026, 08:15
1,784
+12
10 Aug 2026, 15:27
1,772
+13
7 Aug 2026, 12:32
1,759
+6
7 Aug 2026, 02:17
1,753
first reading
Engagement
37 posts held, back to 6 August 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
2.88%
avg views ÷ 1,801 subscribers
Avg views / post
51.9
37 posts measured
Reaction rate
3.56%
reactions ÷ views · ER floor
Posts in window
37
of 37 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 14 of 37 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
37 (6 August 2026 – 7 August 2026)
Views total
1,920
Reactions total
31
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 17:37 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
56m 30s
Average length
8m 04s
Measured directly from 7 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
31 reactions across 14 posts, in 9 distinct kinds. The most used accounts for 25.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
8
25.8%
😈
6
19.4%
👍
4
12.9%
🔥
4
12.9%
🤬
3
9.68%
💯
2
6.45%
😱
2
6.45%
😎
1
3.23%
🙏
1
3.23%
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 14 of the 37 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 31reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 6 August 2026 to 7 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.
👆👆HOMBRE Y MUJER ARRESTADOS EN TAMPA POR ROBO ARMADO TRAS CONOCER A LA VÍCTIMA EN EL CASINO HARD ROCK
Benjamin Lopez, de 37 años, y Anayaliz Dorsey-Criado, de 18, fueron arrestados en Tampa por un robo armado ocurrido después de que ambos conocieran a la víctima en el Seminole Hard Rock Casino.
Según la Policía de Tampa, los acusados se encontraron con el hombre en el casino el sábado 1 de agosto. Posteriormente, l…
#Cuba 🇨🇺 | Lo que mandó el dictador Fidel mezclado cuando el Mariel no es nada comparado con gran parte de lo que entró por la frontera sur. Y pensar que muchos de los padres y abuelos de estos “Hombres Nuevos que forjó Fidel” salieron a las calles a tirar huevos y gritarle “Escoria” a las familias que salieron por el Mariel en el éxodo de 1980. Sin palabras 😶
Abajo más de la historia @diva0333
Linda Moulton Howe - 🇦🇶 Los vínculos de la Antártida con la Atlántida y la tecnología alienígena oculta
🙋🏼♀️🛸ESCUCHEN BIEN YA ESTO SE A COMPROBADO QUE SI FUE CAMBIADO Y MODIFICADO EL CLIMA DE ANTARTICA.. ALLI ESTA MUCHAS RAZA DE ESTAS.
UNAS NEUTRALES, OTRAS ALIADAS Y OTRA SON HOSTILES. diva33
https://rumble.com/v59dqi1-linda-moulton-howe-antarcticas-links-to-atlantis-and-hidden-alien-tech.html
🛡⚔️WWG1WGA🛡⚔️
🇺🇸🙋…
👆🏻👆🏻🛸🙋🏼♀️
UFO Research (NSW) Incorporated (https://www.youtube.com/@uforesearchnswincorporated4320)
¿Podrían los círculos en los cultivos ser mucho más que patrones misteriosos que aparecen de la noche a la mañana? ¿Podrían representar un mensaje sofisticado que apunta hacia el futuro de la humanidad, e incluso una cronología para el primer contacto?
En esta fascinante presentación, Horace Drew —investigador de cí…
VOLVIENDO A LA REALIDAD...🔥🔥🔥🔥
¿POR QUÉ NADIE SABE ESTO? EL MALVADO "ESTADO PROFUNDO" (DEEP STATE) HA ROBADO LA HISTORIA...
¡¡MÁS TE VALE PENSAR BIEN QUIÉN ES TU ENEMIGO Y CUÁL ES!!
CUANDO RUSIA SALVÓ A EE. UU. - De la película "Putin VS The Deep State - Part One" (Putin contra el Estado Profundo - Parte 1) - Por MrTruthBomb
Un breve recordatorio de que los rusos y los estadounidenses son aliados naturales contra …
👆🏻👆🏻🙋🏼♀️UNA LLAMADA DE ATENCIÓN: Atención médica bajo la Sharia en Tampa, Florida
¡Sus impuestos están financiando esto!
Un miembro de la junta directiva y líder de iTAMPA —la nueva red médica exclusiva para musulmanes— habló desde el interior de una escuela islámica financiada por los contribuyentes (sí, una que recibe vales escolares públicos) y expuso abiertamente el plan completo:
«Necesitamos... contadores, a…
Floridianos despierte llama A LA ADMIMISTRASION DE TRUMP y que hagan algo conn estas ratas musulmanas gediondas mal paridas!
DEMONIOS GENOCIDAS.
ABAJO EL REPORTE COMPLETO: @DIVA033👇🏻👇🏻🙋🏼♀️
👆🏻👆🏻👆🏻🙋🏼♀️https://rumble.com/v39p3w3-part-2-4-cia-bush-clinton-and-global-drug-traffic-cia-controls-drug-running.html
🛡⚔️WWG1WGA🛡⚔️
🇺🇸🙋🏼♀️♟✊🏻 ¡EL FIN DEL JUEGO!
@DIVA3300 https://t.me/DIVA0333
Todas las guerras estadounidenses desde la Segunda Guerra Mundial no se han librado por la democracia y la libertad, sino por el sexo, las drogas, el tráfico de armas y el lavado de dinero...
CIA
C .ocaína (Cocaine)
I .mportación (Import)
A .gencia (Agency)
>>>
Fundada por las SS nazis
El cártel de cocaína Bush-Clinton
Aquí están todos los detalles
>>>>
La CIA, Bush, Clinton y el tráfico mundial de drogas: MENA /…
sabias que, Todas las guerras estadounidenses desde la Segunda Guerra Mundial no se han librado por la democracia y la libertad, sino por el sexo, las drogas, el tráfico de armas y el lavado de dinero...
🙋🏼♀️ @DIVA33 REPORTE ABAJO👇🏻👇🏻🙋🏼♀️
👍3
Showing the 12 most recent of 37 posts we hold for @DIVA0333. 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 — 75,574 of 1,624,174entries 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.
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 4 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.
Named by
Channels on the register whose posts name this channel's handle.
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 28 August 2026 — this
entry's latest reading, not the date you are reading this.
“🙋♀️ DESPERTAR PATRIOTA NEWS con DIVA33®️🙋🏼♀️” (@DIVA0333), 1,801 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/DIVA0333.
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.