International news — 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 84% 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 the other topics.
Growth
63 measurements spanning 97 days, net -520. 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 10,362–11,038 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
12 Nov 2026, 12:49
10,440
-16
10 Nov 2026, 13:17
10,456
-7
8 Nov 2026, 23:01
10,463
-7
7 Nov 2026, 14:46
10,470
-4
6 Nov 2026, 15:56
10,474
-9
5 Nov 2026, 12:30
10,483
-6
4 Nov 2026, 14:19
10,489
-13
3 Nov 2026, 13:46
10,502
-3
1 Nov 2026, 12:15
10,505
-3
31 Oct 2026, 12:52
10,508
-2
30 Oct 2026, 13:35
10,510
-3
29 Oct 2026, 16:06
10,513
-5
28 Oct 2026, 13:39
10,518
-8
27 Oct 2026, 11:00
10,526
-4
26 Oct 2026, 10:26
10,530
-12
25 Oct 2026, 09:06
10,542
-5
24 Oct 2026, 09:27
10,547
-3
23 Oct 2026, 08:45
10,550
-8
22 Oct 2026, 08:31
10,558
-1
21 Oct 2026, 02:27
10,559
first reading
Engagement
91 posts held, back to 6 July 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 65 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.28%
avg views ÷ 10,440 subscribers
Avg views / post
655
31 posts measured
Reaction rate
2.42%
reactions ÷ views · ER floor
Posts in window
31
of 91 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 13 November 2026
Posts held
91 (6 July 2026 – 13 November 2026)
Views total
20,311
Reactions total
492
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Nov 2026, 11:08 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
Photos
≈4,090
Videos
≈5,060
Links
≈5,770
Lifetime counters from Telegram’s own channel header, read 15 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1h 20m
Average length
1m 18s
Measured directly from 62 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
1,297 reactions across 91 posts, in 18 distinct kinds. The most used accounts for 46.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
606
46.7%
👍
338
26.1%
👏
115
8.87%
🤬
81
6.25%
🔥
33
2.54%
😢
25
1.93%
👌
23
1.77%
💔
19
1.46%
🤮
18
1.39%
👎
7
0.54%
😱
7
0.54%
🤔
7
0.54%
🤨
5
0.386%
🏆
3
0.231%
👀
3
0.231%
💯
3
0.231%
🤯
3
0.231%
🤩
1
0.077%
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 91 of the 91 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 1,297 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 91 most recent posts we hold, published 6 July 2026 to 13 November 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
Telegram’s own ‘edited’ marker: 4 of 31 posts held from the last 30 days (12.9%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🏥🇨🇱 ¡NO OLVIDAMOS LO QUE VIVIMOS DURANTE LA PANDEMIA DEL COVID-19!
En la discusión del Presupuesto de la Nación 2027, rechacé la partida del Ministerio de Salud y cuestioné duramente las políticas sanitarias implementadas durante la pandemia del COVID-19. Los confinamientos, sus consecuencias sociales, económicas y psicológicas, y las decisiones adoptadas por las autoridades merecen una evaluación profunda, transpar…
🏗️ QUEREMOS UN PLAN AMBICIOSO DE OBRAS PÚBLICAS 🇨🇱
¡El Distrito 8 no puede seguir siendo el patio trasero de Santiago! Durante la discusión del Presupuesto de la Nación 2027, hice un llamado al Gobierno a terminar con el abandono que por años han sufrido las familias de Lampa, Colina y Tiltil, especialmente en materia de agua potable, infraestructura sanitaria, educación y conectividad.
🚆 Necesitamos con urgencia un…
⚖️ HISTÓRICA INYECCIÓN PARA LA DEFENSORÍA DE VÍCTIMAS 🇨🇱
¡Chile necesita una justicia que proteja a las víctimas y no que privilegie a los delincuentes!
