Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
14 measurements spanning 42 days, net -77. 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 8,611–8,712 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 20:59
8,623
-8
14 Sept 2026, 18:41
8,631
-9
10 Sept 2026, 19:19
8,640
-17
5 Sept 2026, 19:18
8,657
-7
2 Sept 2026, 01:47
8,664
+1
30 Aug 2026, 04:35
8,663
+2
27 Aug 2026, 04:45
8,661
-2
24 Aug 2026, 08:18
8,663
-10
20 Aug 2026, 22:53
8,673
-17
17 Aug 2026, 21:05
8,690
-2
14 Aug 2026, 19:26
8,692
+5
11 Aug 2026, 01:27
8,687
-13
7 Aug 2026, 12:32
8,700
no change
7 Aug 2026, 12:22
8,700
first reading
Engagement
25 posts held, back to 24 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 27 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.38%
avg views ÷ 8,623 subscribers
Avg views / post
550
1 post measured
Reaction rate
2.18%
reactions ÷ views · ER floor
Posts in window
1
of 25 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 26 August 2026
Posts held
25 (24 April 2026 – 26 August 2026)
Views total
550
Reactions total
12
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 16:37 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
30s
Average length
30s
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
737 reactions across 25 posts, in 9 distinct kinds. The most used accounts for 31.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
229
31.1%
👍
209
28.4%
👏
143
19.4%
❤🔥
68
9.23%
🙏
41
5.56%
🔥
37
5.02%
🤯
6
0.814%
😍
2
0.271%
🥰
2
0.271%
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 25 of the 25 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 737 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 24 April 2026 to 26 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.
https://www.youtube.com/watch?v=cnL5ytIBpBU
*Argentina perdió a su juez por presiones externas - Dra. Chinda Brandolino*
En esta nueva emisión, la Dra. Chinda Brandolino analiza la destitución del juez Alfredo López como un ejemplo de una realidad preocupante: dirigentes argentinos que parecen responder más a presiones e intereses externos que a las necesidades de su propio pueblo.
¿Quién decide realmente en la A…
https://www.youtube.com/watch?v=XLxf3ys88So
Primer Congreso Internacional Identitario - Conferencia Dra. Chinda Brandolino
Primer Congreso Internacional Identitario convocado en México en el año 2015 por el cumpleaños número 100 de Don Salvador Borrego y en su homenaje.
https://www.youtube.com/watch?v=oEhPii3KyaU
*Especial TLV1 Nº41 - Caso Alfredo López: ¿quién manda en la Justicia argentina?*
Este martes 18 de agosto fue destituido el juez federal de Mar del Plata, Alfredo López, tras conocerse el fallo del Jurado de Enjuiciamiento.
TLV1 estuvo presente para registrar este momento decisivo, recoger testimonios y entrevistar a quienes acompañaron al magistrado durante la jornada…
https://www.youtube.com/watch?v=-W_8MFFoz4s
*“8 de Agosto: La Voz de Argentina por las Dos Vidas” - Dra. Chinda Brandolino*
Argentina levantó su voz, y la Dra. Chinda Brandolino fue una de las mujeres que puso su palabra, su conocimiento y su presencia al servicio de esta causa.
Hoy recorremos en resumidas imágenes sus distintas participaciones, sus intervenciones y cada escenario en el que defendió la vida y lle…
https://www.youtube.com/watch?v=uDbNOS89G1o
Entrevista a la Dra. Chinda Brandolino en "Dime la Verdad" - Programa censurado
Un programa de archivo con la Dra. Chinda Brandolino, nuevamente disponible para quienes deseen verlo.
https://www.youtube.com/watch?v=cU3wevbUUoE
*Medicina y algo más Nº8 - Medicina Legal - Dra. Chinda Brandolino*
En este nuevo episodio de Medicina y Algo Más, la Dra. Chinda Brandolino nos invita a recorrer los orígenes de la medicina legal, una disciplina fundamental para comprender el vínculo entre la medicina y la justicia.A lo largo de la entrevista, analiza cómo surgió esta especialidad, su evolución histórica…
https://youtu.be/WaheH7zfgZk?si=Zajl31M9ElZtEPJa
En esta entrevista, la Dra. Chinda Brandolino brinda una serie de aclaraciones sobre la homeopatía, una práctica que, según sostiene, ha sido ampliamente cuestionada y descalificada con el paso del tiempo.
A lo largo de la conversación aborda sus fundamentos, su origen histórico y responde a una pregunta que suele generar debate: ¿la homeopatía tiene un principio cri…
https://www.youtube.com/watch?v=r3_PQOaJrKw
“Dictadura sanitaria”: “La pandemia fue un ensayo” - Dra. Chinda Brandolino - Facundo Pereyra
En una entrevista con Facundo Pereyra, de RADIO REALPOLITIK FM, la doctora Chinda Brandolino se refirió a la reciente presentación de su libro Hacia el reinado del anticristo, realizada días atrás en la ciudad de La Plata.
Durante la conversación, abordó los principales ejes de…
https://www.youtube.com/watch?v=6yIvFPdFc2Q
*Denuncia sobre violencia estatal contra la familia y los niños - Dra. Chinda Brandolino*
Sobre el reciente caso ocurrido en Olavarria.
https://www.youtube.com/watch?v=Q4JKaQkNcfo
*La Polémica del Grafeno: Mi Respuesta - Dra. Chinda Brandolino*
En medio de la controversia que se ha generado en las redes sociales, la Dra. Chinda Brandolino aclara su posición respecto del grafeno. Explica qué aspectos cuestiona, qué es lo que realmente niega sobre este material y qué considera que pueden ser sus efectos, desarrollando su postura y respondiendo a las…
En medio de la controversia que se ha generado en las redes sociales, la Dra. Chinda Brandolino aclara su posición respecto del grafeno. Explica qué aspectos cuestiona, qué es lo que realmente niega sobre este material y qué considera que pueden ser sus efectos, desarrollando su postura y respondiendo a las interpretaciones surgidas en el debate público.
Programa completo: https://www.youtube.com/watch?v=Q4JKaQkNcfo
👏23👍8
Showing the 12 most recent of 25 posts we hold for @ChindacBrandolino. 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Dra. Chinda Brandolino” (@ChindacBrandolino), 8,623 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ChindacBrandolino.
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.