Durante la discusión del Presupuesto de la Nación 2027, manifesté mi profunda preocupación por un sistema judicial que, a mi juicio, ha puesto demasiadas veces los derechos de los victimarios por sobre la protección de los ciudadanos. ¡No podemos seguir permitiendo …
📚BASTA DEL DESPILFARRO EN LA EDUCACIÓN 🇨🇱 Continuamos con la discusión del Presupuesto de la Nación 2027 y esta vez abordamos los recursos destinados al Ministerio de Educación. ¡No podemos seguir financiando burocracia y mala gestión mientras nuestros estudiantes necesitan una educación de calidad!
⚠️ El cuestionado programa “Yo elijo mi PC” es un claro ejemplo de por qué debemos fortalecer la fiscalización y corre…
💰🏛️ ¡La eficiencia del Estado también debe comenzar por el Congreso Nacional!
Durante la discusión del Presupuesto de la Nación, solicité rechazar los recursos destinados al personal del Consejo de Asignaciones Parlamentarias, organismo que mantiene sus cinco cargos vacantes desde marzo de este año. ¿Qué sentido tiene seguir destinando presupuesto a una estructura que no está funcionando?
🇨🇱 Si queremos cuidar los …
🏛️ FISCALIZACIÓN A LA SALUD PRIVADA 🇨🇱
Hoy, en el marco de la discusión del Presupuesto de la Nación, planteé una indicación fundamental: ¡Los recursos públicos destinados a la salud deben administrarse con transparencia, responsabilidad y resultados concretos! No basta con entregar recursos a instituciones privadas; debemos saber cómo se utilizan, qué resultados generan y cuántos chilenos se benefician realmente. 🏥
…
🇨🇱💪 ¡Basta de recortar recursos esenciales mientras se sigue financiando la ineficiencia del Estado! No podemos permitir que se reduzcan fondos destinados a las pymes, la atención primaria de salud y otras necesidades fundamentales de las familias chilenas, mientras programas públicos mal evaluados continúan consumiendo millones de pesos sin entregar resultados.
💰 El Presupuesto de la Nación debe construirse con res…
👵🏻👴🏻 ¡La tecnología debe facilitar la vida de las personas, no convertirse en una barrera que les impida ejercer sus derechos! No podemos permitir que nuestros adultos mayores y personas con discapacidad queden excluidos de trámites esenciales, como cobrar sus pensiones o acceder a servicios de salud, por fallas en los sistemas digitales o biométricos.
🇨🇱 Por eso, respaldo el proyecto que establece mecanismos altern…
❤️🇨🇱 ¡Hoy me sumé a esta gran cruzada solidaria e hice mi aporte a la Teletón! Porque cuando se trata de ayudar, no existen diferencias políticas ni colores, solo un país unido por una misma causa.
💪 Quiero invitar a todos los chilenos a sumarse y realizar su donación. No importa el monto, cada aporte cuenta y puede marcar una gran diferencia en la vida de miles de niños, niñas y sus familias.
¡Vamos, Chile! Una v…
🏡👏 ¡Un gran paso hacia el sueño de la casa propia en Pudahuel! Hoy participé en la ceremonia de colocación de la primera piedra del conjunto habitacional Claudio Arrau 2, un proyecto que beneficiará a 480 familias que llevan años esperando por su vivienda definitiva.
❤️ Durante la actividad conversé con el Alcalde de Pudahuel, Ítalo Bravo, sobre la importancia de trabajar en conjunto, más allá de las diferencias pol…
CARTEL DE 7 AFP SAQUEA LAS PENSIONES DE SUS PROPIOS COTIZANTES
https://youtube.com/live/b6m111Sv83c?si=BSsBrK43gdKBgZqx
❤8
Showing the 12 most recent of 91 posts we hold for @DocFilesOficial. 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.
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.
Handles this channel named that no longer answer
Dead references
3
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
2
vacant every time we have ever looked
@DocFilesOficial named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@rtultimahora named in 2 posts, 2 September 2026 – 2 September 2026 · confirmed gone 9 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@senronjohnson named in 4 posts, 8 August 2026 – 11 August 2026
@sputnikmundo named in 1 post, 2 September 2026 – 2 September 2026
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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“Doc Files 🌎” (@DocFilesOficial), 10,440 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/DocFilesOficial.
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.